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14 December 2023
17:00
Paul Ramsey: How to Become a CEO
sur Planet OSGeo
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 Climber
By 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 Hire
One 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.
The Well Connected
This is an interesting third category, which is difficult to join, but is very much real – knowing people who will elevate you early on.
- 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.
- 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.

11:00
The Historical Movie Map
sur Google Maps Mania

Some of the greatest movies of all time are based on real historical events. Ever since the invention of cinema in the late 19th Century history has proven to be an endless source of inspiration for directors and writers of films. From ancient epics to more contemporary dramas, the past has provided filmmakers with a wealth of stories to tell, characters to explore, and historical settings to

13 December 2023
22:45
Free and Open Source GIS Ramblings: Hi ‘Geocomputation with Python’
sur Planet OSGeo

Today, I want to point out a blog post over at

[https:]]

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:]]

10:35
Racial Profiling in Redlining Maps
sur Google Maps Mania

The University of Richmond has released a large update to its amazing Mapping Inequality project. This update includes introductions to the redlining maps produced for around 80 cities, written by scholars and historians and the addition of around 100 new cities to the project.Under President Franklin D. Roosevelt's New Deal black homeowners were discriminated against by redlining maps. These

12 December 2023
17:00
Paul Ramsey: Keynote @ FOSS4G NA 2023
sur Planet OSGeo
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.

9:57
Night Train to Europe
sur Google Maps Mania

Last night at 8.18pm the night train to Paris left Berlin Central Station. It was the first Berlin-Paris night train in over 9 years. The new Nightjet service between the German and French capitals is yet more evidence of the resurgence of overnight rail travel in Europe. At the beginning of the 21st Century night train services in Europe were being closed at an alarming rate, thanks

9:35
gvSIG Team: gvSIG Batoví 2023, éxitos de llevar la geomática a la educación secundaria
sur Planet OSGeo

Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica: cierre
11 December 2023
17:53
gvSIG Batoví: Curso–Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica: cierre
sur Planet OSGeo
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:
- espacio dentro del Portal Ceibal
- blog del proyecto dentro de Ceibal
- lista de correo
- 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.

10:23
The Carbon Bomb Map
sur Google Maps Mania

A 'Carbon bomb' is a large-scale fossil fuel extraction project that has the potential to release massive amounts of carbon dioxide into the atmosphere, thereby significantly contributing to climate change. These massively environmentally damaging projects usually involve the exploitation of oil reserves, coal mines, or natural gas fields. There are currently 425 fossil fuel extraction projects

10 December 2023
15:12
From GIS to Remote Sensing: Semi-Automatic Classification Plugin major update: version 8.2.0
sur Planet OSGeo

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 »
09 December 2023

22:33

Free and Open Source GIS Ramblings: Mapping relationships between Neo4j spatial nodes with GeoPandas

sur Planet OSGeo

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:]]

10:32
Discover Your Neighborhood Tree Score
sur Google Maps Mania

The Woodland Trust has released a new interactive map which reveals the amount of tree canopy cover available in thousands of UK neighborhoods. Using the map you can discover the 'tree equity score' of Lower Layer Super Output Area (LSOA) in England, Scotland, Wales and Northern Ireland. If you click on your neighborhood on the Tree Equity Score UK map you can discover its 'tree equity score',

08 December 2023
17:42
From GIS to Remote Sensing: Semi-Automatic Classification Plugin update: version 8.1.7
sur Planet OSGeo

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 »

10:51
Making Animated Map GIFs
sur Google Maps Mania

This morning I have been having a lot of fun playing with Darren Wien's new Fly To tool for making animated map GIF's. Using the new Fly To wizard you can easily make your own map fly-thru animations simply by pointing to a starting and ending location on an interactive map. The tool is a great way to create map fly-thru GIFs to illustrate news stories or to enhance blog or social media

07 December 2023
19:18
GeoSolutions: DoDIIS 2023 Portland, OR – GeoSolutions USA, Innovation, and Emerging Technology
sur Planet OSGeo

You must be logged into the site to view this content.

11:25
Is Light Pollution Getting Better?
sur Google Maps Mania

David J. Lorenz's Light Pollution Atlas 2006, 2016, 2020 includes global light pollution layers for three different years. It also includes a layer which shows where light pollution around the world has become better or worse during 2014-2020.This 2014-2020 light pollution trend layer shows that light pollution in most of the UK and France and in the eastern U.S. significantly reduced from

3:58
BostonGIS: PostGIS Day 2023 Summary
sur Planet OSGeo

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"
06 December 2023
19:50
GeoTools Team: State of GeoTools 30.1
sur Planet OSGeo

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.

11:49
The Origin of Country Names
sur Google Maps Mania

Did you know that Australia got its name from the Latin australis' meaning 'southern', or that Spain derives its name from a small rodent ('España' coming from 'I-Shpania', meaning "island of hyraxes")? Thanks to a new interactive map from Le Monde you can now discover the origin of every country's name in the world. If you hover over a country on the map in the article Discover the origin
05 December 2023
10:20
Historical Sanborn Maps of America
sur Google Maps Mania

From 1866 to 1977 the Sanborn Map Company produced very accurate individual building level maps of U.S. cities and towns. The Sanborn maps provided detailed information about individual city buildings in order to enable fire insurance companies to accurately calculate fire risk. In the 1960s Fire Insurance companies stopped using maps to underwrite fire risk meaning that there was no need to

1:00
Camptocamp: Innovations and Standards in Geospatial
sur Planet OSGeo

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.
04 December 2023
12:36
Jorge Sanz: MSF Mapathon at Universitat de València
sur Planet OSGeo

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.
12:36
Jorge Sanz: MSF Mapathon at Universitat de València
sur Planet OSGeo

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.
11:30
Jackie Ng: Announcing: mapguide-rest 1.0 RC6
sur Planet OSGeo
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)
Besides being compatible with the upcoming MapGuide Open Source release (and the current stable one), this release also adds a new series of APIs to perform various geo-processing tasks. All of which are available to try out in the interactive swagger API reference.

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.

10:12
Global Heating
sur Google Maps Mania

In 2023 the Earth's global temperature was 1.05°C warmer than normal. This is extremely alarming as we are quickly approaching what many environmental scientists believe will be the tipping point for global heating. The Intergovernmental Panel on Climate Change (IPCC) has identified 1.5 degrees Celsius of warming above pre-industrial levels as a critical threshold. Beyond this point, the risks

1:00
MapTiler: GeoCamp ES 2023
sur Planet OSGeo

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.
1:00
MapTiler: GeoCamp ES 2023
sur Planet OSGeo

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.
03 December 2023
15:50
From GIS to Remote Sensing: Tutorial: Using Remotior Sensus in Copernicus JupyterLab
sur Planet OSGeo
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
All the above steps are performed in the cloud. The classification output is saved in a persistent storage with 10GB of space and can be downloaded later. Read more »
14:31
Free and Open Source GIS Ramblings: Mapping Neo4j spatial nodes with GeoPandas
sur Planet OSGeo
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.
0:19
Sean Gillies: 2024 Bear 100 registration
sur Planet OSGeo

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
02 December 2023
15:54
From GIS to Remote Sensing: Tutorial: Random Forest Classification Using Remotior Sensus
sur Planet OSGeo
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:
1. Create a BandSet using an image
2. Load a training input
3. Perform the random forest classification
Read more »

11:44

QGIS Blog: Plugin Update Sept-Nov 2023

sur Planet OSGeo

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

Run external Python files inside QGIS.

