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21 June 2024
11:00
Mappery: Kids on the Map
sur Planet OSGeo

Reinder sent us this pic from the Maritime Museum in Rotterdam

“The Maritime Museum in Rotterdam has taken the next step in the field of target group approach and public outreach using the Cultural Target Group Model. “This has given us a shared language and a shared image of our Cultural Target Groups. And more awareness about its importance,” says Layla Salamoun, Head of Marketing, Communications & Development.”

[https:]]

Seems that giant maps that you can walk on, play on and explore are appear.ing quite often on Mappery, send us more – we love them!
MapsintheWild Kids on the Map
20 June 2024
11:00
Mappery: Giant China Map in Zaragoza
sur Planet OSGeo

Angel Arenas sent us his latest project. It’s a giant interactive map of China at the University of Zaragoza. The scale of these maps is so impressive, a whole class or more could explore.
MapsintheWild Giant China Map in Zaragoza
6:45
Marco Bernasocchi: QGIS.ch user-day 2024 – A biased review by uber-happy committers
sur Planet OSGeo
During the pandemic, people noticed how well they could work remotely, how productive meetings via video call could be, and how well webinars worked. At OPENGIS.ch, this wasn’t news because we have always been 100% remote. However, we missed the unplanned, in-person interactions that occur during meetups with a or . That’s why we’re very pleased that last week we could join the Swiss QGIS user day for the second time after the pandemic.

OPENGIS.ch has been invested in QGIS since its inception in 2014, actually even before; our CEO Marco started working with QGIS 0.6 in 2004 and our CTO Matthias with version 1.7 in 2012. Since 2019, we have also been the company with the most core committers. We can definitely say that OPENGIS.ch has been one of the main driving forces behind the large adoption of QGIS in Switzerland and worldwide.
Contributions to the QGIS core measured in commit numbers
Looking at the work done in the QGIS code we’re by far the most prolific company in Switzerland and second worldwide only to North Road Consulting. On top of it, we were the first – and still only one of two- companies to sustain QGIS.org at a Large level since 2021.

This makes us very proud and it is why we’re even happier to see how much that is happening around QGIS in Switzerland aligns with the visions and goals we set out to reach years ago.

The morning started with a presentation by our CTO Matthias “What’s new in QGIS” featuring plenty of work sponsored by the Anwendergruppe CH.
Our CTO Matthias answering QGIS questions
DXF Improvements, the release of SwissLocator 3.0 with swissalti3d and vector tiles integration, and an update on the advances towards solid curve handling in QGIS, a prerequisite for properly handling AV data in Switzerland, were only some of the many noteworthy points he touched.

The highlight of Matthias’ presentation was the better OGC API Features support in QGIS, which was also highlighted in a subsequent talk about Kablo, showing how the next generation of industry solutions (Fachschalen) will be implemented.
```
Slides: Neues aus der QGIS Welt - QGIS Anwendertag 2024
```
Following was a short presentation on the project DMAV, Christoph Lauber introduced a project that aims to implement an industry solution for official cadastral surveying with QGIS.

Adrian Wicki of the Federal Office for the Environment (FOEN) and Isabel presented how OPENGIS.ch and the partners Puzzle and Zeilenwerk help the FOEN with the SAM project with assess the hazards of flood, forest fire, or landslides, and warn authorities and the population. With an agile project organisation, the complex project succeeds in fulfilling requirements by applying user-centred development concepts. QGIS is used for visualizing and analyzing data and helping forecasters gain insights into the current situation.
```
Slides: BAFU_SAM
```
Andreas Neumann from ETH Zurich and Michael presented the qgis-js project. QGIS-js is an effort to port QGIS core to WebAssembly so that it can be run in a web browser. Although still in the early experimentation phase, this project has great potential to leverage interesting new use cases that weren’t even thinkable before.
```
Slides:   [https:]]   
```
Olivier Monod from the City of Yverdon presented Kablo, an electricity management proof of concept of the next generation implementation for industry solutions developed in collaboration with OPENGIS.ch.

By applying a middleware based on OGC API Features and Django, Kablo shows how common limitations of current industry solutions (like permission management and atomic operations) can be overcome and how the future brings desktop and web closer together.
```
Slides: kablo-qgis-user-days
```
Obviously, it wasn’t just OPENGIS.ch. Sandro Mani from Sourcepole presented the latest and greatest improvements on QWC2, like street view integration and cool QGIS features brought to a beautiful web gis. Andreas Schmid from Kt. Solothurn presented how cool cloud-optimized geotiff (COG) is and what challenges come with it. Interested in the topic? Read more in our report about cloud optimized formats. Mattia Panduri from Canton Ticino explained how they used QGIS to harmonise the cantonal building datasets and Timothée Produit from IG Group SA presented how pic2map helps bring photos to maps.

To round up the morning, Nyall Dawson from North Road Consulting did a live session around the world to show the latest developments around elevation filtering in QGIS.

In the afternoon, workshops followed. Claas Leiner led a QGIS expression one while Matthias and Michael showed how to leverage QGIS processing for building geospatial data processing workflows.

The first QGIS model baker user meeting took place in the third room. The participants discussed this fantastic tool we developed to make INTERLIS work smarter and more productive.
First ModelBaker user meeting
It was a very rich and constructive QGIS user day. We came home with plenty of new ideas and a sense of fulfilment, seeing how great the community we observed and helped grow has become.

A big thanks go to the organisers and everyone involved in making such a great event happen. Only the beer in the sunshine was literally watered by the rain. Nevertheless, there were exciting discussions in the station bistro or in the restaurant coaches on the way home.

See you next time and keep contributing
19 June 2024
12:18
Markus Neteler: GRASS GIS 8.4.0RC1 released
sur Planet OSGeo

The GRASS GIS 8.4.0RC1 release provides more than 515 improvements and fixes with respect to the release 8.3.2. Please support us in testing this release candidate.

The post GRASS GIS 8.4.0RC1 released appeared first on Markus Neteler Consulting.
11:00
Mappery: Japanese Garage Door
sur Planet OSGeo

Marc-Tobias spotted this map on a garage door in Yuigahama beach, Kamakura, Japan, [https:]] (beach), part of [https:]]

??????????????
means “For a safe and secure community”

???
means Kamakura (city)

I’m left wondering why someone would want this map on their garage door, but I’m glad they did
MapsintheWild Japanese Garage Door
18 June 2024
20:19
GeoTools Team: GeoTools 29.6 Released
sur Planet OSGeo

GeoTools 29.6 releasedGeoTools team is providing a release of GeoTools 29.6:geotools-29.6-bin.zipgeotools-29.6-doc.zipgeotools-29.6-userguide.zipgeotools-29.6-project.zipThis is an unscheduled release provided to help teams address CVE-2024-36404. Details of this issue will be made available at the end of the month. This is in keeping with our coordinated vulnerability disclosure policy&nbsp
20:19
GeoTools Team: GeoTools 31.2 Released
sur Planet OSGeo

GeoTools 31.2 released The GeoTools team is pleased to announce the release of the latest maintenance version of  GeoTools 31.2: geotools-31.2-bin.zip geotools-31.2-doc.zip geotools-31.2-userguide.zip geotools-31.2-project.zip This release is also available from the  OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.4
11:00
Mappery: Destination East Finchley
sur Planet OSGeo

Anthony spotted this at East Finchley underground station.

The blurb says:

“Destination East Finchley is a community project, which began in 2017, led by Martin Primary School and funded by the Celebrate Lottery Fund. The project celebrates the journeys made by local residents to live here in the diverse community of East Finchley, N2.

Many of the stories were documented on the circular posterds by those who made the journey, or by their families. The postcards then inspired pupils at Martin Primary School to create poetry on the theme of migration, some of which are displayed here inside the birds.

Each dot on the map represents the place from where a local resident or family originates, reflecting the breath of migration to this small part of London. More Info
MapsintheWild Destination East Finchley
6:45
Marco Bernasocchi: Supercharge your fieldwork with QField’s project and app-wide plugins
sur Planet OSGeo
This blog post will introduce QField’s brand new plugin framework and walk through the creation of a plugin to support bird watchers in need of a quick way to digitize photos of spotted birds onto a point vector layer.
QField Plugin Snap! in action A plugin framework is born!
As announced recently, QField now empowers users through a brand new plugin framework allowing for simple customization on the way the application behaves or looks all the way through to creating completely new functionalities.

The plugin framework relies on Qt’s QML engine and JavaScript, allowing for cross-platform support out of the box. This means that plugins will run perfectly fine on all platforms currently supported by QField: Android, iOS, Windows, Linux, and macOS.
App-wide plugin vs. project plugin
First, let’s look at the two types of plugins supported by QField: app-wide plugins and project plugins. As their names imply, the main difference is their scope. An enabled app-wide plugin will remain active as long as QField is running, while project plugins are activated on project load and deactivated when the project tied to the plugin is closed.

Project plugins are shipped alongside a given project file (.qgs/.qgz). Project plugins must share the same name of the project file with a .qml extension. For example, if your project file is birdwatcher.qgz, QField will look for the presence of a birdwatcher.qml to activate the project plugin. For app-wide plugins, installation is done via the plugins manager popup; more on this below.

Distribution of project plugins can be greatly facilitated through QFieldCloud. The presence of project plugins within a cloud project environment will be automatically detected and packaged alongside the project file and its datasets when deployed to QField devices.
Starting with a project plugin
We will start with looking into a simple project plugin that offers a new digitizing mechanism focused on snapping photos as a trigger for point feature addition. This plugin will demonstrate how new functionalities and behaviors can be added to QField to serve specific needs. In this case, the new digitizing mechanism could come in handy for bird watchers and other users in need of a quick way to snap photos!

It’s advised to download a version of QField running on your desktop environment while testing plugins. Links to Windows, Linux, and macOS builds are available here. Once installed, download this project archive containing a tiny birdwatcher sample project and extract it into a new directory on your local machine.

The project archive consists of a point vector layer (observations.gpkg), a project file (birdwatcher.qgz) as well as a project plugin (birdwatcher.qml) which we will look into below. Please note that the point vector layer’s attribute form is already configured to display captured photos. We will not spend time on attribute form setup in this post; see this relevant documentation page if you are interested in knowing how that was achieved.

We can now test the project plugin by opening the project (birdwatcher.qgz) in QField. Users familiar with QField will notice a new ‘camera’ tool button present on the top-right corner of the map canvas. This button was added by the project plugin. You can press on it, to open the QField camera, take a photo (of yourself, a random object on your table, or with a bit of luck a bird), and witness how that leads to a point feature creation.
Digging into the project plugin file
Let’s open the project plugin file (birdwatcher.qml) in your favorite text editor. The first few lines define the QML imports needed by the plugin:
```
import QtQuick
import QtQuick.Controls

import org.qfield
import org.qgis
import Theme

import "qrc:/qml" as QFieldItems
```
Beyond the two QtQuick imports, we will make use of QField-specific types and items as well as QGIS ones (registered and declared in this source file), a Theme to retrieve icons and colors as well as QField items such as tool buttons (see this source directory), as well as the QField QML items embedded into the application itself to make use of the camera.

The next line declares an generic Item component which will be used by QField to initiate the plugin. This must be present in all plugins. As this plugin does, you can use the Component.onCompleted signal to trigger code execution. In this case, we are using iface to add a tool button on top of the map canvas:
```
Component.onCompleted: {
  iface.addItemToPluginsToolbar(snapButton)
}
```
Just above these lines, the plugin declare a number of properties pointing to items found in the main QField ApplicationWindow:
```
property var mainWindow: iface.mainWindow()
property var positionSource: iface.findItemByObjectName('positionSource')
property var dashBoard: iface.findItemByObjectName('dashBoard')
property var overlayFeatureFormDrawer: iface.findItemByObjectName('overlayFeatureFormDrawer')
```
Users can reach through to any items within QField’s ApplicationWindow provided they have an objectName property defined. The string value is used in the iface.findItemByObjectName() function to retrieve the item.

The rest of the file consists of a loader to activate the QField camera, a tool button to snap a photo, and a function to create a new feature within which the current position is used as geometry and the snapped photo is attached to the feature form.

