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Canaux
3759 éléments (18 non lus) dans 55 canaux
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Planet OSGeo
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sur Oslandia: (Fr) [En image] Giros 360 : un jumeau numérique pour la Garonne
Publié: 18 January 2024, 9:15am CET
Sorry, this entry is only available in French.
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sur gvSIG Batoví: NUEVO GRUPO TELEGRAM PARA URUGUAY (PERO ABIERTO A OTROS…)
Publié: 17 January 2024, 6:19pm CET
Hay un nuevo grupo en Telegram para los «geoinquietos»; de Uruguay pero abierto a todo aquel que quiera sumarse. Para compartir información, oportunidades de formación, becas, inquietudes, consultas, y todo aquello vinculado de algún modo a lo geoespacial. Siempre con respeto y buena onda:
Los invitamos a unirse.
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sur Sean Gillies: 2024 running goals
Publié: 1 January 2024, 12:00am CET
I've registered for the Never Summer 100K (my 3rd) at the end of July, the Black Squirrel Trail Half-Marathon (my 4th) in early September, and the Bear 100 Mile at the end of September (my 2nd try). All are events that I've run before, but never as a set. I ran Never Summer and Black Squirrel together in 2021. I did the shorter 60K version of Never Summer last year along with the Bear.
I intend to do Never Summer as part of my build up for the Bear 100. I'll give it a good go, but stay composed, and be mindful that it will be just the first week of my peak training block. I registered for Black Squirrel because I've missed running it, could be really fit that week, and some faster running might be a fun break from the long slogs of late summer.
Finishing the Bear 100 is my number one goal. I'd like to finish and do well at Never Summer and Black Squirrel, too, but am ready to sacrifice these goals if I must.
Along the way to finishing the Bear I'm going to try to add 250 miles at 220 feet per mile to last year's numbers, so 1850 miles running and 275,000 feet of climbing. This is feasible if things go well. I ran 2000 miles in 2021.
I aim to lose at least 15 pounds in the next 9 months so I don't have to drag them for 30 hours through the mountains of Utah and Idaho. I'll have to omit junk food and DIPAs to do it. In their place, I can work on training my stomach to handle Spring Energy gels.
My last goal is to increase the flexibility and durability of my ankles so that I have a better chance of weathering the trails of the Bear in 2024. I'm planning to get some physical therapy help on this early this next spring.
Good luck in reaching your own goals for next year, whether they are on or off trail!
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sur Tom Kralidis: Cheers to 2023
Publié: 31 December 2023, 8:53pm CET
2023 was a memorable year and quite the ride! Eventful and full swing on so many fronts. Here’s the annual rundown: pygeoapi: two releases, lots of development at code sprints and continuous improvement for the project. Dutch API rules, CRS and increased support for the various standards as they evolve. As well, numerous valuable discussions […] -
sur Sean Gillies: Running in 2023
Publié: 31 December 2023, 2:34am CET
2023 was a pretty good running year. I was both ambitious and conservative, overcame some adversity and learned a lot. The numbers for 2023:
363 hours
1610 miles
220,128 feet D+
3 ultra finishes
1 DNF
Coming off a down year, I signed up for my first 100 mile run, and tried to do it on fairly minimal training relative to the big miles I ran in 2021. I got my third Quad Rock 50 mile finish in May, did the Kettle Moraine 60K fun run in June, and the Never Summer 60K in July.
I had to manage and run through an episode of intense back pain in July, but recovered in time for the Bear 100 in September. At that race I was on track to finish in less than 36 hours, but wrecked my left ankle and dropped out at 61 miles. I'm going to try it again.
I ran fewer miles than in 2019-2021 years, but did a lot of climbing (including a new weekly total high), and started 4 ultra-marathons. That's a new high for me.
In 2024, I'll be trying a different mix of events. And I'll be back here at Kelly Lake.
Kelly Lake at Never Summer 2023
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sur From GIS to Remote Sensing: Remotior Sensus Update: Version 0.3
Publié: 30 December 2023, 1:38pm CET
I'm glad to announce the update of Remotior Sensus to version 0.3.The main new feature is a new module for displaying an interface similar to the Semi-Automatic Classification Plugin (which is based on Remotior Sensus) in Jupyter notebooks.Jupyter notebooks are interactive documents that can be edited in a web browser, which allow for coding in Python and interact with widgets.
The Jupyter interface is still in development and only a few tools are available. For the moment, the available tools are:- search and download of remote sensing images;
- creation and management of Band Sets;
- the dock for creating a training input and saving ROIs created interactively through polygons or region growing;
- the import of vectors in training input;
- the plot of spectral signatures;
- the classification of the Band Sets;
- a file browser for selecting files or directories.
import remotior_sensus rs = remotior_sensus.Session(n_processes=2, available_ram=1000) rs.jupyter().download_interface()
Of course this is a proof of concept, considering that this interface doesn't have all the functions of the Semi-Automatic Classification Plugin, and there are a few differences in the look and feel because of the characteristics of Jupyter notebooks.A tutorial describing this new feature will be released soon.
For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.
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sur Andrea Antonello: SMASH 1.8 is out!
Publié: 29 December 2023, 4:58pm CET
Dear all, it has been a while, but some stuff has been going on in the SMASH community. And we now have a new release. So let's have a look at what is new.
We farewell the play storeIt is a while we have additional work to do and are loosing usability in SMASH due to the restrictions imposed by the google store. The most impacting has sure been the fact to not be able to access the phone memory freely. And asking google permission to do so didn't work out, since it seems that only file browsers applications and antivirus need to access the memory freely.
With the help of the F-Droid community (special thanks to IzzySoft, Linsu and Licaon-kter) we have been able to make our second appearance on the f-Droid store. And that is now enough to completely migrate there. So we made a last release of SMASH for the store today, but it will be the last one. Please from now on come and get SMASH from the F-Droid store, where the real open source apps live.
Flutter mapWe finally made an upgrade of flutter_map, the map widget library used. This took so long, because the architecture of the library had changed and took some rework inside SMASH.
And now on to the new features:
Geometries inside formsOne nice addition that we have to thank Luca Delucchi and the Digiagriapp for is the possibility to insert inside of complex notes.
URL based forms combosIt is now possible to insert in forms URLs to substitute long item lists in comboboxes (dropdown lists). This allows forms to be smaller in case of large amounts of items and also to be more dynamic.
Gejson layer supportGeojson is now one of the supported formats in read and write mode (together with geopackage and postgis). It can be used in combination with sld styling as for the other vector formats.
More efficient toolbarThe toolbar has been redone with more usability in mind.
Editing is done on a sidebar now:
and in the settings it is possible to remove unused buttons:
leads to:
Other tiny things that might be worth telling- now the default behavior of tile maps is to zoom beyond the max zoom level by scaling (no more white emptiness)
- the current log panel has now 3 sizes for better overlay on map
- the info tool is now a box selection tool and as such way more usable
- online sources have been reworked to have the possibility to add and remove from the default. Also the default maps have been reviewed to ensure they are working
- feature info now also presents the length and area of the geometry as derived value
- we did many many bugfixes
One last thing to add. SMASH 1.8 already presents the possibility to import layers from the new GSS server. This is still in testing mode and ongoing work with the Region Piemonte and not yet disseminated as such. Just to give an idea, it will be possible to generate database tables on the server based on form definitions and download the tables as layers from the GSS and sync them two-ways. Also it will allow for point, line and polygon geometries. All in all it will be an alternative way to take notes, still using the form system and having a way to synchronize data to teh central server instance. But well, this will probably be the next story to tell, once testing is done.
Enjoy!!
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sur SIG Libre Uruguay: Y se va el último…
Publié: 28 December 2023, 2:36pm CET
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sur SIG Libre Uruguay: ¡Colombia bien representada!
Publié: 28 December 2023, 2:35pm CET
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sur gvSIG Batoví: Repaso a los proyectos premiados (final) en el Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
Publié: 28 December 2023, 2:25pm CET
Para despedirnos por este año elegimos comentar otro proyecto que bien podía haber integrado la lista de finalistas, y que por el altísimo nivel alcanzado, tal vez injustamente, ha quedado fuera del podio:
Título: 10 años del Geoparque Mundial UNESCO Grutas del Palacio
Institución: Liceo Departamental N° 1
Localidad: Trinidad
Docente de referencia: Gerardo Moraes
Tutora: Nadia ChaerQueremos resaltar especialmente este proyecto por varias razones:
- porque realizaron una publicación como parte del proyecto, en la que utilizaron los mapas creados con gvSIG Batoví
- porque los estudiantes extendieron lo que habían aprendido a otros estudiantes, en este caso de Educación Primaria, a través de la realización de varios talleres en la escuela N°31 de Trinidad, departamento de Flores (Uruguay); pueden ver un video aquí
- y porque presentaron su proyecto de una forma muy interesante, amena e interactiva
Este proyecto, realizado por estudiantes de 5° Humanístico (16 y 17 años), ha destacado también por la gran cantidad y calidad de trabajo producido: hasta elaboraron los diplomas a entregar a los participantes de los talleres escolares antes mencionados.
Nuestras felicitaciones a todo el equipo por el estupendo proyecto que han desarrollado (¡en sólo 3 meses!). Y nuestras felicitaciones también a todos los demás equipos porque, como dijimos anteriormente, en esta iniciativa no hay perdedores, sólo ganadores.
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sur gvSIG Batoví: Repaso a los proyectos premiados (IV) en el Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
Publié: 27 December 2023, 3:29pm CET
Dedicamos este post muy especialmente a los proyectos participantes desde Colombia, ya que es la primera vez que esta iniciativa cuenta con concursantes extranjeros.
equipo del proyecto 6 Turismo, Desarrollo y Medio Ambiente en Choachí presentando mediante video-conferencia su trabajo frente a los demás equipos concursantes
Para ello contamos con la colaboración de la Gobernación de Cundinamarca, a través de su Secretaría de Educación, que nos permitió extender la iniciativa del curso-concurso a todas la IED (instituciones educativas departamentales) de ese departamento colombiano.
defensa final del proyecto 8 Conectando con el Agua: Georreferenciando El «Páramo de Guerrero» en Subachoque y su Importancia Hídrica frente a integrantes del jurado, y acompañados por su tutor
Todos los equipos han hecho un excelente trabajo, a pesar de las dificultades que el traslado de la experiencia naturalmente implicaba: trabajo 100 % desde la virtualidad, aprendizaje de tecnologías desconocidas hasta el momento, diferencias culturales, dificultades en cuanto a la conectividad, etc. Al respecto cabe destacar la actitud de todos los equipos, siempre con la mejor disposición para capacitarse y para comprender los inconvenientes que pudieran surgir, así como para compartir conocimientos y aprendizajes.
el equipo del proyecto 11 Mapeando nuestro territorio: Tabio compartiendo su trabajo con los demás participantes
Queremos agradecer muy especialmente a quienes colaboraron desde la Secretaría de Educación de la Gobernación de Cundinamarca (Colombia), en particular a Efraín Castro; también a los equipos que se animaron a participar de la iniciativa y que han realizado impresionantes trabajos, además de demostrar una enorme paciencia hacia nosotros, organizadores de la propuesta; por último pero no menos importante, a Luis Vilches por haber logrado que esta participación desde Colombia finalmente se pudiera concretar. De nuestra parte, nos sentimos muy privilegiados de haber compartido un año más este proyecto con todos ustedes, e inmensamente agradecidos pues -una vez más- hemos aprendido mucho todos nosotros de esta hermosa experiencia.
logo proyecto 6
logo proyecto 8
logo proyecto 11
Por decisión del jurado resultó ganador el proyecto 6. El mismo fue desarrollado por estudiantes de décimo y undécimo grado de la IED Ignacio Pescador de la localidad de Choachí, siendo su docente de referencia la profesora Astrid Corredor. Asistió como tutor Neftalí Sillero, de la Faculdade de Ciências da Universidade do Porto (Portugal)
Pueden acceder a los demás proyectos en los siguientes enlaces:
proyecto 8: Conectando con el Agua: Georreferenciando El «Páramo de Guerrero» en Subachoque y su Importancia Hídrica, de estudiantes de séptimo, octavo y décimo de la IED La Pradera de la localidad de Subachoque. Docente de referencia: Sandra Milena Diaz Vargas; tutor: Antoni Pérez Navarro, profesor de los Estudios de Informática, Multimedia y Telecomunicación, Universitat Oberta de Catalunya (España);
proyecto 11: Recurso hídrico del municipio de Tabio: cuidado y preservación de la subcuenca del Río Chicú, de estudiantes de noveno y décimo de la IED Instituto Tecnico Comercial José de San Martín de la localidad de Tabio. Docente de referencia: John Castrillón; Tutora: Nadia Chaer, de la Comunidad gvSIG Uruguay (Uruguay);
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sur QGIS España: Participación en la GeoCamp 2023
Publié: 27 December 2023, 3:00pm CET
GeoCamp ESGeoCamp es un congreso nacional sin ánimo de lucro, que nació en 2013 y que organiza anualmente el colectivo internacional de Geoinquietos. Esta Comunidad está formada por grupos informales que se reúnen para hablar y aprender sobre cualquier tema relacionado con las ciencias de la tierra y que siente una especial afinidad por los servicios de geodatos abiertos, proyectos comunitarios, software libre y aplicaciones SIG (Sistemas de Información Geográfica), especialmente los desarrollados en torno a la comunidad OSGeo (Open Source Geospatial).
Este año Geocamp ha celebrado su 10ª Edición en septiembre en la isla de la Illa de San Simón en la ría de Vigo (Galicia - España) y ha tenido un formato Open Space, donde todos los participantes tienen un papel activo en la realización del evento para aumentar la interacción entre los asistentes para poder, con agilidad e improvisación, satisfacer espontáneamente las inquietudes de los participantes.
Empezó el evento con un maravilloso día soleado y con la isla de San Simón recibiendo a los más de 40 participantes que llegamos en barco desde el puerto de Vigo atravesando la ría, en un viaje muy interesante, amenizado con la información histórica y cultura local de mano de los tripulantes. La pequeña isla con sus históricos edificios donde se podían configurar varios espacios, permitió la realización de numerosas actividades y reuniones, tanto dentro como en el exterior.
A lo largo de la jornada se pudieron realizar seis espacios abiertos donde se habló y debatió sobre los temas que se eligieron por la propia iniciativa, interés y propuestas de los asistentes, y que fueron votados y aceptados por todos y cuyos puntos a destacar se pueden consultar aquí, documento resumen elaborado de forma conjunta por los participantes: OSM, Las Calles de las Mujeres, Geoportales participativos, JS y Web GL, Inteligencia Artificial y mapas, Teledetección, estado de las Comunidades, Estándares OGC y Blockchain.
La charla plenaria que ofreció Carmen Torrecillas de la organización Civio nos mostró cómo hacer mapas y visualizaciones increíbles, gracias al gran trabajo que hacen por la transparencia y la vigilancia de los poderes públicos.
Por supuesto, además, se comentaron todo tipo de inquietudes, experiencias, proyectos y objetivos (cómo la forma de manipular un pixel en la GPU, monitoreo de cetáceos, cooperativas, Joomla, montañismo, conjuros, etc.) a lo largo de todos los momentos en los que se pudo charlar mientras se disfrutaba de los ricos manjares gallegos, con los que se amenizaron los desayunos, comida y cena en un ambiente amable y creativo. Incluso pudimos disfrutar de fantásticas experiencias de la mano de nuestros organizadores fuera de programa como un concierto de rock ( @fpsampayo) o una queimada ( @michogar) cómo no podía ser de otra manera en esta maravillosa ciudad gallega.
La organización local reservó una cena para aquellos que querían seguir compartiendo charlas y espacio. Aunque no es algo estrictamente necesario en un evento participativo como este, siempre ayuda a crear contactos y sinergias. De hecho, muchos de los asistentes, sobre todo si han tenido que venir de otras partes de la península y tienen que hacer noche en la ciudad, lo agradecieron y acudieron para cerrar de una manera festiva el encuentro.
Como conclusiones, señalar que el formato de Open Space funcionó muy bien, contando con un amplio espacio disponible lo que facilitó la organización e incluso la gente se podría haber repartido en más grupos si hubiera sido necesario. De hecho, con grupos algo más reducidos se puede trabajar mejor la participación, aunque fue en éxito con grupos de unas 20 personas. Fue de agradecer haber previsto, mediante un formulario que se hizo llegar a los asistentes, una serie previa de temas a tratar agilizando la organización de los grupos. Realmente es un formato único para crear comunidad, aprender cosas nuevas y llevarse a casa un buen número de conocimientos e ideas. Muy gratificante haber podido conocer gente que no sabía lo que era este tipo de evento y que se encuentran con una experiencia realmente satisfactoria, donde se han podido compartir conocimientos en un ambiente participativo y distendido, que ayuda realmente a contactar a personas que ya tienen experiencia con otras que pueden estar empezando.
Habrá que esperar al año que viene para volver a disfrutar de nuevo de un encuentro tan especial como este.
AgradecimientosFelicitaciones a la organización:
Micho ( @michogar), Paco ( @fpsampayo), Pablo ( @psanxiao), Carmen ( @carmen10maica) y Jorge ( @xurxosanz) por montar el evento, así como a Xeoinquedos y Ghandalf por la cobertura.
También por supuesto a los que han confiado y apoyado económicamente el evento, ya que sin ellos no hubiera sido posible llevarlo a tan buen término (por orden cronológico de participación):
Elastic; QGIS España; B’GEO; PSIG; solucions geografiques; GeoInnova; icarto.es/; Master SIG, UNIGIS Girona; geomatico; conterra; OSGeo; asefor; abtemas; Xunta de Galicia
Enlaces de interés-
Web del evento: [2023.geocamp.es]
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Ediciones de GeocampES: [https:]]
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Resumen del evento: [https:]]
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@geocampes en X/Twitter: [https:]]
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Grupo de GeoCamp - 2023 en Telegram: [https:]]
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Geocamp2023 en Instagram:
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sur SIG Libre Uruguay: ¡UTU presente!
Publié: 26 December 2023, 8:34pm CET
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sur SIG Libre Uruguay: sucu67
Publié: 26 December 2023, 8:33pm CET
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sur SIG Libre Uruguay: Vale la pena echarle un vistazo…
Publié: 26 December 2023, 8:32pm CET
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sur gvSIG Batoví: Repaso a los proyectos premiados (III) en el Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
Publié: 26 December 2023, 3:20pm CET
Finalizando este repaso a los proyectos uruguayos premiados, toca el turno al proyecto N°3 denominado Geo 7°F.
el equipo presentando su proyecto frente a los demás equipos concursantes
El proyecto fue desarrollado por estudiantes (de 12 y 13 años) de la Escuela Técnica N°2 CME de la ciudad de Salto. La docente de referencia fue la profesora Daiana Olivera y el tutor del proyecto fue Romel Vázquez de la Universidad Central «Marta Abreu» de Las Villas (Cuba). El tema elegido fue el de las crecidas del río Uruguay y su influencia en la población de la ciudad de Salto.
logo del proyecto
Todos los proyectos han tenido sus particularidades; en este caso se trata del primer proyecto premiado perteneciente a una Escuela Técnica, siendo éste el primer año en que participan. La evolución que ha tenido este proyecto -en los escasos 3 meses de desarrollo- ha sido fantástica.
el equipo recibiendo su merecido diploma, junto a autoridades de la enseñanza
Es emocionante ver cómo cada equipo se entusiasma con sus proyectos, lo que se percibe en la jornada de cierre, a la que concurren con remeras, gorros y banderas con el logo que ellos mismos elaboraron (y algún souvenir más, como el caso de este equipo):
Pueden acceder al proyecto aquí
Queremos felicitar a todos los integrantes de equipo del Proyecto Nº3 Geo 7°F por su increíble trabajo
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sur QGIS Blog: QGIS Annual General Meeting – 2023
Publié: 23 December 2023, 11:00pm CET
Dear QGIS Community,
We recently held our 2023 QGIS Annual General Meeting. The minutes of this meeting are available for all to view.
This year, we did not have PSC elections. Anita Graser will continue as Vice-Chair, I will continue to serve on the PSC as chair, and our longstanding treasurer, Andreas Neumann, will complete the board. Furthermore, Jürgen Fischer, Alessandro Pasotti, and Régis Haubourg will continue on the PSC. Last but certainly not least, the PSC is completed by our project founder, Gary Sherman, and long-term PSC member Tim Sutton, who serve on the PSC as honorary PSC members. They both set the standard for our excellent project culture, and it is great to have his continued presence.
QGIS has been growing from strength to strength, backed by a fantastic community of kind and collaborative users, developers, contributors and funders. This year, we reached another important milestone for the project’s sustainability by welcoming our first flagship sustaining member – Felt. I look forward to seeing how it continues to grow and flourish.
Rock on QGIS!
Cheers
Marco Bernasocchi (QGIS.ORG Chair)
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sur gvSIG Batoví: Repaso a los proyectos premiados (II) en el Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
Publié: 22 December 2023, 4:29pm CET
Hoy nos toca comentar el proyecto N°5 denominado Mentes en crecimiento: Estudio de la leishmaniasis en el contexto del liceo N°2 de Salto: amenazas, debilidades, fortalezas y oportunidades en la actualidad. Este proyecto merece un destaque especial pues es continuación de otro que concursó en la edición anterior (de 2022) y que también resultó premiado.
el equipo presentando su proyecto frente a los demás equipos concursantes
El proyecto fue elaborado por estudiantes del Liceo Nº2 Dr. Antonio M. Grompone de la ciudad de Salto, siendo su docente de referencia la profesora María Patricia Leal, y su tutor Carlos Lara de la Facultad de Ciencias de la Universidad Católica de la Santísima Concepción (Chile). El tema del proyecto fue realizar un estudio descriptivo sobre las condiciones ambientales que favorecen la proliferación del vector Ludzomia Longipalpis, para promover acciones de salud tales como la promoción y prevención de la Leishmaniasis Visceral, que impacten positivamente a nivel comunitario.
logo del proyecto
Y debemos decir que los estudiantes integrantes del equipo (de 14 y 15 años de edad) hicieron algo que parecía difícil de conseguir: mejorar lo hecho el año anterior. Se trata de un gran trabajo que destaca tanto por la cantidad como por la calidad del material producido, que trascendió ampliamente los objetivos del concurso (por ejemplo, en la invención de un repelente natural contra el flebótomo (vector de trasmisión de la leishmaniasis) y de una trampa de luz para su captura)
trampa de luz
El equipo también realizó una página web del proyecto, algo que no era exigencia del concurso. Como en el caso anterior, recomendamos muy especialmente darle una hojeada: enlace aquí. Podrán apreciar por ustedes mismos todo lo que ha trabajado este equipo (especial atención a la sección Territorialización)
Se estarán imaginando lo difícil que lo tuvo el jurado para emitir su fallo pues el nivel ha sido muy alto, y se desarrollaron varios proyectos excelentes, los que no tienen nada que envidiar a un trabajo académico o a un estudio de una consultora.
los estudiantes en plena tarea
el equipo, junto a integrantes del Equipo Coordinador
Nuestras más sinceras felicitaciones al equipo del proyecto N°5 Mentes en crecimiento. Impresionante trabajo.