?????? ??????? ???????? ??? ?????????? ????

FilterMate is a Qgis plugin, a daily companion that allows you to easily explore, filter and export vector data

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.

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

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.

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

Manage your GisCarta data

To list up and download point cloud data such as “VIRTUAL SHIZUOKA”

Plugin de Qgis para la evaluación de calidad en el proceso de captura y mantenimiento de datos conformes con el modelo LADM-COL

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

A QGIS plugin for viewshed analysis in drone mission planning

Make Lite version of OpenGIS – open source webgis

Quick Shape Update

Automatic update of the shapes length and/or area in the selected layer

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 is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment.

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

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!

A QGIS plugin to manage CROCO projectsqcrocoflow

This plugin brings tools that allow processing of data using fuzzy set theory and possibility theory.

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.

Automatic waterfalls detector

Plugin zur XPlanung-konformen Erfassung und Verwaltung von Bauleitplänen

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).

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.

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.

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.

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 ?? ??????????? ???????.

Plugin designed to estimate hydropower generation.

Collaborative functions for interaction with remote users.

digitizer

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

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®.

Used to facilitate the editing of features with lifespan information

This plugin computes biophysical indices

Japanese Grid Mesh

Create common grid squares used in Japan. ???????????????????????????????????????????????????????????????????CSV????????????????????????????????????????

Upload, load and display your immersive views hosted on a Panoramax instance.

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.

An Open-source HLZ Identification Processing Plugin

Selection as Filter

This plugin makes filter for the selected features

10:06
Sea Level Rise Maps
sur Google Maps Mania

Darren Wiens' new Sea Level Rise Simulation map shows how rising sea levels might effect coastlines around the world. Using the simulator you can adjust the height of the sea around the world to see what level of global heating will turn your town into the next Atlantis.Darren's map uses AWS Terrain Tiles with Mapbox GL's raster-value expression to visualize global sea levels. In very simple
01 December 2023
10:21
The Live Music Mapping Project
sur Google Maps Mania

The combination of the Covid epidemic, inner-city gentrification and austerity has had a hugely negative impact on live music venues and the live music networks of many cities. The Live Music Mapping Project has been launched to help overcome these challenges by creating detailed maps of the local live ecosystem in individual cities. Currently the project has released interactive maps for seven

30 November 2023
18:39
How OGC Contributes to FAIR Geospatial Data
sur Open Geospatial Consortium (OGC)

Standards are a key element of the FAIR Principles of Findability, Accessibility, Interoperability, and Reusability. As such, the Open Geospatial Consortium (OGC) has been supporting the FAIR Principles for geospatial information since its formation 30 years ago.

Following the more recent codification of the FAIR principles, the growing recognition of their potential to improve data production, storage, exchange, and processing is seeing them being used to support and enhance recent technological developments such as artificial intelligence, crowdsourcing, data spaces, digital twins, cloud computing, and beyond. This blog post, therefore, offers an overview of select OGC standards and components that support FAIRness in geospatial data.

Within the whole OGC Standards suite, we can broadly distinguish two types of Standards: data format and transfer standards that facilitate data exchange between systems; and semantic interoperability standards that support a common understanding of the meaning of data. For example, OGC Standards that define interoperable geometrical information formats, such as 3D Tiles, GML, GeoPackage, GeoTiff, or KML, support FAIRness by facilitating data Access and Reuse.
Communication Standards
Starting with OGC Web Map Service (WMS) 1.0 in 2000, the suite of OGC Web Services Standards grew to become OGC’s most popular and successful suite of Standards. Services that implement OGC Web Services Standards give access to different kinds of data through the web. Most OGC Web Services provide instructions on how to post a message or build a query URL that gives access to the data behind the service. The URL contains an action to perform and parameters to modify the action and specify the form of the result.

While perfectly functional, the OGC Web Services Standards do not completely follow modern practices on the Web. In particular they do not focus on resources but on operations. To correct that issue, the OGC is evolving the OGC Web Services into the OGC APIs – open web APIs that define resources and use HTTP methods to retrieve them. OGC APIs have diverse functionalities, as explained below.
Communication Standards for Finding Data
The Catalog Service for the Web (CSW) is an OGC Web Service that provides the capacity to query a collection of metadata and find the data or the services that the user requires. Deploying a CSW (e.g. a GeoNetwork instance) is a way to comply with the FAIR sub-principle “F4. (Meta)data are registered or indexed in a searchable resource.” CSW is compatible with Dublin Core and ISO 19115 metadata documents. An interesting characteristic of the GeoNetwork is its capability to store attachments to the metadata. This provides a way to store the actual data as an attachment and link it to the distribution section of an ISO 19115. This ensures not only Findability of the metadata but also Findability of the data. In the Open Earth Monitor (OEMC) project, CSW can be effectively used to store metadata about the in-situ data and some of the results of the pilots, making them Findable on the web. The original Remote Sensing data is offered through a SpatioTemporal Asset Catalog (STAC).

The OGC API – Records Standard is an alternative to CSW that uses the aforementioned resource-oriented architecture. It gives a URL to each and every metadata/data record stored in the catalog, making it compliant with the FAIR sub-principle “F1. (Meta)data are assigned a globally unique and persistent identifier.” The OGC API – Records Standard is still in its draft phase and the authors are making efforts to exploit STAC good practices and make the two compatible.

For flexibility, in the CSW and OGC API – Records Standards, a metadata record is not obligatory, though it is desirable in many cases. This is useful for improved findability, but also for preservation purposes when the dataset may no longer be available. This ensures compatibility with the FAIR sub-principle “A2. Metadata are accessible, even when the data are no longer available.”
Communication Standards for Accessing Data
The OGC Web Feature Service (WFS) and the Web Coverage Service (WCS) give access to feature or coverage data independently of the data’s data model or schema. Implementations of these services are based on Open Standards that can be implemented for free. This complies with the FAIR sub-principle “A1.1 The protocol is open, free, and universally implementable.” It is possible to get the whole resource or a subset of it based on spatial or thematic queries. However, these services are based on a service-oriented architecture and do not necessarily provide a URI for each resource.