The function itself provides a good example of what can be achieved by using the parts of QGIS exposed through QML, as well as utility functions and user interface provided by QField:
```
function snap(path) {
  let today = new Date()
  let relativePath = 'DCIM/' + today.getFullYear()
                              + (today.getMonth() +1 ).toString().padStart(2,0)
                              + today.getDate().toString().padStart(2,0)
                              + today.getHours().toString().padStart(2,0)
                              + today.getMinutes().toString().padStart(2,0)
                              + today.getSeconds().toString().padStart(2,0)
                              + '.' + FileUtils.fileSuffix(path)
  platformUtilities.renameFile(path, qgisProject.homePath + '/' + relativePath)
  
  let pos = positionSource.projectedPosition
  let wkt = 'POINT(' + pos.x + ' ' + pos.y + ')'
  
  let geometry = GeometryUtils.createGeometryFromWkt(wkt)
  let feature = FeatureUtils.createFeature(dashBoard.activeLayer, geometry)
      
  let fieldNames = feature.fields.names
  if (fieldNames.indexOf('photo') > -1) {
    feature.setAttribute(fieldNames.indexOf('photo'), relativePath)
  } else if (fieldNames.indexOf('picture') > -1) {
    feature.setAttribute(fieldNames.indexOf('picture'), relativePath)
  }

  overlayFeatureFormDrawer.featureModel.feature = feature
  overlayFeatureFormDrawer.state = 'Add'
  overlayFeatureFormDrawer.open()
}
```
The QGIS API Documentation site is a good resource for learning what parts of the many QGIS classes are exposed to QML. For example, the QgsFeature documentation page contains a Properties section and a Q_INVOKABLE prefix next to functions indicating their availability within a QML/JavaScript environment.
Deployment of a project plugin via QFieldCloud
As mentioned above, QFieldCloud greatly eases the deployment of project plugins to devices in the field. We will now go through the steps required to create a cloud project environment based on the birdwatcher sample project, and witness it handling the project plugin automatically.

This will require you to registered for a freely available QFieldCloud community account if you haven’t done so yet (it takes a minute to do so, what are you waiting for ). We will also need the QFieldSync plugin in QGIS, which can be enabled through the QGIS plugin manager.

Let’s open QGIS, and log into QFieldCloud by clicking on the QFieldSync toolbar’s blue cloud icon. Once logged in, click on the ‘Create New Project’ tool button found at the bottom of the dialog.

In the subsequent panel dialog, choose the ‘Create a new empty QFieldCloud project’ and then hit the ‘Next’ button. Give it a name and a description, and for the local directory, pick the folder within which you had extracted the birdwatcher project, then hit the ‘Create’ button.

QFieldSync will then ask you to upload your newly created cloud project environment to the server. Notice how the project plugin file (birdwatcher.qml) is part of the files to be delivered to the cloud. Confirm by clicking on the ‘Upload to server’ button.

When QFieldSync is finished uploading, you are ready to take your mobile device, open QField, log into your QFieldCloud account and download the cloud project. Once the cloud project is loaded, you will be asked for permission to load the project plugin, which you can grant on a permanent or one-time basis.

Bravo! You have successfully deployed a project plugin through QFieldCloud.
Creating an app-wide plugin directory
Let’s move on to creating a functional app-wide plugin directory. Download this sample app-wide plugin and extract it into a new directory placed in the ‘plugins’ directory, itself found within the QField app directory. The location of the app directory is provided in the ‘About QField’ overlay, take note of it prior to extracting the plugin if you have not done so yet.

As seen in the screenshot above, which demonstrates the directory hierarchy, a given plugin directory must contain at least two files: a main.qml file, which QField will use to activate the plugin, and a metadata.txt file containing basic information on the plugin, such as the plugin name, author details, and version.

Here’s a sample metadata.txt from the birdwatcher project plugin upgraded into an app-wide plugin:
```
[general]
name=Snap!
description=Digitize points through snapping photos
author=OPENGIS.ch
icon=icon.svg
version=1.0
homepage=https://www.opengis.ch/
```
Opening main.qml in your favourite text editor will reveal that it has the exact same content as the above-shared project plugin. The only change is the renaming of birdwatcher.qml to main.qml to take into account this plugin’s app-wide scope.

PSA: we have setup this GitHub QField template plugin repository to ease creation of plugins. Fork at will!
Deploying app-wide plugins
While currently not as smooth as deploying a project plugin through QFieldCloud, app-wide plugins can be installed onto devices using a URL pointing to a zipped archive file containing the content of a given plugin directory. The zipped archive file can then be hosted on your own website, on a GitHub or GitLab repository, a Dropbox link, etc.

In QField, open the plugins manager popup found in the settings panel, and use the ‘Install plugin from URL’ button to paste a URL pointing to a zipped plugin file.

You should keep the zipped archive file name consistent for a better user experience, as it is used to determine the installation directory. This is an important consideration to take into account when offering plugin updates. If your zipped plugin file name changes, the plugin will not be updated but rather added to a new directory alongside the previously installed plugin.

QField does allow for a version tag to be added to a zipped archive file name, provided it is appended at the end of the file name, preceded by a dash, and includes only numbers and dots. For example, myplugin-0.0.1.zip and myplugin-0.2.1.zip will install the plugin in the myplugin directory.
Empowering users as well as developers
Here at OPENGIS.ch, we believe this new plugin framework empowers not only users but also developers, including our very own ninjas! With plugin support, we now have the possibility to develop answers to specific field scenarios that would not necessarily be fit for QField-wide functionalities. We would love to hear your opinion and ideas.

If you would like to supercharge your fieldwork and need some help, do not hesitate to contact us – your projects are our passion

P.S. If you are developing a cool QField plugin, also let us know!
```
Bird SVG in video CC-BY   [https:]]  
```
2:00
GeoServer Team: GeoServer 2.25.2 Release
sur Planet OSGeo
GeoServer 2.25.2 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. This release is made ahead of schedule to address an urgent bug or security vulnerability (see CVE-2024-36401 below). GeoServer 2.25.2 is made in conjunction with GeoTools 31.2, and GeoWebCache 1.25.2.

Thanks to Jody Garnett (GeoCat) for making this release on behalf of GeoCat customers.
Security Considerations
This release addresses security vulnerabilities and is considered an essential upgrade for production systems.
- CVE-2024-36401 Critical
- CVE-2024-34696 Moderate
- CVE-2024-35230 Moderate
- CVE-2024-24749 Moderate
The details of this vulnerability will be made available at the end of the month providing an opportunity to update.

The use of the CVE system allows the GeoServer team to reach a wider audience than blog posts. See the project security policy for more information on how security vulnerabilities are managed.
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
Release notes
New Feature:
- GEOS-11390 Replace TestWfsPost with Javascript Demo Page
Improvement:
- GEOS-11351 Exact term search in the pages’ filters
Bug:
- GEOS-7183 Demo request/wcs/wps pages incompatible with [HTTPS]
- GEOS-11416 GeoPackage output contains invalid field types when exporting content from PostGIS
- GEOS-11430 CiteComplianceHack not correctly parsing the context
Task:
- GEOS-11411 Upgrade to ImageIO-EXT 1.4.11
- GEOS-11426 Rework community dependency packaging to use module’s dependencies
- GEOS-11429 Split COG community module packaging based on target cloud provider
- GEOS-11432 Upgrade to ImageIO-EXT 1.4.12
For the complete list see 2.25.2 release notes.
Community Updates
Community module development:
- GEOS-11412 Remove reference to JDOM from JMS Cluster (as JDOM is no longer in use)
- GEOS-11413 STAC uses inefficient dabase queries when asking for collections in JSON format
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 2.25 Series
Additional information on GeoServer 2.25 series:
Release notes: ( 2.25.2 | 2.25.1 | 2.25.0 | 2.25-RC )
2:00
GeoServer Team: GeoServer 2.24.4 Release
sur Planet OSGeo
GeoServer 2.24.4 release is now available with downloads (bin, war, windows), along with docs and extensions.

This is a maintenance release of GeoServer providing existing installations with minor updates and bug fixes. It also includes security vulnerability fixes.

GeoServer 2.24.4 is made in conjunction with GeoTools 30.4, and GeoWebCache 1.24.4.

Thanks to Peter Smythe (AfriGIS) for making this release.
Security Considerations
This release addresses security vulnerabilities and is considered an essential upgrade for production systems.
- CVE-2024-36401 Critical
- CVE-2024-34696 Moderate
- CVE-2024-24749 Moderate
The details of this vulnerability will be made available at the end of the month providing an opportunity to update.

The use of the CVE system allows the GeoServer team to reach a wider audience than blog posts. See project security policy for more information on how security vulnerabilities are managed.
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
Release notes
New Feature:
- GEOS-11390 Replace TestWfsPost with Javascript Demo Page
Improvement:
- GEOS-11311 Show a full stack trace in the JVM stack dump panel
- GEOS-11369 Additional authentication options for cascaded WMS WMTS data stores
- GEOS-11400 About Page Layout and display of build information
- GEOS-11401 Introduce environmental variables for Module Status page
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-11331 OAuth2 can throw a “ java.lang.RuntimeException: Never should reach this point”
- GEOS-11332 Renaming style with uppercase/downcase empty the sld file
- GEOS-11382 The interceptor “CiteComplianceHack” never gets invoked by the Dispatcher Servlet
- 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-11430 CiteComplianceHack not correctly parsing the context
Task:
- GEOS-11318 Upgrade postgresql from 42.6.0 to 42.7.2
- 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
For the complete list see 2.24.4 release notes.
Community Updates
Community module development:
- GEOS-11040 Could not get a ServiceInfo for service Features thus could not check if the service is enabled
- 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)
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:
Release notes: ( 2.24.4 | 2.24.3 | 2.24.2 | 2.24.1 | 2.24.0 | 2.24-RC )
17 June 2024
11:00
Mappery: Orchids festival
sur Planet OSGeo

Barry Ruderman from raremaps.com shared this map from the Orchids Festival in Kew Gardens.
MapsintheWild Orchids festival
16 June 2024
18:06
GeoTools Team: GeoTools 30.4 released
sur Planet OSGeo

GeoTools 30.4 released The GeoTools team is pleased to announce the release of the latest maintenance version of GeoTools 30.4: geotools-30.4-bin.zip geotools-30.4-doc.zip geotools-30.4-userguide.zip geotools-30.4-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.4 and GeoWebCache
11:00
Mappery: Marking off the Countries Visited
sur Planet OSGeo

Marc-Tobias spotted this camper van in Hamburg. It looks as if the owners are marking off the countries that they have visited in it.
MapsintheWild Marking off the Countries Visited
15 June 2024
11:00
Mappery: France on the Ceiling
sur Planet OSGeo

Andy Piper spotted this great collage on a ceiling. He said “Hey there, just in Big Fernand (French hamburger restaurant) in London today – they have France on the ceiling! “

Good spot Andy!
MapsintheWild France on the Ceiling
14 June 2024
15:10
Oslandia: New release for QField : 3.3 “Darién”
sur Planet OSGeo

Oslandia is the main partner of OPENGIS.ch around QField. We are proud today to forward the announcement of the new QField release 3.3 “Darién”. This release introduces a brand new plugin framework that empowers users to customize and add completely new functionalities to their favourite field application.

The plugin framework comes with other new features and improvements for this release, detailed below.
Main highlights
One of the biggest feature additions of this version is a brand new drawing tool that allows users to sketch out important details over captured photos or annotate drawing templates. This was a highly requested feature, which is brought to all supported platforms (Android, iOS, Windows, macOS, and, of course, Linux) with the financial support of the Swiss QGIS user group.

Also landing in this version is support for copying and pasting vector features into and from the clipboard. This comes in handy in multiple ways, from providing a quick and easy way to transfer attributes from one feature to another through matching field names to pasting the details of a captured feature in the field into a third-party messenger, word editing, or email application. Copying and pasting features can be done through the feature form’s menu as well as long pressed over the map canvas. Moreover, a new feature-to-feature attributes transfer shortcut has also been added to the feature form’s menu. Appreciation to Switzerland, Canton of Lucerne, Environment and Energy for providing the funds for this feature.

The feature form continues to gain more functionalities; in this version, the feature form’s value map editor widget has gained a new toggle button interface that can help fasten data entry. The interface replaces the traditional combo box with a series of toggle buttons, lowering the number of taps required to pick a value. The German Archaeological Institut – KulturGutRetter sponsored this feature.

Other improvements in the feature form include support for value relation item grouping and respect for the vector layer attributes’ « reuse last entered value » setting.

Finally, additional features include support for image decoration overlay, a new interface to hop through cameras (front, back, and external devices) for the ‘non-native’ camera, the possibility to disable the 3-finger map rotation gesture, and much more.
User experience improvements
Long-time users of QField will notice the new version restyling of the information panels such as GNSS positioning, navigation, elevation profile, and sensor data. The information is now presented as an overlay sitting on top of the map canvas, which increases the map canvas’ visibility while also achieving better focus and clarity on the provided details. With this new version, all details, including altitude and distance to destination, respect user-configured project distance unit type.

The dashboard’s legend has also received some attention. You can now toggle the visibility of any layer via a quick tap on a new eye icon sitting in the legend tree itself. Similarly, legend groups can be expanded and collapsed directly for the tree. This also permits you to show or hide layers while digitizing a feature, something which was not possible until now. The development of these improvements was supported by Gispo and sponsored by the National Land Survey of Finland.
Plugin framework
QField 3.3 introduces a brand new plugin framework using Qt’s powerful QML and JavaScript engine. With a few lines of code, plugins can be written to tweak QField’s behaviour and add new capabilities. Two types of plugins are possible: app-wide plugins as well as project-scoped plugins. To ensure maximum ease of deployment, plugin distribution has been made possible through QFieldCloud! Amsa provided the financial contribution that brought this project to life.

Our partner OPENGIS.ch will soon offer a webinar to discover how QField plugins can help your field (and business) workflows by allowing you to be even more efficient in the field.

