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Géomatique anglophone

• 18 September 2024
• 10:29

  15 Minutes Cities by Sony CSL

  sur Google Maps Mania
  Sony Computer Science Laboratories in Rome have released a new interactive map which provides 15 Minute City accessibility scores for nearly every city in the world. The '15-minute city' is an urban planning concept aimed at designing cities in a way that ensures residents can access most of their daily needs—such as work, shopping, healthcare, education, and recreation—within a 15-minute walk

• 2:00

  GeoServer Team: GeoServer 2.26.0 Release

  sur Planet OSGeo

  GeoServer 2.26.0 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 2.26.0 is made in conjunction with GeoTools 32.0, GeoWebCache 1.26.0, ImageIO-EXT 1.4.13, and JAI-EXT 1.1.27.

  Thanks to Peter Smythe (AfriGIS) and Jody Garnett (GeoCat) for making this release and everyone who has helped out during this release cycle. Special thanks Andrea for helping with release announcement, and Torben for troubleshooting the build server and docker environment for this release.

  

  Nightly build testing

  This release cycle we asked our new user forum to test a nightly build, as we did not have capacity to make a release candidate.

  Thanks to Daniel Calliess for responding during our public testing cycle. Daniel noted that he had to add /geoserver/webresources to his proxy for the OpenLayers preview to function. This change is due to an ongoing effort to move all CSS and JS to external resources allowing Content Security Policy headers to be introduced.

  Security Considerations

  This release addresses security vulnerabilities and is a recommended upgrade for production systems.

  • CVE-2024-34711 Improper ENTITY_RESOLUTION_ALLOWLIST URI validation in XML Processing (SSRF) (High 7.3)
  • CVE-2024-35230: Welcome and About GeoServer pages communicate version and revision information (Moderate 5.3)

  See project security policy for more information on how security vulnerabilities are managed.

  • GEOS-11400 About Page Layout and display of build information

  Java 17 Support

  The binary distribution and the Windows installer now work with Java 17.

  When using the war distribution with Tomcat and Java 17 double check the Server status page. If the Java Rendering Engine is listed as “Unknown”, double check the Running in Java 17 production considerations.

  

  Thanks to Andrea Aime and everyone who worked on testing this in different environments.

  • GEOS-11467 Update Marlin, make the bin package compatible with Java 17

  Docker Updates

  The base image tomcat:9.0.95-jdk17-temurin-jammy is now used - providing the latest Tomcat 9 and Java 17. The docker crew changed from using ubuntu:22.04 with our own Tomcat install script earlier in the year.

  To try out GeoServer 2.26.0 with docker:

  docker pull docker.osgeo.org/geoserver:2.26.0 
  docker run -it -p8080:8080 docker.osgeo.org/geoserver:2.26.0 
  

  Thanks to Nils Bühner (terrestris) and everyone who has contributed to the Docker build.

  Search improvement

  A small but fun change for the layer preview - it is now easier to find just the layer you are looking for using quotes to isolate an individual word.

  

  Thanks to Alessandro Ricchiuti for this work.

  • GEOS-11351 Exact term search in the pages’ filters

  Extensive MapML Improvements

  Thanks to Natural Resources Canada for sponsoring an extensive set improvements for the MapML extension.

  

  This update was carried out by a group of GeoSolutions devs, Andrea Aime, Daniele Romagnoli and Joseph Miller.

  • GEOS-11322 MapML WMS Vector Representation include query filter
  • GEOS-11324 MapML WMS Vector Representation Style Classes
  • GEOS-11337 Support feature tiles in MapML
  • GEOS-11349 MapML Use WMS Resource Consumption Limit to specify max image size
  • GEOS-11461 Enable MapML Viewer output for WFS getFeature.
  • GEOS-11486 Adding custom dimensions to MapML
  • GEOS-11528 Update MapML viewer to latest release 0.14.0
  • GEOS-11471 Remove Sharding configuration support from MapML

  Demo Requests page rewritten

  The Demo Request page has been rewritten to use JavaScript to issue POST examples. This provides a much better user experience:

  • Show Result lists the response headers to be viewed along side the returned result (with an option for XML pretty printing).
  • Show Result in a New Page is available to allow your browser to display the result.

  

  

  The WCS Request Builder and WPS Request Builder demos now have the option to show their results in Demo Requests page. Combined these changes replace the previous practice of using an iframe popup, and have allowed the TestWfsPost servlet to be removed.

  For more information please see the Demo requests in the User Guide.

  Thanks to David Blasby (GeoCat) for these improvements, made on behalf of the GeoCat Live project.

  • GEOS-11390 Replace TestWfsPost with Javascript Demo Page

  JTS 1.20.0 Update

  We are overjoyed to update to the latest JTS 1.20.0 release which includes a new implementation of spatial relationships.

  Use -Djts.relate=ng to try out the new implementation (replacing RelateOp with theReleateNG next generation implementation). Let us know how it goes, a future update will make this setting the default and expand the approach to “prepaired geometry” bulk operations used for WFS Queries.

  Thanks to Martin Davis (CrunchyDB) for the JTS improvements, and Jody Garnett (GeoCat) for the release and GeoServer update.

  • GEOS-11532 Update to JTS 1.20.0

  Raster Attribute Table Extension

  A new extension is available that takes advantage of the GDAL Raster Attribute Table (RAT). This data structure provides a way to associate attribute information for individual pixel values within the raster. This provides a table that links each cell value in the raster to one or more attributes on the fly.

  

  

  Thanks to Andrea Aime (GeoSolutions) for the development and NOAA for sponsoring this new capability. Please see the user guide Raster Attribute Table support for more information.

  • GEOS-11376 Graduate Raster Attribute Table to extension

  GeoCSS improvements

  GeoCSS can now perform scale dependent rendering by the zoom level, assuming web mercator by default, but allowing the configuration of a different gridset as well. It’s also possible to create multi-layer styles and use them as style groups.

  @mode 'Flat';
  @TileMatrixSet 'WorldCRS84Quad'
  
  tiger:poly_landmarks {
  
    /* @title parks and green spaces */
    [CFCC in ('D82', 'D32', 'D84', 'D85')] {
      fill: #B4DFB4;
      stroke: #88B588;
    }; 
    …
  }
  
  tiger:tiger_roads [@z > 12] {
    stroke: #666666, #FFFFFF;
    stroke-width: 6, 4;
    z-index: 1, 2;
    …
  }
  
  …
  

  Thanks to Andrea Aime (GeoSolutions) for this work, performed in preparation for the FOSS4G-NA 2024 vector tiles workshop.

  • GEOS-11495 Support multi-layer output in CSS
  • GEOS-11515 Add support for zoom level rule filtering in CSS
  • GEOS-11414 Adding css-uniqueRoleName

  Geostationary satellite AUTO code

  AUTO:97004 has been introduced as a new vendor extension to WMS AUTO codes. It implements the geostastionary satellite project and allows to change the central meridian as part of the GetMap request.

  

  Thanks to Andrea Aime (GeoSolutions) for this work, and Eumetsat for sponsoring it.

  labelPoint function improved

  The labelPoint function has been improved with more precise calculation of the polygon label points, and not requiring to specify a tolerance any longer. This helps get better maps, especially with tiling enabled (fixed labelling point no matter which tile is requested):

    <sld:TextSymbolizer>
      <sld:Geometry>
        <ogc:Function name="labelPoint">
          <ogc:PropertyName>the_geom</ogc:PropertyName>
        </ogc:Function>
      </sld:Geometry>
    </sld:TextSymbolizer>  
  

  

  Thanks to Andrea Aime (GeoSolutions) for this work, performed in preparation for the FOSS4G-NA 2024 vector tiles workshop.

  Improved vector tiles generation

  A few new vendor options have been added in GeoServer, that control how vector tiles are built, with the objective of producing smaller, faster, more useful vector tiles.

  • vt-attributes: comma separated list of attributes included in the vector tile
  • vt-labels: when true, generates a sidecar -label layer for polygons, with the label point of the polygon (vector tile clients generally cannot produce a good label placement otherewise)
  • vt-label-attributes:: attributes included in the label point layer
  • vt-coalesce: if true, takes all features in the tile sharing the same attribute values, and coalesces their geometries into a single multi-geometry.

  Here is an example style using the above vendor options, in GeoCSS:

  @mode "Flat";
  
  tiger:poly_landmarks {
    fill: gray;
    vt-attributes: 'CFCC,LANAME';
    vt-labels: true;
  }
  
  tiger:tiger_roads [@z > 11] {
    stroke: black;
    vt-attributes: 'NAME';
    vt-coalesce: true;
  }
  
  tiger:poi [@z > 12] {
    mark: symbol(square);
  }
  

  The GWC layer preview has also been improved to show the vector tile feature attributes on hover:

  

  Thanks to Andrea Aime (GeoSolutions) for this work, performed in preparation for the FOSS4G-NA 2024 vector tiles workshop.

  GeoPackage QGIS Compatibility Improvements

  A number of issues affecting interoperability with QGIS have been addressed:

  GeoPackage extension output could contain field types that are not supported by GDAL. It turns out the GeoPackage export was picking up some of the file type information intended for PostGIS resulting output that could not be read by other programs such as QGIS.

  We were also able to fix up the TIMESTAMP information representation as DATETIME, making the file format timezone agnostic as intended.

  

  Thanks to David Blasby (GeoCat) for these fixes made on behalf of Zeeland and South Holland.

  • GEOS-11416 GeoPackage output contains invalid field types when exporting content from PostGIS

  New image mosaic merge behaviors, MIN and MAX

  These two new image mosaic merge modes activate when multiple images overlap with each other, choosing respectively the minimum and maximum value amongst the super-imposed pixels.

  

  Thanks to Andrea Aime for the work, and the US National Research Laboratory for sponsoring it.

  Release notes

  New Feature:

  • GEOS-11322 MapML WMS Vector Representation include query filter
  • GEOS-11324 MapML WMS Vector Representation Style Classes
  • GEOS-11352 REST service for URL checks
  • GEOS-11376 Graduate Raster Attribute Table to extension
  • GEOS-11390 Replace TestWfsPost with Javascript Demo Page
  • GEOS-11414 Adding css-uniqueRoleName

  Improvement:

  • GEOS-11271 Upgrade spring-security to 5.8
  • GEOS-11325 Add properties to set additional security headers
  • GEOS-11337 Support feature tiles in MapML
  • GEOS-11338 CapabilityUtil SearchMinMaxScaleDenominator should include support for multiple NamedLayers
  • GEOS-11349 MapML Use WMS Resource Consumption Limit to specify max image size
  • GEOS-11351 Exact term search in the pages’ filters

  • GEOS-11369 Additional authentication options for cascaded WMS

    WMTS data stores

  • GEOS-11370 Refactor inline JavaScript in the TestWfsPost Page
  • GEOS-11371 Refactor inline JavaScript in the GetMap OpenLayers format
  • GEOS-11379 Refactor inline JavaScript in the OGC API modules
  • GEOS-11400 About Page Layout and display of build information
  • GEOS-11401 Introduce environmental variables for Module Status page
  • GEOS-11427 metadata: “fix all” to support changing config repeatable field
  • GEOS-11443 REST API does not take effect immediately due to 10 minute authentication cache
  • GEOS-11461 Enable MapML Viewer output for WFS getFeature.
  • GEOS-11467 Update Marlin, make the bin package compatible with Java 17
  • GEOS-11477 Add a max and a min merge mode for image mosaics
  • GEOS-11486 Adding custom dimensions to MapML
  • GEOS-11488 Double-Click-to-Copy featurecaption variable reference
  • GEOS-11495 Support multi-layer output in CSS
  • GEOS-11502 Permit resize on user/group/role palette textbox to allow for extra long role names
  • GEOS-11503 Update mongo schemaless DWITHIN to support non-point geometry
  • GEOS-11515 Add support for zoom level rule filtering in CSS
  • GEOS-11526 GeoFence: slow GeoServer response when there are many roles and layergroups
  • GEOS-11527 Add new vector tiles generation options in style body: vt-attributes, vt-coalesce, vt-labels, vt-label-attributes
  • GEOS-11528 Update MapML viewer to latest release 0.14.0
  • GEOS-11531 When coalescing linestrings in vector tiles output, fuse them to create a single long line

  Bug:

  • GEOS-7183 Demo request/wcs/wps pages incompatible with [HTTPS]
  • GEOS-11202 CAS extension doesn’t use global “proxy base URL” setting for service ticket
  • GEOS-11266 csw-iso: missing fields in summary response
  • GEOS-11314 Error in IconService when style has multiple FeatureTypeStyle
  • GEOS-11385 Demo Requests functionality does not honour ENV variable PROXY_BASE_URL
  • GEOS-11416 GeoPackage output contains invalid field types when exporting content from PostGIS
  • GEOS-11422 MapML License Metadata Stored With Incorrect Keys
  • GEOS-11430 CiteComplianceHack not correctly parsing the context
  • GEOS-11446 [INSPIRE] Incorrect behavior for unsupported languages
  • GEOS-11462 500 error thrown when double adding a user to a group via REST with JDBC user/group services
  • GEOS-11484 DirectRasterRenderer is not respecting advancedProjectionHandling and continuosMapWrapping format_options
  • GEOS-11530 Adding or removing a grid subset in the layer caching tab, causes the grid dropdown to get duplicated

  Task:

  • GEOS-11341 Upgrade NetCDF to 5.3.3
  • GEOS-11360 Upgrade Apache POI from 4.1.1 to 5.2.5
  • GEOS-11362 Upgrade Spring libs from 5.3.32 to 5.3.33
  • GEOS-11374 Upgrade Spring version from 5.3.33 to 5.3.34
  • GEOS-11375 GSIP 224 - Individual contributor clarification
  • GEOS-11393 Upgrade commons-io from 2.12.0 to 2.16.1
  • GEOS-11395 Upgrade guava from 32.0.0 to 33.2.0
  • GEOS-11397 App-Schema Includes fix Integration Tests
  • GEOS-11402 Upgrade PostgreSQL driver from 42.7.2 to 42.7.3
  • GEOS-11403 Upgrade commons-text from 1.10.0 to 1.12.0
  • GEOS-11404 Upgrade commons-codec from 1.15 to 1.17.0
  • GEOS-11407 Upgrade jackson from 2.15.2 to 2.17.1
  • GEOS-11464 Update Jackson 2 libs from 2.17.1 to 2.17.2
  • GEOS-11470 Upgrade the version of Mongo driver for schemaless plugin from 4.0.6 to 4.11.2
  • GEOS-11471 Remove Sharding configuration support from MapML
  • GEOS-11472 Upgrade freemarker from 2.3.31 to 2.3.33
  • GEOS-11473 Upgrade guava from 33.2.0 to 33.2.1
  • GEOS-11475 Upgrade commons-codec from 1.17.0 to 1.17.1
  • GEOS-11478 Upgrade commons-lang3 from 3.14.0 to 3.15.0
  • GEOS-11479 Upgrade junit from 4.13.1 to 4.13.2
  • GEOS-11480 Update map fish-print-lib 2.3.1
  • GEOS-11506 Upgrade Spring version from 5.3.37 to 5.3.39 and Spring security from 5.8.13 to 5.8.14
  • GEOS-11508 Update OSHI from 6.4.10 to 6.6.3
  • GEOS-11512 Upgrade jasypt from 1.9.2 to 1.9.3
  • GEOS-11532 Update to JTS 1.20.0
  • GEOS-11533 Update org.apache.commons.vfs2 to 2.9.0
  • GEOS-11544 Upgrade to ImageIO-EXT 1.4.13
  • GEOS-11545 Update to JAI-EXT 1.1.27

  For the complete list see 2.26.0 release notes.

  Community Updates

  Community modules are shared as source code to encourage collaboration. If a topic being explored is of interest to you, please contact the module developer to offer assistance.