The newer OGC API – Features and OGC API – Coverages Standards, though, provide similar functionality with a resource-oriented architecture. They provide a URI for each resource they expose. This makes the OGC API Standards, as well as the SensorThings API, compliant to the FAIR sub-principle “A1. (Meta)data are retrievable by their identifier using a standardized communications protocol.” OGC Web Services and OGC APIs both use the HTTP protocol over the Internet and can make use of the current standards and practices for authentication and authorization, such as OpenID Connect.

However, the resource-oriented architecture of the OGC API Standards means they are better positioned to adopt best practices for authentication and authorization. In this paradigm, authorization on geospatial resources can be fine-tuned for each resource URI in the same way as any other resource on the Web. As such, OGC API – Features, OGC API – Coverages, and The Sensor Things API comply with the FAIR sub-principle “A1.2 The protocol allows for an authentication and authorization procedure, where necessary.”
Semantic Interoperability Standards The OGC RAINBOW
To better support the “Interoperable” FAIR principle as it applies semantic interoperability, OGC is implementing the OGC RAINBOW (formerly the OGC Definitions Server) as a Web accessible source of information about concepts and vocabularies that OGC defines or that communities ask the OGC to host on their behalf. It applies FAIR principles to the key concepts that underpin interoperability in systems using OGC specifications.

The OGC Registry for Accessible Identifiers of Names and Basic Ontologies for the Web (RAINBOW) is a linked-data server, published and maintained by OGC, used to manage and publish reference vocabularies, standard definitions with profiles, ontologies, and resources. It is intended to be a node in an interoperable ecosystem of resources published by different communities. It supports a wide spectrum of resources and allows more value to be realized from data. It can be accessed at opengis.net/def.

OGC RAINBOW is implemented using Linked Data principles that provide enhanced findability, making it compliant with the FAIR sub-principles “F1. (Meta)data are assigned a globally unique and persistent identifier” and “F4: (Meta)data are registered or indexed in a searchable resource.” It is accessed using the HTTP protocols over the Internet, so is also compliant with “A1. (Meta)data are retrievable by their identifier using a standardised communication protocol” and “A1.1 The protocol is open, free, and universally implementable.”

The set of concepts stored in the RAINBOW or in other vocabularies can be used by data and metadata to comply with the FAIR sub-principles “I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation” and “I2. (Meta)data use vocabularies that follow FAIR principles.”
The OGC SensorThings API
The OGC SensorThings API is an open and free standard that complies to the FAIR sub-principle “A1.1 The protocol is open, free, and universally implementable.” It incorporates a data model that includes two properties that allow for linking to URLs for “units of measurement” and “observed properties” (e.g. references to variable definitions) that makes it compliant with the FAIR sub-principle “I2. (Meta)data use vocabularies that follow FAIR principles.” However, other services and APIs, such as OGC API – Features and OGC API – Coverages, do not specify how this could be done in practice, so more work needs to be done in that respect.

On the other hand, the new OGC APIs use link mechanisms to connect datasets, resources, and resource collections to other resources for different purposes, making them compliant with the FAIR sub-principle “I3 (Meta)data include qualified references to other (meta)data.”

Similarly, the new OGC SensorThings API plus (STAplus) Standard includes an additional element called “Relation” that allows for relating an observation to other internal or external observations. It also adds an element called “License” associated with the datastream or observation group that complies with the FAIR sub-principle “R1.1. (Meta)data are released with a clear and accessible data usage license.” Further, the STA data model can be extended to domain-specific areas by subclassing some of the entities, such as “Thing” and “Observation,” allowing it to meet the FAIR sub-principle “R1.3. (Meta)data meet domain-relevant community standards.”

STAplus includes many considerations for secure operations and can support authentication and authorization through the implementation of business logic, making it compliant with the FAIR sub-principle “A1.2. The protocol allows for an authentication and authorization procedure where necessary.”
Other Standard Thematic Data Models
OGC also offers Standards that define thematic data models and knowledge representations. For example, WaterML is an information model for the representation of water observations data. In addition, PipelineML defines concepts supporting the interoperable interchange of data pertaining to oil and gas pipeline systems. The PipelineML Core addresses two critical business use-cases that are specific to the pipeline industry: new construction surveys and pipeline rehabilitation.

Another example is the Land and Infrastructure Conceptual Model (LandInfra) for land and civil engineering infrastructure facilities. Subject areas include facilities, projects, alignment, road, railway, survey, land features, land division, and “wet” infrastructure (storm drainage, wastewater, and water distribution systems). CityGML is intended to represent city objects in 3D city models. The (upcoming) Model for Underground Data Definition and Integration (MUDDI) represents information about underground utilities. IndoorGML offers a data model to represent indoor building features. Finally, GeoSciML is a model of geological features commonly described and portrayed in geological maps, cross sections, geological reports and databases. This standard describes a logical model for the exchange of geological map data, geological time scales, boreholes, and metadata for laboratory analyses.

The existence of these Standards can help each thematic sector to comply with the FAIR Interoperability sub-principle “I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.” As well as these standards, connecting their vocabularies to information systems or databases would significantly increase their usefulness and encourage the principle of Reusability “R1.(Meta)data are richly described with a plurality of accurate and relevant attributes” and sub-principle “R1.3 (Meta)data meet domain-relevant community standards.”
FAIR in Everything We Do
OGC’s Mission, to “Make location information Findable, Accessible, Interoperable, and Reusable (FAIR),” places the FAIR Principles at the heart of everything we do. This post has shown how OGC Standards explicitly address the FAIR Principles to contribute to FAIR geospatial data.

The Standards shown here were chosen due to their popularity and utility, but represent only a small portion of what’s available from OGC. You can see the full suite of OGC Standards at ogc.org/standards.

For more detailed information on OGC API Standards, including developer resources, news of upcoming code sprints, or to learn how the family of OGC API Standards work together to provide modular “building blocks for location” that address both simple and the most complex use-cases, visit ogcapi.org.

The post How OGC Contributes to FAIR Geospatial Data appeared first on Open Geospatial Consortium.

10:24
The Most Popular Music in Your Town
sur Google Maps Mania

SZA's Kill Bill was the most listened to song in New York and San Francisco this year. In Denver and New Orleans the most listened to song was Morgan Wallen's Last Night. While Eslabon Armado y Peso Pluma's Ella Baila Sola was the most popular tune in Los Angeles, Houston and San Diego.Spotify has released a new interactive map which reveals the most listened to songs in cities around the world

1:00
GeoServer Team: GeoServer installation methods on Windows
sur Planet OSGeo
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.

Introduction
GeoServer 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
Windows installer
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.
Uninstallation
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
Web Archive
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.
Uninstallation
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.