Users interested in authoring plugins or better understanding the framework, can already visit the dedicated documentation page and a sample plugin implementation sporting a weather forecast integration.

A question concerning QField ? Interested in QField deployment ? Do not hesitate to contact Oslandia to discuss your project !
11:00
Mappery: Babelroth anno 1776
sur Planet OSGeo

Ekki Plicht sent us this pic from Babelroth in Germany

“Here is a nice mural which can be seen in the village of Barbelroth in
Germany. It is mounted on the wall at the corner of Hauptstraße and
Mühlstraße, and it is already mapped in OSM, object. [https:]]

Cheers.
Ekki”
MapsintheWild Babelroth anno 1776
8:30
QGIS Blog: QGIS Grant Programme 2024 Update no. 2
sur Planet OSGeo
Thanks to generous supporters, we are in the wonderful position to be able to announce that another project is successfully funded:
- QEP#248 Authentication System: allow Database storage for authentication DB
Our thanks go out to:
- Gis3W
- QTIBIA Engineering and QCooperative
- QGIS User Group Germany (QGIS Anwendergruppe Deutschland e.V.)
- Hytech-imaging spectral imaging for environmental mapping and monitoring in civil and defence applications
for providing the additional funding to top up the QGIS Grant Programme contribution for QEP#248.

The next proposals on the wait list are:
If you want to help make these improvement a reality, please get in touch.
6:47
OPENGIS.ch: Django Full-Stack Engineer with DevOps Affinity – 80 – 100% (Remote)
sur Planet OSGeo
Location: Remote, preferably with at least 4h overlap to CEST office hours

Employment Type: Full-time (80-100%)

About OPENGIS.ch:

OPENGIS.ch is a team of Full-Stack GeoNinjas offering personalized open-source geodata solutions to Swiss and international clients. We are dedicated to using and developing open-source tools, providing flexibility, scalability, and future-proof solutions, and playing a key role in the free and open-source geospatial community. We pride ourselves on our agile and distributed nature, which allows us to have a motivated and multicultural team that supports each other in working together.

Job Description:

We are seeking a passionate and skilled Django Full-Stack Engineer with a strong affinity for DevOps to join our team. The ideal candidate will work primarily on QFieldCloud, our cutting-edge cloud-based solution that brings QGIS projects to the field. You will help develop and maintain the full stack of the QFieldCloud platform, ensuring high performance and stability and implementing new features.

Responsibilities:
- Develop, test, and maintain the QFieldCloud platform using Django, Python, PostgreSQL and other modern web technologies.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the performance, quality, and responsiveness of the application.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automation.
- Work closely with the DevOps team to manage and optimize deployment pipelines, including Docker, Kubernetes, and other containerization and orchestration technologies.
- Provide technical guidance and support to clients regarding deployment and usage of the platform.
Qualifications:
- Strong experience with Django and Python in a full-stack capacity.
- Proficiency in front-end technologies, including JavaScript, HTML5, and CSS3.
- Experience with Linux, Docker (compose), K8s, Git, and PostgreSQL.
- Familiarity with geospatial concepts and web GIS applications is a plus.
- Good understanding of software deployment, containerization, and continuous integration practices.
- Excellent problem-solving skills and ability to work independently.
- Strong communication skills and ability to work in a distributed team environment.
- Fluency in English; knowledge of German, French, Italian, Spanish, or Romansh is a plus.
Perks:

At OPENGIS.ch, we enjoy a variety of perks that make our work experience rewarding. Here’s what we get:
- Flexible Work Hours: We have the freedom to set our own schedules, which helps us better manage our personal and professional lives.
- Remote Work Opportunities: We can work from anywhere, giving us the flexibility to choose our work environment.
- Learning and Development: We are encouraged to grow professionally with access to training programs and workshops.
- Innovative Environment: We thrive in an atmosphere that’s at the forefront of GIS technology, which keeps our work exciting.
- Collaborative Team: We value teamwork and the exchange of ideas, making our workplace dynamic and supportive.
Questions for Applicants:
- What’s your experience with software deployment and containers?
- What is your favourite Django app? Why? Have you ever upstreamed a patch in Django or an app? if so, please provide a link to the pull request.
- What is the error in the featured image of this post?
- What did you last learn out of interest?
How to Apply:

If you are excited about this opportunity and meet the qualifications, please submit an application at opengis.ch/jobs

Join us at OPENGIS.ch and become a part of our mission to provide innovative open-source geospatial solutions!
13 June 2024
11:00
Mappery: 17th C Antwerp Street Scene
sur Planet OSGeo

Reinder sent us this massive 17C repro of a street map of Antwerp on a hoarding. The info on the side says “art historians, developed especially for the festival and pastor of Sint-Andries, a city walk along many landmarks in the city.”
MapsintheWild 17th C Antwerp Street Scene
2:00
Camptocamp: 3D Technology Serving Rennes Métropole's Solar Cadastre
sur Planet OSGeo

Pièce jointe: [télécharger]

Camptocamp put its expertise to work for the city, by developing a totally customized application, based on an extremely clear user experience.
2:00
Camptocamp: 3D Technology Serving Rennes Métropole's Solar Cadastre
sur Planet OSGeo

Camptocamp put its expertise to work for the city, by developing a totally customized application, based on an extremely clear user experience.
2:00
GeoServer Team: GeoServer 2.23.6 Release
sur Planet OSGeo
GeoServer 2.23.6 release is now available with downloads (bin, war, windows), along with docs and extensions.

This series has previously reached end-of-life, with this release issued to address an urgent bug or security vulnerability (see CVE-2024-36401 below).

This GeoServer 2.23.6 update is provided as a temporary measure. Rather plan to upgrade to a stable GeoServer 2.25.2 or maintenance GeoServer 2.24.4.

GeoServer 2.23.6 is made in conjunction with GeoTools 29.6, and GeoWebCache 1.23.5.

Thanks to Jody Garnett (GeoCat) for making this release on behalf of GeoCat customers.
Security Considerations
This release addresses security vulnerabilities and is considered an essential update for production systems.
- CVE-2024-36401 Critical
- CVE-2024-24749 Moderate
The details of this vulnerability will be made available at the end of the month providing an opportunity to update.

See project security policy for more information on how security vulnerabilities are managed.
Release notes
Improvement:
- GEOS-11327 Add warning about using embedded data directories
- GEOS-11347 STAC Landing Page links should include root link
Bug:
- GEOS-11331 OAuth2 can throw a “java.lang.RuntimeException: Never should reach this point”
Task:
- GEOS-11316 Update Spring version to 5.3.32
- GEOS-11318 Upgrade postgresql from 42.6.0 to 42.7.2
For the complete list see 2.23.6 release notes.
Community Updates
Community module development:
- GEOS-11348 JMS cluster does not allow to publish style via REST “2 step” approach
- 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)
Community modules are shared as source code to encourage collaboration. If a topic being explored is of interest to you, please contact the module developer to offer assistance.
About GeoServer 2.23 Series
Additional information on GeoServer 2.23 series:
Release notes: ( 2.23.6 | 2.23.5 | 2.23.4 | 2.23.3 | 2.23.2 | 2.23.1 | 2.23.0 | 2.23-RC1 )
2:00
Camptocamp: 3D Technology Serving Rennes Métropole's Solar Cadastre
sur Planet OSGeo

Pièce jointe: [télécharger]

Camptocamp put its expertise to work for the city, by developing a totally customized application, based on an extremely clear user experience.
12 June 2024
11:00
Mappery: Anne Hathaway’s Garden
sur Planet OSGeo

Berl spotted this map sculpture he found in the grounds of Ann Hathaway’s cottage just outside Stratford-on-Avon. It is described as:

A sculpture inspired by Shakespeare’s history plays, designed for Anne Hathaway’s Cottage Tree Garden. The sculptor is Jane Lawrence.

Not sure how this connects to the history plays with no towns depicted?

MapsintheWild Anne Hathaway’s Garden
11 June 2024
11:00
Mappery: A Wild Map in Spitalfields
sur Planet OSGeo

Elizabeth spotted this cool looking bike in Spitalfields market in London
MapsintheWild A Wild Map in Spitalfields
6:50
OPENGIS.ch: QField 3.3 “Darién”: It is just the beginning
sur Planet OSGeo

QField 3.3 has been released, and with it, we are proud to introduce a brand new plugin framework that empowers users to customize and add completely new functionalities to their favourite field application. That’s on top of a bunch of new features and improvements added during this development cycle. What preceded this moment was just the beginning!
Main highlights
One of the biggest feature additions of this version is a brand new drawing tool that allows users to sketch out important details over captured photos or annotate drawing templates. This was a highly requested feature, which we are delighted to bring to all supported platforms (Android, iOS, Windows, macOS, and, of course, Linux) with the financial support of the Swiss QGIS user group.

Also landing in this version is support for copying and pasting vector features into and from the clipboard. This comes in handy in multiple ways, from providing a quick and easy way to transfer attributes from one feature to another through matching field names to pasting the details of a captured feature in the field into a third-party messenger, word editing, or email application. Copying and pasting features can be done through the feature form’s menu as well as long pressed over the map canvas. If copy pasting ain’t your style, a new feature-to-feature attributes transfer shortcut has also been added to the feature form’s menu. Appreciation to Switzerland, Canton of Lucerne, Environment and Energy for providing the funds for this feature.

The feature form continues to gain more functionalities; in this version, the feature form’s value map editor widget has gained a new toggle button interface that can help fasten data entry. The interface replaces the traditional combo box with a series of toggle buttons, lowering the number of taps required to pick a value. If you enjoy this as much as we do, send a virtual thanks to German Archaeological Institut – KulturGutRetter, which sponsored this feature.

Other improvements in the feature form include support for value relation item grouping and respect for the vector layer attributes’ “reuse last entered value” setting.

Finally, additional features that are sure to please include support for image decoration overlay, a new interface to hop through cameras (front, back, and external devices) for the ‘non-native’ camera, the possibility to disable the 3-finger map rotation gesture, and much more.
User experience improvements
Long-time users of QField will notice the new version restyling of the information panels such as GNSS positioning, navigation, elevation profile, and sensor data. The information is now presented as an overlay sitting on top of the map canvas, which increases the map canvas’ visibility while also achieving better focus and clarity on the provided details. While revisiting these information panels, we’ve made sure all details, including altitude and distance to destination, respect user-configured project distance unit type.

The dashboard’s legend has also received some attention. You can now toggle the visibility of any layer via a quick tap on a new eye icon sitting in the legend tree itself. Similarly, legend groups can be expanded and collapsed directly for the tree. This also permits you to show or hide layers while digitizing a feature, something which was not possible until now. The development of these improvements was supported by Gispo and sponsored by the National Land Survey of Finland.
Plugin framework
Last but far away from least, QField 3.3 introduces a brand new plugin framework using Qt’s powerful QML and JavaScript engine. With a few lines of code, plugins can be written to tweak QField’s behaviour and add breathtaking capabilities. Two types of plugins are possible: app-wide plugins as well as project-scoped plugins. To ensure maximum ease of deployment, we have enabled project plugin distribution through QFieldCloud! We extend our heartfelt thanks to Amsa for the financial contribution that brought this incredible project to life.

Stay tuned for an upcoming webinar and a dedicated post that will dive into how QField plugins can revolutionize your field (and business) workflows by allowing you to be even more efficient in the field.

Users interested in authoring plugins or better understanding the framework can already visit the dedicated documentation page, a sample plugin implementation sporting a weather forecast integration and our latest blog article.
10 June 2024
13:00
Mappery: Eshkol
sur Planet OSGeo

Spotted this map in a cafe in Tel Aviv.

Eshkol is the region adjacent to the Gaza Strip where the attack of 7/10 took place.

It’s a map in the wild not an endorsement of either side in this conflict
MapsintheWild Eshkol
09 June 2024
11:00
Mappery: Breweries of the World
sur Planet OSGeo

And to end the week nicely, refreshingly, I would say, here is our co-founder, who is back with some art in a bar. This is a version of Kenneth Field’s Breweries of the World.
MapsintheWild Breweries of the World
08 June 2024
11:00
Mappery: « C215 autour de l’Inguimbertine »
sur Planet OSGeo

From the 8th of June to the 31st of October 2024, a temporary exhibition at the Inguimbertine, Carpentras (FR) Chrisitan Guémy, alias C215, exhibits these works, including the maps.

Chrisitan Guémy’s website (link to the English version).

About the exhibit, follow this other link (FR)
MapsintheWild « C215 autour de l’Inguimbertine »
07 June 2024
11:00
Mappery: Globe clock
sur Planet OSGeo

Displayed at the Victoria and Albert Museum aka the V&A
MapsintheWild Globe clock
7:34
QGIS Blog: Danish User Group becomes Flagship Member
sur Planet OSGeo

QGIS User Groups all over the world have become an essential component of the QGIS community. They provide a point of contact for local users and developers and help people connect through localized communication channels or by organizing events.

Another important aspect of users groups is that many of them also have become sustaining members of QGIS.ORG. In total, their contributions account for a significant share of our project budget.