  Community module development:

  • GEOS-10690 Task manager plugin is missing dependencies
  • GEOS-10824 gs-flatgeobuf extension can clash with “directory of shapefiles” datastores
  • GEOS-11331 OAuth2 can throw a “ java.lang.RuntimeException: Never should reach this point”
  • GEOS-11358 Feature-Autopopulate Update operation does not apply the Update Element filter
  • GEOS-11381 Error in OIDC plugin in combination with RoleService
  • GEOS-11412 Remove reference to JDOM from JMS Cluster (as JDOM is no longer in use)
  • GEOS-11466 move reusable elements of the graticule plugin to GeoTools
  • GEOS-11469 Datadir catalog loader does not decrypt [HTTPStoreInfo] passwords
  • GEOS-11518 DGGS JDBC store SQL encoder should not force the timezone to CET
  • GEOS-11519 Make DGGS rHealPix tests run again
  • GEOS-11521 Expose a JNDI variant of the DGGS Clickhouse datastore
  • GEOS-11541 STAC search endpoint sortby query not working with POST

  OGC APIs feeling “at home”

  OGC API modules now nicely slot into the home page in the corresponding functional section, e.g., since both provide raw vector data, both OGC API Features and WFS show up in the same area:

  

  Thanks to David Blasby (GeoCat) for this work.

  • GEOS-11445 OGCAPI ServiceDescriptors

  Data directory loader

  The “Data Directory loader”, by Gabriel Roldan (Camptocamp), is a replacement data directory loader, reading the XML configuration files at startup. It has been optimized to achieve better parallelism and be more efficient over network file systems.

  It can be found amongst the nightly builds, it’s a simple drop in replacement, just unzip the plugin in WEB-INF/lib and restart. Let us know how it works for you.

  WFS HTML Freemarker output

  The WFS HTML Freemaker output format is a community module generating HTML in response to GetFeature, using the GetFeatureInfo Freemarker templates.

  Thanks to Alessio Fabiani (GeoSolutions) for starting this activity.

  Graticule module

  The graticules module is the combination of a data store and a rendering transformation allowing to generate graticules at multiple resolutions, and optionally placing the graticule labels at the map borders.

  

  Thanks to Ian Turton for working on this activity. Ian needs a few more people to try this out before it can be included in our GeoServer roadmap.

  Developer Updates

  GeoServer team has identified quite the challenges for GeoServer 2024 Roadmap Plannings.

  Wicket Progress

  After initial testing of 2.26-M0 milestone release we held off including Wicket 9 until after the 2.26.0 release. Thanks to Peter Smythe and Jody Garnett for testing.

  Thanks to Brad Hards who started this work in November 2023, and David Blasby who helped bring this up to a state it could be tested ahead of the 2.26.0 release.

  Spring Security 5.8

  Thanks to Andreas Watermeyer (ITS Digital Solutions) completed this important update.

  This is the last stopping place before Spring Security 6, and the last chance to work with the OAuth2 community modules.

  • GEOS-11271 Upgrade spring-security to 5.8

  About GeoServer 2.26 Series

  Additional information on GeoServer 2.26 series:

  • GeoServer 2.26 User Manual
  • State of GeoServer 2.26
  • GeoServer 2024 Q3 Developer Update
  • Raster Attribute Table extension
  • Community module graduation, amending generality rule
  • Individual contributor clarification
  • Migrate geoserver-users from SourceForge to discourse

  Release notes: ( 2.26.0 | 2.26-M0 )

• 17 September 2024
• 11:00

  Mappery: Watervliet Shaker Village

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Patrick Curley shared this – A map of the Watervliet Shaker Village at the Shaker Heritage Society in Albany, NY.

• 10:37

  World Level Zero

  sur Google Maps Mania
  How well traveled are you?My new map World Level Zero turns your travel experiences into a global achievement tracker. Whether you've been globetrotting for years or are just getting started, World Level Zero allows you to plot your personal journey across the globe and turn your wanderlust into a tangible score.What Is World Level Zero?At its core, World Level Zero revolves around a simple

• 16 September 2024
• 11:23

  geomatico: Misión exploratoria de visualización raster serverless: COG en Maplibre y más allá

  sur Planet OSGeo

  Jornadas SIG Libre 2024

  Conferencia sobre cómo consumir y visualizar datos en formato raster desde la nube en la XVII Edición de las Jornadas de SIG Libre, ponentes: Francisco Pérez Sampayo y Óscar Fonts

• 11:00

  Mappery: 50 Yard Line Map of Illinois

  sur Planet OSGeo
  

  Doug shared this, he said “Go Penn State!” whatever that means to a Brit?

• 9:30

  Every Basketball Court on Google Maps

  sur Google Maps Mania
  The Pudding has mapped Every Outdoor Basketball Court in the U.S.A.. I'm not sure why The Pudding decided to collate satellite imagery of every basketball court visible in Google Maps' aerial imagery but it is quite fun to play with.My guess is that Every Outdoor Basketball Court in the U.S.A. is an experiment by The Pudding in using computer vision to detect, recognize and classify objects in

• 8:00

  From GIS to Remote Sensing: Tutorial: Random Forest Classification Using the Semi-Automatic Classification Plugin

  sur Planet OSGeo
  This is a tutorial about the land cover classification using the Random Forest algorithm in the Semi-Automatic Classification Plugin (SCP).Please note that the installation of the dependency scikit-learn is required (see Plugin Installation). It is assumed that you have already read the Basic Tutorials.Following the video tutorial.
  
  Read more »
• 2:00

  PostGIS Development: PostGIS 3.5.0rc1

  sur Planet OSGeo

  The PostGIS Team is pleased to release PostGIS 3.5.0rc1! Best Served with PostgreSQL 17 RC1 and GEOS 3.13.0.

  This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. SFCGAL 1.4+ is needed to enable postgis_sfcgal support. To take advantage of all SFCGAL features, SFCGAL 1.5 is needed.

  3.5.0rc1

  • source download md5
  • NEWS
  • PDF docs: en ja, zh_Hans, fr

  This release is a release candidate of a major release, it includes bug fixes since PostGIS 3.4.3 and new features.

  Changes since 3.5.0beta1 are as follows:

  • #5779 Failures building in parallel mode (Sandro Santilli)
  • #5778, Sections missing in What’s new (Regina Obe)
• 2:00

  PostGIS Development: PostGIS 3.5.0beta1

  sur Planet OSGeo

  The PostGIS Team is pleased to release PostGIS 3.5.0beta1! Best Served with PostgreSQL 17 RC1 and GEOS 3.13.0.

  This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. SFCGAL 1.4+ is needed to enable postgis_sfcgal support. To take advantage of all SFCGAL features, SFCGAL 1.5 is needed.

  3.5.0beta1

  • source download md5
  • NEWS
  • PDF docs: en ja, zh_Hans, fr

  This release is a beta of a major release, it includes bug fixes since PostGIS 3.4.3 and new features.

• 15 September 2024
• 12:00

  WhereGroup: Artenvielfalt, Naturschutz und Rohstoffe? Kein Widerspruch! Die bundesweite Biodiversitätsdatenbank der Baustoff-Steine-Erden-Industrie

  sur Planet OSGeo
  Interview mit Tanja Lenz, Leiterin Reporting und Statistik beim Bundesverband Baustoffe - Steine und Erden e.V.
• 12:00

  Mappery: The Travels of Marco Polo

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Reinder spotted this exquisite flyleaf detailing the travels of Marco Polo. I could gawp at this for ages without ever turning a page. The cover is pretty amazing too.

  BTW, today is Marco Polo’s birthday (born in 1254)

  

• 14 September 2024
• 15:30

  Scrambled Maps on Toast

  sur Google Maps Mania
  I have a new favorite daily breakfast map game. Everyday my espresso and avocado toast is now served with a side dish of Scrambled Maps.Scrambled Maps is a new daily map challenge. Everyday Scambled Maps presents you with a map of a different city of the world. The only problem is that all the map tiles on this city map have been mixed up. Your task is simply to drag the tiles back into the

• 11:00

  Mappery: Dena’ina

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Greg Fiske said “Admiring the nexus of #IndigenousArt and #mapsinthewild this week. Dena’ina land” In case you are wondering Dena’ina is in south Alaska (the map shows the whole of Alaska)

  
• 13 September 2024
• 11:00

  Mappery: World Time

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Michel Stuyts asks “Am I the only one who sees this kind of clock in a shop and the first thing that comes to mind is: I wonder what kind of projection they used?”

  The answer is definitely not! There are thousands of map lovers here who would love to answer you Michel

• 10:59

  Create an AI Poster for Your Location

  sur Google Maps Mania
  The Global Culture Map is a fun little tool which uses AI to create a poster for any location chosen on an interactive. Simply click on the Global Culture Map and it will use a generative AI to design a poster based on that location.Currently I would say that the Global Culture Map is an interesting fun experiment rather than a completed, fully-realized AI poster creation tool. At the moment the

• 12 September 2024
• 14:00

  Fernando Quadro: 5 maneiras de usar IA generativa em seus aplicativos geoespaciais

  sur Planet OSGeo

  A IA generativa claramente faz jus ao hype. Onde a localização importa, os LLMs trazem muitas oportunidades para melhorar seus aplicativos GIS e facilitar as interações com os usuários ao introduzir solicitações de linguagem natural.

  Aqui estão 5 maneiras de usar IA generativa em seus aplicativos geoespaciais:

  Melhore a busca por dados com pesquisa semântica
  A pesquisa semântica melhora drasticamente os resultados de uma pesquisa lexica simples porque a IA entende o significado das solicitações, sem prestar atenção às palavras escolhidas.
  A pergunta “Quando as lixeiras são recolhidas” encontrará resultados sobre “Política de coleta de lixo”, enquanto a pesquisa lexica não pode corresponder a nenhuma palavra.
  Você pode ir além e usar uma abordagem híbrida (mesclando léxico e semântico) para ajustar sua pesquisa.

  Enriqueça seu conjunto de dados extraindo dados estruturados de texto não estruturado
  Os LLMs podem extrair valores estruturados de dados não estruturados, como texto. Quando você tem apenas um título e/ou uma descrição sobre seu conjunto de dados, a IA pode extrair palavras-chave, temas ou qualquer outra informação contextual contida na descrição. Essas informações extraídas podem então ser indexadas para ajustar a pesquisa. Este método pode ser usado para enriquecer registros de metadados e conjuntos de dados.
  Por exemplo, extrair pontos de vista de uma descrição de trilha

  Conduza seu aplicativo geoespacial com ferramentas e chamadas de função
  Com a chamada de função, os modelos de IA fornecem uma maneira de especificar diferentes ações que o LLM deve entender de sua solicitação e chamar os métodos apropriados com os argumentos correspondentes diretamente do seu código. Você pode então conduzir seu aplicativo por solicitações naturais (texto ou voz).
  Por exemplo: Adicione ciclovias ao mapa, ative o modo escuro etc.

  Desenvolva habilidades de inteligência de localização com modelos text2sql específicos
  Modelos de IA específicos realmente brilham ao transformar uma solicitação do usuário em uma consulta SQL. Isso permite que o usuário solicite qualquer informação complexa oculta em seu banco de dados. O modelo definitivo para aplicações geoespaciais pode ser um modelo text2postgis que permite qualquer consulta espacial para sua aplicação, como junções espaciais, buffers, agrupamento, distribuições h3 e muito mais possibilidades.
  Por exemplo: encontre todos os restaurantes a 1 km de qualquer hotel em Paris.

  Crie seu chatbot personalizado com agentes
  Com agentes, você pode usar LLMs para escolher uma sequência de ações a serem tomadas. Isso significa que a IA escolherá por conta própria quais métodos chamar, sequencialmente, para responder à sua solicitação. Uma dessas ações pode ser pedir esclarecimentos ao usuário sobre sua solicitação, criando uma conversa com o usuário. Além disso, ajuda a entender como a IA constrói os resultados, pois o agente está lhe dizendo o que ele está realmente fazendo para atender à sua demanda.

  Por exemplo: encontre todos os restaurantes a 1 km de qualquer hotel em Paris.
  Extraindo a geometria de Paris
  Colocando todos os hotéis contidos nessa geometria
  Construindo um buffer de 1 km ao redor das geometrias de pontos de hotéis
  Colocando todos os restaurantes contidos nesses buffers

  Como você vê, a IA Generativa oferece habilidades inestimáveis ??para impulsionar seus aplicativos geoespaciais para o próximo nível e realmente ajudar seus aplicativos a serem realmente consumidos pelos usuários. Ao combinar todas essas técnicas, você pode acabar construindo um chatbot de inteligência de localização para resolver quaisquer preocupações territoriais e ajudar no processo de tomada de decisão em qualquer escala.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:00

  Mappery: Salt Lake City Woodcarving

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Matt Malone shared this, he said “Stumbled upon this excellent woodcarved street map of Salt Lake City recently. Airports should have their own #MapsInTheWild category.” We don’t really do categories on Mappery because I would forget to tag things and Arnaud or Dan would probaly tag them differently and there chaos lies.

  Cracking piece of woodwork though!

• 8:49

  The EJAtlas: A Map for Environmental Justice

  sur Google Maps Mania
  Around the world the ever demanding quest for economic growth and profit is having an impact on natural environments. The result is that local communities and groups are often forced into fighting governments and multinational companies in order to try to save their local environments from the eternal forces of 'progress'.The Environmental Justice Atlas has set itself the task of documenting

• 2:00

  GeoServer Team: CVE-2024-36401 Remote Code Execution (RCE) vulnerability in evaluating property name expressions

  sur Planet OSGeo

  The GeoServer community has been under considerable strain responding to CVE-2024-36401. This vulnerability stems from GeoTools library CVE-2024-36404.

  This vulnerability, in the handling of XPath expressions, affords a “remote code execution” attack that is under active exploit. A remote code execution (RCE) attack allows an attacker to run malicious code on your computer or network.

  For more information:

  • GeoServer 2.25.2 Release (Jun 18, 2024)
  • GeoServer 2.24.4 Release (Jun 18, 2024)
  • CVE-2024-36401 (July 1, 2024)
  • CISA Warns of Actively Exploited RCE Flaw in GeoServer GeoTools Software (The Hacker News, July 18, 2024)
  • GeoServer Vulnerability Targeted by Hackers to Deliver Backdoors and Botnet Malware (The Hacker News, September 6, 2024)

  Q: Why have I been directed to this post?

  You are responsible for running a GeoServer instance that has not been updated.

  1. CVE-2024-36401 provides mitigation instructions which you should perform immediately.

     Please stop reading and do this now.

  2. Update your instance: Upgrading existing versions (User Guide)

     The instructions include notes on upgrading specific versions. Please read carefully to see if any manual changes are required.

  Q: Do I have to update or is a patch available?

  With such a serious issue several service providers have stepped forward to make fixes available for prior releases.

  Full release:

  • GeoServer 2.23.6 Release (GeoCat)

  Patch provided with CVE-2024-36401 report:

  • GeoServer 2.25.1 (GeoSolutions)
  • GeoServer 2.24.3 (GeoSolutions)
  • GeoServer 2.24.2 (GeoSolutions)
  • GeoServer 2.23.2 (GeoSolutions)
  • GeoServer 2.22.2 (GeoSolutions)
  • GeoServer 2.21.5 (GeoSolutions)
  • GeoServer 2.21.4 (GeoSolutions)
  • GeoServer 2.20.7 (GeoSolutions)
  • GeoServer 2.20.4 (GeoSolutions)
  • GeoServer 2.19.2 (GeoSolutions)
  • GeoServer 2.18.0 (GeoSolutions)

  Free software is a participation sport - to create a patch for a prior release volunteer with community development.

  Q: How often should I upgrade GeoServer?