29 November 2023
11:34
Locking Up Louisiana
sur Google Maps Mania

The state of Louisiana likes putting its citizens in jail. Nearly 1 in every 100 Louisiana residents are locked up in a state prison or local jail. The reasons for Louisiana's high incarceration rates are simple. It isn't because Louisiana is full of criminals. It is because of racism and the profits to be made from enforced slave labor.I arrived at this conclusion after reading the Vera

11:03
Marco Bernasocchi: New QGIS Courses dates for 2024
sur Planet OSGeo
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
28 November 2023
18:57
Free and Open Source GIS Ramblings: Analyzing mobility hotspots with MovingPandas & CARTO
sur Planet OSGeo

Today, I want to point out a blog post over at

[https:]]

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.
15:47
gvSIG Team: Free workshop on ‘Introduction to gvSIG,’ using version 2.6 and its new icon set at 19th gvSIG Conference
sur Planet OSGeo

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’

1:30
The Live Amtrak Train Map
sur Google Maps Mania

Trains.fyi is a live interactive map which shows the real-time locations of passenger trains in the U.S. and Canada. The map uses colored markers to show the near real-time positions of trains from a number of different train companies in North America. The arrow on the markers show a train's direction of travel and the colors indicate the transit operators of individual trains. If you

1:06
GeoTools Team: GeoTools 30.1 released
sur Planet OSGeo

 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
27 November 2023
22:31
Free and Open Source GIS Ramblings: Setting up a graph db using GTFS data & Neo4J
sur Planet OSGeo
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.
18:49
gvSIG Team: Taller gratuito sobre “Introducción a gvSIG”, con la versión 2.6 y su nuevo juego de iconos en las 19as Jornadas gvSIG
sur Planet OSGeo

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”

9:20
The World as 1000 People
sur Google Maps Mania

If the world's population was proportionally represented as 1,000 people then 591 of those people would live in Asia, 185 would live in Africa, 91 in Europe, 75 would live in North America, 55 in South America and the remaining 5 people would live in Oceania. The Visual Capitalist has mapped The World's Population as 1,000 People. On the map each marker (shaped as a human figure)

1:00
GeoServer Team: GeoServer 2.24.1 Release
sur Planet OSGeo
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 notes
Improvement:
- 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 improvements
Two 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 Series
Additional information on GeoServer 2.24 series:
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.

25 November 2023
10:37
The World's Largest Snow Dome
sur Google Maps Mania

This morning I discovered MapTheClouds, which features a whole host of impressive interactive map visuals. I'm sure a lot of the maps featured on MapTheClouds are very useful but as ever I'm drawn to the fun, experimental maps, to the maps that apparently serve no other purpose than they were fun to create and are even more fun to play with.Here are a few links to my personal favorites, but check

24 November 2023
18:47
KAN T&IT Blog: Destacada participación de Julia Martinuzzi y Walter Shilman en el Side Event de UN-GGIM Américas
sur Planet OSGeo

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-EN Descarga

9:30
Global Sentiment Towards Israel & Palestine
sur Google Maps Mania

The interactive map Israel-Palestine Media Bias visualizes the results of a sentiment analysis of mostly English language media and social media websites to determine whether they have a predominately Israeli or Palestinian bias.Using the map you can explore the Israel/Palestine sentiment bias expressed by the media in individual countries, on different platforms and by the percentage of a

15:00
OGC Compliance Certification now available for the GeoPose 1.0 Data Exchange Standard
sur Open Geospatial Consortium (OGC)
The Open Geospatial Consortium (OGC) is excited to announce that the Executable Test Suite (ETS) for version 1.0 of the OGC GeoPose Data Exchange Standard has been approved by the OGC Membership. Products that implement OGC GeoPose 1.0 and pass the tests in the ETS can now be certified as OGC Compliant.

The OGC Compliance Program offers a certification process that ensures organizations’ solutions are compliant with OGC Standards. It is a universal credential that allows agencies, industry, and academia to better integrate their solutions. OGC Compliance provides confidence that a product will seamlessly integrate with other compliant solutions regardless of the vendor that created them.

Implementers of the GeoPose 1.0 Data Exchange Standard are invited to validate their products using the new test suite in the OGC validator tool. Testing involves submitting an OGC GeoPose 1.0 document produced by the product being assessed. These tests typically take only 5-10 minutes to complete. Once a product has passed the test, the implementer can apply to use the ‘OGC Compliant’ trademark on their product.

OGC GeoPose is a free and open Implementation Standard for exchanging the location and orientation of real or virtual geometric objects (“Poses”) within reference frames anchored to Earth’s surface (“Geo”) or within other astronomical coordinate systems. The Standard specifies a JavaScript Object Notation (JSON) encoding for representing conformant poses.

The GeoPose Standard specifies a number of conformance classes, most being optional. One conformance class is defined for each corresponding set of Structural Data Units (SDUs), where each SDU is linked to the Logical Model as an alias for a class or attribute. The following conformance classes from the OGC GeoPose 1.0 Data Exchange Standard (OGC 21-056r11) are supported by the ETS:
- Basic-YPR (Yaw-Pitch-Roll) SDU JSON
- Basic-Quaternion SDU JSON – Permissive
- Advanced SDU JSON
- Graph SDU JSON
- Chain SDU JSON
- Regular Series SDU JSON
- Stream SDU JSON
Some of the products implementing the GeoPose Standard that have already been certified as OGC Compliant include Away Team Software’s 3D Compass 1, OpenSitePlan’s SolarPose 1.0, and Ethar Inc.’s GeoPose C# Library 1.0. These products apply GeoPose in a wide variety of applications, such as Augmented Reality (AR), mobile Location Based Services (LBS), web APIs, and more. To implement GeoPose in your product, please refer to the OGC GeoPose 1.0 Data Exchange Standard document, freely available from OGC. Additional documentation is also available on the GeoPose website.

More information about the OGC compliance process, and how it can benefit your organization, is available at ogc.org/compliance. Implementers of the OGC GeoPose 1.0 Data Exchange Standard – or other OGC Standards – can validate their products now using the OGC Validator Tool.

The post OGC Compliance Certification now available for the GeoPose 1.0 Data Exchange Standard appeared first on Open Geospatial Consortium.

11:25
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
sur Planet OSGeo

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.
9:24
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
sur Planet OSGeo

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.

8:22
America is a Jigsaw
sur Google Maps Mania

If you want a little Thanksgiving fun today then you should play TripGeo's State Locator game. State Locator is an interactive map of the United States. A map which you have to assemble yourself based on the shapes of the individual states and a few image clues.At the beginning of the game you are presented with a random state. Your job is to place this state onto a blank map of the United

22 November 2023
10:18
gvSIG Team: Program of 19th International gvSIG Conference (online) is now available, and registration (free of charge) period is open
sur Planet OSGeo

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!
10:09
gvSIG Team: Programa e inscripciones gratuitas abiertas para las 19as Jornadas Internacionales gvSIG (online)
sur Planet OSGeo

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.