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sur KAN T&IT Blog: Balance de Fin de Año
Publié: 22 December 2023, 1:30pm CET
Este es el momento perfecto para reflexionar sobre los logros alcanzados y los desafíos superados en este 2023. Kan Territory & IT, líder en el ámbito de las Geosoluciones para empresas, ha vivido un año excepcional, marcado por innovaciones, participaciones inspiradoras y un compromiso continuo con la excelencia.
Este año no solo hemos mantenido la posición en la vanguardia de las tecnologías geoespaciales, sino que también hemos lanzado productos revolucionarios. Desde soluciones de mapeo más intuitivas hasta plataformas de análisis predictivo, nuestra gama de productos se ha expandido para satisfacer las crecientes demandas del mercado. Estamos emocionados por los éxitos logrados con estas nuevas herramientas, que han permitido a nuestros clientes optimizar sus operaciones y tomar decisiones más informadas.
Consideramos que establecer vínculos sólidos con la comunidad empresarial y tecnológica es fundamental para garantizar un crecimiento sostenible. En consecuencia, durante el transcurso de este año, nos involucramos de manera activa en diversas instancias de intercambio y aprendizaje, tanto a nivel nacional, como fue el caso de las Jornadas de IDERA en La Pampa, como a nivel internacional, participando en eventos destacados como la Foss4G en Kosovo y Baltimore, Big Data for Space en Austria, y el UN-GGIM América en Chile y UN-GGIM Internacional en Nueva York. En todas estas instancias, nuestro compromiso fue compartir valiosos conocimientos, experiencias y perspectivas relacionadas con las últimas tendencias en geosoluciones. Desde conferencias magistrales hasta talleres prácticos, nuestro equipo desempeñó un papel activo en fomentar un diálogo enriquecedor que ha contribuido significativamente al progreso de la industria.
Al mirar hacia atrás, estamos agradecidos por el apoyo continuo de nuestros clientes, socios y colaboradores. Cada logro de Kan Territory & IT es el resultado de un esfuerzo colectivo y de la confianza depositada en nosotros. Miramos hacia el futuro con optimismo, comprometidos a seguir innovando y ofreciendo soluciones que transformen positivamente la manera en que las empresas gestionan sus datos geoespaciales.
Queremos expresar nuestro agradecimiento a todos los que han sido parte de nuestro viaje. Que el próximo año esté lleno de nuevos horizontes, oportunidades emocionantes y éxitos compartidos. Que el 2024 sea un año de crecimiento, innovación y colaboración continua.
El equipo Kan & It
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sur GeoTools Team: GeoTools 29.4 released
Publié: 21 December 2023, 10:52am CET
GeoTools 29.4 released The GeoTools team is pleased to announce the release of the latest maintenance version of GeoTools 29.4: geotools-29.4-bin.zip geotools-29.4-doc.zip geotools-29.4-userguide.zip geotools-29.4-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer -
sur gvSIG Batoví: Repaso a los proyectos premiados (I) en el Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
Publié: 20 December 2023, 8:23pm CET
Habiendo culminado una nueva edición del Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica no queríamos despedir el año sin antes comentar brevemente algunos de los proyectos que han resultado seleccionados por el jurado como finalistas del concurso.
el equipo presentando su proyecto frente a los demás equipos concursantes
Comenzaremos por el que resultó ganador por Uruguay, denominado Urbapay (Proyecto N°12). Se trata de un proyecto elaborado por estudiantes de 12 y 13 años del Liceo N°4 Manuel Oribe de la ciudad de Paysandú. El profesor referente es Maximiliano Olivera y la tutoría del proyecto estuvo a cargo de Marino Carhuapoma (de IdeasG, de Perú). El proyecto trata del crecimiento urbano en parte de la ciudad, enfocado desde el punto de vista de los ODS N° 11 y 15, incluyendo propuestas de infraestructura y equipamiento urbano para la zona de estudio
Recomendamos muy especialmente pegarle un repaso a los materiales entregados, donde uno puede apreciar el nivel y la calidad obtenidos en apenas 3 meses de trabajo (échenle un vistazo, por ejemplo, a los mapas elaborados):
Como organizadores de la iniciativa no podemos quedar más que satisfechos por los resultados logrados, que nos demuestran que la idea del curso-concurso no sólo fue (y es) una excelente idea para enseñar de modo ameno, entretenido y profundo, sino que también contribuye en la formación de ciudadanía, al elaborase propuestas que no estaban en la idea inicial del proyecto, y tener éstas un impacto directo en el entorno (muchas de las propuestas que se incluyen en la entrega final terminan materializándose)
el equipo recibiendo el reconocimiento de las autoridades de la enseñanza de Uruguay
¡Felicitaciones a todos los integrantes del equipo del proyecto N°12 Urbapay!
Continuaremos en siguientes entradas con los demás proyectos.
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sur Paul Ramsey: Data Science is Getting Ducky
Publié: 19 December 2023, 5:00pm CET
For a long time, a big constituency of users of PostGIS has been people with large data analytics problems that crush their desktop GIS systems. Or people who similarly find that their geospatial problems are too large to run in R. Or Python.
These are data scientists or adjacent people. And when they ran into those problems, the first course of action would be to move the data and parts of the workload to a “real database server”.
This all made sense to me.
But recently, something transformative happened – Crunchy Data upgraded my work laptop to a MacBook Pro.
Suddenly a GEOS compile that previously took 20 minutes, took 45 seconds.
I now have processing power on my local laptop that previously was only available on a server. The MacBook Pro may be a leading indicator of this amount of power, but the trend is clear.
What does that mean for default architectures and tooling?
Well, for data science, it means that a program like DuckDB goes from being a bit of a curiosity, to being the default tool for handling large data processing workloads.
What is DuckDB? According to the web site, it is “an in-process SQL OLAP database management system”. That doesn’t sound like a revolution in data science (it sounds really confusing).
But consider what DuckDB rolls together:
- A column-oriented processing engine that makes the most efficient possible use of the processors in modern computers. Parallelism to ensure all CPUs are made use of, and low-level optimizations to ensure each tick of those processors pushes as much data through the pipe as possible.
- Wide ranging support for different data formats, so that integration can take place on-the-fly without requiring translation or sometimes even data download steps.
Having those things together makes it a data science power tool, and removes a lot of the prior incentive that data scientists had to move their data into “real” databases.
When they run into the limits of in-memory analysis in R or Python, they will instead serialize their data to local disk and use DuckDB to slam through the joins and filters that were blowing out their RAM before.
They will also take advantage of DuckDB’s ability to stream remote data from data lake object stores.
What, stream multi-gigabyte JSON files? Well, yes that’s possible, but it’s not where the action is.
The CPU is not the only laptop component that has been getting ridiculously powerful over the past few years. The network pipe that connects that laptop to the internet has also been getting both wider and lower latency with every passing year.
As the propect of streaming data for analysis has come into view, the formats for remote data have also evolved. Instead of JSON, which is relatively fluffy, and hard to efficiently filter, the Parquet format is becoming a new standard for data lakes.
Parquet is a binary format, that organizes the data into blocks for efficient subsetting and processing. A DuckDB query to a properly organized Parquet time series file might easily pull only records for 2 of 20 columns, and 1 day of 365, reducing a multi-gigabyte download to a handful of megabytes.
The huge rise in available local computation, and network connectivity is going to spawn some new standard architectures.
Imagine a “two tier” architecture where tier one is an HTTP object store and tier two is a Javascript single page app? The COG Explorer has already been around for a few years, and it’s just such a two tier application.
(For fun, recognize that an architecture where the data are stored in an access-optimized format, and access is via primitive file-system requests, while all the smarts are in the client-side visualization software is… the old workstation GIS model. Everything old is new again.)
The technology is fresh, but the trendline is pretty clear. See Kyle Barrron’s talk about GeoParquet and DeckGL for a taste of where we are going.
Meanwhile, I expect that a lot of the growth in PostGIS / PostgreSQL we have seen in the data science field will level out for a while, as the convenience of DuckDB takes over a lot of workloads.
The limitations of Parquet (efficient remote access limited to a handful of filter variables being the primary one, as will cojoint spatial/non-spatial filter and joins) will still leave use cases that require a “real” database, but a lot of people who used to reach for PostGIS will be reaching for Duck, and that is going to change a lot of architectures, some for the better, and some for the worse.
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sur GRASS GIS: Annual Report 2023
Publié: 19 December 2023, 9:12am CET
2023 has been an amazing year in the advancement of the GRASS GIS project, which celebrated its 40th birthday! As the year draws to a close, let’s look back at some of the achievements of the GRASS community. Community Meeting The GRASS GIS Community Meeting held at the Faculty of Civil Engineering of the Czech Technical University in Prague during the first days of June brought together users, supporters, contributors, power users and developers to celebrate, collaborate and chart the future of GRASS GIS. -
sur Jackie Ng: Minor change of plans
Publié: 18 December 2023, 12:14pm CET
There will be a slight change of plans in the MapGuide Open Source 4.0 release timeline.
Namely, the next release will not be the Release Candidate, but rather a 2nd beta release.
The main driver behind this decision is because of my intention to remove the recently introduced support for Mapbox Vector Tiles. While I initially had high hopes with this implementation, additional testing with data outside of the example Sheboygan dataset has revealed rendering issues I do not have the capability to address. Rather than ship a half-baked implementation that may never bake fully, I'd rather bow out while we still can, remove this immature implementation, and leave MVT tile generation to dedicated external tools.
A 2nd beta release will also mean that the other changes I want to get in will also have some time to bake before the Release Candidate stage.
I am hoping the 2nd beta release will be out late January in the new year.
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sur GeoServer Team: GeoServer 2.23.4 Release
Publié: 18 December 2023, 1:00am CET
GeoServer 2.23.4 release is now available with downloads (bin, war, windows), along with docs and extensions.
This is a maintenance release of GeoServer providing existing installations with minor updates and bug fixes. GeoServer 2.23.4 is made in conjunction with GeoTools 29.4, and GeoWebCache 1.23.3.
Thanks to Peter Smythe (AfriGIS) for making this release.
Release notesImprovement:
- GEOS-11152 Improve handling special characters in the Simple SVG Renderer
- GEOS-11154 Improve handling special characters in the MapML HTML Page
- GEOS-11176 Add validation to file wrapper resource paths
- GEOS-11188 Let DownloadProcess handle download requests whose pixel size is larger than integer limits
- GEOS-11189 Add an option to throw a service exception when nearest match “allowed interval” is exceeded
- GEOS-11193 Add an option to throw an exception when the time nearest match does not fall within search limits
- GEOS-11219 Upgrade mail and activation libraries
Bug:
- GEOS-9757 Return a service exception when client provided WMS dimensions are not a match
- GEOS-11074 GeoFence may not load property file at boot
- GEOS-11184 ncwms module has a compile dependency on gs-web-core test jar
- GEOS-11190 GeoFence: align log4j2 deps
- GEOS-11196 NPE in VectorDownload if ROI not defined
- GEOS-11200 GetFeatureInfo can fail on rendering transformations that generate a different raster
- GEOS-11203 WMS GetFeatureInfo bad WKT exception for label-geometry
- GEOS-11206 Throw nearest match mismatch exceptions only for WMS
- GEOS-11223 Layer not visible in preview/capabilities if security closes the workspace, but allows access to the layer
- GEOS-11224 Platform independent binary doesn’t start properly with default data directory
For the complete list see 2.23.4 release notes.
Community UpdatesCommunity module development:
- GEOS-11209 Open ID Connect Proof Key of Code Exchange (PKCE)
- GEOS-11212 ODIC accessToken verification using only JWKs URI
Community modules are shared as source code to encourage collaboration. If a topic being explored is of interest to you please contact the module developer to offer assistance.
About GeoServer 2.23 SeriesAdditional information on GeoServer 2.23 series:
- GeoServer 2.23 User Manual
- Drop Java 8
- GUI CSS Cleanup
- Add the possibility to use fixed values in Capabilities for Dimension metadata
- State of GeoServer 2.23
- GeoServer Feature Frenzy 2023
- GeoServer used in fun and interesting ways
- GeoServer Orientation
Release notes: ( 2.23.4 | 2.23.3 | 2.23.2 | 2.23.1 | 2.23.0 | 2.23-RC1 )
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sur Free and Open Source GIS Ramblings: Offline Vector Tile Package .vtpk in QGIS
Publié: 15 December 2023, 9:59pm CET
Starting from 3.26, QGIS now supports .vtpk (Vector Tile Package) files out of the box! From the changelog:
ESRI vector tile packages (VTPK files) can now be opened directly as vector tile layers via drag and drop, including support for style translation.
This is great news, particularly for users from Austria, since this makes it possible to use the open government basemap.at vector tiles directly, without any fuss:
1. Download the 2GB offline vector basemap from [https:]]
2. Add the .vtpk as a layer using the Data Source Manager or via drag-and-drop from the file explorer
3. All done and ready, including the basemap styling and labeling — which we can customize as well:Kudos to [https:]] for bringing this new feature to my attention.
PS: And interesting tidbit from the developer of this feature, Nyall Dawson:
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sur 3liz: Sortie extension Lizmap 4.0.0 pour QGIS
Publié: 15 December 2023, 5:00pm CET
Nouvelles fonctionnalités sur la validation des projetsLors de la publication d'un projet avec le serveur QGIS, il existe quelques problèmes connus lorsque le serveur doit charger le projet :
- Une couche est visible dans QGIS bureautique, mais malheureusement absente dans QGIS serveur.
- Le temps de chargement par QGIS serveur du projet est trop long.
Ces problèmes peuvent avoir différentes sources :
-
Une couche invisible dans QGIS serveur :
- Est-ce que le service PostgreSQL est bien configuré côté serveur ?
- Est-ce que le fichier utilisé pour la couche (FlatGeobuf, Geotiff…) est bien accessible par le serveur avec le même chemin ?
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Concernant le temps de chargement d'un projet, les sources sont vraiment multiples et peuvent être complexes. Certaines peuvent être simples, comme dire à QGIS d'utiliser les "métadonnées estimées" pour les couches PostgreSQL ou alors de forcer la simplification des géométries côté fournisseur de données.
Ces problèmes sont très courants, c'est pourquoi nous avons décidé d'inclure des règles dans l'extension.
Avec la dernière version de l'extension, vous pouvez commencer à avoir de nouvelles vérifications lors de l'enregistrement de votre fichier de configuration Lizmap. Vous pouvez également remarquer quelques mesures de protection, qui sont conçus pour vous aider à publier votre projet (en évitant certaines erreurs possibles du côté du serveur plus tard).
Jetons un coup d'œil rapide à ces deux nouvelles fonctionnalités.
VérificationsAvec la dernière version de l'extension Lizmap, vous pouvez remarquer un nouveau tableau lors de l'enregistrement de votre fichier de configuration.
Ce tableau présente les contrôles qui ont échoué lors de la sauvegarde de la configuration.
- Toutes les vérifications sont documentées : source de l'erreur, son nom, comment corriger l'erreur et sa gravité.
- Certaines vérifications sont bloquantes. À l'heure actuelle, seules les vérifications qui prennent au maximum une minute à corriger sont bloquantes. Aujourd'hui, la plupart des règles bloquantes ont des outils pour auto-corriger l'ensemble du projet.
Vous devriez quand même vous pencher sur les autres problèmes non bloquants, car certains d'entre eux réduisent les performances du serveur QGIS. Mais comme ce n'est pas une correction "clé en main", nous n'avons pas rendu ces règles bloquantes.
Pour savoir comment résoudre le problème, passez votre souris sur la dernière colonne du tableau, une description complète apparaîtra. Ou visitez l'onglet suivant qui récapitule l'ensemble des erreurs avec les moyens pour corriger.
Nous ajouterons également de nouvelles vérifications dans les semaines à venir.
Mesure de protectionPar défaut, lors de l'installation de l'extension Lizmap sur un ordinateur, vous serez considéré comme "Débutant". Ce mode est très strict sur ce que vous pouvez faire dans votre projet QGIS. Il a été principalement conçu pour une formation à Lizmap.
Nous pensons que les utilisateurs passeront rapidement en mode "Normal", mais vous pouvez toujours modifier des paramètres dans le dernier panneau.
Ces protections sont conçues pour vous aider. Elles permettent d'éviter que certaines couches ne puissent pas s'afficher sur Lizmap Web Client.
Par exemple, si vous savez que votre serveur ne supporte pas le raster ECW, vous pouvez laisser cette case cochée.
Notez que si vous êtes hébergé sur notre solution Lizmap Cloud, certaines protections sont configurées avec des valeurs par défaut. Par exemple, sur notre solution d'hébergement, le nombre maximum de dossiers parents autorisés lorsque vous ajoutez une couche basée sur un fichier est de deux dossiers.
Lorsque vous êtes en mode "normal", décochez avec précaution ces cases. Certaines d'entre elles nécessitent des étapes de configuration du côté du serveur.
Bonne mise à jour ?
Etienne Trimaille
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sur 3liz: Lizmap plugin 4.0.0 for QGIS Desktop
Publié: 15 December 2023, 5:00pm CET
New features about project validationWhen publishing a project with QGIS server, there are some known issues when the server needs to load the projet :
- A layer can be visible in QGIS desktop, but unfortunately not visible in QGIS server.
- The loading time of the project can be too long.
These issues can have different sources :
-
A layer invisible in QGIS server :
- Is the PostgreSQL service well configured on the server side ?
- Does the file used for the layer (FlatGeobuf, Geotiff…) is readable by QGIS server with the same path ?
-
About project loading time, the source of the problem can be very different and complex. In some situations, it can be easy, like asking QGIS to use "estimated metadata" for PostgreSQL layers or also to force geometry simplification on the data provider side.
These issues are very common, so we decided to include some rules in the plugin.
With the latest release of the plugin, you could start seeing some new checks when saving your Lizmap configuration file. You could also notice some safeguards, which are designed to help you to publish your project (prevent some possible errors on the server side).
Let's have a quick look to these two new features.
ChecksWith the latest version of the QGIS Lizmap plugin, you could notice a new table when saving your configuration file.
This table is a list of checks which have failed when saving the configuration.
- All checks are documented : source of error, how to fix the error and its severity
- Some checks are blocking. For now, only checks which take one minute maximum are blocking. Today, most of the blocking rules have a button to auto-fix the whole project.
You should still have a look to other non-blocking issues, as some of them might decrease QGIS server performance. But as it's not straightforward to fix, we didn't make these rules blocking.
To know how to fix, either put your mouse over the last column, a complete description will appear. Or visit the next tab "Help about checks", it's presenting all rules with some explanations how to fix them.
We will add new checks in the coming weeks.
SafeguardsBy default, when installing the Lizmap plugin on a computer, you will be considered as "Beginner". This mode is very strict about what you can do in your QGIS project. It was mainly designed for a Lizmap training.
We guess users will quickly switch to "Normal", but you can still tweak these settings in the last panel.
These safeguards are designed to help you. It will prevent some layers to maybe not be visible on Lizmap Web Client.
If you know your server doesn't support ECW raster, you can keep this checkbox ticked.
Note, if you are hosted on our Lizmap Cloud infrastructure, some safeguards are configured with some default values. For instance, on our hosting solution, the maximum of parent folder allowed when you add a file based layer is two folders.
When you are in "normal" mode, please uncheck these checkbox carefully. Some of them requires some configuration steps on the server side.
We hope you will enjoy this new version ?
Etienne Trimaille
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sur Paul Ramsey: How to Become a CEO
Publié: 14 December 2023, 5:00pm CET
As a young man, I had a lot of ambition to climb the greasy pole, to get to the “top” of this heap we call a “career”, and as time went on I started doing little explorations of the career histories of people who made it to that apex corporate title, the “CEO”.
It is worth doing this because, by and large, our society is run by people who either have been CEOs or who have come very close. Pull lists of boards of both private and public institutions and you will see a lot of people who have ascended to the top of large institutions before moving into governance. These are the people who determine the direction of our society, by and large.
And how have they gotten there? Through a surprisingly small number of routes, that are all highly path dependent.
If you spend some time exploring the employment histories of corporate leaders, you’ll find really just a couple archetypes.
The Long-term Corporate ClimberBy far the most common pattern is for a future CEO to find an entry- or mid-level position in a large organization, and then work at that one organization for 15 to 25 years, ascending the ranks.
Once they get to just below the CEO, they either leap to a CEO position at another firm, or finally ascend to the CEO position of their originating organization.
- Darren Woods, CEO of ExxonMobile, spent 25 years working his way to the top of Exxon.
- Ginny Rometty, former CEO of IBM, spent 25 years working her way to the top of IBM.
- Jim Farley, CEO of Ford, actually did his important climbing (from entry level to upper management) over 17 years at Lexus, then spent another 13 years at Ford completing the climb to CEO through a sequence of high level regional jobs.
- David Hutchens the CEO of our local gas utility, spent 26 years climbing the rungs of Tuscon Electric.
I was spurred to write about this topic today when I learned that EDB has a new CEO (what?!), Kevin Dallas, who (wait for it), spent 24 years climbing the greasy pole at Microsoft, before being tapped for his first CEO gig in 2020.
Speaking of Microsoft, even corporate leadership savant Satya Nadella started as an entry level engineer in Microsoft, taking the CEO slot in 2014 after 22 years of slogging upwards.
In the main, the way to become a CEO (of a large organization) is to get yourself a job in a large organization early in your career, so you can accumulate the experience and contacts necessary to be considered a viable candidate later in your career.
The path dependence is kind of obvious. If you spend your early career on something else, by the time you get into a large organization you will be starting too far down the heirarchy to reach the top before your career tapers off.
To many, the surprising thing about these career profiles is how rarely there are mid-career jumps between corporations. Probably this is because people under-estimate the power of social networks.
Your reputation for “getting things done”, the density of people who find you charming, the employees and hangers on who benefit from your rise in the organization, they are all highest in one place: the place you already work. Moving laterally in mid-career to a new organization instantly resets your accumulated social capital to zero.
The Founder or Early HireOne exception to the rule is the founder of a company that grows to a scale sufficient to be considered comparable to existing institutions.
This is, as you can imagine, quite rare.
In the “wow that’s insane” founder category: Bill Gates, Steve Jobs, Mark Zuckerberg, Sara Blakely.
Or the “locally known but still huge” founder category: Ryan Holmes (Hootsuite), Chip Wilson (Lululemon), Stewart Butterfield (Slack, Flickr), James Pattison (Pattison Group), Dennis Washington (Seaspan).
In the tech space, there’s also a lot of early hires, who necessarily progressed quite quickly through the “ranks” as the company they had lucked into exploded in size.
- Erik Schmidt, who rode Sun Microsystems rocket to senior management before finding CEO roles at Novell and Google.
- Steve Balmer, who… do I need to even say?
- Sundar Pichai, who joined Google in 2004 and held on to become CEO as the founders burned out.
This is an interesting third category, which is difficult to join, but is very much real – knowing people who will elevate you early on.