  GeoServer operates with a time boxed release cycle, maintaining “stable” and “maintenance” releases, over the course of a year.

  • Upgrade GeoServer twice a year as new stable releases are made.

  • Once the release you are using has entered “maintenance” it is a good idea to upgrade (before the release is no longer supported).

  • GeoServer security policy provides one year of support. You may also contact our service providers for extended support beyond this timeframe.

  Q: Notification of security vulnerabilities?

  Stay up to date:

  1. Please monitor release announcements for the heading “Security Considerations”.

     Security Considerations

     This release addresses security vulnerabilities and is considered an essential upgrade for production systems.

     • CVE-2024-36401 Critical

     You can review the release announcement, and in this case with a “Critical” vulnerability decide to update.

  2. When everyone has had an opportunity to update the details of the vulnerability are announced.

     Security Considerations

     This release addresses security vulnerabilities and is considered an essential upgrade for production systems.

     • CVE-2024-36401 Remote Code Execution (RCE) vulnerability in evaluating property name expression (Critical)

  3. As GeoServer has now adopted use CVEs for publication you may also have success with vulnerability scanning tools.

     

     These tools function when the vulnerability is published, and do not provide any advance notice.

  Q: Notification of security reports?

  As security reports contain sensitive information they are only shared with representatives of the geoserver-security email list.

  Participation in geoserver-security, like commit access, is volunteer based and reflects trust.

  Please review GeoServer Security Policy if you are in a position to help out.

• 11 September 2024
• 15:00

  Bentley Systems increases investment in OGC and reinforces commitment to Open Standards following Cesium acquisition

  sur Open Geospatial Consortium (OGC)

  The Open Geospatial Consortium (OGC) is pleased to announce that infrastructure engineering software company Bentley Systems is increasing its investment and engagement in OGC—and further strengthening its commitment to growing an open ecosystem.

  Bentley recently acquired Cesium, a fellow OGC member and the creator of 3D Tiles, an OGC Community Standard for massive heterogenous 3D geospatial content.

  Bentley’s increased investment in OGC, coupled with its acquisition of Cesium, signals their commitment to a future built around open standards, data, and infrastructure. OGC’s trusted community of problem solvers leverages the power of geography, open standards, and interconnected systems to address real-world problems while opening up opportunities for commercial growth.

  “We are pleased to see this increased investment in OGC by Bentley, and their support to us as a Principal member,” said Peter Rabley, Chief Executive Officer, OGC. “As a Principal Member of OGC, Bentley will play a significant role serving on OGC’s Executive Planning Committee and participating in final approval decisions for all OGC Standards and nominations to the Board of Directors.”

  Patrick Cozzi, Chief Platform Officer, Bentley, and Cesium founder, commented, “The success and impact of 3D Tiles as an open standard reinforces our belief that openness and interoperability are essential to making the best use of location information to benefit society. We look forward to continuing to work within the OGC community as part of Bentley.”

  “Bentley is a strong supporter of open data ecosystems,” added Julien Moutte, Chief Technology Officer, Bentley Systems. “As a principal member of OGC, we are committing further resources to accelerate the development and adoption of open standards that benefit applications for the built and natural environment.”

  About OGC
  The Open Geospatial Consortium (OGC) is a membership organization dedicated to using the power of geography and technology to solve problems faced by people and the planet. OGC unlocks value and opportunity for its members through Standards, Innovation, and Policy & Advocacy. Our membership represents a diverse and active global community drawn from government, industry, academia, international development agencies, research & scientific organizations, civil society, and advocates.
  Visit ogc.org for more information about our work.

  About Bentley Systems
  Bentley Systems (Nasdaq: BSY) is the infrastructure engineering software?company. Bentley provides innovative software to advance the world’s infrastructure – sustaining both the global economy and environment. Bentley’s industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities. Bentley’s offerings, powered by the iTwin?Platform for infrastructure digital twins, include MicroStation and Bentley Open?applications for modeling and simulation, Seequent’s software for geoprofessionals, and Bentley Infrastructure Cloud encompassing ProjectWise?for project delivery, SYNCHRO?for construction management, and AssetWise?for asset operations. Bentley Systems’ 5,200 colleagues generate annual revenues of more than $1 billion in 194 countries.

  About Cesium
  Cesium is the open platform for 3D Geospatial. Cesium created 3D Tiles, the Open Geospatial Consortium community standard for streaming massive 3D geospatial datasets. Use Cesium ion to optimize, host, and combine your data with curated global 3D content and stream to any device. With unique expertise at the intersection of 3D geospatial and computer graphics, Cesium is deeply committed to openness and interoperability through open standards, open APIs, and open source offerings like CesiumJS, Cesium for Unreal, Cesium for Unity, and Cesium for Omniverse. Originally built for Aerospace, Cesium is now used to power thousands of applications in industries like Defense, Architecture, Engineering, Construction and Operations, Commercial real estate, urban planning, and more.

  The post Bentley Systems increases investment in OGC and reinforces commitment to Open Standards following Cesium acquisition appeared first on Open Geospatial Consortium.

• 11:20

  The Map to the White House

  sur Google Maps Mania
  NBC has launched the 2024 edition of its Road to 270 interactive electoral college map. The map visualizes the current likely, possible and fantastical outcomes of the 2024 U.S. Presidential race. Last night Kamala Harris and Donald Trump went head-to-head in their first presidential debate. The Philadelphia debate was a hugely significant opportunity for both Harris and Trump to present their

• 11:00

  Mappery: La Tharee

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Julien Minet shared this spectacular mappy beer bottle. “Here again an association of cartography and beers, a hand-drawn map of some part of the Ardenne printed on a special edition of the Belgian beer La Tharée”

• 3:16

  Sean Gillies: Fiona 1.10.0

  sur Planet OSGeo

  I made a software release last Tuesday. One with new features, deprecations, major refactoring, and packaging and dependency changes, not just bug fixes. Fiona 1.10.0 has three main changes: Python openers, CLI filter commands, and new data classes.

  Python openers can connect filesystems implemented in Python, like fsspec or tiledb.vfs, to GDAL's own virtual filesystem machinery. In most cases, you should reply on GDAL's built-in virtual filesystem handlers. On the other hand, if you have unique or proprietary data access protocols, then Fiona's new openers may be useful. As far as I know, Fiona (and Rasterio) have the only open source implementations of GDAL's virtual filesystem plugin system. David Hoese had the initial idea, Even Rouault helped a lot, and I got it over the finish line. I think this is right up there with MemoryFile for my favorite feature that didn't exist in Python-GIS software before.

  Fiona's CLI has three new commands, filter (strictly speaking, a new mode of this command), map, and reduce. These provide some great features for Unix-style data processing pipelines and are designed to work well with jq and programs of that nature. Think of them as the data processing part of ogr2ogr, split into 3 simpler commands, reading and writing to stdin/stdout by default, with no SQL and no need to know about different SQL dialects. The documentation contains a new tutorial about using filter, map, and reduce. This work began in planetlabs/fio-planet and now lives in the Fiona CLI core. Thank you, Tim Schaub, for stewarding the transition.

  Lastly, Fiona now longer represents GIS features (and their geometries and properties) as Python dicts, but as Python classes: fiona.model.Feature, fiona.model.Geometry, and fiona.model.Properties. These classes provide dict-like access for backwards compatibility, but raise warnings when mutated. These data classes will be immutable in version 2.0.

  A lot of GIS-Python attention has moved on to columnar data and massive amounts of time series, trajectories, telemetry, etc, using Parquet and Arrow. But, there's still a need to reason about persistent spatial things in our world and their relationships to each other. Classic GIS features, in other words. Watersheds, counties, neighborhoods. That's what Fiona remains concerned about.

• 2:00

  Camptocamp: GeoServer 3 Call for Crowdfunding

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  GeoServer is at a critical turning point and it needs your help to continue its journey as the leading free and Open Source platform for geospatial data. With GeoServer 3 we are transforming the way you interact with geospatial data—making it faster, more intuitive, and more secure.
• 10 September 2024
• 21:49

  Fernando Quadro: GeoServer 3 – Campanha de Crowdfunding

  sur Planet OSGeo

  O GeoServer precisa da sua ajuda para continuar sua jornada como a principal plataforma gratuita e de código aberto para dados geoespaciais. Com o GeoServer 3, estamos transformando a maneira como você interage com dados geoespaciais, tornando-os mais rápidos, intuitivos e seguros.

  Esta grande atualização, liderada pela Camptocamp, GeoSolutions e GeoCat, fornecerá:

  • Desempenho futuro: um núcleo modernizado para compatibilidade com as mais recentes tecnologias de gerenciamento e implantação de dados.
  • Processamento de imagem aprimorado: manuseio mais rápido e suave de imagens espaciais e conjuntos de dados maiores.
  • Segurança e conformidade aprimoradas: atenda aos padrões regulatórios e proteja seus dados com os mais recentes aprimoramentos de segurança.
  • Experiência do usuário simplificada: navegação mais fácil, integração de novos serviços e capacitação de usuários em todos os níveis.

  O escopo deste trabalho está além de atualizações de rotina ou manutenção, já que a transição para o GeoServer 3 requer um amplo redesenvolvimento dos sistemas principais, bem como a implementação de práticas de segurança modernas e também testes e validação completos em todas as extensões do GeoServer.

  Os membros do consórcio – Camptocamp, GeoSolutions e GeoCat – têm uma longa história de suporte e contribuição ao GeoServer e estão totalmente comprometidos com o sucesso desta migração. No entanto, este é um grande esforço que não pode ser concluído sem o suporte da comunidade.

  Ao apoiar esta campanha de crowdfunding, você está investindo no futuro do GeoServer e ajudando a sustentar a comunidade geoespacial inovadora e de código aberto.

  1. Por que GeoServer 3?

  À medida que o cenário digital evolui, manter-se atualizado com as últimas tecnologias não é mais opcional — é essencial. O GeoServer 3 está sendo desenvolvido para enfrentar desafios cruciais e garantir que o GeoServer continue sendo uma plataforma confiável e segura para o futuro. Vários fatores-chave tornam esta atualização crítica agora:

  • Conformidade regulatória: Novas regulamentações, incluindo a lista de vulnerabilidades exploradas conhecidas da CISA, exigem que os sistemas sejam totalmente corrigidos para garantir a prontidão operacional. Sem as últimas atualizações, o GeoServer corre o risco de ficar aquém desses padrões, e é por isso que migrar para o Spring 6 é essencial.
  • Fim do suporte para o Spring 5: Em janeiro de 2025, o Spring 5 não receberá mais atualizações de segurança, deixando os sistemas vulneráveis. Como o GeoServer opera como middleware entre serviços da web e camadas de dados essenciais, esta atualização para o Spring 6 é crucial para manter conexões seguras e proteger dados de possíveis violações.
  • Melhorias de segurança: A atualização para o Spring 6 habilita protocolos OAuth2 para autenticação segura, especialmente crítica para uso em larga escala ou em nível empresarial. Esses avanços ajudarão as organizações a atender aos requisitos de segurança em evolução e proteger dados geoespaciais confidenciais.
  • Mudança para o JDK 17: Esta atualização também marca a transição do GeoServer para o JDK 17, que traz melhorias em desempenho, segurança e suporte de longo prazo. Manter o GeoServer alinhado com as versões mais recentes do Java garante compatibilidade com as modernas tecnologias de implantação Tomcat 10 e Jakarta e prepara a plataforma para o futuro.
  • Processamento de imagem aprimorado: O GeoServer 3 substituirá a biblioteca Java Advanced Imaging (JAI) desatualizada pelo kit de ferramentas ImageN mais moderno e flexível. Esta mudança aumentará significativamente os recursos de processamento de imagem, permitindo um manuseio mais rápido de grandes conjuntos de dados espaciais e melhorando a compatibilidade com Java.
  • Conjunto de tecnologia à prova do futuro: Com a migração para o Spring 6 e a mudança para o JDK 17, o GeoServer 3 garante viabilidade de longo prazo. Abordar toda a pilha do GeoServer, incluindo os componentes corporativos GeoFence e Cloud Native GeoServer, permite que as organizações adotem perfeitamente a infraestrutura moderna e os modelos de implantação sem comprometer o desempenho ou a segurança.

  Com este trabalho, o GeoServer está caminhando para um futuro mais seguro e de alto desempenho, pronto para atender às necessidades em evolução da comunidade geoespacial.

  2. Sobre a Campanha de Crowdfunding

  Embora o consórcio esteja totalmente comprometido com esse esforço, o tamanho da tarefa significa que precisamos de suporte financeiro adicional para que isso aconteça. É aqui que você entra. Ao contribuir para esta campanha de financiamento coletivo, você está apoiando diretamente os desenvolvedores e engenheiros que realizarão a atualização, garantindo o sucesso contínuo do GeoServer.

  Seu suporte, seja como indivíduo, instituição pública ou provedor de serviços, é vital. Ao contribuir para esta campanha de financiamento coletivo, você está investindo no futuro da tecnologia geoespacial de código aberto. O financiamento coletivo será estruturado em duas fases para garantir o sucesso:

  • Fase de compromisso: patrocinadores e membros da comunidade prometerão seu suporte financeiro durante esta fase, mas nenhum fundo será coletado. O objetivo é atingir uma meta predefinida que cubra todo o escopo de trabalho necessário para a migração.
  • Ativação do financiamento: assim que a meta for atingida, o financiamento coletivo será ativado e os patrocinadores serão faturados pelos valores prometidos. Isso garante que haja suporte financeiro suficiente para concluir a migração sem correr o risco de subfinanciamento.

  Essa abordagem estruturada garante que o GeoServer 3 seja totalmente financiado antes de qualquer trabalho começar, evitando o risco de uma migração incompleta. Isso garante que o projeto terá os recursos necessários para ser concluído em sua totalidade.

  3. Como participar

  O GeoServer tem a confiança de milhares de organizações no mundo todo. Agora é a hora de dar um passo à frente e se juntar a essa comunidade de apoiadores.

  Ao doar, você ajudará a garantir o futuro do GeoServer como uma plataforma de alto desempenho e código aberto. Cada contribuição conta.

  Pronto para dar suporte ao GeoServer 3? Entre em contato pelo e-mail gs3-funding@googlegroups.com para expressar seu interesse ou prometer seu apoio.

  Juntos, podemos garantir o futuro do GeoServer nos próximos anos.

• 17:35

  GeoCat: GeoServer 3 Call for Crowdfunding

  sur Planet OSGeo

  GeoServer is at a critical turning point and it needs your help to continue its journey as the leading free and open-source platform for geospatial data. With GeoServer 3 we are transforming the way you interact with geospatial data—making it faster, more intuitive, and more secure.

  This major upgrade, led by Camptocamp, GeoSolutions, and GeoCat, will deliver:

  • Future-Proof Performance: A modernized core for compatibility with the latest data management and deployment technologies.

  • Enhanced Image Processing: Faster, smoother handling of spatial imagery and larger datasets.

  • Improved Security and Compliance: Meet regulatory standards and protect your data with the latest security enhancements.

  • Streamlined User Experience: Easier navigation, integrating new services, and empowering users at all levels.

  The scope of this work is beyond routine updates or maintenance since the transition to GeoServer 3 requires extensive redevelopment of core systems as well as implementing modern security practices and also thorough testing and validation across all GeoServer extensions.

  The consortium members – Camptocamp, GeoSolutions, and GeoCat– have a long-standing history of supporting and contributing to GeoServer and are fully committed to the success of this migration. However, this is a major effort that cannot be completed without community support.

  By supporting this crowdfunding campaign, you are investing in the future of GeoServer and helping to sustain the innovative, open-source geospatial community.