The Danish User Group now has opened a new chapter by becoming the first user group supporting QGIS on the Flagship level. And that’s a reason to celebrate and to reminisce. For example, about the awesome time we had at the first QGIS User Conference organized at the University of Copenhagen campus in Nødebo.

And who can forget how we all struggled to pronounce QGIS 2.16 “Nødebo”?

And how the “ø” upset some services? Good times.

Thank you very much to everyone from the Danish user group and to all the other user groups, small and large, who support QGIS our project and help make it even better for everyone.
06 June 2024
17:24
Mapgears: Mapgears wins the regional MercadOr award in the category ‘Sustained Growth in Exportation’
sur Planet OSGeo

On June 5th, SERDEX International awarded prizes to four companies that stood out in the region. Mapgears was one of the winning companies in the “Sustained Growth in Exportation” category. As mentioned by Daniel Morissette, President of Mapgears:
This award is a recognition for the entire Mapgears team: we sell software, and our raw materials to make it are the brains, skills, and creativity of the team members… without all the team members, none of this would have been possible.

Photo Credit: Journal Le Quotidien

To learn more about this wonderful evening and the incredible companies that were honored, we invite you to read the article in Le Quotidien newspaper right here! (French only)

The post Mapgears wins the regional MercadOr award in the category ‘Sustained Growth in Exportation’ appeared first on Mapgears.
17:14
Tim Waters: Vaisigano
sur Planet OSGeo
Vaisigano is a prototype citizen science project focused on fresh water resources by National University of Samoa and The Übersee Museum. On Instagram @s_vaisigano and on Facebook Citizen Science Vaisigano. Vaisigano is the name of the river in Samoa by the University.

Last year I was involved to help develop the prototype mobile-first web app for geolocated data collection ahead of a visit to the field with biologists and students.

Aimed at non specialist university students to use in the field to help survey and record measurements and observations for river quality health along a river in Samoa. The purpose of this first app is to show possibilities and demonstration for future solutions. River and water quality measurements can involve surveys for invertebrates (aquatic insects), pH of the water, turbidity, velocity, temperature etc. Traditionally such surveys were taken, recorded on paper and input later back in the laboratory. A mobile device out in the field can also have documents, multimedia and tutorials to guide users. The project involved research into Citizen Science projects. Many good platforms exist, for example ODK or Kobo which can have very complex and detailed logic for forms but it was decided that a more user friendly and casual approach would be better.

The front page gives a brief outline, a call to action button “Start Collecting”, two summary tables of the latest observations and the latest active users.

The main aims:
- Sustainable – able to run on its own
- Collect data in a continuous manner
- Accessible and easy to use
- Handheld
- Benefit learning for curriculum
- Incorporate reinforcement rewards, feedback
- Surveys should be georeferenced
- Review of previous surveys
Some of the challenges included GPS variability in forest, using mobile devices and water, and bandwidth requirements in the field.

The app showed tips before starting.

The application was designed around 3 types of data forms. physical, biological and chemical

Each form had a time and location which used browser / GPS geolocation. Users could move the location if they wanted.

Physical
- River width
- River depth
- Has it been raining or not?
- What evidence of water user can you see (fishing, boats, use for homes, irrigation, etc)
- What man made structures can you see (e.g. weirds, dams, wells, bypass channels etc
- On the surface. Can you see foam, litter, oil on the surface?
- What land use is around the site (pasture, town, forest etc)
- Flow regime. (pools, ripples, waterfalls, rapids, cascade etc)
- What is the colour of the water (clear, murky etc)
- Estimate the water flow (still, slower, or faster than walking speed etc)
- Turblence of water (calm, turbulent)
- Images looking down stream showing both banks
Chemical
These needed a kit to help complete
- Water temperature
- Water acidity
- Conductivity
- Nitrates
- Phosphates
Biological
- Description of the river bank and vegetation and what % of the river is shade
- What evidence of aquatic life: plants below surface, emerging, floating. Fish, insects etc
- Substrates – boulders, stones, gravel, sand, organic matter etc
- Macroinvertables
  - From kick sampling
  - These allowed users to add a name with a count and attach images.
  - Some species would be pre-populatated in the boxes.
The site has an admin page which allows editing and reviewing of contributions and allows them to download all the data as a spreadsheet and to download the images zipped up.

The site has a simple scoring for users based on number of contributions, and shows feedback of their contributions so that people can see the reports coming in and the nature of them

Vaisigano.org

code on github
13:12
GRASS GIS: Results of the GRASS GIS student grant
sur Planet OSGeo

Easy command history navigation through the History browser panel Linda’s work in her own words During my master’s studies, I began contributing to the enhancement of the GRASS GIS user interface (GUI). My main goal was to increase its user-friendliness, making GRASS accessible not only to experienced users with scripting knowledge but also to GIS beginners. Over the years, I have worked on several projects, including: “Creation of a new GRASS GIS startup mechanism”, “First steps towards a new GRASS GIS Single-Window GUI “, “Redesigning a map display status bar combo box into a new settings dialog “, “Improving Single-Window GUI user experience”.
11:00
Mappery: D-Day Landings
sur Planet OSGeo

Elizabeth spotted this advert for a special commemorative coin for the D-Day landings which took place on June 6th, 1944. The coin has a map illustrating the five landing sites – Utah, Omaha, Gold, Juno and Sword
MapsintheWild D-Day Landings
8:28
OPENGIS.ch: QField receives prestigious recognition as a digital public good from the Digital Public Goods Alliance
sur Planet OSGeo
We are thrilled to announce that the Best of Swiss Apps Enterprise winner 2022, QField, has been officially recognized as a Digital Public Good by the UN-endorsed Digital Public Goods Alliance. This prestigious recognition highlights QField’s significant contributions to six key Sustainable Development Goals (SDGs): SDG 6 (Clean Water and Sanitation), SDG 9 (Industry, Innovation, and Infrastructure), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 15 (Life on Land), and SDG 16 (Peace, Justice, and Strong Institutions). The “Swiss Made Software” QField is the leading fieldwork application with almost 1 Million downloads worldwide.
Leading the Way in Fieldwork Technology
QField stands out as the leading fieldwork app, designed to bring the power of geospatial data collection and management to the fingertips of users worldwide. Developed with a user-centric approach, QField allows seamless integration with QGIS, providing a robust and intuitive platform for data collection, visualization, and analysis directly in the field. This recognition as a Digital Public Good underscores QField’s vital role in advancing digital solutions for sustainable development.
QField 3.2 Statistics Accessible for Everyone
One of QField’s key strengths is its ease of use, making it accessible not only to professionals but also to students, researchers, and community members. Its intuitive interface ensures that users with varying levels of technical expertise can efficiently collect and manage geospatial data. This inclusivity promotes wider adoption and engagement, enhancing the app’s impact across different sectors and communities.
Land surveying project Tonga Exemplary Open Source Project
At the heart of QField’s success is its commitment to technological excellence and open-source principles. As an exemplary open-source project, QField fosters a collaborative environment where developers and users alike contribute to continuous improvement and innovation. QField frequently contributes back to its upstream project, QGIS, ensuring mutual growth and enhancement of both platforms. This community-driven approach not only enhances the app’s functionality but also ensures that it remains accessible and adaptable to diverse needs across the globe.
Supporting Sustainable Development Goals
QField’s capabilities extend beyond just one aspect of the United Nations Sustainable Development Goals (SDGs); they intersect with multiple goals, enhancing efforts towards a sustainable future:
- SDG 6: Clean Water and Sanitation: QField facilitates efficient water quality monitoring and management, ensuring communities have access to clean and safe water.
- SDG 9: Industry, Innovation, and Infrastructure: By providing cutting-edge tools for infrastructure planning and development, QField drives innovation in various industries.
- SDG 11: Sustainable Cities and Communities: QField supports urban planning and sustainable development, contributing to the creation of resilient and inclusive cities.
- SDG 13: Climate Action: The app enables precise data collection for climate research and environmental monitoring, aiding in climate action initiatives.
- SDG 15: Life on Land: QField aids in biodiversity assessments and conservation efforts, promoting the sustainable use of terrestrial ecosystems.
- SDG 16: Peace, Justice, and Strong Institutions: Through its reliable and transparent data management capabilities, QField supports the development of strong institutions and governance systems.
Post-disaster assessment Tonga A Future of Innovation and Sustainability
As we celebrate this recognition, we remain committed to pushing the boundaries of what is possible in fieldwork technology. QField will continue to evolve, driven by the needs of its global user base and the imperative to support sustainable development. We invite all stakeholders to join us on this journey towards a more sustainable and equitable future.
Land surveying project Tonga
For more information about QField and its contributions to the SDGs, please visit [https:]]
Media Contact:
Marco Bernasocchi is happy to receive interview requests or queries about the project.
Email: marco@opengis.ch
Phone: +41 79 467 24 70 (14:00 – 18:00 CET)

OPENGIS.ch GmbH
Via Geinas 2
CH-7031 Laax
About the OPENGIS.ch product “QField” application
QField is an open-source fieldwork app that integrates seamlessly with #QGIS, providing a powerful platform for data collection, visualization, and analysis. Designed for professionals across various sectors, QField empowers users to efficiently manage and analyze geospatial data in the field, contributing to sustainable development and innovation worldwide. Link: https://qfield.org
About the OPENGIS.ch service QFieldCloud
#QFieldCloud is a spatial cloud service integrated in #QField that allows remote provisioning and synchronisation of geodata and projects. Although “QFieldCloud” is still in an advanced beta stage, it is already being used by many groups to significantly improve their workflows. Link: https://qfield.cloud
About OPENGIS.ch:
OPENGIS.ch GmbH is a Swiss software development company based in Laax. OPENGIS.ch employs 19 people and works mainly in the field of spatial software development, geodata infrastructure deployments and professional support. Personalised open-source GIS solutions are often planned and developed as desktop or mobile applications. OPENGIS.ch finances itself through tailor-made customer solutions, professional support and adaptations. Link: https://opengis.ch
OPENGIS.ch About Digital Public Goods Alliance (DPGA)
The Digital Public Goods Alliance is a multi-stakeholder initiative endorsed by the United Nations Secretary-General, working to accelerate the attainment of the Sustainable Development Goals in low- and middle-income countries by facilitating the discovery, development, use of, and investment in digital public goods.

For more information on the Digital Public Goods Alliance please reach out to hello@digitalpublicgoods.net.

Images for editorial purposes are freely available for download if the copyright ©OPENGIS.ch is mentioned: [https:]]
05 June 2024
11:00
Mappery: Change the World sip by sip
sur Planet OSGeo

I saw this van at Gloucester Road station
MapsintheWild Change the World sip by sip
2:00
GeoServer Team: How to Implement Basic Security in Geoserver
sur Planet OSGeo
GeoSpatial Techno is a startup focused on geospatial information that is providing e-learning courses to enhance the knowledge of geospatial information users, students, and other startups. The main approach of this startup is providing quality, valid specialized training in the field of geospatial information.

( YouTube | LinkedIn | Facebook | X )
How to Implement Basic Security in Geoserver
In this session, we want to discuss the Security section in GeoServer, Defining Users, Groups, and Roles, and Granting rights to created users. If you want to access the complete tutorial, simply click on the link.

Introduction
GeoServer has a robust security subsystem. Most of the security features are available through the Web Administration interface. In the Security panel, you can find links to set user properties and bind data to security rules. The basic idea is that you create users and roles, and then combine them with data rules to enable a specific set of access policies. You can also limit read and write access by role.
Defining users, groups, and roles
Security in GeoServer is based on a role system where each role defines a specific set of functions. You can assign roles to users and groups; that is, assign functions to real people using your system. To ensure data security, you must identify who is accessing your layers and services.

To organize your real users, GeoServer provides you with the user, group, and role concepts. With the first two, you can insert real people into the GeoServer security subsystem, and with roles, you can grant rights to real users.
User definition
In GeoServer, a user is someone entitled to use the system; it may be another software or a real person. When you add a user to the security system, GeoServer stores a username, uniquely identifying the user, a password, and a set of key/value pairs to store general information about it. You can disable a user at any time, preventing him from using the system.
Group definition
A group in GeoServer is a collection of users. It consists of a list of usernames that are part of the group, along with a unique group name that identifies it. Since GeoServer may have a large number of users, assigning roles to each individual user can be challenging. Therefore, groups can be created to simplify the process, allowing roles to be assigned based on the group membership of users.