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Like, former Treasury Secretary Tim Geithner had on the one hand, a kind of conventional “grind it out” career working his way up the ranks of the senior federal civil service. But on the other hand, the roles he was in, right from the start were quite high level. How did he manage that? He was recommended to his first job out of college at Kissinger Associates, by the Dean of his faculty at Johns Hopkins. From there he met lots of powerful people who would vouch for his brilliance, and away he went. Now, it surely helped that he was brilliant! But, the connections were necessary too.
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I checked out the career history of Jamie Dimon, CEO of JP Morgan, expecting to find a long slog at a major financial institution, but it turns out Dimon got an early boost into leadership, through his connection to Sandy Weill, who recruited him to American Express. And how did Weill know Dimon? Dimon’s mother knew Weill and got Dimon hired for a summer job with him. Again, it surely helped that Dimon was sharp as a tack! But, without his mom…
In lots of cases, this category is fully subsumed in the first. Anyone who grinds up a corporate heirarchy will find boosters and mentors who will in turn help them get ahead. Often a senior leader gets a lot of help from a talented junior and they ascend the heirarchy in parallel. Being the “assistant to the President” might make you officially lower on the totem pole than the CFO, but unofficially and in terms of career advancement… that can be another story altogether.
Advice?Despite my long-time desire to climb the greasy pole, I have never worked for an instution large enough to have any serious opportunities to climb, and have finally achieved a zen calm about career. By and large my career has been something that happened to me, not something I planned, and that colors my perceptions a lot.
First jobs lead to first connections, and first connections determine what paths open up as you move on to second and third jobs. Path dependence in career progression is huge. Probably the most important moment is early career, getting into an institution or industry that is poised for growth and change.
It’s possible to rise in an older, established institutions, but my impression is that it’s more of a knife fight. I don’t think the alternate universe Steve Balmer who started in sales at IBM would have risen to be a CEO.
Far and away the most important thing you can amass, at any career stage, is connections. Take every opportunity to meet new people, and find people and topics that stimulate your curiosity. If what you are doing is boring or unpleasant, it’s never going to matter what your title is, or how high up the pole you are.
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sur Free and Open Source GIS Ramblings: Hi ‘Geocomputation with Python’
Publié: 13 December 2023, 10:45pm CET
Today, I want to point out a blog post over at
In this post, Jakub Nowosad introduces our book “Geocomputation with Python”, also known as geocompy. It is an open-source book on geographic data analysis with Python, written by Michael Dorman, Jakub Nowosad, Robin Lovelace, and me with contributions from others. You can find it online at [https:]]
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sur Paul Ramsey: Keynote @ FOSS4G NA 2023
Publié: 12 December 2023, 5:00pm CET
Preparing the keynote for FOSS4G North America this year felt particularly difficult. I certainly sweated over it.
- Audience was a problem. I wanted to talk about my usual thing, business models and economics, but the audience was going to be a mash of people new to the topic and people who has seen my spiel multiple times.
- Length was a problem. Out of an excess of faith in my abilities, the organizers gave me a full hour long slot! That is a very long time to keep people’s attention and try to provide something interesting.
The way it all ended up was:
- Cadging some older content from keynotes about business models, to bring new folks up to speed.
- Mixing in some only slightly older content about cloud models.
- Adding in some new thoughts about the way everyone can work together to make open source more sustainable (or at least less extractive) over the long term.
Here’s this year’s iteration.
The production of this kind of content is involved. The goal is to remain interesting over a relatively long period of time.
I have become increasingly opinionated about how to do that.
- No freestyling. Blathering over bullet points is unfair to your audience. The aggregate time of an audience of 400 is very large. 5 minutes of your “um” and “ah” translates into 33 hours of dead audience time.
- Get right to it. No mini-resume, no talking about your employer (unless you are really sneaky about it, like me ?), this is about delivering ideas and facts that are relevant to the audience. Your introducer can handle your bona fides.
- Have good content. The hardest part! (?) Do you have something thematic you can bookend the start and end with? Are there some interesting facts that much of the audience does not know yet? Are there some unappreciated implications? This is, presumably, why you were asked to keynote, so hopefully not too, too hard. This is the part that I worry over the most, because I really have no faith that what I have to say is actually going be interesting to an audience, no matter how much I gussy it up.
- Work from a text. The way to avoid blather is to know exactly what you are going to say. At 140 words-per-minute speaking pace, a 55 minute talk is 7700 words, which coincidentally (not) is exactly how long my keynote text is.
- Write a speech, not an article. You will have to say all those words! Avoid complicated sentence constructions. Keep sentences short. Take advantage of parallel constructions to make a point, drive a narrative, force a conclusion. (see?) Repeat yourself. Repeat yourself.
- Perform, don’t read. Practice reading out loud. Get used to leaving longer gaps and get comfortable with silence. Practice modulating your voice. Louder, softer. Faster, slower. Drop. The. Hammer. Sometimes. Watch a gifted speaker like Barack Obama deliver a text. He isn’t ad libbing, he’s performing a prepared text. See what he does to make that sound spontaneous and interesting.
- Visuals as complements, not copies. Your slides should complement and amplify your content, not recapitulate it. In the limit, you could do all-text slides, which just give the three-word summary of your current main point. (This classic Lessig talk is my favourite example.)
- Visuals as extra channel. Keep changing up the visual. Use the slide notes space to get a feel for how long each slide should be up. (Hint, about 50 words on average.) Keeping slide duration low also helps in terms of using the per-slide speaker notes as low-end teleprompter (increase notes font size! reduce slide preview size!) from which you deliver your performance.
I originally started scripting talks because it allowed me to smooth out the quality of my talks. With a script, it wasn’t a crapshoot whether I had a good ad lib delivery or a bad one, I had a nice consistent level. From there, leveraging up to take advantage of the format to increase the talk quality was a natural step. Speakers like Lessig and Damian Conway remain my guide posts.
If you liked the keynote video and want to use the materials, the slides are available here under CC BY.
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sur gvSIG Team: gvSIG Batoví 2023, éxitos de llevar la geomática a la educación secundaria
Publié: 12 December 2023, 9:35am CET
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sur gvSIG Batoví: Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica: cierre
Publié: 11 December 2023, 5:53pm CET
Con enorme alegría anunciamos el cierre de una edición más (la sexta) del Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica.
¿De qué se trata todo esto? Es la culminación de una iniciativa que nace en 2010 para desarrollar gvSIG Batoví.
¿Y qué es gvSIG Batoví? Es un SIG (Sistema de Información Geográfica) aplicado a entornos educativos, con destino al Ceibal (proyecto para Uruguay de la iniciativa OLPC/OneLaptopPerChild), y en base al software libre de origen español gvSIG
estudiantes utilizando gvSIG Batoví en las aulas
¿Por qué hacer ésto? Se trata de una iniciativa de la Dirección Nacional de Topografía (Ministerio de Transporte y Obras Públicas/MTOP-Uruguay) como aporte a la enseñanza desde un área de su conocimiento. La Dir. Nac. de Topografía promueve y es parte de la IDEuy (Infraestructura de Datos Espaciales de Uruguay), a la vez que desarrolla y es responsable del Geoportal del MTOP.
¿Cómo nace? Se firma un convenio entre el MTOP, Ceibal y la Asociación gvSIG (año 2011) para adaptar gvSIG a los dispositivos de Ceibal, obteniendo una primera versión en agosto de 2012.
A partir de ahí se plantea una amplia Estrategia de Sostenibilidad:
- difusión internacional: presentaciones en numerosos congresos, artículos en publicaciones extranjeras, participación en proyectos académicos mundiales, exposición en hall de sede de las Naciones Unidas (Nueva York), invitación a ser parte de GeoForAll (Comité de divulgación educativa de la Open Source Geospatial Foundation/OSGeo)
exposición de posters en las Naciones Unidas (Nueva York) en ocasión del International Map Year
- talleres nacionales a maestros, profesores, estudiantes de profesorado, estudiantes liceales
- talleres internacionales: España. Perú, Costa Rica
El punto culminante de esta estrategia de sostenibilidad es precisamente el Curso – Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica:
- se trata de una iniciativa de cobertura nacional, para grupos de estudiantes -con profesores referentes- de liceos públicos de todo el país
- debido a su impacto fuera de fronteras, se incluye a partir de 2022 la participación de extranjeros
- es organizado por ANEP-DGES (Administración Nacional de Educación Pública-Dirección Nacional de Educación Secundaria), Ceibal y Dir. Nac. de Topografía; en 2023 participa también la Universidad Politécnica de Madrid, colaborando la Gobernación de Cundinamarca (Colombia)
- la primera edición se lleva a cabo en 2017
- este año se desarrolló la sexta edición, siendo la primera vez que participan equipos de otros países de la región (en particular Colombia)
- etapas de la iniciativa:
- lanzamiento: convocatoria a docentes de enseñanza media para participar de una instancia de capacitación y luego en una competición entre proyectos desarrollados por equipos de estudiantes de enseñanza media liderados por un docente
- reclutamiento de tutores para el seguimiento de cada proyecto (hasta 2019 éstos eran estudiantes de las carreras de Cartografía y Agrimensura -UdelaR; a partir de 2021 participan como tutores integrantes de diferentes universidades iberoamericanas del proyecto GeoLIBERO)
- capacitación para docentes y tutores en modalidad b-learning (plataforma + talleres presenciales en todo el país; a partir de 2021, motivados por los cambios impuestos por la pandemia del Covid-19, los talleres son virtuales; a partir de 2022 la capacitación se ofrece también para participantes extranjeros)
- a quienes culminan satisfactoriamente la capacitación se los invita a presentar propuestas de proyectos para participar del concurso
- el Equipo Coordinador sugiere ajustes a dichas propuestas y su traducción a un proyecto
- durante 3 meses aproximadamente, los equipos desarrollan sus proyectos, con espacios virtuales particulares para cada uno en plataforma (para intercambios con tutores y Equipo Coordinador, entrega de materiales solicitados, foros para dudas, preguntas, consultas, comentarios)
- a mitad de tiempo los equipos realizan entregas parciales, presentando avance de cada proyecto y recibiendo la devolución del equipo coordinador y tutores
- al culminar, los equipos defienden sus proyectos ante el jurado, mediante videoconferencia
- luego de las defensas, se procede a emitir el fallo por parte del jurado (a partir de 2021 conformado por referentes expertos internacionales)
- como broche de todo el proceso se realiza un evento de cierre, organizado por Ceibal, en el cual todos los participantes comparten sus proyectos con el resto; se entregan los premios y certificados y se realiza una evaluación general de lo realizado
- reconocimiento internacional: los equipos finalistas reciben un diploma de GeoLIBERO
- videos:
? [https:]]
? [https:]]
? [https:]]
? proyecto premiado en edición 2021: [https:]] - entrevistas:
? [https:]]
? [https:]]
En la edición 2023 resultaron finalistas los siguientes proyectos:
- por Uruguay
- Título: Geo 7°F; Institución: Escuela Técnica N°2 CME; Localidad: Salto; Docente de referencia: Daiana Olivera; Tutor: Romel Vázquez
- Título: Mentes en crecimiento; Institución: Liceo Nº2 Dr. Antonio M. Grompone; Localidad: Salto; Docente de referencia: María Patricia Leal; Tutor: Carlos Lara
- Título: Urbapay; Institución: Liceo Nª4 Manuel Oribe; Localidad: Paysandú; Docente de referencia: Maximiliano Olivera; Tutor: Marino Carhuapoma
- por Colombia
- Título: Turismo, Desarrollo y Medio Ambiente en Choachí; Institución: IED Ignacio Pescador; Localidad: Choachí; Docente de referencia: Astrid Corredor; Tutor: Neftalí Sillero
- Título: Conectando con el Agua: Georreferenciando El «Páramo de Guerrero» en Subachoque y su Importancia Hídrica; Institución: IED La Pradera; Localidad:Subachoque; Docente de referencia: Sandra Milena Diaz Vargas; Tutor: Antoni Pérez Navarro
- Título: Mapeando nuestro territorio: Tabio; Institución: IEDInstituto Tecnico Comercial Jose de San Martin; Localidad: Tabio; Docente de referencia: John Castrillón; Tutor: Nadia Chaer
evento de cierre Concurso Proyectos con Estudiantes y gvSIG Batoví 2023
Los proyectos ganadores resultaron los siguientes:
- por Uruguay: proyecto Urbapay
- por Colombia: proyecto Turismo, Desarrollo y Medio Ambiente en Choachí
Actuaron como tutores:
- Neftalí Sillero, Faculdade de Ciências da Universidade do Porto (Portugal)
- Carlos Lara, Facultad de Ciencias de la Universidad Católica de la Santísima Concepción (Chile)
- Marino Carhuapoma, IdeasG (Perú)
- Romel Vázquez, Universidad Central «Marta Abreu» de Las Villas (Cuba)
- Ramon Alejandro Claro Torres, Universidad Central «Marta Abreu» de Las Villas (Cuba)
- A/P Nadia Chaer, Comunidad gvSIG Uruguay (Uruguay)
- Antoni Pérez Navarro, profesor de los Estudios de Informática, Multimedia y Telecomunicación, Universitat Oberta de Catalunya (España)
Los integrantes del jurado fueron:
- Álvaro Anguix – Director de la Asociación gvSIG (España)
- Dr. Luis Manuel Vilches Blázquez – Universidad Politécnica de Madrid (España)
- Efraín Castro – Secretaría de Educación/Gobernación de Cundinamarca (Colombia)
- Prof. Julio A. Rodríguez Vaucher – ANEP/DGETP
- Dr. Gustavo Bentancor– Ceibal
- Insp. Mónica Canaveris – ANEP/DGES
- Sergio Acosta y Lara – DNTop/MTOP
Queremos destacar la calidad de la totalidad de los proyectos presentados, todas excelentes y variadas propuestas, que no hacen más que demostrarnos lo acertada de la iniciativa (el jurado la tuvo muy difícil…). Los trabajos realizados realmente no tienen nada que envidiar a muchos trabajos académicos o los realizados por consultorías. Cada año (y este no ha sido la excepción) muchos proyectos logran impactos tangibles en las comunidades: cambio de recorridos y de frecuencias del transporte colectivo como resultado del análisis y diagnóstico hecho por los estudiantes, pedidos de alcaldes a los estudiantes para asistirlos en la confección de mapas para la Administración, ayuda en la toma de decisiones para una mejor gestión de los residuos de una comunidad, etc., etc. Como se resaltó en el evento de cierre del pasado jueves 7 de diciembre: la iniciativa no sólo contribuye a una mejor capacitación académica de los estudiantes; también ayuda a formar mejores ciudadanos.
socialización de proyectos
equipo ganador Uruguay
equipo ganador Colombia
Desde el Equipo Coordinador queremos volver a agradecer a todas y todos los que nos han apoyado y colaborado con esta iniciativa: a Natalia Pardo, Stephanie Veleda y Daniel Varsi del MTOP (una vez más, un enorme gracias por toda su dedicación, apoyo y por estar siempre en todas); a las y los tutores: un enorme placer haber contado con ustedes; a los integrantes del jurado: nos sentimos muy honrados por su participación; a Martina Bailón, Agostina Bernasconi, Patricia Castell, Carinna Balsamo y Paola Vilar del Plan Ceibal (gracias por su invalorable asistencia); a Álvaro Anguix (coordinador de la red GeoLIBERO), Mario Carrera y toda la Asociación gvSIG (gracias a su incansable apoyo es que este proyecto es posible); a Luis Vilches por su gran apoyo y coordinación internacional, y a todas las autoridades de las instituciones involucradas (nacionales y extranjeras) que han decidido continuar apoyando esta iniciativa, la que continúa creciendo.
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sur From GIS to Remote Sensing: Semi-Automatic Classification Plugin major update: version 8.2.0
Publié: 10 December 2023, 3:12pm CET
The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.2.0 which is focused on the download of new products.This function requires Remotior Sensus to be updated at least to version 0.2.01, which also includes several new products from the Microsoft Planetary Computer. Microsoft Planetary Computer is a platform developed by Microsoft to foster environmental sustainability and Earth science through a Data Catalog, a JupyterHub and several other tools.In this case, Remotior Sensus connects to the Data Catalog to search and download images available from Microsoft Planetary Computer, such as the Landsat archive, MODIS, and Sentinel-2.
Read more » -
sur Free and Open Source GIS Ramblings: Mapping relationships between Neo4j spatial nodes with GeoPandas
Publié: 9 December 2023, 10:33pm CET
Previously, we mapped neo4j spatial nodes. This time, we want to take it one step further and map relationships.
A prime example, are the relationships between GTFS StopTime and Trip nodes. For example, this is the Cypher query to get all StopTime nodes of Trip 17:
MATCH (t:Trip {id: "17"}) <-[:BELONGS_TO]- (st:StopTime) RETURN st
To get the stop locations, we also need to get the stop nodes:
MATCH (t:Trip {id: "17"}) <-[:BELONGS_TO]- (st:StopTime) -[:STOPS_AT]-> (s:Stop) RETURN st ,s
Adapting our code from the previous post, we can plot the stops:
from shapely.geometry import Point QUERY = """MATCH ( t:Trip {id: "17"}) <-[:BELONGS_TO]- (st:StopTime) -[:STOPS_AT]-> (s:Stop) RETURN st ,s ORDER BY st.stopSequence """ with driver.session(database="neo4j") as session: tx = session.begin_transaction() results = tx.run(QUERY) df = results.to_df(expand=True) gdf = gpd.GeoDataFrame( df[['s().prop.name']], crs=4326, geometry=df["s().prop.location"].apply(Point) ) tx.close() m = gdf.explore() m
Ordering by stop sequence is actually completely optional. Technically, we could use the sorted GeoDataFrame, and aggregate all the points into a linestring to plot the route. But I want to try something different: we’ll use the NEXT_STOP relationships to get a DataFrame of the start and end stops for each segment:
QUERY = """ MATCH (t:Trip {id: "17"}) <-[:BELONGS_TO]- (st1:StopTime) -[:NEXT_STOP]-> (st2:StopTime) MATCH (st1)-[:STOPS_AT]->(s1:Stop) MATCH (st2)-[:STOPS_AT]->(s2:Stop) RETURN st1, st2, s1, s2 """ from shapely.geometry import Point, LineString def make_line(row): s1 = Point(row["s1().prop.location"]) s2 = Point(row["s2().prop.location"]) return LineString([s1,s2]) with driver.session(database="neo4j") as session: tx = session.begin_transaction() results = tx.run(QUERY) df = results.to_df(expand=True) gdf = gpd.GeoDataFrame( df[['s1().prop.name']], crs=4326, geometry=df.apply(make_line, axis=1) ) tx.close() gdf.explore(m=m)
Finally, we can also use Cypher to calculate the travel time between two stops:
MATCH (t:Trip {id: "17"}) <-[:BELONGS_TO]- (st1:StopTime) -[:NEXT_STOP]-> (st2:StopTime) MATCH (st1)-[:STOPS_AT]->(s1:Stop) MATCH (st2)-[:STOPS_AT]->(s2:Stop) RETURN st1.departureTime AS time1, st2.arrivalTime AS time2, s1.location AS geom1, s2.location AS geom2, duration.inSeconds( time(st1.departureTime), time(st2.arrivalTime) ).seconds AS traveltime
As always, here’s the notebook: [https:]]
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sur From GIS to Remote Sensing: Semi-Automatic Classification Plugin update: version 8.1.7
Publié: 8 December 2023, 5:42pm CET
The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.1.7 which solves a few bugs and adds the options to download Sentinel-2 images from the Copernicus Data Space Ecosystem.
Read more » -
sur GeoSolutions: DoDIIS 2023 Portland, OR – GeoSolutions USA, Innovation, and Emerging Technology
Publié: 7 December 2023, 7:18pm CET
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sur BostonGIS: PostGIS Day 2023 Summary
Publié: 7 December 2023, 3:58am CET
PostGIS Day 2023 videos came out recently. PostGIS Day conference is always my favorite conference of the year because you get to see what people are doing all over the world, and it always has many many new tricks for using PostgreSQL and PostGIS family of extensions you had never thought of. Most importantly it's virtual, which makes it much easier for people to fit in their schedules than an on site conference. We really need more virtual conferences in the PostgreSQL community. Many many thanks to Crunchy Data for putting this together again, in particular to Elizabeth Christensen who did the hard behind the scenes work of corraling all the presenters and stepping in to give a talk herself, and my PostGIS partner in development Paul Ramsey who did the MC'ing probably with very little sleep, but still managed to be very energetic. Check out Elizabeth's summary of the event. Many of her highlights would have been mine too, so I'm going to skip those.
Continue reading "PostGIS Day 2023 Summary" -
sur GeoTools Team: State of GeoTools 30.1
Publié: 6 December 2023, 7:50pm CET
Jody Garnett here to share a presentation from FOSS4G Asia 2023 on the State of GeoTools 30.1. It has been nine years since our last "State of GeoTools" presentation in FOSS4G 2014 Portland; however this was just a lighting talk and is devoted to recent updates. I would like to the event organizers, and my employer GeoCat for the opportunity to speak on behalf of the GeoTools project. -
sur Camptocamp: Innovations and Standards in Geospatial
Publié: 5 December 2023, 1:00am CET
Pièce jointe: [télécharger]
At Camptocamp, we are deeply committed to the heart of the open source communities, not just to spur innovation but also to integrate the needs of our clients and partners. -
sur Jorge Sanz: MSF Mapathon at Universitat de València
Publié: 4 December 2023, 12:36pm CET
Last week for the first time since the pandemic I attended a Mapathon in person. With the geomaticblog.net retired, this is my first geospatial post on my own website ?. What’s a mapathon? For those that don’t know the term, a mapathon is a gathering of volunteers to do some remote mapping with the objective of improve the cartography of an area of the world that does not have a proper map. -
sur Jorge Sanz: MSF Mapathon at Universitat de València
Publié: 4 December 2023, 12:36pm CET
Last week for the first time since the pandemic I attended a Mapathon in person. With the geomaticblog.net retired, this is my first geospatial post on my own website ?. What’s a mapathon? For those that don’t know the term, a mapathon is a gathering of volunteers to do some remote mapping with the objective of improve the cartography of an area of the world that does not have a proper map.
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sur Jackie Ng: Announcing: mapguide-rest 1.0 RC6
Publié: 4 December 2023, 11:30am CET
6 years later, I have finally put out another release of mapguide-rest!
The reason for finally putting out a new release (besides being long overdue!), is that I needed a solid verification of the vanilla SWIG API binding work for MapGuide Open Source 4.0 and mapguide-rest was just the ideal project that touches almost every nook and cranny of the MapGuide API. So if mapguide-rest still works with the PHP binding in MapGuide Open Source 4.0, that is as good of an endorsement to the reliability and readiness of these bindings.
For this release of mapguide-rest, it is compatible with the version of PHP that comes with:
- MapGuide Open Source 3.1.2 (PHP 5.6)
- MapGuide Open Source 4.0 Beta 1 (PHP 8.1)
Download
Special thanks to Gordon Luckett and Scott Hamiester for assistance in internal testing of many internal builds of mapguide-rest that finally culminated in this long-overdue release.