  Why GeoServer 3

  As the digital landscape evolves, staying up-to-date with the latest technology is no longer optional — it’s essential. GeoServer 3 is being developed to address crucial challenges and ensure that GeoServer remains a reliable and secure platform for the future. Several key factors make this upgrade critical right now:

  • Regulatory Compliance: New regulations, including the CISA known exploited vulnerabilities list, demand that systems be fully patched to ensure operational readiness. Without the latest updates, GeoServer risks falling short of these standards, which is why migrating to Spring 6 is essential.

  • End of Support for Spring 5: By January 2025, Spring 5 will no longer receive security updates, leaving systems vulnerable. As GeoServer operates as middleware between web services and essential data layers, this upgrade to Spring 6 is crucial to maintaining secure connections and protecting data from potential breaches.

  • Security Enhancements: Upgrading to Spring 6 enables OAuth2 protocols for secure authentication, especially critical for large-scale or enterprise-level use. These advancements will help organizations meet evolving security requirements and protect sensitive geospatial data.

  • Switching to JDK 17: This upgrade also marks GeoServer’s transition to JDK 17, which brings improvements in performance, security, and long-term support. Keeping GeoServer aligned with the latest Java versions ensures compatibility with modern deployment technologies Tomcat 10 and Jakarta and future-proofs the platform.

  • Improved Image Processing: GeoServer 3 will replace the outdated Java Advanced Imaging (JAI) library with the more modern and flexible ImageN toolkit. This switch will significantly enhance image processing capabilities, enabling faster handling of large spatial datasets and improving Java compatibility.

  • Future-Proof Technology Stack: With the migration to Spring 6 and the shift to JDK 17, GeoServer 3 ensures long-term viability. Addressing the entire GeoServer stack, including enterprise components GeoFence and Cloud Native GeoServer, allows organizations to seamlessly adopt modern infrastructure and deployment models without compromising performance or security.

  With this work, GeoServer is moving into a more secure, high-performing future—ready to tackle the evolving needs of the geospatial community. For more information on the work to be performed and its phases, please visit this document.

  Crowdfunding structure

  The crowdfunding will be structured in two phases to ensure success:

  1. Commitment Phase: Sponsors and community members will pledge their financial support during this phase, but no funds will be collected. The goal is to reach a predefined target that covers the full scope of work necessary for the migration.
  2. Funding Activation: Once the target is reached, the crowdfunding will be activated, and sponsors will be invoiced for their pledged amounts. This ensures there is enough financial backing to complete the migration without risking underfunding.

  This structured approach ensures that GeoServer 3 is fully funded before any work begins, preventing the risk of an incomplete migration. This guarantees that the project will have the necessary resources to be completed in its entirety.

  This structure forms a multi-party agreement:

  • Consortium: Three companies are forming a consortium (Camptocamp, GeoSolutions, and GeoCat) providing expertise, a proven track record, and capacity. These companies are also taking on responsibility for project management, estimating, and importantly risk.
  • Supporters: We are seeking organisations to pledge their support via funding during the commitment phase. No funds will be collected until we reach the target established below for the full scope of work necessary.
  • Community: We ask that our community step forward to match the contributions above with both financial contributions and in-kind development and testing.

  Crowdfunding target

  The financial target is ambitious, 550,000.00 €. CamptoCamp, GeoCat and GeoSolutions have generously stepped up and will provide an initial seed fund of 50,000.00€ each, which means the current funding goal starts at 400,000.00 €. Here below you will find the live updated situation as far as committed funding is concerned.

  How to participate

  If you are ready to support GeoServer 3, please, fill this online form or contact us at gs3-funding@googlegroups.com to express your interest and pledge your support.

  Together, we can secure the future of GeoServer for years to come.

  The post GeoServer 3 Call for Crowdfunding appeared first on GeoCat bv.

• 17:04

  GeoSolutions: GeoServer 3 Call for Crowdfunding

  sur Planet OSGeo

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• 14:00

  Fernando Quadro: Geotecnologias e o Combate à Violência

  sur Planet OSGeo

  A violência, principalmente os Crimes Violentos Letais Intencionais (CVLIs), são um problema grave no Brasil. Essa categoria engloba homicídios dolosos, latrocínios (roubos seguidos de mortes) e lesões corporais seguidas de morte. Analisar a evolução desses índices nas maiores cidades do país e em âmbito nacional e fundamental para compreender as dinâmicas da violência urbana e para o desenvolvimento de políticas púbicas eficazes que propõem um enfoque multifacetado que combine ações repressivas e preventivas, com base em dados e análises geoespaciais.

  Quais ferramentas podem nos auxiliar na gestão da segurança pública?

  Visualização de padrões espaciais da criminalidade: Mapas de calor e outras ferramentas identificam áreas com alta concentração de CVLIs, auxiliando na alocação de recursos policiais e na definição de zonas prioritárias para ações preventivas.
  Análise de tendências e identificação de focos de violência: Dados históricos e em tempo real permitem identificar tendências da criminalidade, prever picos de violência e direcionar ações de forma proativa.
  Monitoramento de operações policiais em tempo real: O rastreamento de viaturas e equipes facilita a coordenação de operações e otimiza a resposta a crimes em andamento.
  Investigação de crimes com mais precisão: A análise espacial de cenas de crime, incluindo sobreposição de dados de diferentes fontes, pode auxiliar na investigação e na identificação de suspeitos.
  Engajamento da comunidade na prevenção da violência: O compartilhamento de informações geoespaciais com a comunidade pode aumentar a percepção de segurança e fomentar a colaboração na prevenção da criminalidade.

  A integração da Geotecnologia com as estratégias de combate à violência pode fortalecer significativamente as ações de segurança pública:

  Fortalecimento das forças policiais: Pode auxiliar no treinamento de policiais na análise espacial, permitindo uma melhor compreensão da dinâmica da criminalidade em suas áreas de atuação.
  Prevenção através da educação e inclusão social: Pode ser utilizada para mapear e direcionar programas sociais e educativos para áreas com maior vulnerabilidade à violência, promovendo a inclusão social e prevenindo a criminalidade.
  Melhoria do sistema de justiça criminal: A análise geoespacial pode auxiliar na investigação de crimes, na identificação de reincidentes e na definição de medidas socioeducativas mais eficazes.

  Através da inteligência geográfica, é possível ter uma visão mais completa e precisa da criminalidade, permitindo ações mais eficazes na prevenção e no combate à violência.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:34

  Tracking Russia's 'Dark' Shadow Ships

  sur Google Maps Mania
  Asya Energy's AIS track places it in the Norwegian Sea, at the same time satellite imagery shows it at the ALNG2 plantIn response to Russia's invasion of Ukraine the West has imposed sanctions on the sale of Russian oil. In an attempt to avoid these sanctions Russia has been operating a shadow fleet of covert oil tankers. The West has been working on strengthening international cooperation to try

• 11:00

  Mappery: Noel Gallagher Goes European

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  

  Berndasn shared this pic from a Noeel Gallagher concert in Amsterdam

• 09 September 2024
• 12:18

  AI Search of San Francisco

  sur Google Maps Mania
  AI and machine learning are revolutionizing the field of remote sensing. The ability of machine learning algorithms to automatically detect and identify objects in satellite images has enhanced our abilities to monitor deforestation, identify illegal fishing, track wildlife, and more quickly implement disaster response.Thanks to AI it is now also possible to see who owns a Tesla car in San
• 07 September 2024
• 11:10

  China vs America - World Influence Map

  sur Google Maps Mania
  The Global Influence Index (GII) shows the influence of the United States and China on 191 countries around the world based on 28 different economic, security, and political criteria. Using the GII's new 3D globe you can tell at a glance where in the world either the U.S. or China has the greatest influence.Individual countries on the GII globe are colored to show whether they are aligned more

• 11:00

  Mappery: Argentina on Cow Hide

  sur Planet OSGeo
  

  Jachym Cepicky spotted this leatgher map of Argentina in Cafe Dlask in Varnsdorf

  MapsintheWild Argentina on Cow Hide

• 1:18

  Sean Gillies: Black Squirrel volunteering

  sur Planet OSGeo

  Black Squirrel is the local trail half-marathon that I've finished five times since 2016. I registered to run it again this year, but had to scratch because of my Achilles tendonitis.

  Instead, I'm going to volunteer at the event. I'll be among the first at Lory State Park, helping arriving runners park their cars and find the starting line. After that, I'm going to a trail intersection to keep first-time runners on course as they pour down the Howard Trail. It's going to be a beautiful late summer morning and I'm looking forward to being part of the event.

• 06 September 2024
• 14:46

  GeoSolutions: FREE Webinar: MapStore Major Release 2024.01 and Beyond

  sur Planet OSGeo

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

• 14:00

  Mappery: River Thames coffee table

  sur Planet OSGeo
  

  This rather fine coffee table, which used to belong to my father, depicts the River Thames all the way from source to mouth. The river has been carved into the table and then painted silver, with both ends then wrapping around the side of the table. I’m not sure who the original crafts-person was but its quite fun!

  Happy birthday Mappery!

  MapsintheWild River Thames coffee table

• 12:00

  Mappery: Beer for our Birthday, Mr Wainwright?

  sur Planet OSGeo
  

  Regulars will know that we get a lot of maps in the wild which feature, wine, spirits or beer. I couldn’t resist this Wainwright beer glass (suitably filled) for the last of my birthday sequence.

  Nick Hill sent this pic.

  “Not sure if you’ve had this one before? I saw this map of the Lake District on my glass while enjoying a pint of Wainwright Gold in the Queen of Hearts pub in Daventry.

  Cheers, Nick”
  
  Well cheers to you Nick and to all of our MapsintheWild community, drink a toast to all of our contributors today if you can.

  MapsintheWild Beer for our Birthday, Mr Wainwright?

• 11:00

  Mappery: Mappy Birthday!

  sur Planet OSGeo

  Happy Birthday to the incredible @mapsinthewild! ? Mappery has been a constant source of inspiration for my wanderlust adventures. I’m sharing a photo of a motorbike I spotted in Toulouse, France to celebrate this special day. The licence plate from Germany stands for a long journey. The vibrant city always brings back fond memories of my years there as a student: a nice combo to share.

  

  MapsintheWild Mappy Birthday!

• 10:00

  Mappery: Mappy Birthday! – Meridian 17

  sur Planet OSGeo
  

  Today is Mappery’s 6th birthday.

  Remarkable really that we have kept this up for 6 years, that’s just over 1600 posts with almost 2,500 images, 300 weekly email newsletters, thousands of social media follows (no longer X’ing) and a lot of support from our readers and contributors who have made #MapsintheWild into a community.

  So thanks to Ken who helped me to start Mappery when we were on safari together, thanks to Arnaud and Dan who help to share the load and keep the site running and thanks to everyone who has contributed a MapintheWild.

  Today’s birthday post is the 17th Meridian line. Why? Well unsurprisingly, for regular readers/followers, this pic came from Reinder Storm, in our six years Reinder has contributed over 180 of the posts that we have featured which is pretty remarkable. I know this isn’t an actual map but it testifies to the map geekiness and passion of our contributors and followers -THANK YOU REINDER

  Reinder commented “… passes right through Wroc?aw, Poland. The meridian 17° east of Greenwich is a line of longitude that extends from the North Pole across the Arctic Ocean, Europe, Africa, the Atlantic Ocean, the Southern Ocean, and Antarctica to the South Pole”

  We’ll be pushing the boat out with a few more birthday posts today.

  MapsintheWild Mappy Birthday! – Meridian 17

• 8:55

  2024 Fall Foliage Map

  sur Google Maps Mania
  Autumn is nearly upon us. Although the Autumn Equinox is not until the 22rd September the 2024 Smoky Mountain Fall Foliage Map shows that the most northern counties of the United States will already have begun to notice the colors of the leaves changing.Every year Smoky Mountain releases an interactive Fall Foliage Map, which plots the annual progress of when and where leaves change their colors

• 1:00

  Mappery: The City of New York has fallen over

  sur Planet OSGeo
  

  A bonus pic from Ken for our birthday.

  Ken was in New York recently and he sent this map in the wild from a diner that he stopped at. To fit the map into the available space they rotated it to west up.

  MapsintheWild The City of New York has fallen over

• 05 September 2024
• 14:00

  Fernando Quadro: Geotecnologia aplicada na Silvicultura

  sur Planet OSGeo

  As conhecidas geotecnologias extrapolam os limites de sua ciência de desenvolvimento e aplicação. Dentre os vários setores produtivos nos quais ela é utilizada, a silvicultura é uma atividade que aproveita ao máximo o universo de soluções para diversos setores da gestão florestal. Tudo o que ela tem para oferecer pode ser aproveitado em benefício da gestão florestal. A geotecnologia se apresenta como uma ferramenta poderosa, oferecendo novas maneiras de se coletar dados, monitorar ecossistemas florestais e tomar decisões informadas. Atualmente é impossível imaginar que a gestão de uma floresta plantada possa ser realizada sem o uso desta potente ferramenta.

  O drone, por exemplo, como ferramenta é um grande marco na geotecnologia. A possibilidade de municiar cada equipe de campo com um drone com uma câmera fotográfica embarcada elevou o nível da geotecnologia aplicada na silvicultura a um patamar nunca vivenciado. Claro que este avanço teve que superar questões como a dificuldade no processamento de tantas imagens capturadas, na identificação de indivíduos e na separação entre espécies através de técnicas de sensoriamento remoto. Dificuldades essas que se ampliaram com o surgimento de sensores LiDAR embarcados, que detalha o espaço com precisão milimétrica, sendo certo que a resolução dessas demandas abriu muitas possibilidades para o manejo silvicultural, especialmente para o inventário florestal.

  Atualmente o estado da arte da geotecnologia aplicada na silvicultura está representada nos seguintes usos:

  Big Data Geoespacial: A explosão de dados geoespaciais gerados por uma variedade de fontes, incluindo sensores remotos, dispositivos móveis e estações de monitoramento, está impulsionando o desenvolvimento de técnicas de análise de big data geoespacial. Isso inclui algoritmos de machine learning e inteligência artificial para análise de padrões espaciais, previsão e tomada de decisões.

  Internet das Coisas (IoT) Geoespacial: A integração de sensores geoespaciais em equipamentos de monitoramento cria um ambiente de IoT geoespacial. Isso permite a coleta contínua de dados em tempo real sobre o ambiente e árvores individuais aumentando a compreensão das interações floresta-ambiente.

  Geotecnologia para Inteligência Artificial: A geotecnologia está sendo integrada a algoritmos de inteligência artificial para uma variedade de aplicações, incluindo detecção de mudanças no uso da terra, identificação de espécies individuais e doenças a partir de imagens aéreas, previsão de eventos climáticos extremos, otimização de recursos operacionais, entre outras.

  Não há dúvidas que a geotecnologia tem enorme participação no aumento da produtividade florestal experimentada nos dias de hoje, seja na melhoria do manejo, na conservação hídrica e do solo, seja no aproveitamento de regiões antes consideradas inaptas para a silvicultura.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:00

  Mappery: Global Delivery Bike (except New Zealand)

  sur Planet OSGeo
  

  Erik spotted this delivery bike in Delft. It looks as if half of New Zealand is missing.

  

  MapsintheWild Global Delivery Bike (except New Zealand)

• 9:16

  The Book Banning Map of America

  sur Google Maps Mania
  The American Library Association (ALA) reports that attempts to ban books "surged 65% in 2023 compared to 2022 numbers, reaching the highest level ever documented by ALA." Nearly half of the books targeted for banning were related to issues of LGBTQ+ communities or race.Now the ALA has partnered with Little Free Library and PEN America to release an interactive map which shows

• 2:00

  PostGIS Development: PostGIS 3.3.7

  sur Planet OSGeo

  The PostGIS Team is pleased to release PostGIS 3.4.7! This is a bug fix release.