Note. Considering that there are no dependencies between users, groups, and roles. A group can be disabled, but note that this only removes the roles deriving from the disabled group and does not disable the users belonging to the group.
Roles definition
GeoServer roles are associated with performing certain tasks or accessing particular resources. Roles are assigned to users and groups, authorizing them to perform the actions associated with the role.
Creating users and groups
To fully understand how security works in GeoServer, we will use a typical scenario. We want to restrict access to this data to only the organization’s members. Inside the organization, there are a few people editing data to create new data sets or to update existing ones, and many more members who need to read data to compose maps. There is also a need for an administrator to keep it all working. Lastly, we need to consider that our GeoServer site also contains data that should remain freely available. We will now create the security organization from an unsecured GeoServer as follows:
- In the Security section of the left pane, click the Users, Groups, and Roles link. This link shows you the User Group Services configured. You will find the default service shipped with GeoServer. Click on the Name to edit it.
- Select the Groups tab, then click on Add a new group.
- Enter group_readers as a group name and leave the group Enabled. Do not assign any role to the new group as we will create specific roles later. Press the Save button.
- Repeat the previous step to create the group_editors and group_admins groups. Your list should now show the three groups.
- Now switch to the Users tab. Obviously, it lists the only existing user, that is, admin, as shown in the screen.
- Click on the Add new user link, and add user_admin with a password of your choice, as Data Administrator.
- Add “user_admin” to the “group_admins”, then press the Save button.
- Repeat the previous step to create a user, user_editor as a member of the “group_editors” group, and user_reader as a “group_readers” group member. Your list now shows the three users.
We just created three users for the three groups and this may seem overkill to you. Consider them as templates for real users. In the real world, we do not want to have too many administrators; we will probably need several “user_readers” and “user_editors” processing the data. Now, we need to define what they can do on GeoServer.
Defining roles
A user or a group without any role assigned is useless. Now it is time to create roles and assign them to our users. Please refer to the following points:
- From the User, Groups, and Roles section, select the Roles tab. You will find that two roles already exist. They are the administrative roles assigned to the admin account, and they grant access to all GeoServer configurations. Click on the Edit link
- Switch to the Roles tab, then click on Add new role.
- Enter role_reader as a new role name. We do not need a Parent role. A child role inherits all the rights from the Parent role, making it useful when you want to extend a basic role with more rights. Indeed, we will do this in the next step.
- Press the Save button and then repeat the previous step to create the role_editor role. This time, select “role_reader” as the Parent role.
- Press the Save button and then repeat the previous step to create the role_admin role. This time, select “role_editor” as the Parent role.
- The final step is to associate a role to users or groups. Select the User, Groups, and Roles page from the left pane, then select the Groups list and click on the “group_readers” group to edit it. Add the “role_reader” role to the group and save it.
- Now click on the “group_editors” group and associate it with the role_editor role.
- Finally, associate the “group_admins” group to the “role_admin” role.
By defining roles and associating them to the users, we completed the definition of our organization. Now, we need to explore how data is bound to roles and users.
Accessing data and services
GeoServer supports access control at both the service level and at the per-layer or per-workspace level, allowing for restriction of service operations to authenticate users with specific roles. This helps in ensuring data security and controlling access to different layers or workspaces within the server. When working with layers, you can define rules that specify what a role can do on any specific layer.

The operations controlled are the view, write, and admin access. When granting read access on a layer, you enable a user to add it on a map; while granting write access you enable the user to update, create, and delete features contained in the layer. The admin access level enables the user to update the layer’s configuration.
Layer Security
We want to protect the dataset contained in the test workspace from unauthorized access while leaving the remaining layers freely available to all users. In this section, we will associate layers and roles:
- Navigate to the Data > Security page. The rules list shows the two shipped with the default GeoServer configuration. The *.*.r rule is associated with the * roles. This means that “any user”, including the anonymous one, can access “any layer” from “any workspace” configured on GeoServer. The general format of the rules is: workspace.layer.accessMode.
- Now click on the Add new rule link. In the rule editing page, select test as the Workspace and leave “*” as a Layer. Since we want to protect all layers in this workspace, the Access mode should be Read. Select the “role_reader” role and move it to the right list by clicking on the arrow. Press the Save button to create the reading rule.
- Repeat the previous step to create a writing rule. Select Write as the access mode and “role_editor” as the role.
- Repeat the previous step, then create the administration rule. In other words, select Admin as the Access mode and “role_admin” as the Role.
- Press the Save button, on the rule list page, and then log off from the GeoServer web interface. If you try to access the layer preview anonymously, you won’t see any layers from the test workspace while all the others are still listed.
- Now, log on as “user_reader”, with the password you assigned to him. Going back to the layer preview, you should see the test layers listed. Try the Open Layers preview page for the river layer. It works and you can use the data to compose maps.
- However, “user_reader” can’t edit the styles associated with the layer or any other property. He would need admin rights granted for it; can you guess who the proper user will be?
- Log on to GeoServer as “user_admin”. Now, the left pane is richer than it was when you were “user_reader”, but with fewer features than those visible to the GeoServer’s default admin role. Click on the Layer link; you will see only the layers belonging to the test workspace.
- If you go on Layer preview and select the rivers layer again, can you see the map? Of course, you can. Because of roles inheritance, which you set when creating the roles. So, “role_admin” inherits all the rights from “role_editor”, and hence from “role_reader”.
In this session, we took a brief journey through GeoServer security. we discussed the Security section, Defining Users, Groups, and Roles, and Granting rights to created users in GeoServer. If you want to access the complete tutorial, simply click on the link.
04 June 2024
11:00
Mappery: The Mountain Goats Tour 2019
sur Planet OSGeo

Dean shared with us this t-shirt
MapsintheWild The Mountain Goats Tour 2019
03 June 2024
11:00
Mappery: Clerkenwell Design Week
sur Planet OSGeo

A few weeks ago, Clerkenwell Design Week took place. The website offers an interactive virtual map, but luckily, we could find some real ones, in the wild, wandering in the street during the event.
MapsintheWild Clerkenwell Design Week
02 June 2024
11:00
Mappery: Shirts
sur Planet OSGeo

Alex Selby-Boothroyd sent us these shirts; thank you for sharing. Let’s do a bit of commercial, here is a link men-s-golf-shirt. And some other options below

MapsintheWild Shirts
01 June 2024
11:00
Mappery: Netherlands in a Sushi
sur Planet OSGeo

Reinder sent us a while ago this sushi roll; for a long time, I hesitated to publish it; is this real? Let’s have a conversation on our social. And for now let’s enjoy the sushis.
MapsintheWild Netherlands in a Sushi
2:00
Paul Ramsey: Cancer 10
sur Planet OSGeo

Back to entry 1

So, I got the news from pathology.

There is no cancer left in me, I am officially “cured”.

Since I am still recovering from surgery and relearning what my GI tract is going to do for the future, I don’t feel entirely cured, but I do feel the weight of wondering about the future lifted off of me.

The future will not hold any more major cancer treatments, just annual screening colonoscopies, and getting better post-surgery.

I truly have had the snack-sized experience, not that I would recommend it to anyone. Diagnosed late February, spit off the back of the conveyor belt in late May. Three months in Cancerland, three months too many.

A few days ago NBA great Bill Walton died of colorectal cancer. It’s the second most common cancer in both men and women, and you can avoid a trip to Cancerland through the simple expedient of getting screened. Don’t skip it because you are young, colorectal cancer rates amount people under 50 are going up fast, and nobody knows why (there’s something in the environment, probably).
31 May 2024
11:00
Mappery: Palm Springs airport
sur Planet OSGeo

Painted wall at Palm Springs airport, shared by Foonsayzee
MapsintheWild Palm Springs airport
8:34
gvSIG Team: The Ministry of Transport and Sustainable Mobility awards the first National Prize for Geographic Sciences to the gvSIG association
sur Planet OSGeo

The Ministry of Transport and Sustainable Mobility has awarded the gvSIG association the first National Prize for Geographic Sciences, which honors individuals or entities that have made significant contributions through special actions or professional careers in the field of Geographic Sciences. The award resolution will be published shortly in the Official State Gazette (BOE).

This award, which includes a monetary prize of 20,000 euros, is overseen by the National Geographic Information Center at the initiative of the Superior Geographic Council, the governing body of the National Cartographic System. It aims to highlight the contribution, innovation, and impact of advancements achieved in the production, updating, and everyday use of geographic information, its infrastructures, and the derived products and services.

The gvSIG Association is a Spanish non-profit entity dedicated to research, innovation, and development of free and open-source software technologies related to geographic sciences. Based on values such as collaboration, solidarity, and shared knowledge, it has become an international reference, with its catalog of technological solutions for managing geographic information being used practically worldwide.

The gvSIG Association has made significant contributions to the open-source community and geographic technologies, as well as to the promotion of standards. It has developed a range of widely used solutions that have enabled the establishment of a new successful business model, allowing small and medium-sized Spanish companies to offer services and projects in various countries.

Thus, it has carried out projects in more than thirty countries, promoting the internationalization of Spanish companies. Examples of major projects include the Spatial Data Infrastructure of Uruguay, the SDI of the State of Tocantins in Brazil, the application for identifying risks in the movements of Blue Helmets in Mali, the SDI of Repsol for managing renewable energy projects, the Urban Expansion Atlas developed for UN-Habitat, and the current development of the multipurpose cadastral management system of the Dominican Republic.

The National Prize for Geographic Sciences thus recognizes this association for its individual and collective contributions and innovations in the field of geographic sciences and engineering, geomatics, cartography, and geospatial information, as well as its significance and impact on public administrations and society in general.

The jury that recommended granting the award made its decision unanimously after evaluating the merits of a total of fourteen candidates, which raised the deliberations to a high level of excellence. The jury was chaired by the Undersecretary of Transport and Sustainable Mobility and President of the Superior Geographic Council, with the Director General of the IGN and President of the CNIG acting as vice president, and included members representing the governing bodies of the Superior Geographic Council and professional associations in the field of geographic sciences.

Source
2:00
Camptocamp: SUEZ 3D: First version of a multi-input Cesium viewer
sur Planet OSGeo

Pièce jointe: [télécharger]

SUEZ Smart Solutions is a branch of the SUEZ Group that offers technological solutions for intelligent water and waste management. In January 2024, Suez launched a Proof of Concept (POC), a significant step in its efforts to optimize interventions on its water management network.
30 May 2024
16:26
Free and Open Source GIS Ramblings: ChatGPT Data Analyst vs movement data
sur Planet OSGeo

Today, I took ChatGPT’s Data Analyst for a spin. You’ve probably seen the fancy advertising videos: just drop in a dataset and AI does all the analysis for you?! Let’s see …

Of course, I’m not going to use some lame movie database or flower petals data. Instead, let’s go all in and test with a movement dataset.

You don’t get a second chance to make a first impression, they say. — Well, Data Analyst, you didn’t impress on the first try. How hard can it be to guess the delimiter and act accordingly?

Anyway, let’s help it a little:

That looks much better. It makes an effort to guess what the columns could mean and successfully identifies the spatiotemporal information.

Now for some spatial analysis. On first try, it didn’t want to calculate the length of the trajectories in geographic terms, but we can make it to:

It will also show the code used to get to the results:

And indeed, these are close enough to the results computed using MovingPandas:

“What about plots?” I hear you ask.

For a first try, not bad at all:

Let’s see if we can push it further:

Looks like poor Data Analyst ended up in geospatial library dependency hell

It’s interesting to watch it try find a solution.

Alas, no background map appears:

Not giving up yet :)

Woah, what happened here? It claims it created an interactive map in an HTML file.

And indeed it did:

This has been a very interesting experiment for me with many highs and lows. The whole process is a bit hit and miss. But when it does work, it’s fun.

I wasn’t sure what to expect with regards to Data Analyst’s spatial data processing capabilities. Looks like there are enough examples in its training data to find solutions for the basic trajectory analysis problems I asked it solve today, eventually, at least.

What’s the conclusion? Most AI marketing videos are severely overselling the capabilities of these tools. However, that doesn’t mean that they are completely useless, either. I’m looking forward to seeing the age of smaller open source models specifically trained for geospatial analysis to finally make it unnecessary for humans to memorize data analysis library syntax.
14:25
gvSIG Team: Algo más que software
sur Planet OSGeo

Recientemente, han otorgado a gvSIG el primer Premio Nacional de Ciencias Geográficas. Un premio que se suma a la larga lista de premios recibidos y que no hace otra cosa que certificar que, sin lugar a duda, gvSIG es uno de los referentes internacionales en materia de Geomática y Geolocalización.

gvSIG tuvo su origen en 2004 en la Generalitat Valenciana. Bueno, realmente en 2004 fue cuando se liberó la primera versión del software de escritorio. La idea empezó a gestarse a finales de 2002.

Un proyecto que empezó siendo un software de escritorio y que hoy se ha convertido en una Suite que permite la gestión de integral de la información geográfica. Junto al inicial cliente de escritorio está el cliente web y la solución para dispositivos móviles; pero esto último que estoy diciendo ya os lo sabéis muy bien los asiduos de este blog.

Por mi parte, hace ya varios años que no estoy vinculado profesionalmente ni a gvSIG ni a trabajos en el ámbito de la geolocalización. Sin embargo, no ocurre así con la componente emocional. Es imposible desligarme de un proyecto que contribuí a poner en marcha desde sus orígenes y a los que he dedicado tantos años de mi vida.

Gracias a gvSIG he podido participar en numerosos congresos y sesiones de trabajo por diferentes lugares del mundo y de España. O que decir de las jornadas internacionales de gvSIG que se celebran todos los años en Valencia y de las que ya se han realizado 19 convocatorias.

Toda esta actividad me ha regalado el privilegio de conocer a mucha, pero que a mucha gente de todo el mundo. Una amplia red de personas con las que hemos colaborado sobre todo en base a unos principios compartidos.