Now that this is out of the way, it is back to MapGuide development proper and getting closer to the 4.0 release. -
sur MapTiler: GeoCamp ES 2023
Publié: 4 December 2023, 1:00am CET
GeoCamp ES is a non-profit, free-to-attend, and self-financed national conference of the international collective Geoinquietos. To talk and learn about earth sciences, open geodata services, free software, and GIS applications, especially around the OSGeo community. -
sur MapTiler: GeoCamp ES 2023
Publié: 4 December 2023, 1:00am CET
GeoCamp ES is a non-profit, free-to-attend, and self-financed national conference of the international collective Geoinquietos. To talk and learn about earth sciences, open geodata services, free software, and GIS applications, especially around the OSGeo community. -
sur From GIS to Remote Sensing: Tutorial: Using Remotior Sensus in Copernicus JupyterLab
Publié: 3 December 2023, 3:50pm CET
This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.
In particular, this tutorial describes the use of Remotior Sensus in Copernicus JupyterLab, which is a Jupyter Notebook service in a web-based environment, offering several tools for working with the Copernicus Data Space.This service can be accessed at this link [https:]] after a free registration to the Copernicus Data Space Ecosystem (CDSE).
The Jupyter Notebooks are available in 3 flavors: Small (2 CPU cores and 4GB RAM), Medium (2 CPU cores and 8GB RAM) and Large (4 CPU cores and 16GB RAM). As stated in the documentation, to ensure the fair use of resources by the CDSE users, it is recommended to start with the Small flavor and switch to a bigger only in case of issues with kernel crashing due to the lack of available memory.
Therefore, the Copernicus JupyterLab offers a great opportunity to use Copernicus data in a cloud environment. In this tutorial, we are going to see how to:- Download and preprocess Sentinel-2 images.
- Create a BandSet and prepare a training input
- Run a Random Forest classification
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sur Free and Open Source GIS Ramblings: Mapping Neo4j spatial nodes with GeoPandas
Publié: 3 December 2023, 2:31pm CET
In the recent post Setting up a graph db using GTFS data & Neo4J, we noted that — unfortunately — Neomap is not an option to visualize spatial nodes anymore.
GeoPandas to the rescue!
But first we need the neo4j Python driver:
pip install neo4j
Then we can connect to our database. The default user name is
neo4j
and you get to pick the password when creating the database:from neo4j import GraphDatabase URI = "neo4j://localhost" AUTH = ("neo4j", "password") with GraphDatabase.driver(URI, auth=AUTH) as driver: driver.verify_connectivity()
Once we have confirmed that the connection works as expected, we can run a query:
QUERY = "MATCH (p:Stop) RETURN p.name AS name, p.location AS geom" records, summary, keys = driver.execute_query( QUERY, database_="neo4j", ) for rec in records: print(rec)
Nice. There we have our GTFS stops, their names and their locations. But how to put them on a map?
Conveniently, there is a to_db() function in the Neo4j driver:
import geopandas as gpd import numpy as np with driver.session(database="neo4j") as session: tx = session.begin_transaction() results = tx.run(QUERY) df = results.to_df(expand=True) df = df[df["geom[].0"]>0] gdf = gpd.GeoDataFrame( df['name'], crs=4326, geometry=gpd.points_from_xy(df['geom[].0'], df['geom[].1'])) print(gdf) tx.close()
Since some of the nodes lack geometries, I added a quick and dirty hack to get rid of these nodes because — otherwise —
gdf.explore()
will complain about None geometries.You can find this notebook at: [https:]]
Next step will have to be the relationships. Stay posted.
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sur Sean Gillies: 2024 Bear 100 registration
Publié: 3 December 2023, 12:19am CET
In my previous post I said that I was going to register for the 2024 Bear 100 and I did. I was logged into UltraSignup promptly at 8 am on Friday and am glad, because this race apparently filled up within the day. 2024, let's fucking go!
Brunch at Upper Richards Hollow, 2023-09-29
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sur From GIS to Remote Sensing: Tutorial: Random Forest Classification Using Remotior Sensus
Publié: 2 December 2023, 3:54pm CET
This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.In the last few months Remotior Sensus was frequently update to fix and integrate new functions, in particular for the integration with the Semi-Automatic Classification Plugin for QGIS.
In this tutorial we are going to use Remotior Sensus to perform the Random Forest classification of a Copernicus Sentinel-2 image, which involves the following main steps:- Create a BandSet using an image
- Load a training input
- Perform the random forest classification
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sur QGIS Blog: Plugin Update Sept-Nov 2023
Publié: 2 December 2023, 11:44am CET
This autumn, from September to November, 84 new plugins have been published in the QGIS plugin repository.
Here’s the quick overview in reverse chronological order. If any of the names or short descriptions piques your interest, you can find the direct link to the plugin page in the table below:
SOSIexpressions Expressions related to SOSI-data Puentes Run external Python files inside QGIS. UA CRS Magic ?????? ??????? ???????? ??? ?????????? ???? FilterMate FilterMate is a Qgis plugin, a daily companion that allows you to easily explore, filter and export vector data QWC2_Tools QGIS plug-in designed to publish and manage the publication of projects in a QWC2 instance. The plugin allows you to publish projects, delete projects and view the list of published projects. QGIS Fast Grid Inspection (FGI) This plugin aims to allow the generation and classification of samples from predefined regions. QDuckDB This plugin adds a new data prodivder that can read DuckDB databases and display their tables as a layer in QGIS. CIGeoE Toggle Label Visibility Toggle label visibility CIGeoE Merge Areas Centro de Informação Geoespacial do Exército Drainage the hydro DEM analysis with the TauDEM Postcode Finder The plugin prompts the user to select the LLPG data layer from the Layers Panel and enter a postcode. The plugin will search for the postcode, if found, the canvas will zoom to all the LLPG points in the postcode. Multi Union This plugin runs the UNION MULTIPLE tool, allowing you to use up to 6 polygon vector layers simultaneously. FLO-2D MapCrafter This plugin creates maps from FLO-2D output files. Download raster GEE download_raster_gee GisCarta Manage your GisCarta data TENGUNGUN To list up and download point cloud data such as “VIRTUAL SHIZUOKA” LADM COL UV Plugin de Qgis para la evaluación de calidad en el proceso de captura y mantenimiento de datos conformes con el modelo LADM-COL ohsomeTools ohsome API, spatial and temporal OSM requests for QGIS Social Burden Calculator This plugin calculates social burden Show Random Changelog Entry on Launch Shows a random entry in the QGIS version’s visual changelog upon QGIS launch Fotowoltaika LP Wyznaczanie lokalizacji pod farmy fotowoltaiczne LP KICa – KAN Imagery Catalog KICa, is QGIS plugin Kan Imagery Catalog, developed by Kan Territory & IT to consult availability of images in an area in an agnostic way, having as main objective to solve the need and not to focus on suppliers. In the beginning, satellite imagery providers (free and commercial) are incorporated, but it is planned to incorporate drone imagery among others. Risk Assessment Risk assessment calculation for forecast based financing ViewDrone A QGIS plugin for viewshed analysis in drone mission planning qgis2opengis Make Lite version of OpenGIS – open source webgis Quick Shape Update Automatic update of the shapes length and/or area in the selected layer CoolParksTool This plugin evaluates the cooling effect of a park and its impact on buildings energy and thermal comfort Nahlížení do KN Unofficial integration for Nahlížení do Katastru nemovitostí. PyGeoRS PyGeoRS is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment. D4C Plugin This plugin allows the manbipulation from QGis of Data4Citizen datasets (Open Data platform based on Drupal and CKan) Avenza Maps’s KML/KMZ File Importer This plugin import features from KML e KMZ files from Avenza Maps Histogram Matching Image histogram matching process PV Prospector Displays the PV installation potential for residential properties. The pv_area layer is derived from 1m LIDAR DSM, OSMM building outlines and LLPG data. Save Attributes (Processing) This plugin adds an algorithm to save attributes of selected layer as a CSV file Artificial Intelligence Forecasting Remote Sensing This plugin allows time series forecasting using deep learning models. Salvar Pontos TXT Esse plugin salvar camada de pontos em arquivo TXT QGIS to Illustrator with PlugX The plugin to convert QGIS maps to import from Illustrator. With PlugiX-QGIS, you can transfer maps designed in QGIS to Illustrator! QCrocoFlow A QGIS plugin to manage CROCO projectsqcrocoflow Soft Queries This plugin brings tools that allow processing of data using fuzzy set theory and possibility theory. TerrainZones This Plugin Identifies & Creates Sub-Irrigation Zones Consolidate Networks Consolidate Networks is a a Qgis plugin bringing together a set of tools to consolidate your network data. AWD Automatic waterfalls detector SAGis XPlanung Plugin zur XPlanung-konformen Erfassung und Verwaltung von Bauleitplänen Monitask a SAM (facebook segment anything model and its decendants) based geographic information extraction tool just by interactive click on remote sensing image, as well as an efficient geospatial labeling tool. PLATEAU QGIS Plugin Import the PLATEAU 3D City Models (CityGML) used in Japan — PLATEAU 3D??????CityGML?????QGIS??????? FLO-2D Rasterizor A plugin to rasterize general FLO-2D output files. Geoportal Lokalizator PL: Wtyczka otwiera rz?dowy geoportal w tej samej lokacji w której u?ytkownik ma otwarty canvas QGIS-a. EN: The plugin opens the government geoportal in the same location where the user has the QGIS canvas open (Poland only). BorderFocus clicks on the edge center them on the canvas LANDFILL SITE SELECTION LANDFILL SITE SELECTION Bearing & Distance This plugin contains tools for the calculation of bearing and distances for both single and multiple parcels. Moisture and Water Index 2.0 Este complemento calcula el índice NDWI con las imágenes del Landsat 8. K-L8Slice Este nombre combina el algoritmo k-means que se utiliza para el agrupamiento (K) con “Landsat 8”, que es el tipo específico de imágenes satelitales utilizadas, y “Slicer”, que hace referencia al proceso de segmentación o corte de la imagen en diferentes clusters o grupos de uso del suelo. EcoVisioL8 Este complemento fue diseñado para automatizar y optimizar la obtención de índices SAVI, NDVI y SIPI, así como la realización de correcciones atmosféricas en imágenes Landsat 8. QGIS Animation Workbench A plugin to let you build animations in QGIS Catastro con Historia Herramienta para visualizar el WMS de Catastro en pantalla partida con historia. RechercheCommune Déplace la vue sur l’emprise de la commune choisie. Sentinel2 SoloBand Sentinel2 SoloBand is a plugin for easily searching for individual bands in Sentinel-2 imagery. CIGeoE Right Angled Symbol Rotation Right Angled Symbol Rotation CIGeoE Node Tool Tool to perform operations over nodes of a selected feature, not provided by similar tools and plugins. Spatial Distribution Pattern This plugin estimates the Spatial Distribution Pattern of point and linear features. Webmap Utilities This plugin provides tools for clustered and hierarchical visualization of vector layers, creation of Relief Shading and management of scales using zoom levels. Simstock QGIS Allows urban building energy models to be created and simulated within QGIS Fast Point Inspection Fast Point Inspection is a QGIS plugin that streamlines the process of classifying point geometries in a layer. Layer Grid View The Layer Grid Plugin provides an intuitive dockable widget that presents a grid of map canvases. Kadastr.Live Toolbar ????? ??????? ?? ????? Kadastr.Live ?? ??????????? ???????. S+HydPower Plugin designed to estimate hydropower generation. QollabEO Collaborative functions for interaction with remote users. digitizer digitizer NetADS NetADS est un logiciel web destiné à l’instruction dématérialisée des dossiers d’urbanisme. Runoff Model: RORB Build a RORB control vector from a catchment FlexGIS Manage your FlexGIS data LXExportDistrict Export administrative district PostGIS Toolbox Plugin for QGIS implementing selected PostGIS functions Chasse – Gestion des lots Fonctions permettant de définir la surface cadastrale des lots de chasse et d’extraire la liste des parcelles concernées par chaque lot de chasse, sous forme de fichier Excel®. Time Editor Used to facilitate the editing of features with lifespan information RST This plugin computes biophysical indices Japanese Grid Mesh Create common grid squares used in Japan. ???????????????????????????????????????????????????????????????????CSV???????????????????????????????????????? Panoramax Upload, load and display your immersive views hosted on a Panoramax instance. StereoPhoto Permet la visualisation d’images avec un système stéréoscopique CIGeoE Merge Multiple Lines Merge multiple lines by coincident vertices and with the same attribute names and values. CIGeoE Merge Lines Merge 2 lines that overlap (connected in a vertex) and have same attribute names and values. Nimbo’s Earth Basemaps Nimbo’s Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world’s entire landmass as captured by satellite imagery, updated every month. OpenHLZ An Open-source HLZ Identification Processing Plugin Selection as Filter This plugin makes filter for the selected features -
sur GeoServer Team: GeoServer installation methods on Windows
Publié: 30 November 2023, 1:00am CET
GeoSpatial Techno is a startup focused on geospatial information that is providing e-learning courses to enhance the knowledge of geospatial information users, students, and other startups. The main approach of this startup is providing quality, valid specialized training in the field of geospatial information.
( YouTube | LinkedIn | Facebook | Reddit | X )
GeoServer installation methods: “Windows Installer” and “Web Archive”GeoServer installation methods: “Windows Installer” and “Web Archive” In this session, we will talk about how to install GeoServer software by two common methods in Windows. If you want to access the complete tutorial, simply click on the link.
IntroductionGeoServer can be installed on different operating systems, since it’s a Java based application. You can run it on any kind of operating system for which exists a Java virtual machine. GeoServer’s speed depends a lot on the chosen Java Runtime Environment (JRE). The latest versions of GeoServer are tested with both OracleJRE and OpenJDK. These versions are:
- Java 17 for GeoServer 2.23 and above
- Java 11 for GeoServer 2.15 and above
- Java 8 for GeoServer 2.9 to GeoServer 2.22
- Java 7 for GeoServer 2.6 to GeoServer 2.8
- Java 6 for GeoServer 2.3 to GeoServer 2.5
- Java 5 for GeoServer 2.2 and earlier
But remember that the older versions are unsupported and won’t receive fixes nor security updates, and contain well-known security vulnerabilities that have not been patched, so use at own risk. That is true for both GeoServer and Java itself.
There are many ways to install GeoServer on your system. This tutorial will cover the two most commonly used installation methods on Windows.
- Windows Installer
- Web Archive
The Windows installer provides an easy way to set up GeoServer on your system, as it requires no configuration files to be edited or command line settings.
Installation- GeoServer requires a Java environment (JRE) to be installed on your system, available from Adoptium for Windows Installer, or provided by your OS distribution. For more information, please refer to this link: [https:]
Consider the operating system architecture and memory requirements when selecting a JRE installer. 32-bit Java version is restricted to 2 GB memory, while the 64-bit version is recommended for optimal server memory. Utilizing JAI with the 32-bit JRE can enhance performance for WMS output generation and raster operations.
- Install JRE by following the default settings and successfully complete the installation.
- Navigate to the GeoServer.org and download the desired version of GeoServer.
- Launch the GeoServer installer and agree to the license.
- Enter the path to the JRE installation and proceed with the installation. The installer will attempt to automatically populate this box with a JRE if it is found, but otherwise you will have to enter this path manually.
- Provide necessary details like the GeoServer data directory, administration credentials, and port configuration.
- Review the selections, install GeoServer, and start it either manually or as a service.
- Finally, navigate to localhost:8080/geoserver (or wherever you installed GeoServer) to access the GeoServer Web administration interface.
GeoServer can be uninstalled in two ways:
- By running the uninstall.exe file in the directory where GeoServer was installed
- By standard Windows program removal
GeoServer is packaged as a web-archive (WAR) for use with an application server such as Apache Tomcat or Jetty. It has been mostly tested using Tomcat, and so is the recommended application server. There are reasons for installing it such as it is widely used, well-documented, and relatively simple to configure. GeoServer requires a newer version of Tomcat (7.0.65 or later) that implements Servlet 3 and annotation processing. Other application servers have been known to work, but are not guaranteed.
Installation- Make sure you have a JRE installed on your system, then download Apache Tomcat from its website [https:] For the Windows installation package, scroll down and choose the 32bit/64bit Windows Service Installer option.
- Configure Tomcat by selecting components, setting up a username and password, and specifying memory settings. So, before start the Tomcat service, you have to configure the memory settings that will use for Java VM. To do it, open the Tomcat9w from the bin folder, then click on the Java tab. This tab allows for configuration of memory settings, including initial and maximum memory pool sizes. Recommended values are 512MB for the initial memory pool and 1024MB for the maximum memory pool.
- Start Tomcat service and verify its functionality, then navigate to localhost:8080, and get the Tomcat9 web page.
- Navigate to the GeoServer.org and Download page. Select Web Archive on the download page from the version of GeoServer that you wish to download.
- Deploy the GeoServer web archive as you would normally. Often, all that is necessary is to copy the GeoServer.war file to the Tomcat’s webapps directory, then the application will be deployed automatically.
- Now to access the Web administration interface, open a browser and navigate to localhost:8080 and press Manager App button. Enter the username and password of apache tomcat. Click on the start button for the GeoServer. Once it has started, click the GeoServer link. This will take you to the GeoServer web page.
Stop the container application. Remove the GeoServer webapp from the container application’s webapps directory. This will usually include the GeoServer.war file as well as a GeoServer directory.
Difference between GEOSERVER.war and GEOSERVER.exe?- The ‘GeoServer.exe’ NSIS installer registers GeoServer as a Windows Service, which uses the Jetty application server to run GeoServer. The ‘GeoServer.war’ is a platform independent web-archive package to be deployed in your own application server (we recommend Apache Tomcat). Using the ‘GeoServer.exe’ installer is a reliable way to setup GeoServer as a windows background service. The downside is the included Jetty application server is managed using text files (jetty.ini) once installed.
- Use of ‘GeoServer.war’ web-archive is provided to install into your own application server (we recommend Apache Tomcat as the market leader, with excellent documentation and integration options). A single application server may support several web application allowing GeoServer to be run alongside your own java web application.
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sur Marco Bernasocchi: New QGIS Courses dates for 2024
Publié: 29 November 2023, 11:03am CET
We published our new dates for all courses in 2024 and are looking forward to your participation
- Cours QGIS de base, 10.01. et 17.01.2024 à Lausanne in French
- Cours QGIS avancé, 24.01. et 31.01.2024 à Lausanne in French
- INTERLIS Webinar, 07.03.24 Online in German
- Modelbaker Kurs, 14.03.24 in Zürich in German
- QGIS Kurs Einsteiger, 22.05 und 29.05.2024 in Zürich in German
- QGIS Kurs Fortgeschrittene, 05.06 und 12.06.2024 in Zürich in German
- QGIS Kurs Einsteiger, 30.10 und 06.11.2024 in Bern in German
- QGIS Kurs Fortgeschrittene, 13.11 und 20.11.2024 in Bern in German
- QGIS Kurs Fortgeschrittene, 13.11 und 20.11.2024 in Bern in German
You can find all course information by clicking on the corresponding link
Subscribe now -
sur Free and Open Source GIS Ramblings: Analyzing mobility hotspots with MovingPandas & CARTO
Publié: 28 November 2023, 6:57pm CET
Today, I want to point out a blog post over at
written together with my fellow co-authors and EMERALDS project team members Argyrios Kyrgiazos and Helen McKenzie.
In this blog post, we walk you through a trajectory hotspot analysis using open taxi trajectory data from Kaggle, combining data preparation with MovingPandas (including the new OutlierCleaner illustrated above) and spatiotemporal hotspot analysis from Carto.
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sur gvSIG Team: Free workshop on ‘Introduction to gvSIG,’ using version 2.6 and its new icon set at 19th gvSIG Conference
Publié: 28 November 2023, 3:47pm CET
On November 30, 2023, during the 19th International gvSIG Conference, a free workshop will be held to learn to use version 2.6 of gvSIG, showcasing the new icon set.
To participate in the workshop, simply register using the following link: Workshop Registration.
Version 2.6 comes with an improved default icon set, replacing the one used since its initial versions.
This workshop will cover the main tools of the application, creating views, loading vector and raster layers, both locally and remotely, editing them graphically and alphanumeric, applying geoprocessing, and creating maps. All of this will be done using the new icon set, providing a refreshed version of gvSIG.
Whether you’ve used gvSIG before or it’s your first time, you won’t want to miss this workshop.
To follow it, you’ll need to download the portable version 2.6 of gvSIG for your operating system: Windows 64 – Windows 32 – Linux 64 – Linux 32
You’ll have to extract it to a folder without spaces. For example, you can create a folder called ‘gvSIG’ in C:\ (on Windows) or in the user’s home directory (on Linux), place the zip file inside, and extract it there.
You’ll also need to download the cartography to be used: Workshop Cartography ‘Introduction to gvSIG 2.6’
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sur GeoTools Team: GeoTools 30.1 released
Publié: 28 November 2023, 1:06am CET
The GeoTools team is pleased to the release of the latest stable version of GeoTools 30.1:geotools-30.1-bin.zip geotools-30.1-doc.zip geotools-30.1-userguide.zip geotools-30.1-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.1. The release was made by Jody Garnett (GeoCat).Release -
sur Free and Open Source GIS Ramblings: Setting up a graph db using GTFS data & Neo4J
Publié: 27 November 2023, 10:31pm CET
In a recent post, we looked into a graph-based model for maritime mobility data and how it may be represented in Neo4J. Today, I want to look into another type of mobility data: public transport schedules in GTFS format.
In this post, I’ll be using the public GTFS data for Riga since Riga is one of the demo sites for our current EMERALDS research project.
The workflow is heavily inspired by Bert Radke‘s post “Loading the UK GTFS data feed” from 2021 and his import Cypher script which I used as a template, adjusted to the requirements of the Riga dataset, and updated to recent Neo4J changes.
Here we go.
Since a GTFS export is basically a ZIP archive full of CSVs, we will be making good use of Neo4Js CSV loading capabilities. The basic script for importing the stops file and creating point geometries from lat and lon values would be:
LOAD CSV with headers FROM "file:///stops.txt" AS row CREATE (:Stop { stop_id: row["stop_id"], name: row["stop_name"], location: point({ longitude: toFloat(row["stop_lon"]), latitude: toFloat(row["stop_lat"]) }) })
This requires that the stops.txt is located in the import directory of your Neo4J database. When we run the above script and the file is missing, Neo4J will tell us where it tried to look for it. In my case, the directory ended up being:
C:\Users\Anita\.Neo4jDesktop\relate-data\dbmss\dbms-72882d24-bf91-4031-84e9-abd24624b760\import
So, let’s put all GTFS CSVs into that directory and we should be good to go.
Let’s start with the agency file:
load csv with headers from 'file:///agency.txt' as row create (a:Agency { id: row.agency_id, name: row.agency_name, url: row.agency_url, timezone: row.agency_timezone, lang: row.agency_lang });
… Added 1 label, created 1 node, set 5 properties, completed after 31 ms.