  3.3.7

  • source download md5
  • NEWS
  • PDF docs: en
• 04 September 2024
• 23:38

  W3C Maps for HTML Community Group: MapML.js release v0.14.0: CSS and Pmtiles

  sur Planet OSGeo
  Scripting, Styling and Web Maps: Who’s On First? The Big Three

  Part of the job of being a Web standard means that you have to follow the architecture of the web, which allocates specific jobs across the Big Three languages: HTML, CSS and JavaScript.  For JavaScript, this ideally means supplying and enhancing site-specific semantics and user experience, and leaving accessibility and rendering up to the browser’s HTML infrastructure; for Cascading Style Sheets, it means supporting the HTML rendering engine through accessibility-enhancing styling instructions declared by the page according to the CSS language.  For HTML, it means parsing the page and rendering HTML elements as accessible content, and providing a DOM API to allow access to the content by JavaScript manipulation to provide and enhance effective user experiences.

  

  In the Maps for HTML universe, our goal is an update to Web standards that sees maps and location decomposed with accessibility as a precondition, into rendering, style and behaviour, and fit into the appropriate architectural domain, be that in HTML, CSS or JavaScript.  There is no support today for maps or location in any of the Big Three languages. The consequence of this lack of platform support for web maps is their exclusive and massive allocation to the JavaScript domain.  The societal implications of this misallocation are a subject for another post.

  To date, we have articulated a mechanism to embed accessible and semantic web maps and locations into an HTML viewer widget, the <mapml-viewer> element.  So far, the fit of this widget to the HTML media widget paradigm seems appropriate.  For a refresher on how the viewer works, check out our Quick Start video.

  The question that bears additional scrutiny and community involvement, and that which is the question of this post is: How can we better leverage CSS for styles of maps and location, while enhancing accessibility?  Opaque (binary) media types HTML media like video and audio don’t have much relationship with CSS, whereas map rendering has a natural connection to text and graphics styling.  It’s the natural connection of maps to web architecture that makes maps and location a good candidate for a web standard.

  What You Can Do With CSS in MapML Today – Support by GeoServer

  The main use of CSS in MapML is to style the tree of elements rooted at the <map-feature>.  The <map-feature> element is a custom element that can be obtained in a fetched MapML-format XHTML document, or found inline in HTML proper, between the <layer-> … </layer-> layer tags.  <map-feature> elements are parsed and their <map-geometry> elements rendered as a shadow-DOM embedded SVG <g> tag (group element), with different geometry values rendered within that group as <path>s within the parent <g>.  Any class attributes on the <map-feature> are copied to the root <path> element, and class attributes on descendent geometry elements are copied to the <path> that they are rendered as. This allows us to apply CSS rules to <map-feature> as though its parts were actual SVG tags, so long as the rendered feature parts can be selected via their class, which is copied from the source <map-whatever> element.  This can even be useful for making accessible interactive maps. 

  This technique  is used by GeoServer for example, which transforms Style Layer Descriptor server styles into CSS stylesheets with selectors for generated class values from the server layers’ contents.  In addition to allowing basic styling of points, lines and polygons, this facility enables GeoServer to dynamically generate and style MapML-encoded vector tiles.  The perceived performance of tiled vector maps can be acceptable, especially when such tiles are created and cached for later access, and improvements can be expected with additional specification and software development effort.  This is all pretty interesting because it is starting to show us a path to (better) integration between the native web platform languages like HTML and CSS on the one hand, and maps on the other.

  Mapbox Vector Tiles and the pmtiles Archive Format

  “pmtiles” is the name of a modern, cloud-friendly map tile archive format that is gaining popularity among web mapping applications, because it allows websites to readily serve their own map vector tile data without necessarily hosting the whole world, which is cost- and time-prohibitive.  The motivation behind pmtiles (a product of the Protomaps project) would seem to be compatible with our community’s goal of standardising maps for the web. In the words of its creator Brandon Liu, :

  Maps are everywhere on the Internet. Think of any popular retail site, travel search or local government portal. The infrastructure of the web, from languages like JavaScript, front-end frameworks, and databases, is overwhelmingly free software. Maps are one of the few remaining choke points* of an otherwise open web.

  * choke points aka control points

  pmtiles efficiently manages potentially massive amounts of tiled vector data in a single archive file.  The archive can be hosted in a variety of server environments, but the main criteria for success is that the host server is capable of http range requests. When a client needs a particular tile, it makes the request not using the zoom, row and column coordinates as URL parameters or path steps, but by transforming the tile’s coordinates to a pmtiles archive byte range, using the tile’s byte offset and length, calculated from the archive’s metadata which contains, among other information, the formula to perform the transformation.

  Under the hood, a .pmtiles archive file is a clever application of Hilbert space filling curves to efficiently compress tiles in the Web Mercator projection, encoded in the Mapbox Vector Tiles or other format (mvt).  Mvt is a kind of de facto standard among vector tile formats, of which there are many, too numerous to mention.  The protomaps-leaflet library integrates support for both .pmtiles archives as well as raw .mvt tile responses served through a web server API, following the {z}/{x}/{y} URL (template) convention.  Protomaps-leaflet styling of tiles is accomplished via “themes”, or “rules”.  Rules encode canvas 2D API call parameters on a per-tile, per-layer basis, such that map feature styles are encoded as JavaScript objects and methods that are called back by the protomaps-leaflet tile rendering engine. A theme is a named collection of rules, e.g. “light” or “dark”.

  The newly-renamed MapML.js release 0.14.0 supports pmtiles archives and .mvt format API services, including custom map styling, via a protomaps-leaflet integration, mainly through the templated <map-link> element.  Projection support is currently limited to OSMTILE maps, because of the (hopefully short-term) restriction of protomaps-leaflet to the Web Mercator projection and powers of 2 tile pyramids. Custom styles can be created and included as a “stylesheet” module by means of an exported symbol named “pmtilesStyles”, containing a defined and required JavaScript object structure.

  If you’re using GeoServer, or pmtiles / mvt support in MapML.js, or any open source component from our community in your maps, please get in touch, we’d love to hear from you about your experience.

  Call For Community

  A large measure of the payoff for the effort of building maps into HTML will be simple and decentralised access (i.e. no “choke points”) to the incredible rendering performance afforded by native code styling through CSS.  What wouldn’t be possible in such a world?  Accessible location navigation, animations, moving features, real time location updates, oh my!  Worth mentioning: the CSS development community often sets an example of dynamic, open collaboration definitely worthy of emulating, if not wholly joining forces with.

  In summary, let’s take the “special” out of spatial, and collectively imagine, design and implement a HTML+CSS engine capable of fully expressing and executing cartographic rules, for the future.

• 15:00

  OGC Membership approves Common Query Language (CQL2) as an official OGC Standard

  sur Open Geospatial Consortium (OGC)

  The Open Geospatial Consortium (OGC) is excited to announce that the OGC Membership has approved Version 1.0 of the Common Query Language (CQL2) for adoption as an official OGC Standard.

  Filtering is a fundamental operation performed on feature data to obtain a subset that contains the geospatial information a user needs. CQL2 is a filter grammar that can be used to specify how features can be filtered to obtain a subset. The Standard supports both text and JSON encodings so can be easily integrated into a variety of software applications.

  CQL2 is a revision of the original Common Query Language. While the language design is consistent with the original version, many changes and additions to improve consistency and capabilities have been made. Existing implementations of CQL will need to be updated to process filter expressions specified by CQL2.

  The OGC API – Features Standard currently uses CQL2, and other Standards that require the ability to filter data are likely to adopt it as well.  Example files and JSON, YAML, and BNF schemas have been published on the OGC schemas repository to enable software developers to rapidly implement CQL2.

  The original Common Query Language (CQL) was created as a text encoding for use in the OGC Catalogue Service Implementation Specification. CQL is based on the capabilities in the OGC Filter Encoding (FE) Standard, which was originally part of the Web Feature Service (WFS) Standard.

  CQL2 is the outcome of the work and dedication of the OGC API – Features Standards Working Group, which led the development of the Standard, including:

  • Editors:
    • Panagiotis (Peter) A. Vretanos, CubeWerx Inc.
    • Clemens Portele, interactive instruments GmbH
  • Submitters:
    • Andrea Aime, GeoSolutions di Giannecchini Simone & C. s.a.s.
    • Jeff Harrison, US Army Geospatial Center (AGC)
    • Jérôme Jacovella-St-Louis, Ecere Corporation

  As with any OGC Standard, CQL2 is free to download and implement. Interested parties can learn more on the OGC CQL2 Standard webpage.

  The post OGC Membership approves Common Query Language (CQL2) as an official OGC Standard appeared first on Open Geospatial Consortium.

• 14:00

  Fernando Quadro: Porque usar o Geography no PostGIS?

  sur Planet OSGeo

  Você sabia que ao trabalhar com grandes volumes de dados no PostGIS pode te levar a medições imprecisas?

  É verdade. Quando você armazena seus dados geoespaciais como Geometry, o PostGIS trata esses dados como um plano 2D, como se a Terra fosse uma “panqueca”.

  Mas não se preocupe, existe solução para isso. Você pode armazenar seus dados com o tipo Geography no PostGIS ao invés de Geometry.

  Isso irá dizer ao PostGIS para usar um sistema de coordenadas “arredondas”, proporcionando medições muito mais precisas.

  Nesses casos o tipo Geography é a melhor opção, e traz como benefícios:

  Dados armazenados em WGS84 (latitude/longitude) com medidas em metros
  Funções nativas especiais feitas apenas para este tipo de dados
  Perfeito para lidar com grandes regiões

  Se você tem já sua base de dados armazenada em Geometry, não se preocupe, você pode transformar seus dados em tempo de execução para Geography e obter resultados mais precisos em suas medições.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:07

  WhereGroup: Plugins – praktische Helfer in QGIS

  sur Planet OSGeo
  Dieses Mal stellen wir Ihnen eine Auswahl von fünf nützlichen Plugins aus den über 2.000 Plugins für QGIS, die Ihnen bei Ihrer täglichen Arbeit weiterhelfen.
• 11:00

  Mappery: Surficial geology of Maine

  sur Planet OSGeo
  

  Doug shared this – Surficial geology of Maine #MapsintheWild @ Watershed Art Center Newcastle, Maine

  If like me you thought Surficial Geology was a typo, read and learn

  MapsintheWild Surficial geology of Maine

• 8:20

  Write Your Name in Landsat

  sur Google Maps Mania
  the word 'love' in Landsat images Soon after the emergence of Google Maps, a short while after getting bored zooming in on their house in satellite view, some people began searching for satellite images of Earth forms and patterns which resembled letters of the alphabet - when viewed from above.The first pareidolia sufferer that I can remember becoming hooked on discovering typefaces in nature

• 2:00

  PostGIS Development: PostGIS 3.4.3

  sur Planet OSGeo

  The PostGIS Team is pleased to release PostGIS 3.4.3!

  This version requires PostgreSQL 12-17, GEOS 3.8+, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. To take advantage of all SFCGAL features, SFCGAL 1.5+ is needed.

  3.4.3

  • source download md5
  • NEWS
  • PDF docs: en, ja, fr
• 03 September 2024
• 18:42

  Oslandia: (Fr) Variabilisez vos profils QGIS avec QDT

  sur Planet OSGeo

  Sorry, this entry is only available in French.

• 14:00

  Fernando Quadro: Inteligência Artificial, GIS e Smart Cities

  sur Planet OSGeo

  As cidades inteligentes representam o futuro da vida urbana, integrando tecnologia e soluções baseadas em dados para aumentar a eficiência, a sustentabilidade e a qualidade de vida dos residentes. No centro do desenvolvimento das cidades inteligentes está o papel da inteligência artificial (IA) nos Sistemas de Informação Geográfica (GIS), revolucionando a forma como as cidades planejam, otimizam e gerem infraestruturas críticas, como redes de transporte, serviços públicos e serviços públicos.

  Nesta postagem falaremos um pouco sobre o papel multifacetado da IA ??no GIS para o planejamento de infraestrutura de cidades inteligentes, com foco em suas implicações e benefícios para o desenvolvimento urbano.

  O planeamento de infraestruturas de cidades inteligentes abrange uma vasta gama de elementos, desde sistemas de transporte inteligentes e serviços públicos energeticamente eficientes até serviços públicos responsivos e desenvolvimento urbano sustentável. O GIS alimentado por IA desempenha um papel fundamental neste processo, aproveitando dados espaciais, análises preditivas e monitoramento em tempo real para otimizar o projeto, operação e manutenção de infraestrutura para cidades inteligentes e resilientes.

  Aplicações de IA no planejamento de infraestrutura de cidades inteligentes:

  Otimização de Transporte
  Gestão de Utilidades e Eficiência Energética
  Prestação de serviço público
  Monitoramento Ambiental e Sustentabilidade

  Benefícios da IA ??no planejamento de infraestrutura de cidades inteligentes:

  Maior eficiência e otimização de recursos
  Tomada de decisão baseada em dados
  Melhor experiência do cidadão e qualidade de vida
  Desenvolvimento Sustentável e Resiliência

  Embora a IA traga benefícios significativos para o planeamento de infraestruturas de cidades inteligentes, desafios como a privacidade de dados, a segurança cibernética, a parcialidade dos algoritmos, a conformidade regulamentar e a equidade digital precisam de ser abordados. Isto requer quadros de governação robustos, envolvimento das partes interessadas, práticas éticas de IA e estratégias de planeamento urbano inclusivas para o desenvolvimento equitativo e sustentável de cidades inteligentes.

  Concluindo, o SIG alimentado por IA está a transformar o cenário do planeamento de infraestruturas de cidades inteligentes, oferecendo oportunidades sem precedentes de eficiência, sustentabilidade e inovação no desenvolvimento urbano. Ao aproveitar as capacidades da IA, as cidades podem otimizar a infraestrutura, melhorar a prestação de serviços e criar ambientes urbanos mais habitáveis ??e resilientes para as gerações vindouras. Adotar a IA no planejamento de cidades inteligentes não se trata apenas de avanço tecnológico – trata-se de construir cidades mais inteligentes, mais conectadas e sustentáveis ??que beneficiem a todos.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:56

  Mapping Moving Borders in Real-Time

  sur Google Maps Mania
  The international border between Italy and Switzerland & Austria in the Alps largely follows the path of the watershed line. Unfortunately due to global heating and shrinking glaciers the Alpine watershed line keeps on moving. The result is that the border between Italy and its Alpine neighbors is also constantly moving.In 2016 the Italian Limes project attempted to track the movement of the

• 11:00

  Mappery: Pijnacker-Nootdorp

  sur Planet OSGeo
  

  Eric said “Today I visited the municipality of Pijnacker-Nootdorp. There’s a beautiful #mapsinthewild carpet in the Council Chamber (with even half of Delft on it)”

  

  MapsintheWild Pijnacker-Nootdorp

• 1:16

  Sean Gillies: August 22, 2018: Paris in a Day

  sur Planet OSGeo

  Six years ago my family and I spent some time in France, passing through Lyon and Paris on the way back to Colorado. While Ruth stayed behind at a conference in Montpellier, Arabelle, Bea, and I did Paris in a day. We saw many bones, ate much gelato, hiked many stairs, rode many trains and buses, and enjoyed being together, seeing new places, and using our second language in one of the world's capitals. I cherish my memories of this day. I felt like I was killing the fun Francophile dad role and thoroughly enjoyed the company of my kids. I had a memorable time. We confirmed in June that Arabelle and Bea have strong, positive memories, as well.

  I went to Instagram for the first time in years to dig up a photo taken on that day that I haven't published on my blog before.

  

  A child in a blue top making a peace sign in front of the Eiffel Tower and waxing moon.

  We didn't go back to the Trocadero in June, assuming that it was closed for Olympics construction, but we did go back to Montmartre and Sacre Coeur. Both Arabelle and Bea have been cultivating Spanish as a third language since 2018 and had a chance to use it on our recent visit. We encountered a Spanish kid of Bea's age who had been separated from her parents and kept her company until we could reach her mom on the phone. She had no phone of her own, but had memorized key numbers.