9:32
Where Your Food Comes From
sur Google Maps Mania

When you begin to prepare your Thanksgiving dinner you may wonder about where all that food comes from. Well a new interactive map from CU Boulder and The Plotline, can help show you where. The Food Twin shows you where food is grown and consumed in America and how crops travel from producers to consumers.Click on your county on the map and you will see colored dots flowing into your

21 November 2023
15:52
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
sur Planet OSGeo

Descarga de la publicación aquí

7:37
America's Changing Plant Hardiness Zones
sur Google Maps Mania

Around half of Americans have been moved into a new plant hardiness zone. If you check out the USDA's new Plant Hardiness Zone Map you have a very good chance of discovering that your home is now in a new hardiness zone.In recent years, like many gardeners, I've discovered that I can successfully sow plants a few weeks before their recommended earliest dates and that I can continue
20 November 2023
10:26
Alternatives to Google Maps Street View
sur Google Maps Mania

Panoramax is an open-source photo-mapping platform that allows users to share and exploit street level photography. It is a free alternative to proprietary services, such as Google Maps Street View, providing a freely available resource for sharing and mapping field photos. The Panoramax platform allows anyone to capture street level photographs and contribute them to the Panoramax database and

3:50
Sean Gillies: Bear 100 retro
sur Planet OSGeo

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.
1:41
Sean Gillies: Status update
sur Planet OSGeo

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!
1:00
PostGIS Development: PostGIS Patch Releases
sur Planet OSGeo

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.

18 November 2023
11:17
Introducing the Sunderland Collection
sur Google Maps Mania

The Sunderland Collection of antique maps has been digitized in full and can now be explored in detail on the new virtual platform Oculi Mundi (Eyes of the World). The Sunderland Collection was started by Dr Neil Sunderland in the 1990s. The collection now consists of around 130 vintage globes, maps and atlases which date back to as early as the 13th century. The new Oculi Mundi platform takes

17 November 2023

13:00

Free and Open Source GIS Ramblings: Adding basemaps to PyQGIS maps

sur Planet OSGeo

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:]]

12:20
Mapping Damage in Gaza
sur Google Maps Mania

A researcher at UCL's CASA has released a new interactive mapping tool which can help researchers and news agencies "estimate the number of damaged buildings and the pre-war population in a given area within the Gaza Strip". The Gaza Damage Proxy Map is based on an earlier tool which was developed to estimate damage caused by Russia in Ukraine. The Gaza Damage Proxy Map colors individual
16 November 2023
11:06
The Rise & Fall of National Rail Networks
sur Google Maps Mania

The Berliner-Morgenpost has visualized the rise and fall of the German rail network from its rapid growth in the 19th Century right up to its 21st Century post-privatization contraction. The German Rail Network from 1835 Until Today uses an interactive map to show all the active rail lines in Germany for every single year from 1835 until 2022.On December the 7th 1835 a six-kilometer rail line

9:00
Lutra consulting: 3D Tiles in QGIS
sur Planet OSGeo
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 QGIS
To 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 QGIS
Alternatively, you can add the service from your Browser Panel:

3D tiles data provider in the Browser panel
To test the feature, you can use the following 3D tiles service:
```
Name: Bathurst
URL: [https:] 
```
Creating a new connection to a 3D tiles service
You can then add the map from the newly generated connection to QGIS:

Adding a new 3D tiles to QGIS
By default, the layer is styled using texture, but you can change it to see the wireframe mesh behind the scene:

3D tiles’ mesh wireframe
You 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 meshes
To 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 ion
Cesium 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 assets
You 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 data
In 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 works
This 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.
15 November 2023
19:16
Free and Open Source GIS Ramblings: MovingPandas v0.17 released!
sur Planet OSGeo
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
  - Ability to parse a MovingFeatureCollection from a json file #330
  - GeoDataFrame to MF-JSON #325
  - Adding read_mf_dict function #357
- 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.

15:09
OGC India Forum 2023: Key Highlights from Hyderabad
sur Open Geospatial Consortium (OGC)

A meeting of the OGC India Forum was held on October 18, 2023, in Hyderabad, where over 40 experts from government, industry, and academia met to discuss the future of geospatial technologies in India. With its booming tech industry, Hyderabad provided an apt backdrop for discussions on innovation and standards in the geospatial realm.

The event was supported by the following organizations: The Association of Geospatial Industries (AGI India), which represents India’s geospatial private sector capabilities; the Bureau of Indian Standards (BIS), the national standards body that underpins technical excellence; and Geospatial World, a media company and the host for GeoSmart India 2023, where the forum was organized.

A pivotal moment at the event was the unveiling of the OGC India Forum’s new Charter, heralding a renewed commitment to advancing geospatial standards and innovation within the Indian context. Also at the Forum, OGC and AGI India renewed their partnership in line with the policy priorities of India.
Harsha Madiraju, OGC, and Sreeramam GV, AGI India, exchanging the partnership agreement.
The forum facilitated a series of expert-led panels, dissecting the latest trends, challenges, and opportunities in the geospatial and Earth Observation sectors. It provided a platform for participants to contribute insights and actively shape the Forum’s committees and future directives.
Emphasizing the Economic Value of Geospatial Standards
Harsha Madiraju, Lead – OGC India Forum, set the stage with a presentation on the economic impact of standards in geospatial technologies. Citing the 2012 ISO publication on Standards and Economic Growth, he highlighted the positive correlation between the proliferation of standards and national economic development. This underscores the importance of investment in geospatial interoperability and its tangible benefits to industries and economies.
Harsha Madiraju, Lead – OGC India Forum, delivering his opening address.
From the Indian Context, Harsha said that we need proven methodologies and best practices for implementing Standards in India’s diverse and complex landscape. From this perspective, he said, the “Guide to the Role of Standards in Geospatial Information Management” prepared by ISO/TC 211, OGC, and IHO, and endorsed by UN-GGIM, provides a reliable framework around geospatial standards implementation. Quoting the guide, he said the Indian community can refer to the Goal-based Approach to geospatial standards implementation, where different maturity levels from Tier 1 to Tier 4 are prescribed.
Goal-based Approach to geospatial standards implementation
Harsha said about the interoperability scenario in India: “Our data and systems are not yet fully interoperable, and our community is at varying stages of maturity compared to more developed geospatial ecosystems. The opportunity here is immense. It’s not just about sharing maps: it’s about evolving towards a spatially enabled nation where we can take advantage of the authoritative datasets coming up for India.”

He further called for collaboration by saying “In a country like India, with its unique challenges and opportunities, the role of standards in accelerating the maturity of our technology ecosystems is crucial. At OGC India Forum, we aim to work on standards, compliance, and innovation. It’s not just the responsibility of a few: it’s a collective endeavor. Your expertise and contributions can shape the future of geospatial technology in India.”