Y es ahora, en el séptimo párrafo cuando llego a lo que realmente quería comentar. Si es que menudo rollo tengo . Recuerdo que en sus inicios se hablaba mucho de los valores de gvSIG. Los más antiguos posiblemente recordaran eso de “Más, mejor y de una forma más justa” “Un modelo de producción basado en la colaboración y en la solidaridad”, “conocimiento compartido vs especulación con conocimiento adquirido” etc.

En la evolución del proyecto cada vez se ha sido menos explícito con estos principios y se ha focalizado más en las dimensiones técnica y comercial. Algo por otra parte que considero natural. Pero sí recuerdo que esos valores eran parte fundamental del pegamento que fue constituyendo la red de amigos y colaboradores de gvSIG. Desde aquella gente que está más próxima al núcleo hasta aquellos colaboradores más puntuales.

Y es que no tengo ninguna duda que estos valores forman parte del ADN de la familia gvSIG. Esto, que algunos llaman capital humano, es el principal activo del proyecto. De ahí, mi alegría y trasladar mi felicitación al equipo de gvSIG por este éxito, que es uno más de los muchos recibidos y de los muchos por recibir.
11:00
Mappery: Paris, immersive experience
sur Planet OSGeo

Simon Landauer shared this picture from an immersive experience in Paris
MapsintheWild Paris, immersive experience
9:16
Oslandia: (Fr) Topographie et topologie dans et autour de QGIS
sur Planet OSGeo
Since 2018 and the arrival of Loïc Bartoletti, Oslandia has accelerated its focus on topography and topology within and around QGIS.

Two questions have driven this focus:
- How to draw directly in GIS by integrating drawing tools inspired by the CAD world into QGIS.
- How to integrate plugins for topographic calculations directly into QGIS.
To address this, Oslandia has worked on several fronts: training, developing open-source plugins, and improvements in QGIS.
1- Plugins
The following plugins were developed by Oslandia or partners, with contributions from Oslandia:
- landsurveycodesimport : [https:]]
  A plugin for surveyors working with the point coding methodology in topography.
- QompliGIS : [https:]]
  A tool to ensure your dataset or plan complies with a specification.
- Total Open Station : [https:]]
  An open-source project initiated by Italian and French archaeologists, it is a tool to convert various formats of survey field books.
- Topaze : [https:]]
  A topometric calculation tool developed with Jean-Marie Arsac (Azimut). It was a proof of concept that such calculations can be done within a GIS.
These plugins can be used at different stages of a project. They can be used all together or only those needed and integrated into workflows.
2- Improvements on QGIS
Oslandia also focuses on improving the core of QGIS. Last years, our teams have worked on:

— Integration of shape tools: circles, ellipses, rectangles, regular polygons, etc.
— Improvement of snapping tools.
— Enhancement of Z and M coordinate support.
— Improvement of topological tools (relationships between geometries).

Coming soon is the possibility to use geometry and topology validation and correction plugins directly in QGIS processing tools, developed by Jacky Volpès and Loïc Bartoletti.
3- Training
Oslandia is QUALIOPI certified and offers a training program around QGIS and QField:
- Drawing: Transition from CAD to GIS with QGIS: https://oslandia.com/formations/qgis3-dessiner-avec-qgis/
- Topography with QGIS (LSCI, Topaze, QompliGIS, Total Open Station)
- QField Training
- Deployment of QField Cloud
« In 2023, 89 people were trained by Oslandia, who recommend our training at 90.9%.»
4- And QField ?
Since our partnership with OPENGIS.ch, Oslandia offers QField Cloud server deployment services, training, and QField support.
5- Coming Soon!
Several technical posts are being prepared: how to open CAD files in a GIS? What are the differences between QField and LSCI? You will find them on our website in the coming weeks.

Additionally, we are preparing a white paper on the topic of migrating from CAD to QGIS, which we should release in September.

Stay tuned!
8:55
QGIS Blog: Felt renews their Flagship-level Sustaining Membership
sur Planet OSGeo

We’re delighted to announce Felt’s continued flagship-level sustaining membership of QGIS. Felt’s contributions will allow us to continuously improve QGIS’ functionality and documentation, as well as the QGIS project infrastructure, including our 2024 Grant Programme.

In addition to their membership, Felt is releasing a new version of the “Add To Felt” QGIS plugin. Developed by the talented team at North Road, the plugin makes it easy to upload your data from QGIS to the web, where you can share it with colleagues and clients. The newest release includes raster data support and more robust preservation of styles from QGIS to Felt. This enables seamless integration and a flexible workflow between your desktop and the web.

Don’t miss your chance to meet Felt’s team presenting “Add To Felt” at tomorrow’s QGIS Open Day.
Felt is the first user-friendly, collaboration tool for making and sharing the maps that drive your business. Felt makes it easy to visualize your data and communicate across teams quickly. Learn more at felt.com.
29 May 2024
18:52
Oslandia: (Fr) Plugin QGIS French Locator Filter 1.1.0 : API Photon et personnalisation avancée !
sur Planet OSGeo

Sorry, this entry is only available in French.
11:00
Mappery: London dressing gown
sur Planet OSGeo

Angharad Stone shared her London dressing gown.
MapsintheWild London dressing gown
9:03
gvSIG Team: Premio Nacional de Ciencias Geográficas… agradecimientos
sur Planet OSGeo

Estamos sobrepasados emocionalmente por el número de agradecimientos y apoyos recibidos al darse a conocer que la Asociación gvSIG ha recibido el primer Premio Nacional de Ciencias Geográficas que se otorga en España.

Sin duda este premio está compuesto de muchos pedacitos, de muchas organizaciones y personas que han ido sumando a este proyecto. Este post quiere agradecer a algunas de estas entidades que han dado su apoyo a la candidatura de la Asociación gvSIG en una lista que tiende a infinito. ¡Gracias!

Universidad Autónoma del Estado de México (UAEM), Universidad Nacional de Misiones de Argentina (UNaM), Universidad Católica de la Santísima Concepción de Chile (UCSC), Instituto Tecnológico de Informática (ITI), Gaia-X, Centro de Investigação em Ciências Geo-Espaciais (CICGE) – Faculdade de Ciências da Universidade do Porto, North Carolina State University (NC State University), Universidad Politécnica de Madrid (UPM), Massachusetts Institute of Technology (MIT), Universidad Politécnica de Cartagena (UPCT), University of New Hampshire, Universidad Central “Marta Abreu” de Las Villas – Cuba, Asamblea de Cooperación por la Paz (ACPP), Instituto de Geografía de la Universidad de Buenos Aires, Centro de Investigaciones en Geografía Ambiental de la Universidad Nacional Autonóma de México (UNAM), Colegio Profesional de Delineantes y Diseñadores Te?nicos de Andalucía (CODTA), European Commission open source programme office, Universitat Jaume I de Castellón, Infraestructura de Datos Espaciales del Uruguay, Institute of Applied Physics (IFAC) – National Research Council (CNR) de Italia, Ordnance Survey (United Kingdom National Mapping Agency), Universidad Nacional de General Sarmiento de Argentina, Open Source Geospatial Foundation (OSGeo), Diputación de Albacete, Laberit Sistemas, DISID Corporation, SCOLAB Software Colaborativo, Ayuntamiento de Talavera de la Reina, Universidad Don Bosco de El Salvador, Universitat de València, Green Urban Data, eGeoMapping, Revista Internacional de Geomática y Ciencias de la Tierra MAPPING, Grupo MERCATOR: Tecnologías de la GeoInformación y Agentes inteligentes, Universidad Nacional de Moreno, Instituto Federal do Pará de Brasil, Observatorio de Estudios sobre Convivencia y Seguridad Ciudadana – Gobierno de la provincia de Córdoba de Argentina, Universidad de Santiago de Chile, Universidad de La Laguna, Universidade da Coruña, Universidad de Coimbra – Portugal, Instituto Panamericano de Geografía e Historia (IPGH), Mundialis GmbH & Co, Kalios Geospatial Technologies – India, Ayuntamiento de Castellón, Consorcio Provincial de Bomberos de Valencia (CPBV), Smart to People Solutions, Comunidade Intermunicipal do Alto Tâmega e Barroso, Tresca Ingeniería, Avansig, Intendencia de Montevideo – Uruguay, Ayuntamiento de Valencia, Instituto Nacional de Estadística y Geografía de México (INEGI), Conselleria de Medio Ambiente, Agua, Infraestructuras y Territorio de la Generalitat Valenciana, Washington State Department of Transportation, Pavapark Movilidad, Innovación, Cooperación, Cartografía y Territorio (iCarto), Politecnico Milano, Ayuntamiento de Cartagena, Istanbul University, Ayuntamiento de Albacete, Universitat Politècnica de Catalunya (UPC), Universidad de las Azores, Fundación Forjando Futuros, Universidad de Costa Rica, Ion Creanga State Pedagogical University – República de Moldavia, Sociedad de Ingenieros Geodestas, Geomáticos y Agrimensores de Venezuela (SIGGMA), Asociación Española de Geómetras Expertos (GEX), Ayuntamiento de Úbeda, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), GIZ cono Sur, Universidad de Playa Ancha – Chile, LandNetwork GmbH, Universitat Politècnica de València, Ajuntament d’Onda, ASECRIM, Laboratorio Internacional de Tecnología e Investigación Espacial (ISTAR) – México, Gobierno de la República Dominicana, Universidad Regional Amazónica Ikiam, Comunidad gvSIG Uruguay, Confederación Empresarial de la Comunitat Valenciana (CEV), Ayuntamiento de l’Eliana, IdeasG – Perú, Hímaco (História, Mapas e Computadores) – Universidade Federal de São Paulo (UFSP), Instituto de Geografía UNAM, Instituto Valenciano de Competitividad Empresarial (IVACE), Mancomunitat del Pla de Mallorca, DALEPH, Alkante – Francia, Geospatial Enabling Technologies, Universidad Filadelfia de México, Geomática del Golfo, Université Rennes 2 – Francia, Universitat Oberta de Catalunya, Infraestructura de Datos Espaciales de Santa Fe (IDESF), Asociación para la prevención de incendios forestales (PREVIFOR), Universidad Internacional de Valencia (VIU), Universidad de Castilla – La Mancha (UCLM), Map4Business, GAUSSGEO Geotecnologia e Engenharia LTDA, Intendencia Departamental de Durazno, NISR, VinfoVAL, Geodireito – Planejamento e Regulação Ltda, Governo do Estado Tocantins – Brasil, Ajuntament d’Alzira, Universidad de Belgrano, Universidad de las Fuerzas Armadas ESPE – Ecuador, MundoGEO, Ajuntament de Torrent, Indromeda, Corredor Mediterráneo del Gobierno de España (MITMA-Adif), Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo (CYTED), Instituto Tecnológico de Canarias, Alumni UPV, Universidad de La Rioja, Diputació de Barcelona, Geoscan Consultoría, Universidad Autonóma de Sinaloa,…
28 May 2024
15:18
OPENGIS.ch: The PostgreSQL Connection Service File and Why We Love It
sur Planet OSGeo
The PostgreSQL Connection Service File pg_service.conf is nothing new. It has existed for quite some time and maybe you have already used it sometimes too. But not only the new QGIS plugin PG service parser is a reason to write about our love for this file, as well we generally think it’s time to show you how it can be used for really cool things.
What is the Connection Service File?
The Connection Service File allows you to save connection settings for each so-called “service” locally.

So when you have a database called gis on a local PostgreSQL with port 5432 and username/password is docker/docker you can store this as a service called my-local-gis.
```
# Local GIS Database for Testing purposes
```
[my-local-gis]
host=localhost port=5432 dbname=gis user=docker password=docker

This Connection Service File is called pg_service.conf and is by client applications (such as psql or QGIS) generally found directly in the user directory. In Windows it is then found in the user’s application directory postgresql.pg_service.conf. And in Linux it is by default located directly in the user’s directory ~/.pg_service.conf.

But it doesn’t necessarily have to be there. The file can be anywhere on the system (or on a network drive) as long as you set the environment variable PGSERVICEFILE accordingly:
```
export PGSERVICEFILE=/home/dave/connectionfiles/pg_service.conf 
```
Once you have done this, the client applications will search there first – and find it.

If the above are not set, there is also another environment variable PGSYSCONFDIR which is a folder which is searched for the file pg_service.conf.

Once you have this, the service name can be used in the client application. That means in psql it would look like this:
```
~$ psql service=my-local-gis
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
And in QGIS like this:

If you then add a layer in QGIS, only the name of the service is written in the project file. Neither the connection parameters nor username/password are saved. In addition to the security aspect, this has various advantages, more on this below.

But you don’t have to pass all of these parameters to a service. If you only pass parts of them (e.g. without the database), then you have to pass them when the connection is called:
```
$psql "service=my-local-gis dbname=gis"
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
You can also override parameters. If you have a database gis configured in the service, but you want to connect the database web, you can specify the service and explicit the database:
```
$psql "service=my-local-gis dbname=web"
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

web=#
```
Of course the same applies to QGIS.