The routes file does not include agency info but, luckily, there is only one agency, so we can hard-code it:
load csv with headers from 'file:///routes.txt' as row match (a:Agency {id: "rigassatiksme"}) create (a)-[:OPERATES]->(r:Route { id: row.route_id, shortName: row.route_short_name, longName: row.route_long_name, type: toInteger(row.route_type) });
… Added 81 labels, created 81 nodes, set 324 properties, created 81 relationships, completed after 28 ms.
From stops, I’m removing non-existent or empty columns:
load csv with headers from 'file:///stops.txt' as row create (s:Stop { id: row.stop_id, name: row.stop_name, location: point({ latitude: toFloat(row.stop_lat), longitude: toFloat(row.stop_lon) }), code: row.stop_code });
… Added 1671 labels, created 1671 nodes, set 5013 properties, completed after 71 ms.
From trips, I’m also removing non-existent or empty columns:
load csv with headers from 'file:///trips.txt' as row match (r:Route {id: row.route_id}) create (r)<-[:USES]-(t:Trip { id: row.trip_id, serviceId: row.service_id, headSign: row.trip_headsign, direction_id: toInteger(row.direction_id), blockId: row.block_id, shapeId: row.shape_id });
… Added 14427 labels, created 14427 nodes, set 86562 properties, created 14427 relationships, completed after 875 ms.
Slowly getting there. We now have around 16k nodes in our graph:
Finally, it’s stop times time. This is where the serious information is. This file is much larger than all previous ones with over 300k lines (i.e. times when an PT vehicle stops).
This requires another tweak to Bert’s script since
using periodic commit
is not supported anymore:The PERIODIC COMMIT query hint is no longer supported. Please use CALL { … } IN TRANSACTIONS instead.
So I ended up using the following, based on [https:]] ::auto load csv with headers from 'file:///stop_times.txt' as row CALL { with row match (t:Trip {id: row.trip_id}), (s:Stop {id: row.stop_id}) create (t)<-[:BELONGS_TO]-(st:StopTime { arrivalTime: row.arrival_time, departureTime: row.departure_time, stopSequence: toInteger(row.stop_sequence)})-[:STOPS_AT]->(s) } IN TRANSACTIONS OF 10 ROWS;
… Added 351388 labels, created 351388 nodes, set 1054164 properties, created 702776 relationships, completed after 1364220 ms.
As you can see, this took a while. But now we have all nodes in place:
The final statement adds additional relationships between consecutive stop times:
call apoc.periodic.iterate('match (t:Trip) return t', 'match (t)<-[:BELONGS_TO]-(st) with st order by st.stopSequence asc with collect(st) as stops unwind range(0, size(stops)-2) as i with stops[i] as curr, stops[i+1] as next merge (curr)-[:NEXT_STOP]->(next)', {batchmode: "BATCH", parallel:true, parallel:true, batchSize:1});
This fails with:
There is no procedure with the name apoc.periodic.iterate registered for this database instance. Please ensure you've spelled the procedure name correctly and that the procedure is properly deployed.
So, let’s install APOC. That’s a plugin which we can install into our database from within Neo4J Desktop:
After restarting the db, we can run the query:
No errors. Sounds good.
Let’s have a look at what we ended up with. Here are 25 random Trips. I expanded one of them to show its associated StopTimes. We can see the relations between consecutive StopTimes and I’ve expanded the final five StopTimes to show their linked Stops:
I also wanted to visualize the stops on a map. And there used to be a neat app called Neomap which can be installed easily:
However, Neomap does not seem to be compatible with the latest Neo4J:
So this final step will have to wait for another time.
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sur gvSIG Team: Taller gratuito sobre “Introducción a gvSIG”, con la versión 2.6 y su nuevo juego de iconos en las 19as Jornadas gvSIG
Publié: 27 November 2023, 6:49pm CET
El día 30 de noviembre de 2023, durante las 19as Jornadas Internacionales gvSIG, se realizará un taller gratuito sobre el manejo de la versión 2.6 de gvSIG, con el nuevo juego de iconos.
Para seguir el taller solo deberás registrarte desde el siguiente enlace: Inscripción taller.
La versión 2.6 incluye por defecto un nuevo juego de iconos mejorado, sustituyendo al que llevaba desde sus versiones iniciales.
En este taller se repasarán las principales herramientas de la aplicación, aprendiendo a crear vistas, cargar capas vectoriales y raster, locales y remotas, a editarlas, tanto gráfica como alfanuméricamente, a aplicar geoprocesamiento y a generar mapas. Todo ello se realizará con el nuevo juego de iconos, que da una versión renovada a gvSIG.
Tanto si ya has utilizado gvSIG previamente, como si es tu primera vez, no puedes perderte este taller.
Para poder seguirlo, deberás descargarte la versión 2.6 portable de gvSIG, según tu sistema operativo: Windows 64 – Windows 32 – Linux 64 – Linux 32
Se deberá descomprimir en una carpeta sin espacios ni acentos ni eñes. Se puede crear por ejemplo una carpeta “gvSIG” en C:\ (en Windows) o en el home de usuario (en Linux), dejar el zip dentro, y descomprimir ahí.
Se deberá también descargar la cartografía a utilizar: Cartografía taller “Introducción a gvSIG 2.6”
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sur GeoServer Team: GeoServer 2.24.1 Release
Publié: 27 November 2023, 1:00am CET
GeoServer 2.24.1 release is now available with downloads (bin, war, windows), along with docs and extensions.
This is a stable release of GeoServer recommended for production use. GeoServer 2.24.1 is made in conjunction with GeoTools 30.1, and GeoWebCache 1.24.1.
Thanks to Jody Garnett (GeoCat) for making this release.
Release notesImprovement:
- GEOS-11152 Improve handling special characters in the Simple SVG Renderer
- GEOS-11153 Improve handling special characters in the WMS OpenLayers Format
- GEOS-11154 Improve handling special characters in the MapML HTML Page
- GEOS-11155 Add the X-Content-Type-Options header
- GEOS-11173 Default to using [HttpOnly] session cookies
- GEOS-11176 Add validation to file wrapper resource paths
- GEOS-11188 Let DownloadProcess handle download requests whose pixel size is larger than integer limits
- GEOS-11189 Add an option to throw a service exception when nearest match “allowed interval” is exceeded
- GEOS-11193 Add an option to throw an exception when the time nearest match does not fall within search limits
Bug:
- GEOS-11074 GeoFence may not load property file at boot
- GEOS-11166 OGC API Maps HTML representation fail without datetime parameter
- GEOS-11184 ncwms module has a compile dependency on gs-web-core test jar
- GEOS-11190 GeoFence: align log4j2 deps
- GEOS-11196 NPE in VectorDownload if ROI not defined
- GEOS-11200 GetFeatureInfo can fail on rendering transformations that generate a different raster
- GEOS-11203 WMS GetFeatureInfo bad WKT exception for label-geometry
- GEOS-11206 Throw nearest match mismatch exceptions only for WMS
For the complete list see 2.24.1 release notes.
Community Module Updates OAuth2 OpenID-Connect improvementsTwo improvements have been made to the community module for OAuth2 OpenID-Connect authentication:
- GEOS-11209 Open ID Connect Proof Key of Code Exchange (PKCE)
- GEOS-11212 ODIC accessToken verification using only JWKs URI
In addition the module includes an
OIDC_LOGGING
profile and updated documentation covering new settings and troubleshooting guidance.Thanks Jody Garnett for these improvements on behalf of GeoBeyond.
note: Over the course of 2024 the OAuth2 plugins will need to be rewritten for spring-framework 6. Interested parties are encouraged to reach out to geoserver-devel email list; ideally we would like to see this functionality implemented and included as part of GeoServer.
About GeoServer 2.24 SeriesAdditional information on GeoServer 2.24 series:
- GeoServer 2.24 User Manual
- State of GeoServer 2.24 (foss4g-na presentation)
- Control remote HTTP requests sent by GeoTools/GeoServer
- Multiple CRS authority support, planetary CRS
- Extensive GeoServer Printing improvements
- Upgraded security policy
Release notes: ( 2.24.1 | 2.24.0 | 2.24-RC )
GeoServer is an Open Source Geospatial Foundation project supported by a mix of volunteer and service provider activity. We reply on sponsorship to fund activities beyond the reach of individual contributors.
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sur KAN T&IT Blog: Destacada participación de Julia Martinuzzi y Walter Shilman en el Side Event de UN-GGIM Américas
Publié: 24 November 2023, 6:47pm CET
El pasado 20 de octubre, nuestra Directora de Operaciones (COO), Julia Martinuzzi, y nuestro Director de Tecnología (CTO), Walter Shilman, asumieron roles clave durante la Décima Sesión de la Comisión de las Naciones Unidas para América Latina y el Caribe (ECLAC) celebrada en Santiago de Chile. Su destacada participación se centró en la organización y liderazgo del Side Event titulado «Open Source technologies for geospatial information management and their role in the implementation of the IGIF.»
Este evento, coordinado por el capítulo argentino de OSGeo – Geolibres, reunió a destacados expertos de la región para compartir sus conocimientos sobre enfoques sostenibles y accesibles para abordar los desafíos geoespaciales.
La discusión se centró esencialmente en la implementación del Marco Integrado de Información Geoespacial (IGIF), resaltandola importancia de la accesibilidad y sostenibilidad, con un énfasis primordial en la aplicación de tecnologías de código abierto.
Los participantes exploraron temas clave, como la integración de datos estadísticos y geoespaciales, destacando cómo las tecnologías de código abierto fomentan la colaboración y mejoran la toma de decisiones. Además, se examinó el papel esencial de la geoinformación y las tecnologías de código abierto en la gestión de desastres.
El evento concluyó resaltando la necesidad de difundir y promover el uso de tecnologías de código abierto entre los países miembros de UN-GGIM, subrayando su poder en la Gestión de Información Geoespacial. La colaboración e intercambio de conocimientos entre expertos y principiantes fueron identificados como impulsores clave para un uso más efectivo de la información geoespacial en diversas aplicaciones, desde la planificación urbana hasta la gestión de desastres.
En ese momento, Julia Martinuzzi y Walter Shilman lideraron de manera destacada, contribuyendo significativamente al buen desarrollo del evento. Esperamos que esta experiencia positiva siga siendo una fuente de nuevas ideas y trabajo conjunto en el manejo de información geoespacial en América Latina y el Caribe.
Presentación en el Side Event sobre «Open Source technologies for geospatial information management and their role in the implementation of the IGIF,»
Les compartimos la presentación del evento para que todos puedan acceder.
Presentación Side Event: «Open Source technologies for geospatial information management and their role in the implementation of the IGIF»
UN-GGIM-Americas-Side-Event-ENDescarga -
sur SIG Libre Uruguay: Un nuevo reconocimiento a gvSIG
Publié: 23 November 2023, 3:05pm CET
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sur gvSIG Team: El Proyecto GVSIG, impulsado por la Generalitat Valenciana y la Asociación GVSIG, galardonado como mejor proyecto de software de Europa en los OSOR Awards
Publié: 23 November 2023, 11:25am CET
El Proyecto GVSIG, una iniciativa conjunta de la Generalitat Valenciana y la Asociación GVSIG, ha sido distinguido con el primer premio en los OSOR Awards. Este galardón reconoce los logros excepcionales que ha logrado el proyecto GVSIG a nivel internacional y reflejan el compromiso continuo de la Generalitat Valenciana con la innovación y la colaboración.
Los OSOR Awards han sido organizados por el Observatorio de Software Libre (OSOR) de la Comisión Europea con motivo de su 15 aniversario, y han querido destacar los mejores proyectos impulsados por las administraciones públicas de toda Europa. En este contexto, GVSIG ha destacado entre todas las nominaciones, convirtiéndose en el ganador de los premios, en los que se ha destacado su impacto global y su contribución al desarrollo tecnológico europeo.
Según los organizadores de los premios se recibieron más de cien candidaturas de 23 países. Tras una primera fase, el jurado seleccionó los seis mejores proyectos, donde GVSIG compartía opciones con proyectos de España, Dinamarca, Italia y Francia. Durante el evento organizado en el día de ayer en Bruselas, los seis proyectos tuvieron que defender su candidatura ante el jurado de la Comisión Europea. Finalmente fue anunciado el ganador: el proyecto GVSIG presentado conjuntamente por la Generalitat Valenciana y la Asociación GVSIG.El Proyecto GVSIG es un catálogo de herramientas informáticas para gestión de información geográfica que desde su nacimiento en 2004 ha ido ganado reconocimiento por su versatilidad y utilidad en una variedad de sectores, desde la gestión de recursos naturales hasta la planificación urbana. La Generalitat Valenciana ha desempeñado un papel fundamental tanto en su impulso inicial como en el respaldo continuo al proyecto. La Asociación GVSIG, por su parte, ha desempeñado un papel esencial en la promoción y difusión de esta plataforma a nivel internacional, facilitando la generación y crecimiento de un sector empresarial valenciano especialista en tecnologías de información geográfica. Un ejemplo de colaboración público-privada que ahora obtiene el reconocimiento de Europa.
Este prestigioso galardón no solo reconoce el éxito del Proyecto GVSIG, sino que también destaca el compromiso de la Generalitat Valenciana y la Asociación GVSIG con la promoción de soluciones tecnológicas abiertas y accesibles, fomentando la innovación y la colaboración como motor de desarrollo.
GVSIG da solución a todas las necesidades relacionadas con la geolocalización y la administración del territorio. En la Generalitat Valenciana se multiplican sus usuarios y entre los diversos ejemplos de uso se encuentran desde aplicaciones para ayudar a proteger las praderas fanerógamas, la conocida posidonia, evitando fondear en zonas protegidas a aplicaciones de gestión del registro vitivinícola, pasando por soluciones para fomentar la movilidad sostenible mediante un planificador de rutas más versátil que el propio Google Maps o aplicaciones para analizar los accidentes de tráfico.
Si su uso es transversal en la Generalitat Valenciana, otro tanto ocurre a nivel global. Son innumerables las entidades de todo tipo que utilizan esta tecnología valenciana. En la presentación de los OSOR Awars se citaron varias de ellas. A nivel supranacional entidades como Naciones Unidas la han adoptado como tecnología de referencia en usos tan destacados como facilitar la seguridad de las misiones de los Cascos Azules en sus desplazamientos ante ataques terroristas. A nivel nacional ha sido igualmente adoptada, contando casos tan significativos como el del Gobierno de Uruguay, donde GVSIG es la base tecnológica para todos los proyectos de gestión y difusión de información territorial del país, habiendo servido también para crear un sistema único de direcciones. En Uruguay ha sido tal el nivel de adopción que en la educación secundaria es utilizada para el aprendizaje de las materias relacionadas con la geografía. Su uso a nivel regional y local nos lleva a citar ejemplos como el del Estado de Tocantins en Brasil, donde se ha convertido en la plataforma de gestión geográfica y estadística o el Gobierno de Córdoba en Argentina, donde es utilizada para analizar los datos de criminalidad y seguridad ciudadana. Y donde todavía está más implantada es en las administraciones locales, donde GVSIG está siendo adoptada a gran velocidad por decenas de ayuntamientos de toda España; los últimos han sido los Ayuntamientos de Alicante, Albacete, Cartagena y Talavera de la Reina. Solo en la Comunidad Valenciana el número de ayuntamientos que confían en GVSIG es innumerable: Cullera, Onda, Picassent, L’Eliana, La Pobla de Vallbona, Nàquera, Alzira, Benicarló… e igualmente otras entidades valencianas han adoptado GVSIG como el Consorcio Provincial de Bomberos de Valencia, donde su uso se centra en la gestión de emergencias. Y más allá de la administración pública, cuya relación con el territorio es directa, GVSIG también ha entrado a formar parte de las soluciones informáticas que utilizan empresas que trabajan con información geoposicionada, como es el caso de Repsol que hace un uso extensivo de GVSIG en su división de energías renovables.
El premio otorgado a la Generalitat Valenciana y a la Asociación GVSIG se suma a otros galardones obtenidos anteriormente, de entidades tan diversas como el Diario Expansión o la NASA.
GVSIG es un referente en lo que se ha denominado Infraestructuras de Datos Espaciales, la puesta en marcha de plataformas que permitan a las administraciones públicas compartir su información geográfica mediante estándares.
El impacto del proyecto tiene numerosas derivadas, a nivel académico se imparte formación en GVSIG en universidades de todo el mundo, se publican anualmente cientos de artículos científicos donde se utiliza GVSIG como herramienta de los investigadores, se multiplican las conferencias y eventos donde se presentan todo tipo de proyectos desarrollados con GVSIG.
GVSIG, un proyecto basado en el conocimiento libre, ejemplo de colaboración público-privada que sitúa a Valencia como uno de los indiscutibles polos de referencia en el ámbito de la geomática, la tecnología aplicada a la dimensión geográfica de la información. El premio obtenido ayer es un reconocimiento a todo el camino recorrido.
Recientemente ha sido nominado al Premio Nacional de Ciencias Geográficas, todavía por resolver. Lo que nos han confirmado fuentes de la Asociación gvSIG es que esta candidatura ha recibido más de 150 cartas de apoyo de entidades de todo el mundo, desde el Departamento de Transporte de Washington al Ordnance Survey, la agencia cartográfica del Reino Unido. -
sur gvSIG Team: The GVSIG Project, driven by the Generalitat Valenciana and the GVSIG Association, awarded as the best software project in Europe at the OSOR Awards
Publié: 23 November 2023, 9:24am CET
The GVSIG Project, a joint initiative of the Generalitat Valenciana and the GVSIG Association, has been honored with the first prize at the OSOR Awards. This award recognizes the exceptional achievements of the GVSIG project on an international level and reflects the ongoing commitment of the Generalitat Valenciana to innovation and collaboration.
The OSOR Awards were organized by the Observatory of Open Source Software (OSOR) of the European Commission on the occasion of its 15th anniversary, aiming to highlight the best projects driven by public administrations throughout Europe. In this context, GVSIG stood out among all nominations, becoming the winner of the awards, emphasizing its global impact and contribution to European technological development.
According to the award organizers, over a hundred nominations from 23 countries were received. After an initial phase, the jury selected the top six projects, where GVSIG competed alongside projects from Spain, Denmark, Italy, and France. During the event held yesterday in Brussels, the six projects had to defend their candidacy before the European Commission’s jury. Finally, the winner was announced: the GVSIG project jointly presented by the Generalitat Valenciana and the GVSIG Association.
The GVSIG Project is a catalog of computer tools for geographic information management that, since its inception in 2004, has gained recognition for its versatility and usefulness in various sectors, from natural resource management to urban planning. The Generalitat Valenciana has played a fundamental role in both its initial promotion and continuous support for the project. The GVSIG Association, in turn, has played an essential role in promoting and disseminating this platform internationally, facilitating the generation and growth of a Valencian business sector specializing in geographic information technologies. An example of public-private collaboration that now receives recognition from Europe.
This prestigious award not only acknowledges the success of the GVSIG Project but also highlights the commitment of the Generalitat Valenciana and the GVSIG Association to promoting open and accessible technological solutions, fostering innovation and collaboration as drivers of development.
GVSIG addresses all needs related to geolocation and territory management. Its users in the Generalitat Valenciana are multiplying, and among various use cases are applications to help protect seagrass meadows, such as the well-known posidonia, by avoiding anchoring in protected areas, applications for managing the vineyard registry, and solutions to promote sustainable mobility through a route planner more versatile than Google Maps itself, or applications to analyze traffic accidents.
If its use is widespread in the Generalitat Valenciana, the same is true globally. Countless entities of all kinds use this Valencian technology. Several were mentioned in the presentation of the OSOR Awards. At the supranational level, entities like the United Nations have adopted it as a reference technology for prominent uses, such as enhancing the security of Blue Helmets’ missions during their travels in the face of terrorist attacks. Nationally, it has been similarly adopted, with significant cases such as the Government of Uruguay, where GVSIG is the technological basis for all territorial information management and dissemination projects in the country, also serving to create a unique addressing system. In Uruguay, its adoption is so extensive that it is used in secondary education for learning subjects related to geography. Its use at the regional and local levels leads to examples such as the State of Tocantins in Brazil, where it has become the platform for geographic and statistical management, or the Government of Córdoba in Argentina, where it is used to analyze crime and public safety data. It is even more deeply entrenched in local administrations, with GVSIG being rapidly adopted by dozens of municipalities throughout Spain, including the recent additions of the municipalities of Alicante, Albacete, Cartagena, and Talavera de la Reina. In the Valencian Community alone, the number of municipalities trusting GVSIG is countless: Cullera, Onda, Picassent, L’Eliana, La Pobla de Vallbona, Nàquera, Alzira, Benicarló, and many other Valencian entities have also adopted GVSIG, such as the Provincial Fire Consortium of Valencia, where its use focuses on emergency management. Beyond the public administration, whose relationship with the territory is direct, GVSIG has also become part of the computer solutions used by companies working with geopositioned information, such as Repsol, which extensively uses GVSIG in its renewable energy division.
The award granted to the Generalitat Valenciana and the GVSIG Association adds to other accolades previously obtained from diverse entities such as Diario Expansión or NASA.
GVSIG is a reference in what is called Spatial Data Infrastructures, the implementation of platforms that allow public administrations to share their geographic information through standards.
The impact of the project has numerous ramifications; academically, GVSIG training is offered at universities worldwide, hundreds of scientific articles are published annually using GVSIG as a tool by researchers, and conferences and events showcasing various projects developed with GVSIG abound.
GVSIG, a project based on free knowledge, is an example of public-private collaboration that positions Valencia as one of the undisputed reference hubs in the field of geomatics, technology applied to the geographic dimension of information. The award obtained yesterday is recognition for the entire journey taken.
Recently, it has been nominated for the National Geographic Sciences Award, still pending resolution. Sources from the GVSIG Association have confirmed that this candidacy has received more than 150 letters of support from entities worldwide, from the Department of Transportation in Washington to the Ordnance Survey, the cartographic agency of the United Kingdom.
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sur gvSIG Team: Program of 19th International gvSIG Conference (online) is now available, and registration (free of charge) period is open
Publié: 22 November 2023, 10:18am CET
Free registration period for the 19th International gvSIG Conference is now open. The Conference is an online event, and it will be held from November 29th to 30th.
The full program of the Conference is available on the event website, where registration to the different sessions can be done.
The webinar platform allows to connect to the webinars from any operating system, and in case you can’t follow them, you will be able to watch them at the gvSIG Youtube channel later.
In reference to workshops, all the information about cartography and gvSIG version to install will be published at the gvSIG blog before the conference.
Don’t miss it!
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sur gvSIG Team: Programa e inscripciones gratuitas abiertas para las 19as Jornadas Internacionales gvSIG (online)
Publié: 22 November 2023, 10:09am CET
Ya están abiertas las inscripciones gratuitas para las 19as Jornadas Internacionales gvSIG, que se celebrarán de forma online los días 29 y 30 de noviembre.
El programa completo está disponible en la página web del evento, desde donde se puede realizar la inscripción a cada una de las ponencias.