• 02 September 2024
• 22:13

  Fernando Quadro: PostGIS e a Inteligência Artificial

  sur Planet OSGeo

  No atual cenário empresarial acelerado, aproveitar os dados de localização pode proporcionar uma vantagem competitiva significativa. Desde a otimização da logística e das rotas de entrega até à melhoria das experiências dos clientes através de serviços baseados em localização, a capacidade de extrair informações valiosas de dados geográficos é fundamental.

  Como você já deve saber o PostGIS é uma extensão de código aberto amplamente utilizada que adiciona suporte para objetos geográficos, permitindo que consultas SQL espaciais sejam executadas dentro do sistema de gerenciamento de banco de dados PostgreSQL. O Postgres-AI, por outro lado, é uma extensão introduzida recentemente que traz recursos de aprendizado de máquina (ML) diretamente para o PostgreSQL, permitindo treinamento e inferência de modelos no banco de dados.

  A integração do PostGIS e do Postgres-AI abre inúmeras possibilidades para inteligência de localização e análise de dados espaciais, incluindo:

  Seleção de sites de varejo e análise de mercado
  Logística e otimização da cadeia de suprimentos
  Modelagem preditiva para serviços baseados em localização
  Planejamento urbano e desenvolvimento de infraestrutura
  Monitoramento ambiental e esforços de conservação
  Marketing direcionado e segmentação de clientes

  Ao aproveitar essas ferramentas poderosas, as organizações podem tomar decisões baseadas em dados, otimizar operações e aprimorar sua compreensão de padrões e relacionamentos geográficos, ao mesmo tempo em que aproveitam o poder do aprendizado de máquina.

  Fonte: webgis.tech
  Instagram: [https:]]
  LinkedIn: [https:]]

• 11:00

  Mappery: Around the Globe

  sur Planet OSGeo
  

  From Reinder “… the title means something like ‘Around the globe’. Needs no further explanation I presume” – nope!

  MapsintheWild Around the Globe

• 10:05

  Land doesn't vote, people do!

  sur Google Maps Mania
  Engaging Data has updated its US County Electoral Map – Land Area vs Population map so that you can now zoom in and explore the election results in each state. The map allows you to see the 2020 Presidential Election election results at the county level based on land area or population size.If you select the 'Population' button on the map then the colored proportional circles change size to

• 01 September 2024
• 12:12

  TorchGeo: v0.6.0

  sur Planet OSGeo
  TorchGeo 0.6.0 Release Notes

  TorchGeo 0.6 adds 18 new datasets, 15 new datamodules, and 27 new pre-trained models, encompassing 11 months of hard work by 23 contributors from around the world.

  Highlights of this release Multimodal foundation models

  

  There are thousands of Earth observation satellites orbiting the Earth at any given time. Historically, in order to use one of these satellites in a deep learning pipeline, you would first need to collect millions of manually-labeled images from this sensor in order to train a model. Self-supervised learning enabled label-free pre-training, but still required millions of diverse sensor-specific images, making it difficult to use newly launched or expensive commercial satellites.

  TorchGeo 0.6 adds multiple new multimodal foundation models capable of being used with imagery from any satellite/sensor, even ones the model was not explicitly trained on. While GASSL and Scale-MAE only support RGB images, DOFA supports RGB, SAR, MSI, and HSI with any number of spectral bands. It uses a novel wavelength-based encoder to map the spectral wavelength of each band to a known range of wavelengths seen during training.

  The following table describes the dynamic spatial (resolution), temporal (time span), and/or spectral (wavelength) support, either via their training data (implicit) or via their model architecture (explicit), offered by each of these models:

  Model	Spatial	Temporal	Spectral
  DOFA	implicit	-	explicit
  GASSL	implicit	-	-
  Scale-MAE	explicit	-	-

  TorchGeo 0.6 also adds multiple new unimodal foundation models, including DeCUR and SatlasPretrain.

  Source Cooperative migration

  

  TorchGeo contains a number of datasets from the recently defunct Radiant MLHub:

  • AgriFieldNet Competition Dataset
  • Smallholder Cashew Plantations in Benin
  • Sentinel-2 Cloud Cover Segmentation Dataset
  • CV4A Kenya Crop Type Competition
  • Tropical Cyclone Wind Estimation Competition
  • Marine Debris Dataset for Object Detection in Planetscope Imagery
  • Rwanda Field Boundary Competition Dataset
  • South Africa Crop Type Competition
  • SpaceNet Datasets
  • Western USA Live Fuel Moisture

  These datasets were recently migrated to Source Cooperative (and AWS in the case of SpaceNet), but with a completely different file format and directory structure. It took a lot of effort, but we have finally ported all of these datasets to the new download location and file hierarchy. As an added bonus, the new data loader code is significantly simpler, allowing us to remove 2.5K lines of code in the process!

  OSGeo community project

  

  TorchGeo is now officially a member of the OSGeo community! OSGeo is a not-for-profit foundation for open source geospatial software, providing financial, organizational, and legal support. We are in good company, with other OSGeo projects including GDAL, PROJ, GEOS, QGIS, and PostGIS. Membership in OSGeo promotes advertising of TorchGeo to the community, and also ensures that we follow best practices for the stability, health, and interoperability of the open source geospatial ecosystem.

  All TorchGeo users are encouraged to join us on Slack, join our Hugging Face organization, and join us in OSGeo using any of the following badges in our README:

  
  
  

  Lightning Studios support

  

  TorchGeo has always had a close collaboration with Lightning AI, including active contributions to PyTorch Lightning and TorchMetrics. In this release, we added buttons allowing users to launch our tutorial notebooks in the new Lightning Studios platform. Lightning Studios is a more powerful version of Google Colab, with reproducible software and data environments allowing you to pick up where you left off, VS Code and terminal support, and the ability to quickly scale up to a large number of GPUs. All TorchGeo tutorials have been confirmed to work in both Lightning Studios and Google Colab, allowing users to get started with TorchGeo without having to invest in their own hardware.

  Backwards-incompatible changes

  • All Radiant MLHub datasets have been ported to the Source Cooperative file hierarchy (#1830)
  • GeoDataset: the bbox sample key was renamed to bounds in order to support Kornia (#2199)
  • Chesapeake7 and Chesapeake13: datasets were removed when updating to the 2022 edition (#2214)
  • Benin Cashews and Rwanda Field Boundary: remove os.path.expanduser for consistency (#1705)
  • LEVIR-CD and OSCD: images key was split into image1 and image2 for change detection (#1684, #1696)
  • EuroSAT: B08A was renamed to B8A to match Sentinel-2 (#1646)

  Dependencies New (optional) dependencies

  • aws-cli: to download datasets from AWS (#2203)
  • azcopy: to download datasets from Azure (#2064)
  • prettier: for YAML file formatting (#2018)
  • ruff: for code style and documentation testing (#1994)

  Removed (optional) dependencies

  • radiant-mlhub: website no longer exists (#1830)
  • rarfile: datasets rehosted as zip files (#2210)
  • zipfile-deflate: no longer needed for newer Chesapeake data (#2214)
  • black: replaced by ruff (#1994)
  • flake8: replaced by ruff (#1994)
  • isort: replaced by ruff (#1994)
  • pydocstyle: replaced by ruff (#1994)
  • pyupgrade: replaced by ruff (#1994)

  Changes to existing dependencies

  • python: 3.10+ required following SPEC 0 (#1966)
  • fiona: 1.8.21+ required (#1966)
  • kornia: 0.7.3+ required (#1979, #2144)
  • lightly: 1.4.5+ required (#2196)
  • lightning: 2.3 not supported due to bug (#2155, #2211)
  • matplotlib: 3.5+ required (#1966)
  • numpy: 1.21.2+ required (#1966), numpy 2 support added (#2151)
  • pandas: 1.3.3+ required (#1966)
  • pillow: 3.3+ required (#1966), jpeg2000 support required (#2209)
  • pyproj: 3.3+ required (#1966)
  • rasterio: 1.3+ required (#1966)
  • shapely: 1.8+ required (#1966)
  • torch: 1.13+ required (#1358)
  • torchvision: 0.14+ required (#1358)
  • h5py: 3.6+ required (#1966)
  • opencv: 4.5.4+ required (#1966)
  • pycocotools: 2.0.7+ required (#1966)
  • scikit-image: 0.19+ required (#1966)
  • scipy: 1.7.2+ required (#1966)

  Datamodules New datamodules

  • AgriFieldNet (#1873)
  • CaBuAr (#2235)
  • ChaBuD (#1259)
  • Digital Typhoon (#1748)
  • EuroSAT Spatial (#2074)
  • GeoNRW (#2209)
  • I/O Bench (#1972)
  • LEVIR-CD (#1770)
  • LEVIR-CD+ (#1707)
  • QuakeSet (#1997)
  • Sentinel-2 + CDL (#1889)
  • Sentinel-2 + EuroCrops (#1869)
  • Sentinel-2 + NCCM (#1950)
  • Sentinel-2 + South America Soybean (#1959)
  • South Africa Crop Type (#1970)
  • VHR-10 (#1082)

  Changes to existing datamodules

  • Remove torchgeo.datamodules.utils.dataset_split (#2005)
  • EuroSAT: make sure normalization is actually applied (#2176)

  Changes to existing base classes

  • Fix plotting in datamodules when dataset is a subset (#2003)

  Datasets New datasets

  • AgriFieldNet (#1459)
  • Airphen (#1803)
  • CaBuAr (#2235)
  • ChaBuD (#1259)
  • CropHarvest (#1677)
  • Digital Typhoon (#1748)
  • EuroCrops (#1813)
  • EuroSAT Spatial (#2074)
  • GeoNRW (#2209)
  • I/O Bench (#1972)
  • LEVIR-CD (#1770)
  • Northeast China Crop Map (#1666)
  • PRISMA (#1743)
  • QuakeSet (#1997)
  • SkyScript (#2253)
  • South Africa Crop Type (#1840)
  • South America Soybean (#1668)
  • SpaceNet 8 (#2203)

  Changes to existing datasets

  • Benin Cashews: migrate to Source Cooperative (#2116)
  • Benin Cashews: remove os.path.expanduser for consistency (#1705)
  • BigEarthNet: fix broken download link (#2174)
  • CDL: add 2023 checksum (#1844)
  • Chesapeake: update to 2022 edition (#2214)
  • ChesapeakeCVPR: reuse NLCD colormap (#1690)
  • Cloud Cover: migrate to Source Cooperative (#2117)
  • CV4A Kenya Crop Type: migrate to Source Cooperative (#2090)
  • EuroSAT: rename B08A to B8A to match Sentinel-2 (#1646)
  • FireRisk: redistribute on Hugging Face (#2000)
  • GlobBiomass: add min/max timestamp (#2086)
  • GlobBiomass: use float32 for pixelwise regression mask (#2086)
  • GlobBiomass: fix length of dataset (#2086)
  • L7 Irish: convert to IntersectionDataset (#2034)
  • L8 Biome: convert to IntersectionDataset (#2058)
  • LEVIR-CD+: split image into image1 and image2 for change detection (#1696)
  • NASA Marine Debris: migrate to Source Cooperative (#2206)
  • OSCD: support fine-grained band selection (#1684)
  • OSCD: split image into image1 and image2 for change detection (#1696)
  • PatternNet: redistribute on Hugging Face (#2100)
  • RESISC45: redistribute on Hugging Face (#2210)
  • Rwanda Field Boundary: don't plot empty masks during testing (#2254)
  • Rwanda Field Boundary: migrate to Source Cooperative (#2118)
  • Rwanda Field Boundary: remove os.path.expanduser for consistency (#1705)
  • SpaceNet 1–7: migrate to Source Cooperative (#2203)
  • Tropical Cyclone: migrate to Source Cooperative (#2068)
  • VHR-10: redistribute on Hugging Face (#2210)
  • VHR-10: improved plotting (#2092)
  • Wester USA Live Fuel Moisture: migrate to Source Cooperative (#2206)

  Changes to existing base classes

  • Add support for pathlib.Path to all datasets (#2173)
  • Datasets can now use command-line utilities to download (#2064)
  • GeoDataset: bbox key was renamed to bounds (#2199)
  • GeoDataset: ignore other bands for separate files (#2222)
  • GeoDataset: don't warn about missing files for downloadable datasets (#2033)
  • RasterDataset: allow subclasses to specify which resampling algorithm to use (#2015)
  • RasterDataset: use nearest neighbors for int and bilinear for float by default (#2015)
  • RasterDataset: calculate resolution after changing CRS (#2193)
  • RasterDataset: support date_str containing % character (#2233)
  • RasterDataset: users can now specify the min/max time of a dataset (#2086)
  • VectorDataset: add dtype attribute to match RasterDataset (#1869)
  • VectorDataset: extract timestamp from filename to match RasterDataset (#1814)
  • IntersectionDataset: ignore 0 area overlap (#1985)

  New error classes

  • DatasetNotFoundError: when a dataset has not yet been downloaded (#1714, #2053)
  • DependencyNotFoundError: when an optional dependency is not installed (#2054)
  • RGBBandsMIssingError: when you try to plot a dataset but don't use RGB bands (#1737, #2053)

  Models New model architectures

  • DOFA (#1903, #2052)
  • Scale-MAE (#2057)
  • Swin Transformer v2 (#1358, #2052)

  New model weights

  • DeCUR (#2191)
  • DOFA (#1903)
  • Scale-MAE (#2057)
  • SatlasPretrain (#1358, #1884, #2038)

  Samplers Changes to existing samplers

  • RandomGeoSampler: fix performance regression, 60% speedup with preprocessed data (#1968)

  Trainers New trainers

  • I/O Bench (#1972)

  Changes to existing trainers

  • Explicitly specify batch size (#1928, #1933)
  • MoCo: explicitly specify memory bank size (#1931)
  • Semantic Segmentation: support ingore_index when using Jaccard loss (#1898)
  • SimCLR: switch from Adam to LARS optimizer (#2196)
  • SimCLR: explicitly specify memory bank size (#1931)

  Transforms

  • Use Kornia's AugmentationSequential for all model weights (#1979)
  • Update TorchGeo's AugmentationSequential to support object detection (#1082)

  Documentation Changes to API docs

  • Datasets: add license information about every dataset (#1732)
  • Datasets: update link to cite SSL4EO-L dataset (#1942)
  • Models: emphasize new multimodal foundation models (#2236)
  • Trainers: update num_classes parameter description (#2101)

  Changes to user docs

  • Alternatives: update metrics (#2259)
  • Contributing: explain how to use new I/O Bench dataset (#1972)

  Changes to tutorials

  • Add button for the new Lightning Studios (#2146)
  • Remove button for the recently defunct Planetary Computer Hub (#2107)
  • Custom Raster Datasets: download the dataset before calling super (#2177)
  • Custom Raster Datasets: fix typo (#1987)
  • Transforms: update EuroSAT band names to match Sentinel-2 (#1646)

  Other documentation changes

  • README: fix CLI example (#2142)
  • README: add Hugging Face badge (#1957)
  • README: fix example of creating fake raster data (#2162)
  • Read the Docs: use latest Ubuntu version to build (#1954)
  • Allow horizontal scrolling of wide tables (#1958)
  • Fix broken links and redirects (#2267)

  Testing Style

  • Use prettier for configuration files (#2018)
  • Use ruff for code files (#1994, #2001)

  Type hints

  • Ensure all functions have type hints (#2217)
  • Make all class variables immutable (#2218)
  • Check for unreachable code (#2241)

  Unit testing

  • Datasets: test dataset length (#2084, #2089)
  • Datamodules: don't download during testing (#2215, #2231)
  • download_url: add shared fixture to avoid code duplication (#2232)
  • load_state_dict: add shared fixture to avoid code duplication (#1932)
  • load_state_dict_from_url: add shared fixture to avoid code duplication (#2223)
  • torch_hub: add fixture to avoid downloading checkpoints to home directory (#2265)
  • Pytest: silence warnings (#1929, #1930, #2224)
  • PyVista: headless plotting (#1667)

  Other CI changes

  • Check numpy 2 compliance (#2151)
  • Coverage: use newer flag to override ignores (#2260)
  • Dependabot: update devcontainer (#2025)
  • Dependabot: group torch and torchvision (#2025)
  • Labeler: update to v5 (#1759)
  • macOS: disable pip caching (#2024)
  • Windows: fail fast mode (#2225)

  Contributors

  This release is thanks to the following contributors:

  @adamjstewart
  @alhridoy
  @ashnair1
  @burakekim
  @calebrob6
  @cookie-kyu
  @DarthReca
  @Domejko
  @favyen2
  @GeorgeHuber
  @isaaccorley
  @kcrans
  @nilsleh
  @oddeirikigland
  @pioneerHitesh
  @piperwolters
  @robmarkcole
  @sfalkena
  @ShadowXZT
  @shreyakannan1205
  @TropicolX
  @wangyi111
  @yichiac

• 11:00

  Mappery: Lambeth Palace

  sur Planet OSGeo
  

  Simon Wrigley found this beautiful window near the entrance to Lambeth Palace.