And regarding the environment variables mentioned, you can also set a standard service.
```
export PGSERVICE=my-local-gis
```
Particularly pleasant in daily work with always the same database.
```
$ psql
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
And why is it particularly cool?
There are several reasons why such a file is useful:
- Security: You don’t have to save the connection parameters anywhere in the client files (e.g. QGIS project files). Keep in mind that they are still plain text in the service file.
- Decoupling: You can change the connection parameters without having to change the settings in client files (e.g. QGIS project files).
- Multi-User: You can save the file on a network drive. As long as the environment variable of the local systems points to this file, all users can access the database with the same parameters.
- Diversity: You can use the same project file to access different databases with the same structure if only the name of the service remains the same.
For the last reason, here are three use cases.
Support-Case
Someone reports a problem in QGIS on a specific case with their database. Since the problem cannot be reproduced, they send us a DB dump of a schema and a QGIS project file. The layers in the QGIS project file are linked to a service. Now we can restore the dump on our local database and access it with our own, but same named, service. The problem can be reproduced.
INTERLIS
With INTERLIS the structure of a database schema is precisely specified. If e.g. the canton has built the physical database for it and configured a supernice QGIS project, they can provide the project file to a company without also providing the database structure. The company can build the schema based on the INTERLIS model on its own PostgreSQL database and access it using its own service with the same name.
Test/Prod Switching
You can access a test and a production database with the same QGIS project if you have set the environment variable for the connection service file accordingly per QGIS profile.

You create two connection service files.

The one to the test database /home/dave/connectionfiles/test/pg_service.conf:
```
[my-local-gis]
host=localhost
port=54322
dbname=gis-test
```
And the one for the production database /home/dave/connectionfiles/prod/pg_service.conf:
```
[my-local-gis]
host=localhost
port=54322
dbname=gis-productive
```
In QGIS you create two profiles “Test” and “Prod”:

And you set the environment variable for each profile PGSERVICEFILE which should be used (in the menu Settings > Options… and there under System scroll down to Environment

or

If you now use the service my-local-gis in a QGIS layer, it connects the database prod in the “Prod” profile and the database test in the “Test” profile.
The authentication configuration
Let’s have a look at the authentication. If you have the connection service file on a network drive and make it available to several users, you may not want everyone to access it with the same login. Or you generally don’t want any user information in this file. This can be elegantly combined with the authentication configuration in QGIS.

If you want to make a QGIS project file available to multiple users, you create the layers with a service. This service contains all connection parameters except the login information.

This login information is transferred using QGIS authentication.

You also configure this authentication per QGIS profile we mentioned above. This is done via Menu Settings > Options… and there under Authentication:

(or directly where you create the PostgreSQL connection)

If you add such a layer, the service and the ID of the authentication configuration are saved in the QGIS project file. This is in this case mylogin. Of course this name must be communicated to the other users so that they can also set the ID for their login to mylogin.

Of course, you can use multiple authentication configurations per profile.
QGIS Plugin
And yes, there is now a great plugin to configure these services directly in QGIS. This means you no longer have to deal with text-based INI files. It’s called PG service parser:

It finds the connection service file according to the mentioned environment variables PGSERVICEFILE or PGSYSCONFDIR or at its default location.

As well it’s super easy to create new services by duplicating existing ones.
And for the Devs
And what would a blog post be without some geek food? The back end of this plugin is published on PYPI and can be easily installed with pip install pgserviceparser and then be used in Python.

For example to list all the service names.
```
>>> import pgserviceparser
>>> pgserviceparser.service_names()
['my-local-gis', 'another-local-gis', 'opengisch-demo-pg']
```
Optionally you can pass a config file path. Otherwise it gets it by the mentioned mechanism.

Or to receive the configuration from the given service name as a dict.
```
>>> pgserviceparser.service_config('my-local-gis')
{'host': 'localhost', 'port': '54322', 'dbname': 'gis', 'user': 'docker', 'password': 'docker'}
```
There are some more functions. Check them out here on GitHub or in the documentation.
Well then
We hope you share our enthusiasm for this beautiful file – at least after reading this blog post. And if not – feel free to tell us why you don’t in the comments
14:53
GeoSolutions: GeoSolutions presenting at FOSS4G 2024 Europe in Tartu (Estonia)
sur Planet OSGeo

You must be logged into the site to view this content.
14:44
gvSIG Team: Transportes concede el primer Premio Nacional de Ciencias Geográficas a la asociación gvSIG
sur Planet OSGeo

Reproducimos la nota de prensa oficial:

El Ministerio de Transportes y Movilidad Sostenible ha galardonado a la asociación gvSIG con el primer Premio Nacional de Ciencias Geográficas, que recompensa a personas o entidades que hayan contribuido de forma especial o mediante su actuación singular o trayectoria profesional al campo de las Ciencias Geográficas. La resolución de concesión se publicará próximamente en el Boletín Oficial del Estado (BOE).

Este galardón, con una dotación económica de 20.000 euros, es instruido por el Centro Nacional de Información Geográfica a iniciativa del Consejo Superior Geográfico, órgano de dirección del Sistema Cartográfico Nacional, y trata de poner en valor la aportación, innovación e impacto de los avances conseguidos en la producción, actualización y uso cotidiano de la información geográfica, sus infraestructuras y los productos y servicios derivados de ella.

La Asociación gvSIG es una entidad española sin ánimo de lucro, dedicada a la investigación, innovación y desarrollo de tecnologías de software libre y código abierto relacionadas con las ciencias geográficas. Basándose en valores como la colaboración, la solidaridad y el conocimiento compartido, se ha convertido en un referente internacional, siendo su catálogo de soluciones tecnológicas para la gestión de información geográfica utilizado en la práctica totalidad del planeta.

La Asociación gvSIG ha contribuido notablemente a la comunidad de código abierto y a las tecnologías geográficas, así como al impulso de estándares, desarrollando una serie de soluciones de amplio uso que han permitido constituir un nuevo modelo de negocio exitoso que permite a pequeñas y medianas empresas españolas ofrecer servicios y proyectos en diversos países.

De este modo, ha realizado proyectos en más de treinta países, fomentando la internacionalización de empresas españolas. Entre los ejemplos de grandes proyectos se encuentran la Infraestructura de Datos Espaciales de Uruguay, la IDE del Estado de Tocantins en Brasil, la aplicación para identificación de riesgos en los desplazamientos de los Cascos Azules en Malí o la IDE de Repsol para la gestión de proyectos de energías renovables, el Atlas de Expansión Urbana desarrollado para ONU-Habitat o el actual desarrollo del sistema de gestión de Catastro Multipropósito de la República Dominicana.
Aportación a las Ciencias Geográficas
El Premio Nacional de Ciencias Geográficas reconoce así a esta asociación su aportación e innovación, individual y colectiva, en el campo de las ciencias e ingeniería geográficas, la geomática, la cartografía y la información geoespacial, y su trascendencia, e impacto en el conjunto de las administraciones públicas y de la sociedad en general.

El jurado que ha informado el otorgamiento del galardón ha adoptado su decisión por unanimidad, tras valorar los méritos aportados por un total de catorce candidaturas que elevaron las deliberaciones a un nivel de gran excelencia. Ha estado presidido por el subsecretario de Transportes y Movilidad Sostenible y presidente del Consejo Superior Geográfico, actuando como vicepresidente el director general del IGN y presidente del CNIG, y contando como miembros a los representantes de los órganos de gobierno del Consejo Superior Geográfico y de colegios profesionales en el ámbito de las ciencias geográficas.
11:00
Mappery: Maps rock!
sur Planet OSGeo

In case there would be any doubts, Maps Rock! Thanks, Dean, for sharing this badge.
MapsintheWild Maps rock!
6:55
OPENGIS.ch: The PostgreSQL Connection Service File and Why We Love It
sur Planet OSGeo
The PostgreSQL Connection Service File pg_service.conf is nothing new. It has existed for quite some time and maybe you have already used it sometimes too. But not only the new QGIS plugin PG service parser is a reason to write about our love for this file, as well we generally think it’s time to show you how it can be used for really cool things.
What is the Connection Service File?
The Connection Service File allows you to save connection settings for each so-called “service” locally.

So when you have a database called gis on a local PostgreSQL with port 5432 and username/password is docker/docker you can store this as a service called my-local-gis.
```
# Local GIS Database for Testing purposes
[my-local-gis]
host=localhost
port=5432
dbname=gis
user=docker
password=docker
```
This Connection Service File is called pg_service.conf and is by client applications (such as psql or QGIS) generally found directly in the user directory. In Windows it is then found in the user’s application directory postgresql.pg_service.conf. And in Linux it is by default located directly in the user’s directory ~/.pg_service.conf.

But it doesn’t necessarily have to be there. The file can be anywhere on the system (or on a network drive) as long as you set the environment variable PGSERVICEFILE accordingly:
```
export PGSERVICEFILE=/home/dave/connectionfiles/pg_service.conf 
```
Once you have done this, the client applications will search there first – and find it.

If the above are not set, there is also another environment variable PGSYSCONFDIR which is a folder which is searched for the file pg_service.conf.

Once you have this, the service name can be used in the client application. That means in psql it would look like this:
```
~$ psql service=my-local-gis
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
And in QGIS like this:

If you then add a layer in QGIS, only the name of the service is written in the project file. Neither the connection parameters nor username/password are saved. In addition to the security aspect, this has various advantages, more on this below.

But you don’t have to pass all of these parameters to a service. If you only pass parts of them (e.g. without the database), then you have to pass them when the connection is called:
```
$psql "service=my-local-gis dbname=gis"
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
You can also override parameters. If you have a database gis configured in the service, but you want to connect the database web, you can specify the service and explicit the database:
```
$psql "service=my-local-gis dbname=web"
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

web=#
```
Of course the same applies to QGIS.

And regarding the environment variables mentioned, you can also set a standard service.
```
export PGSERVICE=my-local-gis
```
Particularly pleasant in daily work with always the same database.
```
$ psql
psql (14.11 (Ubuntu 14.11-0ubuntu0.22.04.1), server 14.5 (Debian 14.5-1.pgdg110+1))
SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
Type "help" for help.