La plataforma de webinar permite conectarse desde cualquier sistema operativo, y en caso de no poder seguirlos en directo se podrán ver a posteriori, ya que se publicarán en el canal de Youtube del proyecto al igual que en años anteriores.Respecto a los talleres, en el blog de gvSIG informaremos sobre la cartografía a descargar para seguirlos, así como de la versión de gvSIG a instalar.
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sur SIG Libre Uruguay: Las TIG ante los nuevos retos globales en un contexto cambiante. Actas de la XVIII CONFIBSIG 2023. Cáceres, 16-19 de mayo de 2023
Publié: 21 November 2023, 3:52pm CET
Descarga de la publicación aquí
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sur Sean Gillies: Bear 100 retro
Publié: 20 November 2023, 3:50am CET
After the race I needed some time to deal with my disappointment about rolling my ankle and dropping out at mile 61. Then I got busy looking for a new job. Writing up a retrospective that I could use in the future was delayed. Here it is, at last. I hope it's interesting and useful to others. This kind of retrospective is something I've learned to use at work. It's roughly organized around what went well, what could be better, lessons learned, in the areas of preparation and training, planning, and execution.
First of all, the race itself was great! Other runners I know said it was, and they were right. It was very well run. The aid stations were well stocked and operated smoothly. The course was beautiful and well marked. I felt constantly challenged, safe, and encouraged. I won't forget the super runnable single track down into Leatham Hollow, the springy soil made of pine needles, the ferns, and the view of the cliffs on the sunny slope. I lived just a few miles away for 10 years, but I'd never been on that trail before. The shady side of the canyon was super lush and green, almost Pacific Northwestern compared to Colorado's Front Range foothills. My memory of arriving at the Upper Richards Hollow aid station is another favorite. After a tough climb out of a wooded canyon, we were greeted on the flat bench above by an aid station volunteer holding a tray of cool, moist towels! They invited us to freshen up and enjoy a fancy brunch at clothed tables served by volunteers in tuxedo t-shirts. More than one of us expressed the feeling that it was way too early to be having hallucinations.
Much went according to plan, or better. My summer training volume was adequate and I did plenty of hiking and running on similar terrain at a similar, or higher, elevation. 4.5 weeks of fine tuning and tapering suited me well. I started the race feeling fresh. Flying to Salt Lake City and driving to Logan worked well for me. I was able to close my eyes and snooze while others transported me from Fort Collins to SLC. After landing, I had a sentimental and tasty lunch at Red Iguana, one of my favorite restaurants. In Logan, I enjoyed an entire day of hanging out with my aunt and her dog before race day.
My simple race plan was fine. I started out aiming to leave aid stations at the times that previous 36 hour finishers have, and did that. I aimed to slow down less than the typical 36 hour finisher after 40 miles, and achieved that, too. It was a good pacing plan for finishing in less than 36 hours. At each aid station I knew how many 100 calorie portions of food I should be picking up, and how many drink bottles to fill, and this was a fine fueling and hydration plan. I didn't bonk, cramp, or run out of drinks at any point, thanks to the water drop above Temple Fork.
We had exceptionally good weather on race day and night, so flaws in my equipment choices didn't surface like they might have. Tony Grove was, in fact, a good place to have a change of clothes, pants, and a sweater. Temple Fork would have been too early for warm layers. Franklin Basin would have been too late.
My feet suffered less in 60 miles of the Bear than in any of my previous 100K runs. I lubed them well before the start and changed socks at 28 and 50 miles. I had no blisters and no hot spots. I started the race in a pair of newish HOKA Mafate Speed 4 and they were fine. In the weeks before the race I had some persistent soreness on the top of my right foot and was concerned about a stress injury, but this didn't get any worse during the Bear.
I had no crew at the race, but found good company on the trail multiple times. Sometimes with other people making their own first 100 mile attempt. Sometimes with people going for their third or fourth Bear finish. I heard hilarious stories about the extreme hallucinations you can experience after 48 hours without sleep. I met a guy who graduated from Cache Valley's other high school a year after I graduated from Logan High. I ran with a woman who lost her colon to cancer a year ago. I spent four hours on the trail before Tony Grove with a guy from Boulder who runs a molecular biology center at CU. We run many of the same routes in Rocky Mountain National Park.
Now for the things that didn't go as well. Some flaws in my training and overall fitness were exposed by the Bear's long and rough downhills. I should lose at least 10 pounds. 15 might be better. I can feel the extra weight in my knees and the sensation compounded over 20+ hours. Also, I feel like I've lost foot speed and spatial sense over the last year or so. Three years ago my favorite fitness trainer went out of business and exercises like skaters and box jumps fell out of my repertoire. I believe that I can improve my proprioception by bringing these kinds of exercises back. If I can, I should be better able to dodge impacts instead of absorbing them.
My stomach was fine at the Bear, but I struggled with lower intestinal trouble from miles 20-40. I had to make a lot of stops in the trees, used up my supply of toilet paper, and had to resort to various leaves. Burdock is my friend in this situation. It wasn't the end of the world, but was a distraction. I don't know what the cause was. In the interest of keeping things simple, I had decided to go with the race's drinks instead of bringing, and mixing, my own, but I didn't train with them beforehand. Gnarly Fuel2O treated me well enough at Kettle Moraine, so I felt safe at the Bear. I started the race with 3 bottles of GU Roctane because I spaced packing some Tailwind mix for my initial bottles. I've never tried this stuff before. It has more ingredients than Taillwind or VFuel, my staples, including taurine. Maybe that was the culprit? I can only speculate. As I said, this was not a problem that would have prevented me from finishing.
Long descents in the dark made my brain and eyes tired. I was not fully prepared for this. I had a 350 lumen light on my belt and 500 lumens on my head. This was fine for 9 hours at Kettle Moraine in June, but not great for 12 hours at the Bear. I'll bring more light next time. Why spend energy trying to figure out mysteries on the trail that could be solved by better illumination?
Without a crew, my stop at Tony Grove to change clothes and get set for seven more hours of night running was overly long. I wonder if I'd left 20-30 minutes earlier I might have reached Franklin Basin without incident? At the very least, I'd have reached Franklin Basin that much sooner. A crew wouldn't have helped earlier, but would have helped at 50 miles when I was trying to change clothes, stay warm, and get fed simultaneously. It was mentally tiring at a moment where I was already mentally tired.
I've mentioned before that I left Tony Grove alone at 11 pm and had a sprained ankle at 1 pm. I was out there by myself and am not sure what happened. I could have fallen asleep on my feet; this has been known to happen. Having a pacer could have helped get me to Franklin Basin and beyond in good shape. Being able to follow someone with fresh eyes and a fresh mind would have helped with the issues I mentioned two paragraphs above. It's always easier to follow than to break trail. Even without a pacer, if I'd been in a small group I could have done some leading and some following. This would have been good. And I think getting out of Tony Grove earlier would have made it more likely to join such a group.
In hindsight, I should have had some plan for resting or napping. At 20 hours, I was more groggy than I expected, perhaps because I was alone with nothing but my breath, footsteps, and sleepy thoughts. Recently, a friend of mine shared his tactic of laying down on the trail for short naps, to be woken by the next runner 5-10 minutes behind. This issue is very connected to the previous ones. With less exertion, there is less need to nap. Even if I solve other problems, I bet I'll still run into the need to shut my eyes at 3 or 4 am. I'm going to think about this for next year.
Lastly on the could-have-gone-better front, how about my reaction to my ankle injury? My fuzzy recollection is that I came to full consciousness with a painful and unstable ankle in the dark at 1 am, a mile from the Franklin Basin aid station. I was concerned and went gingerly over that mile, and my plan was to try 15-20 minutes of elevation and compression before deciding whether to continue. I wasn't otherwise physically tired, hungry, or thirsty. My ankle became more swollen and painful while I was off my feet, and after 30 minutes I concluded that I could could not continue.
What if I had not stopped and just grabbed some hot food and kept going? The worst case scenario would have been hiking some small way toward the next aid station and having to return to Franklin Basin, with some damage done to my ankle. What if I had been able to hobble 8 miles to the Logan River aid station and continue slowly from there? I've run through mild sprains several times this year, and have endured worse grade 2 sprains than this one, yes, but not this year. Being alone out there make it harder to push on. If I was pacing myself, I may have been able to convince myself to take a shot at continuing. I think dropping out was 99% the right decision overall. My chance of making it another 8 miles to Logan River was maybe 50%, though? It's hard to say.
I learned two lessons. The TSA says no hiking poles allowed in carry on luggage! I had to leave mine behind at DEN and get new poles at the Farmington REI after leaving SLC. I won't make this mistake again.
While I was mentally prepared for the possibility of dropping out of the race, I did not have any plan for getting back to town after I did so! After two hours of sitting by the campfire at Franklin Basin I did finally meet someone who was heading directly back down the canyon to Logan.
As I said earlier, things mostly went my way. Except for some bad luck and a misstep I believe I would have finished. Registration for the 2024 edition of the Bear opens on December 1. I'm going to try again with more or less the same simple plan, stronger ankles, more light, and fewer distractions.
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sur Sean Gillies: Status update
Publié: 20 November 2023, 1:41am CET
Finally, I have a professional update. I started work at TileDB on Wednesday. I'll be working from Fort Collins alongside colleagues around the world. I know a slice of TileDB's market, dense multi-dimensional arrays like earth observation data, well, but have a lot to learn about genetic data, embeddings, and storing graphs in adjacency matrices. I expect this to be both challenging and fun. I'll post more about it once I'm settled in.
I'll be resuming work on open source projects, which I've paused while job hunting, soon!
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sur PostGIS Development: PostGIS Patch Releases
Publié: 20 November 2023, 1:00am CET
The PostGIS development team is pleased to provide bug fix and performance enhancements 3.4.1, 3.3.5, 3.2.6, 3.1.10, 3.0.10 for the 3.4, 3.3, 3.2, 3.1, 3.0 stable branches.
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sur Free and Open Source GIS Ramblings: Adding basemaps to PyQGIS maps
Publié: 17 November 2023, 1:00pm CET
In the previous post, we investigated how to bring QGIS maps into Jupyter notebooks.
Today, we’ll take the next step and add basemaps to our maps. This is trickier than I would have expected. In particular, I was fighting with “invalid” OSM tile layers until I realized that my QGIS application instance somehow lacked the “WMS” provider.
In addition, getting basemaps to work also means that we have to take care of layer and project CRSes and on-the-fly reprojections. So let’s get to work:
from IPython.display import Image from PyQt5.QtGui import QColor from PyQt5.QtWidgets import QApplication from qgis.core import QgsApplication, QgsVectorLayer, QgsProject, QgsRasterLayer, \ QgsCoordinateReferenceSystem, QgsProviderRegistry, QgsSimpleMarkerSymbolLayerBase from qgis.gui import QgsMapCanvas app = QApplication([]) qgs = QgsApplication([], False) qgs.setPrefixPath(r"C:\temp", True) # setting a prefix path should enable the WMS provider qgs.initQgis() canvas = QgsMapCanvas() project = QgsProject.instance() map_crs = QgsCoordinateReferenceSystem('EPSG:3857') canvas.setDestinationCrs(map_crs) print("providers: ", QgsProviderRegistry.instance().providerList())
To add an OSM basemap, we use the xyz tiles option of the WMS provider:
urlWithParams = 'type=xyz&url=https://tile.openstreetmap.org/{z}/{x}/{y}.png&zmax=19&zmin=0&crs=EPSG3857' rlayer = QgsRasterLayer(urlWithParams, 'OpenStreetMap', 'wms') print(rlayer.crs()) if rlayer.isValid(): project.addMapLayer(rlayer) else: print('invalid layer') print(rlayer.error().summary())
If there are issues with the WMS provider,
rlayer.error().summary()
should point them out.With both the vector layer and the basemap ready, we can finally plot the map:
canvas.setExtent(rlayer.extent()) plot_layers([vlayer,rlayer])
Of course, we can get more creative and style our vector layers:
vlayer.renderer().symbol().setColor(QColor("yellow")) vlayer.renderer().symbol().symbolLayer(0).setShape(QgsSimpleMarkerSymbolLayerBase.Star) vlayer.renderer().symbol().symbolLayer(0).setSize(10) plot_layers([vlayer,rlayer])
And to switch to other basemaps, we just need to update the URL accordingly, for example, to load Carto tiles instead:
urlWithParams = 'type=xyz&url=http://basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png&zmax=19&zmin=0&crs=EPSG3857' rlayer2 = QgsRasterLayer(urlWithParams, 'Carto', 'wms') print(rlayer2.crs()) if rlayer2.isValid(): project.addMapLayer(rlayer2) else: print('invalid layer') print(rlayer2.error().summary()) plot_layers([vlayer,rlayer2])
You can find the whole notebook at: [https:]]
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sur Lutra consulting: 3D Tiles in QGIS
Publié: 16 November 2023, 9:00am CET
Earlier this year, in collaboration with North Road we were awarded a grant from Cesium to introduce 3D tiles support in QGIS. The feature was developed successfully and shipped with QGIS 3.34.
In this blog post, you can read more about how to work with this feature, where to get data and how to display your maps in 2D and 3D. For a video demo of this feature, you can watch Nyall Dawson’s presentation on Youtube.
What are 3D tiles?3D tiles are a specification for streaming and rendering large-scale 3D geospatial datasets. They use a hierarchical structure to efficiently manage and display 3D content, optimising performance by dynamically loading appropriate levels of detail. This technology is widely used in urban planning, architecture, simulation, gaming, and virtual reality, providing a standardised and interoperable solution for visualising complex geographical data.
Examples of 3D tiles:
Data from Swisstopo [https:]
Washington - 3D Surface Model (Vricon, Cesium) 3D tiles in QGISTo be able to use 3D tiles in QGIS, you need to have QGIS 3.34 or later. You can add a new connection to a 3D tile service from within the Data Source Manager under Scene:
Adding a new 3D tile service from Data Source Manager in QGISAlternatively, you can add the service from your Browser Panel:
3D tiles data provider in the Browser panelTo test the feature, you can use the following 3D tiles service:
Name: Bathurst URL: [https:]
Creating a new connection to a 3D tiles serviceYou can then add the map from the newly generated connection to QGIS:
Adding a new 3D tiles to QGISBy default, the layer is styled using texture, but you can change it to see the wireframe mesh behind the scene:
3D tiles’ mesh wireframeYou can change the mesh fill and line symbols similar to the vector polygons. Alternatively, you can use texture colors. This will render each mesh element with the average value of the full texture. This is ideal when dealing with a large dataset and want to get a quick overview of the data:
3D tiles with texture color for meshesTo view the data in 3D, you can open a new 3D map. Similar to 2D map, by zooming in/out, finer resolution tiles will be fetched and displayed:
Using data from Cesium ionCesium ion is a cloud-based platform for managing and streaming 3D geospatial data. It simplifies data management, visualisation, and sharing.
To add 3D tiles from Cesium ion, you need to first sign up to their service here: [https:]
Under Asset Depot, you will see a catalogue of publicly available datasets. You can also upload your own 3D models (such as OBJ or PLY), georeference them and get them converted to 3D tiles.
You can also add one of the existing tile service under [https:]] and select the tile service and then click on Add to my assets:
Adding an existing dataset to your Cesium ion assetsYou can use the excellent Cesium ion plugin by North Road from the QGIS repository to add the data to QGIS:
Adding Cesium ion assets to QGIS Working with Google 3D dataIn addition to accessing Google Photorealistic 3D tiles from Cesium ion, you can also add the tiles directly in QGIS. First you will need to follow the instructions below and obtain API keys for 3D tiles: [https:]]
During the registration process, you will be asked to add your credit card details. Currently (November 2023), they do not charge you for using the service.
Once you have obtained the API key, you can add Google tiles using the following connection details:
Adding Google Photorealistic tiles in QGIS Notes and remarks- Adjusting map extents for large scenes
When dealing with large scenes, map extents should be set to a smaller area to be able to view it in 3D. This is the current limitation of QGIS 3D maps as it cannot handle scenes larger than 500 x 500 km.
To change the map extent, you can open Project Properties and under View Settings change the extent. In the example below, the map extent has been limited only to a part of London, so we can view Google Photorealistic tiles in the 3D map without rendering issues.
Limiting project extent in QGIS
3D tiles from Google in QGIS- Network cache size
If you are handling a large dataset, it is recommended to increase network cache size to 1 GB or more. The default value in QGIS is much lower and it results in slower rendering of the data.
Increasing Cache size in QGIS for faster rendering- Overlaying other 3D data
When you try to overlay other data sets on top of a global 3D tiles, the vertical datum might not match and hence you will see the data in the wrong place in a 3D map. To fix the issue, you may need to use elevation offsetting to shift the data along the Z axis under Layer Properties:
Offsetting elevation of a layer in QGIS Future worksThis is the first implementation of the 3D tiles in QGIS. For the future, we would like to add more features for handling and creation of the 3D tiles. Our wishlist in no particular order is:
- Globe view: QGIS 3D cannot handle large scenes or unprojected views.
- More advanced styling of meshes: as an example, users will be able to create their own style.
- 3D In-door navigation: as an example users will be able to navigate inside buildings and potentially it will bring BIM data closer to QGIS
- Generation of 3D tiles inside QGIS: adding a processing tool in QGIS to generate 3D Tiles from your map data.
Styling of 3D tiles (image from [https:]If you would like to see those features in QGIS and want to fund the efforts, do not hesitate to contact us.
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sur Free and Open Source GIS Ramblings: MovingPandas v0.17 released!
Publié: 15 November 2023, 7:16pm CET
Over the last couple of months, I have not been posting release announcements here, so there is quite a bit to catch up.
The latest v0.17.2 release is now available from conda-forge.
New features (since 0.14):
- Improved MovingFeatures MF-JSON support
- New OutlierCleaner #334
- Faster stop detection #316
- New arrow markers to indicate trajectory direction in plots fb1174b
- Distance, speed, and acceleration unit handling #295
- New aggregation parameter (agg) for to_traj_gdf() 5745068
- New get_segments_between() for TrajectoryCollection #287
Behind the scenes:
- We now have a dedicated Github organization: [https:]] that houses all related repositories
- And we finally added [https] support to the website
As always, all tutorials are available from the movingpandas-examples repository and on MyBinder:
If you have questions about using MovingPandas or just want to discuss new ideas, you’re welcome to join our discussion forum.
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sur Markus Neteler: Translating Open Source Software with Weblate: A GRASS GIS Case Study
Publié: 14 November 2023, 4:27pm CET
Open source software projects thrive on the contributions of the community, not only for the code, but also for making the software accessible to a global audience. One of the critical aspects of this accessibility is the localization or translation of the software’s messages and interfaces. In this context, Weblate (https://weblate.org/) has proven to be a powerful tool for managing these translations, especially for projects such as GRASS GIS, which is part of OSGeo (Open Source Geospatial Foundation).
What is Weblate?Weblate is an open source translation management system designed to simplify the translation process of software projects. It provides an intuitive web interface that allows translators to work without deep technical knowledge. This ease of use combined with robust integration capabilities makes Weblate a popular choice for open source projects.
GRASS GIS and LocalizationGRASS GIS ( [https:]] ), a software suite for managing and analyzing geospatial data, is used worldwide and therefore needs to be available in many languages. The project uses Weblate, hosted by OSGeo, to manage and facilitate its translation work (see OSGeo-Weblate portal).
Marking messages for translationBefore translation work can begin, the messages to be translated must be marked for translation in the GRASS GIS source code. This is done with the gettext macro _(“…”). GNU gettext is a GNU library for the internationalization of software. Here is a simplified overview of the process:
- Identify the strings to be translated: The developers identify the strings in the source code that need to be translated. These are usually user messages, while debug messages are not marked for translation.
- Use the gettext macro: The identified strings are packed into a gettext macro. For example, a string “Welcome to GRASS GIS” in the source code would be changed to _(“Welcome to GRASS GIS”). This change indicates that the string should be used for translation.
- Extraction and template generation: Tools such as xgettext are used to extract these marked strings from the source code and create a POT (Portable Object Template) file. This file is used as a template for all translations. In the GRASS GIS project the template language is English.
There are three template files in the GRASS GIS project: one with the graphical user interface (GUI) messages, one with the library functions (libs) and one with the modules (mods).
Connecting the software project to WeblateWhile the POT files could be transferred to Weblate manually, we chose the automated option. The OSGeo Weblate instance is directly connected to the GRASS GIS project via git (GitHub) using the Weblate version control integration.
How it works in practice:
- Developer makes a commit to the GRASS GIS repo on GitHub
- A GitHub webhook makes a call to weblate.osgeo.org – note that it has it’s own local git repo for GRASS GIS, as it does for other OSGeo projects, with translations being managed in this Weblate instance. This local git repo is updated when the webhook is fired.
- As messages are translated in OSGeo-Weblate, they are eventually pushed to the Weblate Github fork of GRASS GIS (the push frequency is set to 24 hours by default, i.e., new translations are collected over a day), and Weblate then triggers a pull request to the main GRASS GIS repo on GitHub.
For technical background on the OSGeo Weblate installation, see the related OSGeo-SAC Weblate page.
Translation process in WeblateHere is how the typical translation process looks like:
- Translator registration: Registration (via OSGeo-ID) and login to the Weblate instance.
- Language selection: Select the language to be translated. If a language does not exist yet, it can be added with the approval of the project managers.
- Translation interface: Weblate provides an easy-to-use web interface where translators can view the original texts and enter their translations. If activated, machine translation can also be used here (DeepL, Google Translate, etc.). The Weblate translation memory helps to quickly translate identical and similar sentences.
GRASS GIS messages in Weblate
- Together we are better: translators can discuss translations, resolve conflicts and suggest improvements. Weblate also offers quality checks to ensure consistency and accuracy. Translations in different languages can be compared in tabular form.
Message translation comparison in Weblate (GRASS GIS project example)
- Integration with source code: Once translations are completed and checked, they are written back into the GRASS GIS source code (see above). Weblate supports automatic synchronization with source code repositories.
- Continuous updates: As the source code evolves, new strings can be marked for translation and Weblate is automatically updated to reflect these changes.
Pull request with new translations opened by Weblate in GRASS GIS Github repository
Benefits for the GRASS GIS projectBy using Weblate, GRASS GIS benefits from the following advantages:
- Streamlined translation workflow: The process from tagging strings to integrating translations is efficient and manageable.
- Community engagement: Weblate’s ease of use encourages more community members to participate in the translation process.
- Quality and Consistency: Weblate ensures high quality translations through integrated quality checks and collaboration tools.
- Up-to-date localization: Continuous synchronization with the source code repository ensures that translations are always up-to-date.
The integration of Weblate into the GRASS GIS development workflow underlines the importance of localization in open source software. By using tools such as gettext for message tagging and Weblate for translation management, GRASS GIS ensures that it remains accessible and usable for a global community, embodying the true spirit of open source software.
ThanksThanks to Regina Obe from OSGeo-SAC for her support in setting up and maintaining the OSGeo-Weblate instance and for her explanations of how things work in terms of Weblate/GitHub server communication.