Concluding his talk, he said, “We have the framework, the global endorsement, and, most importantly, a community willing to drive change. Let’s invest wisely in standards to shape a future that benefits us all.”
Panels and Discussions for India – Tech Trends, Adoption of Standards, and Academic Perspectives.
The event then proceeded with three panels on the following topics:
Panel on Geospatial and Earth Observation Technology Innovation in India
The panel discussed India’s contributions to geospatial and Earth Observation technologies and the possible advancements that may come from the Indian government, private sector, and especially start-ups. The session also discussed the untapped sectors and applications that these technologies could significantly impact. Finally, the discussions identified key challenges in technology adoption and scalability and discussed how the community can help overcome these challenges.
Panelists on Geospatial and Earth Observation Technology Innovation in India, along with along with AGI and OGC Staff (on the right side)
Rajesh Mathur, Esri India, said that federated GIS architecture is a new paradigm enabling collaboration and data sharing. According to him, India’s National Geospatial Policy 2022 is a progressive and transformational initiative that will accelerate the adoption of geospatial technologies by encouraging collaboration and data sharing among all the stakeholders. This opens up exciting opportunities for GIS deployment – both on the Cloud and in a federated architecture. Data partnerships enabled by Standards and interoperability will allow users from multiple organizations to collaborate and share content through trusted and secure workflows.

Shubham Sharma, GalaxEye Space, said that the OGC India Forum provided a great platform to interact with the panel members and the audience with diverse experiences. With discussions ranging from the evolution of technology in the geospatial sector to standardization, the discussions centred around the implementation of OGC standards in India. With the continued expansion of the geospatial sector, Open Standards will pave a smoother road for building scalable and sustainable products.

S S Raja Shekar, National Remote Sensing Centre (NRSC), said OGC standards have changed how geospatial data and applications are handled, providing simple solutions to complex exchanges of data and services. A growing focus on standards in the space domain and in sectors of priority to the country where geospatial applications are critical is needed. This session also brought perspectives and ideas from entrepreneurs and proved to be highly constructive.

Akshay Loya, Founder & CEO of GISKernel Technologies, said “I was asked how I envision the evolution of the geospatial industry in India. My response was straightforward: we, as young founders, can share our insights alongside esteemed figures on a platform like OGC India Forum, which is a significant evolution in our industry.”
Panel on Geospatial and Earth Observation Standards in India
The second panel examined the current adoption of BIS/ISO and OGC standards in India, focusing on areas where they are most – and least – implemented. The panel also discussed the avenues available for contributing to geospatial and Earth Observation Standards, both at a national and international level. The session then also delved into the compliance and procurement aspects.
Speakers at the Panel on Geospatial and Earth Observation Standards
Abhiroop Bhatnagar, Lead, Platform at Aereo, said “I would like to share the message regarding the importance of cloud-native geospatial formats. The essential property of cloud-native formats is that they allow data delivery directly from cloud-based storage to clients without involving any compute in between – for example consider direct requests to S3 from web browsers. The world is quickly transitioning towards a cloud-based data-delivery paradigm. Under this new paradigm, if we have to ensure scalability along with preserving efficiency, it is critical to utilize cloud-native geospatial formats. In that respect, Cloud-optimized GeoTIFF has already been accepted as an OGC standard and is well-supported by the ecosystem. We at Aereo have already integrated support for COGs in our WebGIS platform, Aereo Cloud. We actively promote it as the preferred format for raster data within the industry and the government.”

Ashish Tiwari, Joint Director of the Bureau of Indian Standards (BIS), said that ISO/TC211 and OGC have a strong history of collaboration on geospatial standards. BIS, through the Geospatial Information Sectional Committee, has adopted over twelve Standards and is working on adopting fourteen more. BIS looks forward to collaborating with the OGC community, as this will be valuable in many areas where BIS can understand recent trends and best practices.

Participating in this session, Vishnu Chandra, Former Deputy Director General & HOG -NIC, Geospatial Technology Services Division, said that open geospatial Standards are the core foundation of geospatial information interoperability and play a crucial role through open geospatial APIs for the exchange of data and Service Delivery. OGC India Forum can play a critical role in bringing the global OGC standards to India in collaboration with various government, industry, and academic stakeholders.

OGC standards have a significant role given the context of the Indian National Geospatial Policy 2022, which calls for the creation of the National Geospatial Foundation around 14 Thematic Areas to support UN-GGIM objectives associated with the UN Sustainable Development Goals. These themes also have relevance in digital public infrastructures and platforms for specific governance, planning, and service delivery in the Indian context. Therefore, each data theme needs Standards implemented across the entire geospatial information value chain.
Panel providing Perspectives from Academia & Research on Innovation and Standards in India
The final panel discussed the current awareness and usage of geospatial and Earth Observation Standards in academic programs and research projects. The discussions explored the extent to which Standards are integrated into educational curricula. The panel also delved into how academic and research institutions can contribute to standards development, implementation testing, and even lead the creation of new standards.
Speakers at the Panel Providing Perspectives from Academia & Research
Dr. Sanjay Chaudhary, Professor and Associate Dean, Ahmedabad University, School of Engineering and Applied Science, said “There is a lack of interest in geospatial technologies in India from the students in the broader computer science and IT community. Helping them understand the value and opportunities available in this sector will be important. With the evolution of OGC Standards into APIs and the availability of developer resources, we can make these students learn and invest in this direction, which will be valuable to their professions and bring skilled resources to India.”

Professor Dr. Karbhari Vishwanath Kale, Vice-Chancellor of Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, said “Through our engagement with the Bureau of Indian Standards, I have been making personal efforts to bring awareness in our professional circles on the value and importance of Standards. As an OGC Member, our university closely follows the development of international Standards by OGC. Some of our core interests lie in the intersection of multi- and hyper-spectral sensor data for agriculture, material detection, disaster management, and health care. We must invest in developing sensors and data dissemination platforms and make applications and data more broadly available, specifically in agriculture. In line with the Indian National Education Policy 2020, our university has set goals to establish and design the course curriculum with a research lab where IoT, sensors, and Standards can be brought together for the overall benefit of end users. We look forward to collaborating with the international network of OGC and taking this on.”

Dr. Sumit Sen, GISE Hub, IIT Bombay, said “Our Hub is established as an interdisciplinary project funded by the Department of Science and Technology, Govt. of India, to enable the research and development of geospatial technology solutions. In turn, our hub works with many academic and research organizations to further fundamental research in GIScience. Standards and Interoperability is one of the focus areas, and we continue to work closely with OGC and other stakeholders like IIT Kanpur, IIT Tirupati, and IIIT Hyderabad in enabling the geospatial community with the right skills on OGC Standards and APIs. The Winter School is one of India’s unique learning programs on geospatial standards. It is a fifteen-day on-campus training program supported by OGC Staff and Members. It provides hands-on and practical training on OGC Standards to India’s government, private, and research organizations. The 2023 program will be on the OGC API Stack. We will continue our international engagement and work closely with the OGC India Forum community.”
Next Steps
The OGC India Forum 2023 event was a success. The event concluded with a broader agreement around the need to identify areas of engagement in the coming days. It was agreed that there is a need for partnerships and to organize events, training programs, and policy roundtables on geospatial standards, in collaboration with OGC Members and Partners in India and the broader community.