  Rounding the corner, He found it was not one window but two – one with each hemisphere of the globe. It looks like a Nicolosi Globular Projection, which is a Double hemispheric polyconic map projection

  

  MapsintheWild Lambeth Palace

• 31 August 2024
• 16:44

  Anime Pilgrimage Maps

  sur Google Maps Mania
  Apparently many enthusiastic fans of anime like to go on anime pilgrimages, in order to visit the real-world locations that have featured in their favorite shows. Fans of anime, manga, or other animated media often embark on these pilgrimages to connect with the stories they love and to experience the places that inspired their favorite characters and scenes.A number of interactive mapping

• 11:00

  Mappery: It’s a Squishy World

  sur Planet OSGeo
  

  Barry shared this pic of a globe style stress ball, I think it may originate from a proprietary software vendor

  MapsintheWild It’s a Squishy World

• 30 August 2024
• 11:00

  Mappery: Collette

  sur Planet OSGeo
  

  Reinder shared this pic of a shop window display “Cartographically inspired shop window of the 2nd hand bookshop Colette in The Hague”

  MapsintheWild Collette

• 9:54

  245 Russian Military Targets at Risk

  sur Google Maps Mania
  The Institute for the Study of War (ISW) and Critical Threats have identified hundreds of Russian military sites that are in range of Ukrainian ATACMS. Currently the United States will not allow Ukraine to use US supplied tactical ballistic missiles for long-range deep strikes into Russia. According to the ISW its new map shows "the extent to which US restrictions on Ukraine's use of ATACMS

• 29 August 2024
• 20:15

  Free and Open Source GIS Ramblings: Building spatial analysis assistants using OpenAI’s Assistant API

  sur Planet OSGeo

  Earlier this year, I shared my experience using ChatGPT’s Data Analyst web interface for analyzing spatiotemporal data in the post “ChatGPT Data Analyst vs. Movement Data”. The Data Analyst web interface, while user-friendly, is not equipped to handle all types of spatial data tasks, particularly those involving more complex or large-scale datasets. Additionally, because the code is executed on a remote server, we’re limited to the libraries and tools available in that environment. I’ve often encountered situations where the Data Analyst simply doesn’t have access to the necessary libraries in its Python environment, which can be frustrating if you need specific GIS functionality.

  Today, we’ll therefore start to explore alternatives to ChatGPT’s Data Analyst Web Interface, specifically, the OpenAI Assistant API. Later, I plan to dive deeper into even more flexible approaches, like Langchain’s Pandas DataFrame Agents. We’ll explore these options using spatial analysis workflow, such as:

  1. Loading a zipped shapefile and investigate its content
  2. Finding the three largest cities in the dataset
  3. Selecting all cities in a region, e.g. in Scandinavia from the dataset
  4. Creating static and interactive maps

  To try the code below, you’ll need an OpenAI account with a few dollars on it. While gpt-3.5-turbo is quite cheap, using gpt-4o with the Assistant API can get costly fast.

  OpenAI Assistant API

  The OpenAI Assistant API allows us to create a custom data analysis environment where we can interact with our spatial datasets programmatically. To write the following code, I used the assistant quickstart and related docs (yes, shockingly, ChatGPT wasn’t very helpful for writing this code).

  Like with Data Analyst, we need to upload the zipped shapefile to the server to make it available to the assistant. Then we can proceed to ask it questions and task it to perform analytics and create maps.

  from openai import OpenAI
  
  client = OpenAI()
  
  file = client.files.create(
    file=open("H:/ne_110m_populated_places_simple.zip", "rb"),
    purpose='assistants'
  )
  

  Then we can hand the file over to the assistant:

  assistant = client.beta.assistants.create(
    name="GIS Analyst",
    instructions="You are a personal GIS data analyst. Write and rund code to answer geospatial analysis questions",
    tools=[{"type": "code_interpreter"}],
    model="gpt-3.5-turbo",  # or "gpt-4o"
    tool_resources={
      "code_interpreter": {
        "file_ids": [file.id]
      }
    }  
  )
  

  Then we can start asking questions and giving our assistant tasks:

  thread = client.beta.threads.create()
  
  message = client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content="Please load the zipped shapefile and describe the content"
  )
  

  assistant > The shapefile has been successfully loaded as a GeoDataFrame with the following details:
  
  - The GeoDataFrame has 243 entries.
  - It contains a total of 38 columns with various data types including integer, float, and object types.
  - One of the columns is a geometry column representing the spatial information.
  
  If you have any specific analysis or visualizations you would like to perform on this data, feel free to let me know!

  The docs have a nice example for how to stream the answers back, e.g. into a Jupyter notebook. I’ve used it to create a small convenience function:

  def ask_another_question(question):
      message = client.beta.threads.messages.create(
          thread_id=thread.id,
          role="user",
          content=question
      )
      with client.beta.threads.runs.stream(
          thread_id=thread.id,
          assistant_id=assistant.id,
          event_handler=EventHandler(),
      ) as stream:
          stream.until_done()
  
  ask_another_question("Please list the three largest cities")
  

  assistant > code_interpreter
  
  # Sort the GeoDataFrame by the population in descending order
  largest_cities = gdf.sort_values(by='pop_max', ascending=False).head(3)[['name', 'pop_max']]
  largest_cities
  assistant > The three largest cities in the dataset, along with their maximum population numbers, are as follows:
  
  1. Tokyo: 35,676,000
  2. New York: 19,040,000
  3. Mexico City: 19,028,000
  
  These cities have the highest recorded maximum population numbers in the dataset. Let me know if you need any further information or analysis!

  ask_another_question("extract all scandinavian cities ")
  

  assistant > To extract all the Scandinavian cities from the dataset, we can filter the GeoDataFrame based on the countries typically considered part of Scandinavia. These countries include Norway, Sweden, Denmark, Finland, and sometimes Iceland. Let's filter the GeoDataFrame to extract the Scandinavian cities.
  assistant > code_interpreter
  
  # List of countries typically considered part of Scandinavia
  scandinavian_countries = ['Norway', 'Sweden', 'Denmark', 'Finland', 'Iceland']
  
  # Filter the GeoDataFrame for Scandinavian cities
  scandinavian_cities = gdf[gdf['adm0name'].isin(scandinavian_countries)][['name', 'adm0name']]
  
  scandinavian_cities.head()  # Displaying the first few Scandinavian cities
  assistant > Here are some of the Scandinavian cities extracted from the dataset:
  
  1. Reykjavík, Iceland
  2. Oslo, Norway
  3. Helsinki, Finland
  4. København (Copenhagen), Denmark
  5. Stockholm, Sweden
  
  These are just a few examples of Scandinavian cities present in the dataset. If you would like the complete list or perform any specific analysis on these cities, feel free to let me know!

  ask_another_question(
      "please create a world map with all cities (use gray circles) "
      "with scandinavian cities highlighted as red circles. "
  )
  

  assistant > To create a world map with all cities represented as gray circles and Scandinavian cities highlighted as red circles, we will use the GeoPandas library for mapping. Let's go ahead and create the map.
  assistant > code_interpreter
  
  import matplotlib.pyplot as plt
  
  # Plot all cities with gray circles and Scandinavian cities with red circles
  fig, ax = plt.subplots(figsize=(12, 8))
  
  # Plot all cities in gray circles
  gdf.plot(ax=ax, color='lightgrey', markersize=5)
  
  # Plot Scandinavian cities in red circles
  scandinavian_cities.plot(ax=ax, color='red', markersize=50, edgecolor='black', label='Scandinavian Cities')
  
  # Set the title
  ax.set_title('World Map with Scandinavian Cities Highlighted', fontsize=16)
  
  # Add legend
  ax.legend()
  
  # Display the map
  plt.show()
  assistant > It seems that there was an error while plotting the map because the GeoDataFrame `scandinavian_cities` does not have the necessary numeric data to plot the map directly.
  ...
  plt.show()
  
  output >
  
  assistant > Here is the world map with all cities represented as gray circles and Scandinavian cities highlighted as red circles. The map provides a visual representation of the locations of the Scandinavian cities in relation to the rest of the cities around the world. If you need any further assistance or modifications, feel free to let me know!

  To load and show the image, we can use:

  import matplotlib.pyplot as plt
  import matplotlib.image as mpimg
  
  def show_image():
      messages = client.beta.threads.messages.list(thread_id=thread.id)
  
      for m in messages.data:
          if m.role == "user":
              continue
          if m.content[0].type == 'image_file':
              m.content[0].image_file.file_id
              image_data = client.files.content(messages.data[0].content[0].image_file.file_id)
              image_data_bytes = image_data.read()
              with open("./out/my-image.png", "wb") as file:
                  file.write(image_data_bytes)
              image = mpimg.imread("./out/my-image.png")
              plt.imshow(image)
              plt.box(False)
              plt.xticks([])
              plt.yticks([])
              plt.show() 
              break
  

  

  Asking for an interactive map in an html file works in a similar fashion.

  You can see the whole analysis workflow it in action here:

  This way, we can use ChatGPT to perform data analysis from the comfort of our Jupyter notebooks. However, it’s important to note that, like the Data Analyst, the code we execute with the Assistant API runs on a remote server. So, again, we are restricted to the libraries available in that server environment. This is an issue we will address next time, when we look into Langchain.

  Conclusion

  ChatGPT’s Data Analyst Web Interface and the OpenAI Assistant API both come with their own advantages and disadvantages.

  The results can be quite random. In the Scandinavia example, every run can produce slightly different results. Sometimes the results just use different assumptions such as, e.g. Finland and Iceland being part of Scandinavia or not, other times, they can be outright wrong.

  As always, I’m interested to hear your experiences and thoughts. Have you been testing the LLM plugins for QGIS when they originally came out?

• 11:00

  Mappery: Topo Map Chocolate

  sur Planet OSGeo
  

  Ben shared this delicious looking topo chocolate

  MapsintheWild Topo Map Chocolate

• 7:52

  The Money Mountains of Los Angeles

  sur Google Maps Mania
  Nick Underwood has visualized the average median household income in each Los Angeles neighborhood using the analogy of elevation. On his The Topography of Wealth in L.A. map city each neighborhood is displaced 'vertically based on median annual household income'. The map uses census data to show the average household income in each Los Angeles neighborhood as a 3D tower. Sea level on

• 2:00

  EOX' blog: Sentinel-2 Cloudless 2023

  sur Planet OSGeo
  We are thrilled to announce the latest release of EOxCloudless 2023 imagery. Whether you are an existing customer or new to EOxCloudless, this latest update offers clarity with beautiful sceneries and is designed to meet the needs of our users in a convenient way. With the everchanging and more cha ...
• 28 August 2024
• 16:51

  Oslandia: (Fr) [Story] Oslandia x QWC : épisode 1 / 8

  sur Planet OSGeo

  Sorry, this entry is only available in French.

• 11:00

  Mappery: Deventer

  sur Planet OSGeo
  

  Reinder sent these pics from the second hand book market in Deventer “… at the largest 2nd hand book market of Europe (August 4, 2024) of course there was also some cartographical material for sale.”

  

  MapsintheWild Deventer

• 10:29

  Text Search for Street View

  sur Google Maps Mania
  all text for nyc (brooklyn) is a very impressive search engine which allows you to search Google Maps Street View imagery for any word. In the words of its developer it is "a unique digital archive of Brooklyn's typography. Users can search and visualize every sign, notice, and street art captured in street images".Enter any word (or combination of words) into 'all text for nyc' and it will
• 27 August 2024
• 11:03

  WorldGuessr on Street View

  sur Google Maps Mania
  My seemingly endless quest to find an alternative to GeoGuessr may be finally over. GeoGuessr is (rightly) by far the most popular Google Maps game on the internet. Unfortunately GeoGuessr's subscription charges mean I can't afford to play it very often. Which means I'm always on the look-out for free alternatives.GeoGuessr is an online geography game that challenges players to identify

• 11:00

  Mappery: Keighley & Worth Valley Railway

  sur Planet OSGeo
  

  Doug shared this old railway map, you might think this an old relic that he spotted but – no! This 150 year old railway line closed in 1962 and was reopened a few years later, you can read more here and you can still travel on the line.

  MapsintheWild Keighley & Worth Valley Railway

• 26 August 2024
• 11:23

  GeoTools Team: GeoTools 30.5 released

  sur Planet OSGeo
  &nbsp; &nbsp;The GeoTools team is pleased to the release of the latest stable version of&nbsp;GeoTools 30.5:geotools-30.5-bin.zip&nbsp;geotools-30.5-doc.zip&nbsp;geotools-30.5-userguide.zip&nbsp;geotools-30.5-project.zip&nbsp;This release is also available from the&nbsp;OSGeo Maven Repository&nbsp;and is made in conjunction with GeoServer 2.24.5. The release was made by Andrea Aime (Geosolutions)
• 11:00

  Mappery: Globe Teapot

  sur Planet OSGeo
  

  Another one from Reinder Storm. “Don’t remember whether I sent this before, don’t remember where and when I saw this one – but I do know that I like it …”

  I am sure the tea will have an international flavour in this pot.

  MapsintheWild Globe Teapot

• 10:01

  How Smooth is the Earth?

  sur Google Maps Mania
  One of the most interesting facts that I learned from the BBC TV series QI was that the Earth is smoother than a billiard ball. Unfortunately, like nearly every other fact I've remembered from that show, it is a load of bull (or should that be balls).Shri Khalpada has created a three.js powered 3D globe of the Earth which allows you to view the Earth's elevation profile to scale (and when

• 25 August 2024
• 11:00

  Mappery: Mount Rainier Time Map

  sur Planet OSGeo
  

  Another pic from Krista Mott’s roadtrip. “At Mount Rainier National Park there was one of the felled Douglas-fir, that began to grow in 1293, depicts a map of time”

  I am expecting a bit of “That’s not a map!” feedback but it sure looks like one to me and it definitely is wild.

  MapsintheWild Mount Rainier Time Map

• 24 August 2024
• 11:13

  Have You Earned Your Air Pollution Stripes?

  sur Google Maps Mania
  Ed Hawkins' Climate Stripes visualization of global heating has quickly become a data visualization classic. Climate Stripes (sometimes known as Warming Stripes) are a visual representation of the long-term increase in global temperatures due to climate change. Ed's striking Climate Stripes visualizations consist of colored vertical stripes, with each stripe representing a single year and

• 11:00

  Mappery: Phillipines in Ipswich, Massachusetts

  sur Planet OSGeo
  

  Judy Tymon sent us this pic “I found this map at a new local cafe here in Ipswich Massachusetts.  The cafe is called  “The M Cafe”, M for Manila, capital of the Philippines. I liked it because it shows the outline of the country along with the lat/long.  And of course the cafe is owned by a woman from the Philippines.”
  