The post Translating Open Source Software with Weblate: A GRASS GIS Case Study appeared first on Markus Neteler | Geospatial Analysis | Remote sensing | GRASS GIS.
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sur Sean Gillies: Wellsville fall colors
Publié: 13 November 2023, 3:01am CET
After crashing out of the Bear, I picked myself up by going for a short hike in the Wellsville Mountains. This range frames Cache Valley on the west side and is covered with bigtooth maple.
The Wellsville Range draped in red maples.
The colors made my jaw drop. I lived in Cache Valley for 10 years and don't remember a better show.
Closeup on pink and red maple leaves.
Dark red chokecherry leaves.
Hobbling through this landscape and seeing the color change as the sunlight fluctuated improved my mood by several hundred percent.
View across a sunlit pasture to red maple covered slopes under a partly stormy sky.
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sur Ian Turton's Blog: Is GeoJSON a spatial data format?
Publié: 11 November 2023, 1:00am CET
Is GeoJSON a good spatial data format?A few days ago on Mastodon Eli Pousson asked:
Can anyone suggest examples of files that can contain location info but aren’t often considered spatial data file formats?
He suggested EXIF, Iván Sánchez Ortega followed up with spreadsheets, and being devilish I said GeoJSON.
This led to more discussion, with people asking why I thought that, so I instead of being flippant I thought about it. This blog post is the result of those thoughts which I thought were kind of obvious but from things people have said since may be aren’t that obvious.
I’ve mostly been a developer for most of my career so my main interest in a spatial data format is that:
- it stores my spatial data as I want it to,
- it’s fast to read and to a lesser extent, write.
- It’s easy to manage.
One, seems to be obvious, if I store a point then ask for it back I want to get that point back (to the limit of the precision of the processor’s floating point). If a format can’t manage that then please don’t use it. This is not common but Excel comes to mind as a program that takes good data and trashes it. If it isn’t changing gene names into dates then it’s reordering the dbf file to destroy your shapefile. GeoJSON also can fail at this as the standard says that I must store the data in WGS:84 (lon/lat), which is fine if that is the format that I store my data in already, but suppose I have some high quality OSGB data that is carefully surveyed to fractions of a millimetre and the underlying code does a conversion to WGS:84 in the background and further the developer wanted to save space and limited the number of decimal places to say 6 (OK, that was me) when it gets converted back to OSGB I’m looking at centimetres (or worse) but given the vagaries of floating point representation I may not be able to tell.
Two, comes from being a GeoServer developer, a largish chunk of the time taken to draw a web map (or stream out a WFS file) is taken up by reading the data from the disk. Much of the rest of the time is converting the data into a form that we can draw. Ideally, we only want to read in the features needed for the map the user has requested (actually, ideally we want to not read in most of the data by having it already be in the cache, but that is hard to do). So we like indexed datasets both spatial indexes and attribute indexes can help substantially speed up map drawing. As the size of spatial datasets increases the time taken to fetch the next feature from the store becomes more and more important. An index allows the program to skip to the correct place in the file for either a specific feature or for features that are in a specific place or contain a certain attribute with the requested value. This is a great time saver, imagine trying to look something up in a big book by using the index compared to paging through it reading each page in turn.
After one or more indexes the main thing I look for in a format is a binary format that is easy to read (and write). GeoJSON (and GML) are both problematic here as they are text formats (which is great in a transfer format) and so for every coordinate of every spatial object the computer has to read in a series of digits (and punctuation) and convert that into an actual binary number that it can understand. This is a slow operation (by computer speeds anyway) and if I have a couple of million points in my coastline file then I don’t want to do 4 million slow operations before I even think of drawing something.
Three, I have to interact with users on a fairly regular basis and in a lot of cases these are not spatial data experts. If a format comes with up to a dozen similarly named files (that are all important) that a GIS will refuse to process unless you guess which is the important one then it is more of a pain than a help. And yes shapefile I’m looking at you. If your process still makes use of Shapefiles please, please stop doing that to your users (and the support team) and switch over to GeoPackages which can store hundreds of data sets inside a single file, All good GIS products can process them by now, they have been an OGC standard for nearly 10 years. If you don’t think that shapefiles are confusing go and ask your support team how often they have been sent just the
.shp
file (or 11 files but not the.sbn
) or how often they have seen people who have deleted all the none.shp
files to save disk space.My other objection to GeoJSON is that I don’t know what the structure (or schema) of the data set is until I have read the entire file. That last record could add several bonus attributes, in fact any (or all) of the records could do that, from a parsers view it is a nightmare. At least GML provides me with a fixed schema and enforces it through out the file.
When I’m storing data (as opposed to transferring it) I use PostGIS, it’s fast and accurate, can store my data in whatever projection I chose and is capable of interfacing with any GIS program I am likely to use, and if I’m writing new code then it provides good, well tested libraries in all the languages I care about so I don’t have to get into the weeds of parsing binary formats. If I fetch a feature from PostGIS it will have exactly the attributes I was expecting no more or less. It has good indexes and a nifty DSL (SQL) that I can use to express my queries that get dealt with by a cool query optimiser that knows way more than I do about how to access data in the database.
If for some reason I need to access my data while I’m travelling or share it with a colleague then I will use a GeoPackage which is a neat little database all packaged up in a single file. It’s not a quick as PostGIS so I wouldn’t use it for millions of records but for most day to day GIS data sets it’s great. You can even store you QGIS styles and project in it to make it a single file project transfer format.
One final point, I sometimes see people preaching that we should go cloud native (and often serverless) by embracing “modern” standards like GeoJSON and COGs. GeoJSON should never be used as a cloud native storage option (unless it’s so small you can read it once and cache it in memory in which case why are you using the cloud) as it is large (yes, I know it compresses well) and slow to parse (and slower still if you compressed it first) and can’t be indexed. So that means you have to copy the whole file from a disk on the far side of a slow internet connection. I don’t care if you have fibre to the door it is still slow compared to the disk in your machine!
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sur KAN T&IT Blog: Simplificá tu Análisis Geoespacial con KICa, el Innovador Plugin de QGIS para acceder a catálogos de Imágenes
Publié: 10 November 2023, 9:04pm CET
Pièce jointe: [télécharger]
KICa, «Kan Imagery Catalog», es un plugin para QGIS. Esta herramienta innovadora simplifica el acceso a catálogos de imágenes satelitales, en un principio, utilizando metodología estándar como es STAC (sigla en inglés de Catálogos de Recursos Espacio- Temporales) el cual es un lenguaje único para el acceso a catálogos de imágenes satelitales de una manera estándar y uniforme. Esto nos permite tener un objetivo agnóstico basado en la posibilidad de centrarnos en la necesidad de resolver nuestro análisis geoespacial sobre una zona y no tener que estar buscando cada uno de los proveedores por separado.
En un principio se incorporan proveedores de imágenes satelitales (gratuitas y comerciales), pero está previsto, en las siguientes versiones, incorporar imágenes de drones, vuelos entre otros recursos que faciliten el análisis geoespacial. Hoy podrán observar que están disponible los proveedores como UP42 o Sentinel Hub, dentro de una región geográfica definida por el usuario.
Con este potente plugin, los usuarios tienen la capacidad de explorar de manera eficiente los catálogos disponibles, así como consultar pisadas (footprints) y vistas rápidas (quicklooks) de las imágenes que se encuentran en su área de interés para estimar su uso sin la necesidad de ser descargada la imagen completa para su análisis.
Así, este plugin se convierte en una herramienta esencial para todos aquellos que trabajan con datos geoespaciales, ya que les proporciona un acceso rápido y sencillo a imágenes satelitales, facilitando tanto el análisis como la visualización de datos. No importa si sos un profesional en el campo de la geoinformación, un científico de datos o un entusiasta de la cartografía; «KICa» enriquecerá tu flujo de trabajo y mejorará tus capacidades de exploración y utilización de imágenes satelitales.
Nuestra solución es de código abierto y colaborativa, por lo que te invitamos a visitar nuestro repositorio donde podrás ver más documentación, reportar bugs y nuevas mejoras, y también contribuir en el código con tus “push request”.
¡Optimizá tus proyectos geoespaciales con esta valiosa herramienta!
#satellite #QGIS #SentinelHub #Copernicus #Sentinel -
sur Free and Open Source GIS Ramblings: Bringing QGIS maps into Jupyter notebooks
Publié: 10 November 2023, 7:03pm CET
Earlier this year, we explored how to use PyQGIS in Juypter notebooks to run QGIS Processing tools from a notebook and visualize the Processing results using GeoPandas plots.
Today, we’ll go a step further and replace the GeoPandas plots with maps rendered by QGIS.
The following script presents a minimum solution to this challenge: initializing a QGIS application, canvas, and project; then loading a GeoJSON and displaying it:
from IPython.display import Image from PyQt5.QtGui import QColor from PyQt5.QtWidgets import QApplication from qgis.core import QgsApplication, QgsVectorLayer, QgsProject, QgsSymbol, \ QgsRendererRange, QgsGraduatedSymbolRenderer, \ QgsArrowSymbolLayer, QgsLineSymbol, QgsSingleSymbolRenderer, \ QgsSymbolLayer, QgsProperty from qgis.gui import QgsMapCanvas app = QApplication([]) qgs = QgsApplication([], False) canvas = QgsMapCanvas() project = QgsProject.instance() vlayer = QgsVectorLayer("./data/traj.geojson", "My trajectory") if not vlayer.isValid(): print("Layer failed to load!") def saveImage(path, show=True): canvas.saveAsImage(path) if show: return Image(path) project.addMapLayer(vlayer) canvas.setExtent(vlayer.extent()) canvas.setLayers([vlayer]) canvas.show() app.exec_() saveImage("my-traj.png")
When this code is executed, it opens a separate window that displays the map canvas. And in this window, we can even pan and zoom to adjust the map. The line color, however, is assigned randomly (like when we open a new layer in QGIS):
To specify a specific color, we can use:
vlayer.renderer().symbol().setColor(QColor("red")) vlayer.triggerRepaint() canvas.show() app.exec_() saveImage("my-traj.png")
But regular lines are boring. We could easily create those with GeoPandas plots.
Things get way more interesting when we use QGIS’ custom symbols and renderers. For example, to draw arrows using a QgsArrowSymbolLayer, we can write:
vlayer.renderer().symbol().appendSymbolLayer(QgsArrowSymbolLayer()) vlayer.triggerRepaint() canvas.show() app.exec_() saveImage("my-traj.png")
We can also create a QgsGraduatedSymbolRenderer:
geom_type = vlayer.geometryType() myRangeList = [] symbol = QgsSymbol.defaultSymbol(geom_type) symbol.setColor(QColor("#3333ff")) myRange = QgsRendererRange(0, 1, symbol, 'Group 1') myRangeList.append(myRange) symbol = QgsSymbol.defaultSymbol(geom_type) symbol.setColor(QColor("#33ff33")) myRange = QgsRendererRange(1, 3, symbol, 'Group 2') myRangeList.append(myRange) myRenderer = QgsGraduatedSymbolRenderer('speed', myRangeList) vlayer.setRenderer(myRenderer) vlayer.triggerRepaint() canvas.show() app.exec_() saveImage("my-traj.png")
And we can combine both QgsGraduatedSymbolRenderer and QgsArrowSymbolLayer:
geom_type = vlayer.geometryType() myRangeList = [] symbol = QgsSymbol.defaultSymbol(geom_type) symbol.appendSymbolLayer(QgsArrowSymbolLayer()) symbol.setColor(QColor("#3333ff")) myRange = QgsRendererRange(0, 1, symbol, 'Group 1') myRangeList.append(myRange) symbol = QgsSymbol.defaultSymbol(geom_type) symbol.appendSymbolLayer(QgsArrowSymbolLayer()) symbol.setColor(QColor("#33ff33")) myRange = QgsRendererRange(1, 3, symbol, 'Group 2') myRangeList.append(myRange) myRenderer = QgsGraduatedSymbolRenderer('speed', myRangeList) vlayer.setRenderer(myRenderer) vlayer.triggerRepaint() canvas.show() app.exec_() saveImage("my-traj.png")
Maybe the most powerful option is to use data-defined symbology. For example, to control line width and color:
renderer = QgsSingleSymbolRenderer(QgsSymbol.defaultSymbol(geom_type)) exp_width = 'scale_linear("speed", 0, 3, 0, 7)' exp_color = "coalesce(ramp_color('Viridis',scale_linear(\"speed\", 0, 3, 0, 1)), '#000000')" # [https:] renderer.symbol().symbolLayer(0).setDataDefinedProperty( QgsSymbolLayer.PropertyStrokeWidth, QgsProperty.fromExpression(exp_width)) renderer.symbol().symbolLayer(0).setDataDefinedProperty( QgsSymbolLayer.PropertyStrokeColor, QgsProperty.fromExpression(exp_color)) renderer.symbol().symbolLayer(0).setDataDefinedProperty( QgsSymbolLayer.PropertyCapStyle, QgsProperty.fromExpression("'round'")) vlayer.setRenderer(renderer) vlayer.triggerRepaint() canvas.show() app.exec_() saveImage("my-traj.png")
Find the full notebook at: [https:]]
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sur Georg Heiler: Introduction to Geostatistics
Publié: 10 November 2023, 1:00am CET
Georg Heiler: Introduction to Geostatistics -
sur GRASS GIS: Apply Now for Student Grants
Publié: 9 November 2023, 9:12am CET
We would like to announce a unique paid opportunity for students to contribute to GRASS GIS! GRASS GIS will offer a number of student grants for projects that include development of GRASS documentation, tests, new features or geospatial tools and bug fixing. Check the suggested topics on the Student Grant wiki. Why to apply? Experience: Gain hands-on experience in a thriving open-source community. Mentorship: Work alongside experienced developers who will guide you throughout your journey. -
sur SIG Libre Uruguay: web gratuito «Asociación con EOS Data Analytics: Ventajas de su red de socios y soporte».
Publié: 7 November 2023, 5:14pm CET
Todo tipo de empresas y organizaciones orientadas a la agricultura están invitadas a asistir al seminario web, así como periodistas, activistas, y ecologistas interesados en la agricultura de precisión. Cuándo: 21 de noviembre Hora: 9 AM CST / 4 PM CET Los ponentes del seminario web serán: Dmytro Svyrydenko, Ejecutivo de cuentas, EOSD?
Pablo Ezequiel Escudero, Socio gerente, Agro Gestión
Esteban Moschin, Consultor de Negocios Independiente, Agro Gestión
Pablo Astudillo, Gerente General, BM Monitoring
Daniel Marulanda, Director General de Tecnología, GeoSatLos ponentes debatirán sobre los siguientes temas: Beneficios del Programa de socios y soporte de EOSDA.
Transformación de la agricultura en Argentina en los últimos 10 años. Cómo cambió en este tiempo el servicio de consultoría agrícola.
La agricultura de precisión en España. Gestores y asesores agrícolas y su rol en la transformación de la agricultura en el país.
El rol de los consultores y asesores agrícolas en Chile. Requisitos principales de los clientes para cubrir todas sus necesidades.
Solución de marca blanca, qué ventajas tiene y proyecto con la FAO. Recomendaciones para los clientes que quieren pasarse a marca blanca.Para obtener más información, presione aquí. Idioma: Español Duración: 1,5 horas. -
sur SIG Libre Uruguay: Tercera edición del curso online gratuito del BID: Cartografía y Geografía Estadística
Publié: 6 November 2023, 6:41pm CET
El curso está dirigido al personal y/o profesionales del mundo de la estadística y de la geografía que estén interesados en conocer cómo se utilizan los mapas para las investigaciones de campo y cuál es el papel que juega la cartografía y las ciencias geográficas como apoyo a la ciencia estadística. No es necesario que se cuente con conocimientos previos muy especializados en manejo de herramientas de Sistemas de Información Geográfica (SIG). Click en la imagen para más información.
-Este curso es auto-regulado y no cuenta con clases o sesiones sincrónicas-
-Este curso no tiene el acompañamiento de un tutor/a-
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sur Free and Open Source GIS Ramblings: Exploring a hierarchical graph-based model for mobility data representation and analysis
Publié: 5 November 2023, 10:17pm CET
Today’s post is a first quick dive into Neo4J (really just getting my toes wet). It’s based on a publicly available Neo4J dump containing mobility data, ship trajectories to be specific. You can find this data and the setup instructions at:
Maryam Maslek ELayam, Cyril Ray, & Christophe Claramunt. (2022). A hierarchical graph-based model for mobility data representation and analysis [Data set]. Zenodo. [https:]
I was made aware of this work since they cited MovingPandas in their paper in Data & Knowledge Engineering: “The implementation combines several open source tools such as Python, MovingPandas library, Uber H3 index, Neo4j graph database management system”
Once set up, this gives us a database with three hierarchical levels:
Neo4j comes with a nice graphical browser that lets us explore the data. We can switch between levels and click on individual node labels to get a quick preview:
Level 2 is a generalization / aggregation of level 1. Expanding the graph of one of the level 2 nodes shows its connection to level 1. For example, the level 2 port node “Audierne” actually refers to two level 1 nodes:
Every “road” level 1 relationship between ports provide information about the ship, its arrival, departure, travel time, and speed. We can see that this two level 1 ports must be pretty close since travel times are only 5 minutes:
Further expanding one of the port level 1 nodes shows its connection to waypoints of level1:
Switching to level 2, we gain access to nodes of type Traj(ectory). Additionally, the road level 2 relationships represent aggregations of the trajectories, for example, here’s a relationship with only one associated trajectory:
There are also some odd relationships, for example, trajectory 43 has two ends and begins relationships and there are also two road relationships referencing this trajectory (with identical information, only differing in their automatic <id>). I’m not yet sure if that is a feature or a bug:
On level 1, we also have access to ship nodes. They are connected to ports and waypoints. However, exploring them visually is challenging. Things look fine at first:
But after a while, once all relationships have loaded, we have it: the MIGHTY BALL OF YARN ™:
I guess this is the point where it becomes necessary to get accustomed to the query language. And no, it’s not SQL, it is Cypher. For example, selecting a specific trajectory with id 0, looks like this:
MATCH (t1 {traj_id: 0}) RETURN t1
But more on this another time.
This post is part of a series. Read more about movement data in GIS.
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sur From GIS to Remote Sensing: Downloading free satellite images using the Semi-Automatic Classification Plugin: the Download product tab
Publié: 5 November 2023, 4:10pm CET
This is part of a series of video tutorials focused on the tools of the Semi-Automatic Classification Plugin (SCP).In this tutorial, the Download products tab is illustrated, which allows for downloading free satellite images such as Landsat and Sentinel-2.You can find more information in the user manual at this link.
Following the video tutorial.
For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.
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sur QGIS Blog: QGIS 3.34 Prizren is released!
Publié: 5 November 2023, 10:07am CET
We are pleased to announce the release of QGIS 3.34 Prizren!
Installers for Windows and Linux are already out. QGIS 3.34 comes with tons of new features, as you can see in our visual changelog. QGIS 3.34 Prizren is named after this year’s FOSS4G host city.
We would like to thank the developers, documenters, testers and all the many folks out there who volunteer their time and effort (or fund people to do so). From the QGIS community we hope you enjoy this release! If you wish to donate time, money or otherwise get involved in making QGIS more awesome, please wander along to qgis.org and lend a hand!
QGIS is supported by donors and sustaining members. A current list of donors who have made financial contributions large and small to the project can be seen on our donors list. If you would like to become a sustaining member, please visit our page for sustaining members for details. Your support helps us fund our six monthly developer meetings, maintain project infrastructure and fund bug fixing efforts.
QGIS is Free software and you are under no obligation to pay anything to use it – in fact we want to encourage people far and wide to use it regardless of what your financial or social status is – we believe empowering people with spatial decision making tools will result in a better society for all of humanity.
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sur SIG Libre Uruguay: Premios Osor: gvSIG seleccionado entre los 6 mejores proyectos Open Source de la Comisión Europea
Publié: 3 November 2023, 6:20pm CET
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sur SIG Libre Uruguay: XIII Jornada Educativa en Teledetección en el Ámbito del Mercosur
Publié: 3 November 2023, 6:15pm CET
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sur gvSIG Batoví: GIS DAY EN FACULTAD DE CIENCIAS FORESTALES (UNIVERSIDAD NACIONAL DE MISIONES)
Publié: 3 November 2023, 4:50pm CET
Con mucho gusto y honor Felipe Sodré Barros (Mgtr. Ecología y Biodiversidad) les hace la invitación a las actividades por el día SIG (GIS Day) organizado por sus alumnos de la Tecnicatura en SIG y Teledetección.
En una de ellas, tendremos la participación de Antoni Pérez Navarro, a quien agradecemos por la participación!
Existe un formulario de inscripción para facilitar la comunicación por si se necesita hacer algún cambio
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sur SIG Libre Uruguay: GIS Day en Facultad de Ciencias Forestales (Universidad Nacional de Misiones)
Publié: 3 November 2023, 4:38pm CET
Con mucho gusto y honor Felipe Sodré Barros (Mgtr. Ecología y Biodiversidad) les hace la invitación a las actividades por el día SIG (GIS Day) organizado por sus alumnos de la Tecnicatura en SIG y Teledetección.
En una de ellas, tendremos la participación de Antoni Pérez Navarro, a quien agradecemos por la participación!
Existe un formulario de inscripción para facilitar la comunicación por si se necesita hacer algún cambio
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sur GeoTools Team: GeoTools 29.3 released
Publié: 31 October 2023, 10:01am CET
The GeoTools team is pleased to announce the release of the latest maintenance version of GeoTools 29.3: geotools-29.3-bin.zip geotools-29.3-doc.zip geotools-29.3-userguide.zip geotools-29.3-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.23.3 and GeoWebCache 1.23.2. We are -
sur Markus Neteler: GRASS GIS 8.3.1 released
Publié: 30 October 2023, 1:47pm CET
What’s new in a nutshellThe GRASS GIS 8.3.1 maintenance release provides more than 60 changes compared to 8.3.0. This new patch release brings in important fixes and improvements in GRASS GIS modules and the graphical user interface (GUI) which stabilizes the new single window layout active by default.
Some of the most relevant changes include: fixes for
r.watershed
which got partially broken in the 8.3.0 release; and a fix for installing addons on MS Windows withg.extension
.Translations continue in Weblate, which automatically creates pull requests with the translated chunks. We’d like to thank the translators of all languages for their ongoing support!
Full list of changes and contributorsFor all 60+ changes, see our detailed announcement with the full list of features and bugs fixed at GitHub / Releases / 8.3.1.
Thanks to all contributors!
Software downloads Binaries/Installers download- Windows
- macOS
- Linux
Further binary packages for other platforms and distributions will follow shortly, please check at software downloads.
Source code downloadFirst time users may explore the first steps tutorial after installation.
About GRASS GIS
The Geographic Resources Analysis Support System ( [https:]] ), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities. It can be used either as a stand-alone application, as backend for other software packages such as QGIS and R, or in the cloud. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
The GRASS Dev Team
The post GRASS GIS 8.3.1 released appeared first on Markus Neteler | Geospatial Analysis | Remote sensing | GRASS GIS.