The post OGC India Forum 2023: Key Highlights from Hyderabad appeared first on Open Geospatial Consortium.

10:02
Wednesday Night is Game Night
sur Google Maps Mania

Following the huge runaway success of Benjamin Tran Dinh's the London Tube Memory Game (which bears an uncanny resemblance to my own London TubeQuiz) it is not that surprising that a number of other map memory games have now suddenly appeared on the scene. US States QuizMy own US States Quiz is similar to the London Tube Memory Game. The only real difference is that instead of having

14 November 2023
16:27
Markus Neteler: Translating Open Source Software with Weblate: A GRASS GIS Case Study
sur Planet OSGeo
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 Localization
GRASS 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 translation
Before 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:
1. 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.
2. 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.
3. 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 Weblate
While 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:
1. Developer makes a commit to the GRASS GIS repo on GitHub
2. 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.
3. 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 Weblate
Here 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 project
By 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.
Conclusion
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.
Thanks
Thanks 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.

10:14
Ten Years of Global Marine Traffic
sur Google Maps Mania

The Global Marine Traffic Density Service (GMTDS) map visualizes global marine traffic over the last ten years. The map is designed to support a number of uses, including monitoring fishing activity, monitoring port activity, and environmental and economic activity monitoring. The GMTDS Map has processed hundreds of billions of AIS signals from over ten years of marine traffic around the world
13 November 2023
10:15
Standing on Top of the World
sur Google Maps Mania

If you want an uninterrupted view towards the horizon in all directions then you need to stand on top of a mountain. But not just any mountain. What you need is an 'on top of the world' mountain. On Top of the World Mountains An "on top of the world" mountain, also known as an OTOTW mountain, is a mountain that is so high that no other mountains can be seen above the horizon from its

3:01
Sean Gillies: Wellsville fall colors
sur Planet OSGeo

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.

11 November 2023
10:54
The Spanish Wealth Divide
sur Google Maps Mania

El Diario has released an interactive map which shows how much people earn across the whole of Spain. The map starkly reveals not only the huge income inequality between northern and southern Spain but also the inequality between many urban and rural communities. The map in Rich Neighborhood, Poor Neighborhood uses data from the National Statistics Institute to show the average gross

1:00
Ian Turton's Blog: Is GeoJSON a spatial data format?
sur Planet OSGeo
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:
1. it stores my spatial data as I want it to,
2. it’s fast to read and to a lesser extent, write.
3. 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!
10 November 2023
21:04
KAN T&IT Blog: Simplificá tu Análisis Geoespacial con KICa, el Innovador Plugin de QGIS para acceder a catálogos de Imágenes
sur Planet OSGeo

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

19:03

Free and Open Source GIS Ramblings: Bringing QGIS maps into Jupyter notebooks

sur Planet OSGeo

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:]]

9:08
Peering into the Heart of Darkness
sur Google Maps Mania

This week the European Space Agency released the first full-color images from the Euclid telescope. Euclid is a space telescope (situated in a halo orbit at an average distance of 1.5 million kilometers beyond Earth's orbit) which has been tasked to explore dark energy and dark matter. The telescope is capturing highly detailed astronomical images across a large area of the sky. The first five

1:00
Georg Heiler: Introduction to Geostatistics
sur Planet OSGeo

Georg Heiler: Introduction to Geostatistics

09 November 2023
14:31
How Long Will You Live?
sur Google Maps Mania

According to Population.io I can expect to live for another 26.9 years. This calculation is based on my age, sex and country of birth. I am lucky I don't live in the United States. If I did I'd have 16 months less to live. Mind you if I lived in Japan I'd be able to look forward to living an extra 7 months.Enter your date of birth, country of birth and sex into Population.io and it will tell
9:29
Documenting Russian Crimes in Ukraine
sur Google Maps Mania

In March 2022 Russian troops invaded the Ukrainian village of Yahidne. During their month long occupation of the village the Russian army locked the villagers in a school basement. 360 people, including children and the elderly, where forced to live together in cramped and unsanitary conditions. There was so little space that people had to sleep standing up, people had to use buckets for

9:12
GRASS GIS: Apply Now for Student Grants
sur Planet OSGeo

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.

08 November 2023
15:00
OGC and Joint Research Centre renew Collaboration Agreement to enhance Geospatial Standards
sur Open Geospatial Consortium (OGC)

The Open Geospatial Consortium (OGC) and the Joint Research Centre of the European Commission (JRC) have renewed their collaboration agreement to enhance the development and use of geospatial standards.

The ongoing collaboration enables JRC to more effectively contribute to the OGC Standards process and facilitate the consideration of European objectives, requirements, and policies during the development of international open geospatial standards.

The agreement formalizes the partners’ collaboration in the field of development, application, maintenance, and promotion of international open geospatial standards and best practices that support the implementation of EU policies, for example, INSPIRE, European Data Spaces, Open Data, and Earth Observation, including Copernicus and Galileo.

Further, the agreement will enable OGC and JRC to jointly organize workshops for exchanging scientific and technological information on topics of mutual interest, for example, spatial law and policy, Spatial Data Infrastructure (SDI) Best Practices, and emerging technologies (e.g. metaverse, digital twins, cloud/edge computing, platforms, and Artificial Intelligence (AI)).

“We at OGC are pleased to continue our collaboration with the JRC,” commented Ingo Simonis, Ph.D, OGC Chief Technology Innovation Officer. “With the modernization of national and international spatial data infrastructures, the semantic enhancement of existing data offerings, and the development of cross-domain yet flexible solutions for heterogeneous communities, we have many core activities in common. Bringing the JRC and OGC communities together allows us to address these important topics far more efficiently.”

About JRC
The European Commission’s Joint Research Centre provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society.?It plays a key role at multiple stages of the EU policy cycle.
It works closely with research and policy organisations in the Member States, with the European institutions and agencies, and with scientific partners in Europe and internationally, including within the United Nations system. In addition, the JRC offers scientific expertise and competences from a very wide range of disciplines in support of almost all EU policy areas.

The post OGC and Joint Research Centre renew Collaboration Agreement to enhance Geospatial Standards appeared first on Open Geospatial Consortium.