  

  MapsintheWild Phillipines in Ipswich, Massachusetts

• 23 August 2024
• 18:30

  Free and Open Source GIS Ramblings: MovingPandas 0.19 released!

  sur Planet OSGeo
  

  This release is the first to support GeoPandas 1.0.

  Additionally, this release adds multiple new features, including:

  • New explore() function adds interactive folium / leaflet maps
  • New support for mfjson trajectory

  

  For the full change log, check out the release page.

  We have also revamped the documentation at [https:]] using the PyData Sphinx Theme:

  

  On a related note: if you know what I need to change to get all Trajectory functions listed in the TOC on the right, please let me know.

• 12:56

  geomatico: Ética y economia: ¿son viables los proyectos geoespaciales de software libre?

  sur Planet OSGeo

  Pièce jointe: [télécharger]

  Jornadas SIG Libre 2024

  En la XVII edición de las Jornadas de SIG Libre, debate plenario sobre «viabilidad económica de los proyectos de software libre en datos geoespaciales» en el que participamos con Òscar Fonts, nuestro CTO.

  • 0:00 Introducción Gemma Boix, directora del SIGTE – UdG
  • 2:30 Angelos Tzotsos (OSGeo)
  • 29:20 Óscar Fonts (Geomatico)
  • 42:40 Josep Lluís Sala (BGeo)
  • 55:30 Iván Sánchez
• 11:00

  Mappery: Light Pollution in the Netherlands

  sur Planet OSGeo
  

  Reinder shared these stamps “These stamps were issued in The Netherlands in 2015. They present an image of light pollution. Artist / designer Daan Roosegaarde has created these illuminated stamps for PostNL. The stamp sheet shows a modern map of the Netherlands on a clear night in spring. The stamps provide insight into the daily use of light.”

  We haven’t had that many maps in the wild stamps, surely there must be a load more out there?

  MapsintheWild Light Pollution in the Netherlands

• 10:54

  200 Years of Irish Map

  sur Google Maps Mania
  The first ever large-scale survey of an entire country was started nearly 200 years ago. From 1825 to 1846 the Irish Ordnance Survey undertook a highly detailed survey of the whole of Ireland in order to create maps primarily at the 6 inch scale.To celebrate 200 years of Irish mapping the University of Limerick and Queen’s University Belfast has created OS200. The OS200 website is a digital

• 22 August 2024
• 11:00

  Mappery: Where do you come from?

  sur Planet OSGeo

  Krista Mott sent us this pic from her roadtrip in the north west US. “On the way home, we stopped in Seattle at Pike Place Market where I found this “Show us where you came from!” map.  Quite a great representation of visitors from around the world.

  

  MapsintheWild Where do you come from?

• 9:18

  Population Flags

  sur Google Maps Mania
  World Population Flags is a Dorling cartogram in which country flags are sized by population. The cartogram is used to visualize where people live around the world and the relative size of each country's population.A Dorling cartogram is a thematic map that is used to visualize quantitative data. On a Dorling cartogram areas are represented by circles rather than their actual geographic

• 21 August 2024
• 11:00

  Mappery: Global Architectural Salvage

  sur Planet OSGeo
  

  Reinder is on form at the moment with a string of great pics.

  “in a shop / workplace where they sell (an awful lot of) antique building materials. I’m not sure whether this is stained glass — or some other technique. I’m sure that I like it!” – we like it too, I think it is painted glass rather than stained

  Screenshot

  MapsintheWild Global Architectural Salvage

• 9:52

  One Million Screenshots. One Map!

  sur Google Maps Mania
  Over the years a number of people have used the popular Leaflet.js mapping library to map image datasets. For example Nathan Rooy's Visual Book Recommender uses Leaflet to map the images of 51,847 book covers. The Pudding has also mapped images of 5,000 book covers on its 11 Years of Top-Selling Book Covers, Arranged by Visual Similarity. Mapping libraries have also been used in the

• 20 August 2024
• 11:00

  Mappery: The Places of Hawaii

  sur Planet OSGeo
  

  Scott Simmons sent us a pic of this superb sticker from Hawaii, “I found this great sticker on a recent vacation to the island of Hawai’i. The place names are all in their approximate correct location and the artist cleverly chose more important names to prioritize, while still filling the map quite evenly.”

  Let’s have some more of these

  MapsintheWild The Places of Hawaii

• 10:03

  How to Make Your Own Map Jigsaw Puzzle

  sur Google Maps Mania
  I've been having a lot of fun over the last few days playing the map puzzles created by the Map Puzzle Factory. However I have been a little frustrated by the Japanese place-names used in the puzzles. I therefore decided to try to create my own map jigsaw puzzle using a map in which the place-names are displayed in English.My Scrambled City game is a simple map of the City of London. Press

• 19 August 2024
• 11:00

  Mappery: The Parade

  sur Planet OSGeo
  

  Reinder shared these pics of a gig that he saw recently, the band seem to be very into globes and maps.

  “… on the Parade: a travelling theatrical festival in the Netherlands, 18^th of July 2024. Cf  [https:]] .

  “Pop-music meets theater in a light-hearted and quirky concert. Looking at the mysterious word “fundamental”, these men create a bit of chaos in all order. Don’t we see the world fundamentally different than it really is: a dustball in the wind?”

  I did quite like it and hope you do as well.”

  

  We say what’s not to like (except possibly the music)

  MapsintheWild The Parade

• 9:55

  Piecing the World Back Together

  sur Google Maps Mania
  The world is fractured and divided like never before. Your mission, if you choose to accept it, is to put the Earth back together.The Map Puzzle Factory is a huge collection of map puzzles. Each puzzle is a map of a part of the world which has been divided into a collection of small squares. You simply have to drag the squares into their correct position on the map. In other words - each game

• 18 August 2024
• 11:00

  Mappery: Trollhatte Kanal

  sur Planet OSGeo

  Marc-Tobias spotted this van “Seen in  [https:]] Includes a scale in kilometers and proper compass!”

  That’s the first time I have seen a scale bar on an a map in the wild

  

  MapsintheWild Trollhatte Kanal

• 2:00

  GeoServer Team: GeoServer 2.24.5 Release

  sur Planet OSGeo

  GeoServer 2.24.5 release is now available with downloads (bin, war, windows), along with docs and extensions.

  This is a maintenance release of GeoServer providing existing installations with minor updates and bug fixes. GeoServer 2.24.5 is made in conjunction with GeoTools 30.5, and GeoWebCache 1.24.5.

  Thanks to Andrea Aime for making this release.

  Release notes

  Improvement:

  • GEOS-11336 security-keycloak: upgrade keycloak version
  • GEOS-11443 REST API does not take effect immediately due to 10 minute authentication cache
  • GEOS-11463 WMS vector dimension validation should query only one feature and only for dimension attribute
  • GEOS-11502 Permit resize on user/group/role palette textbox to allow for extra long role names

  Bug:

  • GEOS-11446 [INSPIRE] Incorrect behavior for unsupported languages
  • GEOS-11453 Failure to look-up default value of custom dimensions on vector layers
  • GEOS-11462 500 error thrown when double adding a user to a group via REST with JDBC user/group services
  • GEOS-11484 DirectRasterRenderer is not respecting advancedProjectionHandling and continuosMapWrapping format_options
  • GEOS-11493 Azure blob store may not get environment parameters from property file

  Task:

  • GEOS-11464 Update Jackson 2 libs from 2.17.1 to 2.17.2

  For the complete list see 2.24.5 release notes.

  Community Updates

  Community module development:

  • GEOS-11111 Open search for EO community module: STAC search page has wrong self link

  Community modules are shared as source code to encourage collaboration. If a topic being explored is of interest to you, please contact the module developer to offer assistance.

  About GeoServer 2.24 Series

  Additional information on GeoServer 2.24 series:

  • GeoServer 2.24 User Manual
  • Control remote HTTP requests sent by GeoTools/GeoServer
  • State of GeoServer 2.24.1 (foss4g-asia presentation)
  • Multiple CRS authority support, planetary CRS
  • Extensive GeoServer Printing improvements
  • Upgraded security policy

  Release notes: ( 2.24.5 | 2.24.4 | 2.24.3 | 2.24.2 | 2.24.1 | 2.24.0 | 2.24-RC )

• 17 August 2024
• 11:00

  Mappery: Matthijs Röling

  sur Planet OSGeo

  Reinder shared this pic of a book cover “Suddenly it occurred to me that the cover of this book by the Dutch writer Jean Pierre Rawie is decorated with a painting by Matthijs Röling, and that he added a globe to this still life.”

  

  MapsintheWild Matthijs Röling

• 9:03

  Turning Gaza to Rubble

  sur Google Maps Mania
  This week the Gaza health ministry reported that 40,000 Palestinians have been killed in Gaza since Israel started attacking the territory in October. Over a third of those killed have been children. Much of Gaza itself has also been turned to rubble.According to Bloomberg Israeli air strikes on Gaza have created 42 million tonnes of debris in the Strip. That is "enough rubble to fill a line of

• 3:38

  XYCarto: Cartographic Aotearoa

  sur Planet OSGeo

  I try hard to keep this blog about basic open source processing in GIS. I don’t spend much time talking about my cartographic work, since I like put it up in the gallery and try to let it speak for itself. Further, 90% of my cartographic products involve processing data before it ever gets to visualization, therefore, I see more value in demonstrating the basic processing and hopefully inspire folks to do their own thing once their data is in place.

  If you might indulge me; however, I’d love to toot my own horn as they say and do a write up on my acceptance to the Atlas of Design this year and the honor to do a brief interview with Radio New Zealand (RNZ) about the map.

  • Aotearoa / New Zealand Map
  • Radio New Zealand Interview
  • Atlas of Design

  I know it is a bit cheeky to put up recognition of one’s own work, but this map was the culmination of several years of iterations, heaps of footwork getting it known, and a number of rejections along the way. I’m just so excited to finally get it out there to a wider audience.

  Since this is primarily an open source blog about GIS, and that several have asked me about my tech stack I’ll share a portion of it here. If you want to get a feel of some of my blending techniques, you can see some past blogs where I wrote this up.

  • Building the Welly Model
  • Auckland Viz

  As I mentioned above, that vast majority of my cartography is in data prep and making data easier to work in visualization projects. I have a fairly simple tech stack for data prep.

  • QGIS – Base map layout. My method is most often to develop the base image here, but do all the post processing for legends, supporting text, graphics, etc in specialized layout software. QGIS is amazing at handling large file types, blending, and making repeatable color palettes. Doing work at a national and world scale is often without issue.

  • GDAL – Most used in the stack for prepping large scale raster data. Used more than anything else in GDAL for my vis work is gdalwarp, gdal_translate, gdaladdo, gdalbuildvrt, and gdaldem [hillshade, slope]. These are often used in bash scripts to repeat processes allowing me to easily develop multiple resolutions, scales, and resamples.

  • GeoPandas – Used for vectors and primarily for my cleaning to get lighter GPKG files, automating redundant processes like clips, simplification, and table manipulation. It is an amazing tool I use a lot in development too.

  • Python/Bash – Used for controlling all the automation and processing. Depending on the complexity of the task at hand, I will bounce between the two. Bash is really great at multi-core processing and can save enormous amounts of time in redundant processes.

  • Colorhexa /Gpick – Palette development. Gpick is incredibly helpful in sampling imagery to find a color value you like. You can bring these values into Colorhexa and start to develop gradients and divergent values all the while keeping within your tone. There are many other sites that will help you do this, I just happen to enjoy this one.

  • Docker – An unlikely item in a cartographic stack, but Docker has proved invaluable to me by allowing me to run multiple versions of QGIS and GDAL without wrecking my machine. I have a basic QGIS/Docker example here.

  For those out there who have supported me on this journey and even those who lurk in the shadows, I cannot thank you enough for reading, liking, and sending me messages letting me know you are out there and find some of this useful. It helps more than you know and motivates me to continue to move forward. Also, tell all your friends!

• 16 August 2024
• 16:18

  QGIS Blog: Reports from the winning grant proposals 2023

  sur Planet OSGeo

  With the QGIS Grant Programme 2023, we were able to support six proposals (four in the first round and two in the second round) that are aimed to improve the QGIS project, including software, infrastructure, and documentation. The following reports summarize the work performed in the first four proposals:  

  1. QGIS Bug Tracker cleanup (#266)  – Report
      We have identified and closed ~291 tickets, among them:
     • 162 bugreports and feature requests which were already fixed or implemented
     • 29 bugreports and feature requests which are invalid (data issues, wrong use of functionality, etc)
     • 57 duplicate bugreports and feature requests
     • 5 won’t fix bugreports
     • 5 bugreports were converted to feature requests
     • 33 tickets were closed (does not contain steps to reproduce, test data and no feedback was provided within several month)
     • Additionally we ensured that all tickets has correct tags assigned to to make them easier to find.
  2. Porting to C++ and harmonization of Processing algorithms (#271) – Report
     The QGIS Porting to C++ and Harmonisation of Processing Algorithms grant is now complete.
     • Existing Processing algorithms Voronoi Polygons and Delaunay Triangulation have been ported to C++ and now use GEOS instead of the unmaintained Python module.
     • Two algorithms for generating XYZ tiles (directory and MBTiles variants) have been ported to C++ using a safer and cleaner multi-threading approach.
     • The Align Rasters tool, which was not exposed to Processing, has been removed and a new Processing algorithm with the same functionality has been added.
     • The existing Raster Calculator algorithm has been ported to C++. The algorithm now has two variants: a toolbox version that works the same way as before, and a modeler version that uses the same approach to input naming as the GDAL raster calculator.
  3. Add vertical CRS handling to QGIS (#267) – Report
     • As of QGIS 3.34, QGIS can now create and handle vertical and compound CRSes.
     • In QGIS 3.34 coordinate transforms were reworked so that they function correctly with vertical transformation, if both the source and destination CRS have vertical components.
     • In QGIS 3.36 the coordinate reference selection widgets were updated to offer choices of 2d only, compound, or vertical only CRSes.
     • In version 3.38, we introduced a new setting for QGIS projects, for their vertical reference system. Users can control this through project properties, and it’s accessible via PyQGIS and via associated expression variables (eg @project_vertical_crs) for use in print layouts.
     • Similarly, in 3.38 we introduced the API support for map layers to have a vertical CRS. (This was not exposed to users in 3.38 though)
     • In QGIS 3.40 so far we have exposed the vertical CRS setting for vector layers to users (via the layer properties dialog), allowing users to specify the associated vertical CRS for these layers. The vertical CRS is respected in elevation profile plots, in Identify tool results, and in 3D Map views (assuming the 3D map is created with an associated vertical CRS).
     • There is an open pull-request for 3.40 to expose the vertical CRS for point cloud layers in a similar way, with the vertical CRS being respected in elevation profiles, identify tool results, and 3D map views
     • We have open pull requests for 3.40 to show layer vertical CRS information in the layer properties “information” pages, and add expression variables at the layer scope (eg @layer_vertical_crs).
  4. Improve test result handling on QGIS CI (#268) – Report
     Any tests which fail a rendering comparison will write a descriptive comment to the PR. The comment details which render tests failed, where they are in the code, and includes some helpful pointers to downloading the full test report and the QGIS developer documentation. We also implemented lots of improvements in running the tests locally and how the render test reports are generated and presented to developers.

  Thank you to everyone who participated and made this round of grants a great success and thank you to all our sustaining members and donors who make this initiative possible!