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sur Oslandia: QField 3.0 release : field mapping app, based on QGIS
Publié: 30 October 2023, 1:03pm CET
We are very happy and enthusiasts at Oslandia to forward the QField 3.0 release announcement, the new major update of this mobile GIS application based on QGIS.
Oslandia is a strategic partner of OPENGIS.ch, the company at the heart of QField development, as well as the QFieldCloud associated SaaS offering. We join OPENGIS.ch to announce all the new features of QField 3.0.
Shipped with many new features and built with the latest generation of Qt’s cross-platform framework, this new chapter marks an important milestone for the most powerful open-source field GIS solution.
Main highlightsUpon launching this new version of QField, users will be greeted by a revamped recent projects list featuring shiny map canvas thumbnails. While this is one of the most obvious UI improvements, countless interface tweaks and harmonization have occurred. From the refreshed dark theme to the further polishing of countless widgets, QField has never looked and felt better.
The top search bar has a new functionality that allows users to look for features within the currently active vector layer by matching any of its attributes against a given search term. Users can also refine their searches by specifying a specific attribute. The new functionality can be triggered by typing the ‘f’ prefix in the search bar followed by a string or number to retrieve a list of matching features. When expanding it, a new list of functionalities appears to help users discover all of the tools available within the search bar.
QField’s tracking has also received some love. A new erroneous distance safeguard setting has been added, which, when enabled, will dictate the tracker not to add a new vertex if the distance between it and the previously added vertex is greater than a user-specified value. This aims at preventing “spikes” of poor position readings during a tracking session. QField is now also capable of resuming a tracking session after being stopped. When resuming, tracking will reuse the last feature used when first starting, allowing sessions interrupted by battery loss or momentary pause to be continued on a single line or polygon geometry.
On the feature form front, QField has gained support for feature form text widgets, a new read-only type introduced in QGIS 3.30, which allows users to create expression-based text labels within complex feature form configurations. In addition, relationship-related form widgets now allow for zooming to children/parent features within the form itself.
To enhance digitizing work in the field, QField now makes it possible to turn snapping on and off through a new snapping button on top of the map canvas when in digitizing mode. When a project has enabled advanced snapping, the dashboard’s legend item now showcases snapping badges, allowing users to toggle snapping for individual vector layers.
In addition, digitizing lines and polygons by using the volume up/down hardware keys on devices such as smartphones is now possible. This can come in handy when digitizing data in harsh conditions where gloves can make it harder to use a touch screen.
While we had to play favorites in describing some of the new functionalities in QField, we’ve barely touched the surface of this feature-packed release. Other major additions include support for Near-Field Communication (NFC) text tag reading and a new geometry editor’s eraser tool to delete part of lines and polygons as you would with a pencil sketch using an eraser.
Thanks to Deutsches Archäologisches Institut, Groupements forestiers Québec, Amsa, and Kanton Luzern for sponsoring these enhancements.
Quality of life improvementsStarting with this new version, the scale bar overlay will now respect projects’ distance measurement units, allowing for scale bars in imperial and nautical units.
QField now offers a rendering quality setting which, at the cost of a slightly reduced visual quality, results in faster rendering speeds and lower memory usage. This can be a lifesaver for older devices having difficulty handling large projects and helps save battery life.
Vector tile layer support has been improved with the automated download of missing fonts and the possibility of toggling label visibility. This pair of changes makes this resolution-independent layer type much more appealing.
On iOS, layouts are now printed by QField as PDF documents instead of images. While this was the case for other platforms, it only became possible on iOS recently after work done by one of our ninjas in QGIS itself.
Many thanks to DB Fahrwgdienste for sponsoring stabilization efforts and fixes during this development cycle.
Qt 6, the latest generation of the cross-platform framework powering QFieldLast but not least, QField 3.0 is now built against Qt 6. This is a significant technological milestone for the project as this means we can fully leverage the latest technological innovations into this cross-platform framework that has been powering QField since day one.
On top of the new possibilities, QField benefited from years of fixes and improvements, including better integration with Android and iOS platforms. In addition, the positioning framework in Qt 6 has been improved with awareness of the newer GNSS constellations that have emerged over the last decade.
Forest-themed release namesForests are critical in climate regulation, biodiversity preservation, and economic sustainability. Beginning with QField 3.0 “Amazonia” and throughout the 3.X’s life cycle, we will choose forest names to underscore the importance of and advocate for global forest conservation.
Software with serviceOPENGIS.ch and Oslandia provides the full range of services around QField and QGIS : training, consulting, adaptation, specific development and core development, maintenance and assistance. Do not hesitate to contact us and detail your needs, we will be happy to collaborate : infos+qfield@oslandia.com
As always, we hope you enjoy this new release. Happy field mapping!
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sur gvSIG Team: 19th International gvSIG Conference: Communication proposals submission is open
Publié: 30 October 2023, 12:59pm CET
The 19th International gvSIG Conference “Connected solutions” will be held on November 29th and 30th, 2023. Within the in-person and online alternation, this year the conferences will be held as online event, which facilitates participation both in terms of presentations/workshops and attendance.
The communication proposals submission is now open, which can be sent to the email address conference-contact@gvsig.com, following the information indicated in the Communications section of the conference website.
As always, registration for the conference will be free of charge, and will be able to be done once the program has been published.
We encourage you to participate!
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sur gvSIG Team: 19as Jornadas Internacionales de gvSIG: abierto el periodo de envío de propuestas de comunicación
Publié: 30 October 2023, 10:20am CET
Los días 29 y 30 de noviembre de 2023 tendrán lugar las 19as Jornadas Internacionales de gvSIG “Soluciones conectadas”. Dentro de la alternancia presencial-online, este año se realizan las jornadas en modalidad online, lo que facilita la participación tanto a nivel de ponencias/talleres como de asistencia.
Ya está abierto el periodo de envío de propuestas de comunicación, que pueden enviarse a la dirección de correo electrónico conference-contact@gvsig.com, siguiendo la información indicada en el apartado «Comunicaciones» de la web de las jornadas.
Como siempre, la inscripción a las jornadas será gratuita, y podrá realizarse una vez publicado el programa de las mismas.
¡Os animamos a participar!
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sur GeoServer Team: GeoServer 2.23.3 Release
Publié: 30 October 2023, 1:00am CET
GeoServer 2.23.3 release is now available with downloads (bin, war, windows), along with docs and extensions.
This is a maintenance release of GeoServer providing existing installations with minor updates and bug fixes. GeoServer 2.23.3 is made in conjunction with GeoTools 29.3, and GeoWebCache 1.23.2.
Thanks to Peter Smythe (AfriGIS) for making this release.
Security PatchesThis release includes security patches from projects that GeoServer depends on and is considered a recommended upgrade for production systems.
- GEOS-11030 Update jetty-server to 9.4.51.v20230217
See project security policy for more information on how security vulnerabilities are managed.
Also, another reminder of the URL check security setting that was introduced to series 2.22.x and 2.23.x (but turned off by default) and is now enabled by default for series 2.24.x. If you are not yet in a position to upgrade to 2.24.0 you may wish to enable the recommended setting already.
Release notesNew Feature:
- GEOS-11000 WPS process to provide elevation profile for a linestring
Improvement:
- GEOS-10856 geoserver monitor plugin - scaling troubles
- GEOS-11081 Add option to disable GetFeatureInfo transforming raster layers
- GEOS-11087 Fix IsolatedCatalogFacade unnecessary performance overhead
- GEOS-11089 Performance penalty adding namespaces while loading catalog
- GEOS-11090 Use Catalog streaming API in WorkspacePage
- GEOS-11099 ElasticSearch DataStore Documentation Update for RESPONSE_BUFFER_LIMIT
- GEOS-11100 Add opacity parameter to the layer definitions in WPS-Download download maps
- GEOS-11102 Allow configuration of the CSV date format
- GEOS-11114 Improve extensibility in Pre-Authentication scenarios
- GEOS-11116 GetMap/GetFeatureInfo with groups and view params can with mismatched layers/params
- GEOS-11120 Create aggregates filterFunction in OSEO to support STAC Datacube extension implementation
- GEOS-11130 Sort parent role dropdown in Add a new role
- GEOS-11142 Add mime type mapping for yaml files
- GEOS-11148 Update response headers for the Resources REST API
- GEOS-11149 Update response headers for the Style Publisher
- GEOS-11153 Improve handling special characters in the WMS OpenLayers Format
- GEOS-11155 Add the X-Content-Type-Options header
Bug:
- GEOS-10452 Use of Active Directory authorisation seems broken since 2.15.2 (LDAP still works)
- GEOS-11032 Unlucky init order with GeoWebCacheExtension gwcFacade before DiskQuotaMonitor
- GEOS-11138 Jetty unable to start cvc-elt.1.a / org.xml.sax.SAXParseException
- GEOS-11140 WPS download can leak image references in the RasterCleaner
- GEOS-11145 The GUI “wait spinner” is not visible any longer
- GEOS-11166 OGC API Maps HTML representation fail without datetime parameter
Task:
- GEOS-10248 WPSInitializer NPE failure during GeoServer reload
- GEOS-11030 Update jetty-server to 9.4.51.v20230217
- GEOS-11084 Update text field css styling to look visually distinct
- GEOS-11091 Upgrade spring-security to 5.7.10
- GEOS-11092 acme-ldap.jar is compiled with Java 8
- GEOS-11094 Bump org.hsqldb:hsqldb:2.7.1 to 2.7.2
- GEOS-11124 Update json dependency to 20230227 in geowebcache-rest
- GEOS-11141 production consideration for logging configuration hardening
For the complete list see 2.23.3 release notes.
About GeoServer 2.23 SeriesAdditional information on GeoServer 2.23 series:
- GeoServer 2.23 User Manual
- Drop Java 8
- GUI CSS Cleanup
- Add the possibility to use fixed values in Capabilities for Dimension metadata
- State of GeoServer 2.23
- GeoServer Feature Frenzy 2023
- GeoServer used in fun and interesting ways
- GeoServer Orientation
Release notes: ( 2.23.3 | 2.23.2 | 2.23.1 | 2.23.0 | 2.23-RC1 )
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sur GeoCat: Cyber Resilience Act
Publié: 26 October 2023, 4:16pm CEST
As a small and medium business operating in Europe GeoCat BV is clearly affected by the forthcoming European Cyber Resilience Act (CRA). We are a proud open source company and are concerned about our friends and partners caught up in the uncertainty around this proposed legislation.
We applaud the goals of the CRA as security is a responsibility GeoCat handles with care on behalf of our customers and products.
GeoCat is proud of the products we offer our customers: GeoCat Live, GeoNetwork Enterprise and GeoServer Enterprise. Each of these products are offered with a clear vendor relationship, an aspect of which is the handling and communication of security vulnerabilities.
Part of the magic of free and open-source is the rich collaborations formed across industry, academia, and government working alongside non-governmental organizations and enthusiasts. We are concerned that the CRA as proposed places undue hardships on these relationships. These relationships form a network of trust, and cannot be reduced to a product relationship.
We encourage regulators to seek expert input at this time. With so much of technology based in free and open-source technology we encourage regulators to look at ways to support security priorities with a deeper understanding.
Dutch regulators are encouraged to read:
- Cyber Resilience Act
- Vrijschrift To Dutch Parliament: Eu Cyber Resilience Act Will Harm Competitiveness (Dutch)
The post Cyber Resilience Act appeared first on GeoCat B.V..
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sur From GIS to Remote Sensing: Semi-Automatic Classification Plugin update: version 8.1
Publié: 26 October 2023, 2:26pm CEST
The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.1 which solves a few bugs and in particular ease the installation of required dependencies.
This update automatically tries to install the required library Remotior Sensus in the plugin directory, if it is not already installed in the QGIS environment, which allows for using the main functions of SCP.However, it is still recommended to follow the installation instructions to download the required dependencies.
Moreover, an alternative Windows installation using the OSGeo4W network installer has been added to the user manual [https:]]
Also, the user manual describes the installation in macOS [https:]]
and Linux [https:]]
With this update the installation should work in most cases.
For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.
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sur gvSIG Team: Osor Awards: gvSIG selected among the top 6 open-source projects by the European Commission
Publié: 26 October 2023, 11:24am CEST
We have reason to celebrate. The gvSIG project, submitted by the Generalitat Valenciana and the gvSIG Association, has been chosen by the Osor Awards jury as one of the top 6 open-source projects. Undoubtedly, this is a recognition of the highest caliber for the work carried out by these institutions and the entire gvSIG community around the project.
About Osor Awards
The European Commission’s Open Source Observatory (OSOR) has organised the EU Public Services Open Source Achievement Awards to honour and showcase the best open source solutions and initiatives created by or for the public administrations in Europe.
As the title of the Awards indicates, the Jury focused on achievements of open source solutions and initiatives: the ambitious goals, determination in overcoming challenges, contribution towards furthering democracy, transparency and active participation of citizens in creating digital infrastructures serving constituents, the impact on their communities, and effective usage of public resources and exceptional response to solving problems.
Award ceremony
The representatives of the top 6 entries and the winner of the OSOR Community Award will be invited to Brussels for the event celebrating 15 years of our Observatory – OSOR Turns 15: From Pioneering to Mainstreaming Open Technologies in Public Services on 21 November 2023.
… We’re going to Brussels!
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sur GRASS GIS: GRASS GIS 8.3.1 released
Publié: 25 October 2023, 5:42pm CEST
What’s new in a nutshell The GRASS GIS 8.3.1 maintenance release provides more than 60 changes compared to 8.3.0. This new patch release brings in important fixes and improvements in GRASS GIS modules and the graphical user interface (GUI) which stabilizes the new single window layout active by default. Some of the most relevant changes include: fixes for r.watershed which got partially broken in the 8.3.0 release; and a fix for installing addons on MS Windows with g. -
sur XYCarto: GRASS GIS, Docker, Makefile
Publié: 25 October 2023, 12:47am CEST
Small example of using Docker and Makefile to implement GRASS GIS. This blog is written to be complimentary to the Github repository found here. Included in this post is a more verbose explanation of what is happening in the Github repository. Users can explore the scripts to see the underlying bits that make it each step. The intention is to help simplify the GRASS set-up and execution of processes using GRASS operations.
TL;DR
GitHub repository is here with the method and documents.
Summary
This is a basic example of setting up scripted GRASS process through a Docker image and using a
makefile
to launch the process. The goal is remove the need to install GRASS on your machine and to fully containerize the process within Docker.It is assumed that users have a familiarity with Docker, Make, and GRASS.
In short, the repo is built to launch a GRASS environment and call a script with the users GRASS commands. Ideally, users should be able to clone the Github repository, build the Docker locally (or pull it), and run a simple
make
command calling the primary script to perform the GRASS operations.Methods in the repository have been tested using Ubuntu and MacOS operating systems.
Important
This method is developed for scripting purposes and not intended for saving data in your GRASS environment. Using this method, each time the script is run the initial operation checks to see if a GRASS environment exists. If so, that environment is destroyed and a new environment is built.
Requirements
make docker
Methods
If you prefer try out the commands given below, you will need to clone the Git repo:
git clone git@github.com:xycarto/grass-docker-make.git
These are the two primary commands to set-up the GRASS, Docker, Make operations. Users will first need to build a Docker containing the GRASS installation. Inside the
makefile
are all the necessary components to find the Dockerfile and build the image. I’ve tagged this build with “xycarto” (see the top of the makefile); however, you can name this whatever you choose.Build GRASS Docker
make docker-local
Run GRASS Script
With the Docker image in place, you can test if the method is working by checking the GRASS version. This
make
command uses two scripts. First, a script is called to construct the GRASS environment and then, call the script with all your GRASS operations. The second script is launched using:grass grass/GRASS_ENV/PERMANENT --exec bash grass-script.sh
The
—exec
indicates the script is run within the GRASS environment giving users access to all the GRASS capabilities.GRASS needs to run within a designated projection. Included in the
make
command is a variable to set this. Users can implement any projection here using the EPSG value. The following is building a GRASS environment in New Zealand Transverse Mercator (NZTM), EPSG:2193:make grass-project proj="2193"
This should output the GRASS version installed in the Docker.
Modifications
Users can implement any GRASS commands and methods in the
run-grass.sh
script, simply by modifying the file.How this can be used
File variables can be given to the GRASS process back in the
make
command and passing this through therun-grass.sh
script. For example, say you have a example.tif file you’d like to process in GRASS. Users can add a variable to the make file calledtif
. It might look like this in the makefile:grass-project: $(RUN) bash run-grass.sh $(proj) $(tif)
The call of the command looks like:
make grass-project proj=“2193" tif=example.tif
Now with the makefile modified, you need to pass the variable through to the GRASS processing. First you need to modify the
run-grass.sh
script to accept the new variable frommake
. This can be done by adding the following line at the top:tif=$2
Where
$2
means the second argument in the command given. Therun-grass.sh
script now has the tif path variable. With this, you can now pass the path to the actual GRASS script by modifying the last line like so:grass grass/GRASS_ENV/PERMANENT --exec bash grass-script.sh $tif
The
grass-script.sh
can now be modified to accept thetif
variable by adding the following line at the top:tif=$1
Once you get this all set up an running, the real power comes now in a scripted method run a large collection of tifs through a GRASS process.
Let’s say you have 1000 tifs that need to run. You can list these tifs and simply develop a method like the the following:
cat list-of-tifs.txt | xargs -P 1 -t -I % make grass-project proj=“2193" tif=%
This method would sequentially process the tif list through your GRASS process.
Having a hard time following? Please feel free to contact me and I’ll see if I can help.
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sur Marco Bernasocchi: QField 3.0 “Amazonia” is here – Feature-packed and super slick.
Publié: 24 October 2023, 3:20pm CEST
Pièce jointe: [télécharger]
We’re so excited and proud of this latest QField version that we’ve opted for a major 3.0 version update.
Get it nowShipped with many new features and built with the latest generation of Qt’s cross-platform framework, this new chapter marks an important milestone for the most powerful open-source field GIS solution.
Main highlights
Upon launching this new version of QField, users will be greeted by a revamped recent projects list featuring shiny map canvas thumbnails. While this is one of the most obvious UI improvements, countless interface tweaks and harmonization have occurred. From the refreshed dark theme to the further polishing of countless widgets, QField has never looked and felt better.
The top search bar has a new functionality that allows users to look for features within the currently active vector layer by matching any of its attributes against a given search term. Users can also refine their searches by specifying a specific attribute. The new functionality can be triggered by typing the ‘f’ prefix in the search bar followed by a string or number to retrieve a list of matching features. When expanding it, a new list of functionalities appears to help users discover all of the tools available within the search bar.
QField’s tracking has also received some love. A new erroneous distance safeguard setting has been added, which, when enabled, will dictate the tracker not to add a new vertex if the distance between it and the previously added vertex is greater than a user-specified value. This aims at preventing “spikes” of poor position readings during a tracking session. QField is now also capable of resuming a tracking session after being stopped. When resuming, tracking will reuse the last feature used when first starting, allowing sessions interrupted by battery loss or momentary pause to be continued on a single line or polygon geometry.
On the feature form front, QField has gained support for feature form text widgets, a new read-only type introduced in QGIS 3.30, which allows users to create expression-based text labels within complex feature form configurations. In addition, relationship-related form widgets now allow for zooming to children/parent features within the form itself.
To enhance digitizing work in the field, QField now makes it possible to turn snapping on and off through a new snapping button on top of the map canvas when in digitizing mode. When a project has enabled advanced snapping, the dashboard’s legend item now showcases snapping badges, allowing users to toggle snapping for individual vector layers.
In addition, digitising lines and polygons by using the volume up/down hardware keys on devices such as smartphones is now possible. This can come in handy when digitizing data in harsh conditions where gloves can make it harder to use a touch screen.
While we had to play favourites in describing some of the new functionalities in QField, we’ve barely touched the surface of this feature-packed release. Other major additions include support for Near-Field Communication (NFC) text tag reading and a new geometry editor’s eraser tool to delete part of lines and polygons as you would with a pencil sketch using an eraser.
Thanks to Deutsches Archäologisches Institut, Groupements forestiers Québec, Amsa, and Kanton Luzern for sponsoring these enhancements.
Quality of life improvementsStarting with this new version, the scale bar overlay will now respect projects’ distance measurement units, allowing for scale bars in imperial and nautical units.
QField now offers a rendering quality setting which, at the cost of a slightly reduced visual quality, results in faster rendering speeds and lower memory usage. This can be a lifesaver for older devices having difficulty handling large projects and helps save battery life.
Vector tile layer support has been improved with the automated download of missing fonts and the possibility of toggling label visibility. This pair of changes makes this resolution-independent layer type much more appealing.
On iOS, layouts are now printed by QField as PDF documents instead of images. While this was the case for other platforms, it only became possible on iOS recently after work done by one of our ninjas in QGIS itself.
Many thanks to DB Fahrwgdienste for sponsoring stabilization efforts and fixes during this development cycle.
Qt 6, the latest generation of the cross-platform framework powering QFieldLast but not least, QField 3.0 is now built against Qt 6. This is a significant technological milestone for the project as this means we can fully leverage the latest technological innovations into this cross-platform framework that has been powering QField since day one.
On top of the new possibilities, QField benefited from years of fixes and improvements, including better integration with Android and iOS platforms. In addition, the positioning framework in Qt 6 has been improved with awareness of the newer GNSS constellations that have emerged over the last decade.
Forest-themed release namesForests are critical in climate regulation, biodiversity preservation, and economic sustainability. Beginning with QField 3.0 “Amazonia” and throughout the 3.X’s life cycle, we will choose forest names to underscore the importance of and advocate for global forest conservation.
As always, we hope you enjoy this new release. Happy field mapping!
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sur KAN T&IT Blog: Trabajo en conjunto con el INEC de Costa Rica
Publié: 23 October 2023, 9:51pm CEST
Estamos felices de anunciarles que desde Kan vamos a trabajar codo a codo con el Instituto Nacional de Estadística y Censos de Costa Rica (inec.cr).
Con la adopción del Marco Geoespacial y Estadístico Global (GSGF) propuesto por la ONU en América Latina y el Caribe a través de la Comisión Económica para América Latina y el Caribe (CEPAL), pondremos en marcha un conjunto de componentes tecnológicos específicos, incluyendo un gestor estadístico, un gestor de datos geoespaciales, APIs con posibilidad de consumir información de diferentes aplicaciones y un geoportal para visualizar, navegar y comparar la información estadística de este país.Al mismo tiempo, implementaremos componentes ya existentes en la comunidad como Kobo Toolbox, GeoNode, Airflow, MapLibre, Nominatim y Metabase para ofrecer una solución integral que abarque desde la recopilación de datos en terreno hasta la publicación de la información.
Esta plataforma será una valiosa herramienta tanto para gobiernos, investigadores, empresas como para cualquier persona interesada en obtener información actualizada y confiable sobre la región.
A medida de que vayamos avanzando, les contaremos más sobre este proyecto que nos tiene muy entusiasmados.