9:11
Dutchify Your Street
sur Google Maps Mania

Thanks to the Netherlands Board of Tourism you can now visualize how your street might look if you were able to get rid of all the cars & the ugly road, and replace them with a bike lane, a few trees & some beautiful flowers. It is a matter of great sadness to the Dutch people that people in the rest of the world are not able to live in cycle-friendly environments. Therefore the

07 November 2023

17:14

SIG Libre Uruguay: web gratuito «Asociación con EOS Data Analytics: Ventajas de su red de socios y soporte».

sur Planet OSGeo

10:20
The Interactive Pathfinding Map
sur Google Maps Mania

The Pathfinding Visualizer is an interactive pathfinding tool that allows you to discover the most direct route between any two points in the world, using a number of different pathfinding algorithms. A map pathfinding algorithm is a way to find the shortest or most efficient route between different points on a map. It helps you find the best path to go from one location to another, considering

06 November 2023
18:41
SIG Libre Uruguay: Tercera edición del curso online gratuito del BID: Cartografía y Geografía Estadística
sur Planet OSGeo

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-

9:11
Redesigning the World's Transit Maps
sur Google Maps Mania

The University of Freiburg has redesigned the transit maps of every city in the world. Zoom in on any location on the university's LOOM Global Transit Map and you can view the local transit network mapped using your choice of four different transit map projections.In every city in the world you can view the local transit map in either a geographical, octilinear, geo-octilinear or orthoradial

05 November 2023
22:17
Free and Open Source GIS Ramblings: Exploring a hierarchical graph-based model for mobility data representation and analysis
sur Planet OSGeo
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.
16:10
From GIS to Remote Sensing: Downloading free satellite images using the Semi-Automatic Classification Plugin: the Download product tab
sur Planet OSGeo

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.
10:07
QGIS Blog: QGIS 3.34 Prizren is released!
sur Planet OSGeo

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.

04 November 2023
10:12
A Map of the World That Is Gone
sur Google Maps Mania

When Elan Ullendorff moved to South Philadelphia this summer he realized that he knew very little about the recent history of his new neighborhood. So he decided to change that. The result is Love Letters to Places I'll Never Meet, an interactive map which summons up the recent past of South Philadelphia by creating an interactive map of some now shuttered stores. To create his love letter to

03 November 2023
18:20
SIG Libre Uruguay: Premios Osor: gvSIG seleccionado entre los 6 mejores proyectos Open Source de la Comisión Europea
sur Planet OSGeo

Osor Awards: gvSIG selected among the top 6 open-source projects by the European Commission
18:15
SIG Libre Uruguay: XIII Jornada Educativa en Teledetección en el Ámbito del Mercosur
sur Planet OSGeo

Recibimos y publicamos: XIII Jornada de Educação em Sensoriamento Remoto no Âmbito do Mercosul

(click en la imagen para más información)
16:50
gvSIG Batoví: GIS DAY EN FACULTAD DE CIENCIAS FORESTALES (UNIVERSIDAD NACIONAL DE MISIONES)
sur Planet OSGeo

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
16:38
SIG Libre Uruguay: GIS Day en Facultad de Ciencias Forestales (Universidad Nacional de Misiones)
sur Planet OSGeo

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

14:00
Climate, Disaster, and Emergency Communities invited to Innovation Days 2023
sur Open Geospatial Consortium (OGC)

The Open Geospatial Consortium (OGC) invites anyone involved in climate resilience, disaster response, and emergency management to attend OGC Innovation Days 2023. The event will be held December 5-7 at the American Red Cross Headquarters in Washington, D.C. Attendance is free for OGC Members using this link.

OGC Innovation Days 2023 brings together diverse members of the climate, disaster, and emergency resilience and response communities to explore what OGC-enabled geospatial technologies have made possible and to ask: what do we need to do next?

This multi-day event will benefit anyone interested or involved in climate resilience, disaster response, or emergency management by providing an opportunity to learn about the latest geospatial data and technology developments from the OGC community, contribute to shaping future work, and interact with stakeholders from industry, government, research, and the private sector.

OGC has for many years been developing solutions that support climate and disaster resilience and response, from supporting the development of FAIR (Findable, Accessible, Interoperable, and Reusable) climate resilience information systems, to empowering first responders with the information they need, when they need it.

But to most effectively address the multi-faceted challenges of the changing climate and associated disasters, we want to hear about the problems being faced by city-managers, community members, first responders, climate scientists, insurers, government bodies, and others, as they respond to the changing climate and associated disasters – so that we can use OGC’s collective expertise to address them.

By bringing the climate, disaster, and emergency communities together, OGC Innovation Days 2023 provides a unique opportunity for attendees to meet people facing similar challenges to their own and learn about the solutions that worked for them, while guiding OGC towards creating impactful free and open solutions where none currently exist.

The event runs across three days: a day of panels and discussions, a day of demonstrations, and a day exclusively for the OGC Strategic Member Advisory Committee, OGC Executive Planning Committee, and special guests.

Gain insights from experts from leading organizations, including: event hosts American Red Cross, OGC Strategic Members Department of Homeland Security (DHS) / Federal Emergency Management Agency (FEMA), National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), Natural Resources Canada (NRCan), and United States Geological Survey (USGS), as well as others from across government and industry. See the full agenda here.

Day 1 consists of panels and discussions centered around 4 topics: Disaster Response & Emergency Management; Wildfires; Climate Change & Disaster Risk Reduction; and the role that Artificial Intelligence and related technologies can play in building disaster and climate resilience. Throughout each panel, expect information on the FAIR solutions and workflows developed through OGC initiatives – such as the Disasters Pilot 2023 and the Climate Resilience Pilot – the gaps that remain between the data & tools we have and the ones we need, panelists’ successes & challenges, and audience feedback.

Day 2 provides attendees the opportunity to see working demonstrations of cutting-edge solutions for climate, disaster, and emergency resilience and response developed in OGC COSI Program Initiatives or using OGC innovations in geospatial technologies such as Artificial Intelligence/Machine Learning, Earth Observation, Analysis Ready Data (ARD), Decision Ready Indicators (DRI) for emergency response, FAIR systems & data, cloud-native geospatial, and more.

Day 2 will also include a demonstration of General Dynamics Information Technology (GDIT)’s standards-based Raven mobile command-center, which collects and distributes mission-critical information at the edge. Powered by AI systems, the Raven can filter information so data-driven decisions can be made and disseminated to first responders, analysts, and decision makers in real-time.

Join us at the American Red Cross Headquarters in Washington, DC, USA, to tackle climate, disasters, and emergencies together using FAIR geospatial data and systems. A video overview of the 2022 OGC Innovation Days event is available on OGC’s YouTube channel.

For more information, including registration, agenda, venue & accommodation info, and more, visit the OGC 2023 Innovation Days webpage. The event is free for OGC Members – see this page on the OGC Portal for your discounted registration link. Sponsorship opportunities remain available, contact OGC to find out more.

The post Climate, Disaster, and Emergency Communities invited to Innovation Days 2023 appeared first on Open Geospatial Consortium.

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