gis=#
```
And why is it particularly cool?
There are several reasons why such a file is useful:
- Security: You don’t have to save the connection parameters anywhere in the client files (e.g. QGIS project files). Keep in mind that they are still plain text in the service file.
- Decoupling: You can change the connection parameters without having to change the settings in client files (e.g. QGIS project files).
- Multi-User: You can save the file on a network drive. As long as the environment variable of the local systems points to this file, all users can access the database with the same parameters.
- Diversity: You can use the same project file to access different databases with the same structure if only the name of the service remains the same.
For the last reason, here are three use cases.
Support-Case
Someone reports a problem in QGIS on a specific case with their database. Since the problem cannot be reproduced, they send us a DB dump of a schema and a QGIS project file. The layers in the QGIS project file are linked to a service. Now we can restore the dump on our local database and access it with our own, but same named, service. The problem can be reproduced.
INTERLIS
With INTERLIS the structure of a database schema is precisely specified. If e.g. the canton has built the physical database for it and configured a supernice QGIS project, they can provide the project file to a company without also providing the database structure. The company can build the schema based on the INTERLIS model on its own PostgreSQL database and access it using its own service with the same name.
Test/Prod Switching
You can access a test and a production database with the same QGIS project if you have set the environment variable for the connection service file accordingly per QGIS profile.

You create two connection service files.

The one to the test database /home/dave/connectionfiles/test/pg_service.conf:
```
[my-local-gis]
host=localhost
port=54322
dbname=gis-test
```
And the one for the production database /home/dave/connectionfiles/prod/pg_service.conf:
```
[my-local-gis]
host=localhost
port=54322
dbname=gis-productive
```
In QGIS you create two profiles “Test” and “Prod”:

And you set the environment variable for each profile PGSERVICEFILE which should be used (in the menu Settings > Options… and there under System scroll down to Environment

or

If you now use the service my-local-gis in a QGIS layer, it connects the database prod in the “Prod” profile and the database test in the “Test” profile.
The authentication configuration
Let’s have a look at the authentication. If you have the connection service file on a network drive and make it available to several users, you may not want everyone to access it with the same login. Or you generally don’t want any user information in this file. This can be elegantly combined with the authentication configuration in QGIS.

If you want to make a QGIS project file available to multiple users, you create the layers with a service. This service contains all connection parameters except the login information.

This login information is transferred using QGIS authentication.

You also configure this authentication per QGIS profile we mentioned above. This is done via Menu Settings > Options… and there under Authentication:

(or directly where you create the PostgreSQL connection)

If you add such a layer, the service and the ID of the authentication configuration are saved in the QGIS project file. This is in this case mylogin. Of course this name must be communicated to the other users so that they can also set the ID for their login to mylogin.

Of course, you can use multiple authentication configurations per profile.
QGIS Plugin
And yes, there is now a great plugin to configure these services directly in QGIS. This means you no longer have to deal with text-based INI files. It’s called PG service parser:

It finds the connection service file according to the mentioned environment variables PGSERVICEFILE or PGSYSCONFDIR or at its default location.

As well it’s super easy to create new services by duplicating existing ones.
And for the Devs
And what would a blog post be without some geek food? The back end of this plugin is published on PYPI and can be easily installed with pip install pgserviceparser and then be used in Python.

For example to list all the service names.
```
>>> import pgserviceparser
>>> pgserviceparser.service_names()
['my-local-gis', 'another-local-gis', 'opengisch-demo-pg']
```
Optionally you can pass a config file path. Otherwise it gets it by the mentioned mechanism.

Or to receive the configuration from the given service name as a dict.
```
>>> pgserviceparser.service_config('my-local-gis')
{'host': 'localhost', 'port': '54322', 'dbname': 'gis', 'user': 'docker', 'password': 'docker'}
```
There are some more functions. Check them out here on GitHub or in the documentation.
Well then
We hope you share our enthusiasm for this beautiful file – at least after reading this blog post. And if not – feel free to tell us why you don’t in the comments
1:14
Martin Davis: RelateNG Performance
sur Planet OSGeo
A previous post introduced a new algorithm in the JTS Topology Suite called RelateNG. It computes topological relationships between geometries using the Dimensionally-Extended 9 Intersection Model (DE-9IM) model.
This algorithm is fundamental to a large proportion of spatial queries executed in numerous geospatial environments. It would not be surprising to learn that the Relate algorithm is executed billions of times per day across the world's data centres. Given this, performance is a critical metric.
The original JTS RelateOp algorithm was hamstrung by its design, which required computing a full topology graph for each relationship evaluation. The subsequent development of PreparedGeometry provided a significant performance boost for common spatial predicates such as intersects and covers. A useful side-effect is that it is less susceptible to geometric robustness problems. However, it has some drawbacks:
- it only implements a small set of predicates
- the design does not easily extend to more complex predicates
- it does not support GeometryCollection inputs
- it is a completely separate codebase to the general-purpose RelateOp, which increases maintenance effort and increases the risk of bugs and behaviour discrepancies
RelateNG solves all of these problems. In addition, it provides much better performance for non-prepared (stateless) calls. This is important for systems which do not execute spatial queries in a stateful way (due to architectural limitations, or simply lack of attention to performance), and thus cannot use prepared mode.Performance TestsHere are some examples of performance metrics. Note that the data used in the tests is sometimes subsetted to avoid skewing the results with many false results due to non-interaction between the input geometries. This reflects the typical deployment of these predicates in systems which perform a primary extent filter (i.e. via a spatial index) before executing the full predicate.Some of datasets are in geodetic coordinates, which strictly speaking JTS does not handle. But this does not matter for the purposes of performance testing.Point / PolygonThis test queries a MultiPolygon of the outline of Europe (including larger islands) against a synthetic dataset of random points. The test evaluates the intersects predicate, which is really the only one of interest in the Point / Polygon case.
The test data metrics are:
- Query MultiPolygon: 461 polygons, 22,675 vertices
- Target Points: 10,000 points
Timings

Op Intersects Intersects Prep

Relate 61.7 s 21 ms

RelateNG 0.1 s 19 ms

The result clearly shows the enormous improvement in the stateless case, since RelateNG does not build topology on the input polygon. The results are very similar in the prepared case. This is as expected, since both codebases run a simple Point-in-Polygon test using a cached spatial index.Line / LineThis test uses a dataset of major rivers of the continental United States. A single river mainstem is queried against a subset of river branches using the intersects and touches relationships, in stateless and prepared modes.
The test data metrics are:
- Query Line: 6,975 vertices
- Target Lines: 407 lines with 47,328 vertices
Timings (per 100 executions of the operation)

Op Intersects Intersects Prep Touches Touches Prep

Relate 38.2 s 133 ms 36 s N/A

RelateNG 1.18 s 142 ms 2.05 s 2.03 s

This shows the much better performance of RelateNG. RelateNG can evaluate touches in prepared mode, but the performance is similar to stateless mode, since currently indexes are not cached for Line/Line cases. This could be improved in a future release.Polygon / PolygonThis test uses data from two polygonal datasets:
- The Britsh Columbia Bedrock Geology polygonal coverage
- The GADM Level 2 boundaries for Canada
The tests query an administrative unit polygon against a subset of Bedrock polygons which intersect its extent, using intersects and covers in stateless and prepared modes.
The test data metrics are:
- GADM unit: 4,017 vertices
- Bedrock polygons: 4,318 polygon with 337,650 vertices
Timings (per 100 executions of the operation)

Op Intersects Intersects Prep Covers Covers Prep

Relate 61.7 s 534 ms 54.9 s 842 ms

RelateNG 5.8 s 595 ms 6.4 s 943 ms
Polygon / Polygon - Custom Relate PatternThe tests shows the ability of RelateNG to efficiently evaluate arbitrary Relate Intersection Matrix patterns. In this case, the pattern used is F***0****, which corresponds to a relationship which could be called "point-touches": two geometries have boundaries which intersect in only one (or more) points (dimension 0), but whose interiors do not intersect.
This test uses data from The GADM Level 1 boundaries for Canada. This has the advantage that Canada contains a rare example of 4 boundaries meeting at a single point (the jurisdictions of Saskatchewan, Manitoba, Northwest Territories, and Nunavut).
The test data metrics are:
- GADM Canada Level 1: 13 polygons, 4,005,926 vertices
Timings

Op F***0**** F***0**** Prep
Relate 504 s N/A
RelateNG 9.8 s 6.6 s

As expected, for this test RelateNG is far more performant than Relate. This is due to its ability to analyze Intersection Matrix patterns and perform only topology tests that are necessary, as well as not building a full topological structure of the inputs. The test shows the effect of caching spatial indexes in prepared mode, although stateless mode is very efficient as well. Analysis of ResultsClearly RelateNG is far more performant than Relate when running in non-prepared mode. The PreparedGeometry implementation is slightly faster (which confirms the efficiency of its original design), but not by very much. The difference may be a consequence of the general-purpose and thus more complex code and data structures in RelateNG. Closing this gap may be an area for future research.One thing is certain: the RelateNG algorithm design provides much more scope for adding case-specific optimizations. If you have a significant use case which could be improved by further targeted optimization improvements, let me know in the comments!It will be interesting to re-evaluate these tests once RelateNG is ported to GEOS. Sometimes (but not always) a C++ implementation can be significantly faster than Java, due to more opportunities for code and compiler optimization.
27 May 2024
21:12
GRASS GIS: Google Summer of Code 2024
sur Planet OSGeo

Three GSoC students will be contributing to GRASS GIS this summer! We are thrilled to announce that the GRASS GIS project has three Google Summer of Code (GSoC) students this year! They will be working together with their mentors on enhancing different GRASS tools and capabilities. Let’s go briefly through some details on each project and their forseen broader impacts. Improve GRASS user experience in Jupyter Notebook Student: Riya Saxena Mentors: Anna Petrasova, Corey White The python package grass.
18:05
gvSIG Team: aanguix
sur Planet OSGeo

Nueva edición Curso – Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
14:00
Fernando Quadro: O que é o DATUM?
sur Planet OSGeo

O DATUM é um termo utilizado na área da geodésica que se refere a um sistema de referência utilizado para determinar as coordenadas geográficas na superfície da Terra. Ele é fundamental para a realização de medições precisas e confiáveis em projetos de cartografia e geoprocessamento.

É baseado em alguns princípios fundamentais:

Considera a Terra como um elipsoide, ou seja, um corpo sólido de formato semelhante a uma esfera achatada nos polos e alongada no equador.
Leva em conta a gravidade terrestre, rotação da Terra e a distribuição de massa em seu interior.

A diferença entre um datum e outro é baseada em modelos matemáticos distintos da forma e dimensões da Terra e do fator adicional da projeção, seja por razões históricas, seja para garantir uma representação gráfica mais proporcionada; tomando como exemplo o Japão, onde usam um ponto da projeção que não está no centro da Terra, mas em algum lugar sob o Japão, isto permite uma menor distorção numa projeção de uma esfera sobre plano quando o Japão é representado, mas no entanto o uso dessa projeção para os Estados Unidos ou para o Brasil resultaria em um mapa muito estranho.

O uso do DATUM possibilita diversos benefícios, veja:

Precisão nas medições
Padronização global
Compatibilidade com Sistemas de Posicionamento Global (GPS)
Melhoria na precisão dos mapas

O DATUM apresenta diversos benefícios, no entanto, seu uso também apresenta desafios, como a necessidade de atualização constante e a complexidade dos cálculos.

O futuro do DATUM está ligado ao avanço da tecnologia, o que permitirá realizar medições ainda mais precisas e eficientes.

Gostou desse post? Conte nos comentários

Fonte: webgis.tech
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LinkedIn: [https:]]
11:00
Mappery: Globes at the Whitechapel Gallery
sur Planet OSGeo

We popped into the Whitechapel Gallery yesterday and saw some uninspiring installations and performance art but as you might expect I spotted a few globes hidden in the displays.

And this nice sign in the reception area

MapsintheWild Globes at the Whitechapel Gallery
26 May 2024
11:00
Mappery: President Obama by C215
sur Planet OSGeo

We finish this week’s series with US President Obama. I hope you enjoyed the series. C215 has been prolific on maps and old map boards, so stay tuned; there is more to come.

C215, Christian Guemy’s website c215.fr
MapsintheWild President Obama by C215
25 May 2024
11:00
Mappery: Ben-Gurion by C215
sur Planet OSGeo

David Ben-Gurion, Israel’s first prime minister, stands resolute on a 1950s Vidal Lablache map depicting the ancient Near East and the biblical history of the Jewish people.

C215, Christian Guemy’s website c215.fr
MapsintheWild Ben-Gurion by C215
24 May 2024
21:10
gvSIG Batoví: Nueva edición Curso – Concurso Geoalfabetización mediante la utilización de Tecnologías de la Información Geográfica
sur Planet OSGeo

¡Vamos por el séptimo año!

El Curso – Concurso Geoalfabetización mediante la utilización de TIGs se desarrollará entre el 3 de junio y el 7 de noviembre y es organizado por la Dirección Nacional de Topografía (MTOP), la Inspección Nacional de Geografía y Geología (ANEP-DGES), Ceibal y la Universidad Politécnica de Madrid (España). Este año la iniciativa cuenta con la colaboración de la Dirección General de Educación Técnico-Profesional (UTU), la Asociación Nacional de Profesores de Geografía (ANPG) y la Universidad Central Marta Abreu de Las Villas (Cuba).

La iniciativa consta de 2 partes: primero: un curso denominado Tecnologías de la Información Geográfica y gvSIG Batoví dirigido a docentes de Enseñanza Media y Técnico-Profesional de Geografía y áreas relacionadas con el conocimiento geográfico, ambiental y social. La capacitación se desarrollará del 3 al 28 de junio en modalidad b-learning (plataforma + taller por videoconferencia).

Se entregará una certificación avalada por las instituciones organizadoras del curso, en la cual se reconocerá la participación satisfactoria de los cursillistas en la capacitación brindada (30 horas) y en el concurso posterior.

Para acceder a la certificación los inscriptos deberán completar el recorrido de los temas en la plataforma, asistir a los 3 días de taller, entregar las actividades propuestas y deberán también haber participado del concurso posterior.

Período de inscripción: del 27 de mayo al 2 de junio.

Formulario de inscripción

La segunda parte consiste en un concurso denominado Proyectos con Estudiantes y gvSIG Batoví. Los equipos de trabajo estarán integrados por estudiantes (de 3 a 5 alumnos) y al menos un docente de referencia (máx. 3), el cual debió participar en alguna edición del curso. Cada equipo deberá presentar un proyecto de trabajo que identifique y aborde una problemática de interés local, que posea una dimensión territorial y se enmarque en alguno de los Objetivos de Desarrollo Sostenible (ODS) 2030 de la Organización de las Naciones Unidas. Cada proyecto contará con un tutor que le proporcionará asesoría técnica y pedagógica.

En cuanto a la premiación, se seleccionarán 3 proyectos finalistas y de ellos el ganador del concurso. Los ganadores recibirán los premios propuestos por la organización y el resto de los equipos un certificado por su participación.

Dudas o consultas: batovi@ceibal.edu.uy
convocatoria-curso-tig-y-barovi-2024 Descarga
11:00
Mappery: Ho Chi Minh by C215
sur Planet OSGeo

Revolutionary leader Ho Chi Minh gazes out from a vintage map of Vietnam. A symbol of resilience and national pride

C215, Christian Guemy’s website c215.fr
MapsintheWild Ho Chi Minh by C215
23 May 2024
20:24
GeoTools Team: GeoTools 31.1 Released
sur Planet OSGeo

 GeoTools 31.1 released The GeoTools team is pleased to announce the release of the latest stable version of GeoTools 31.1: geotools-31.1-bin.zip geotools-31.1-doc.zip geotools-31.1-userguide.zip geotools-31.1-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.25.1 and GeoWebCache 1.25.1.  Thanks to Jody Garnett
14:00
Fernando Quadro: O papel do Machine Learning no GIS
sur Planet OSGeo

No domínio dos Sistemas de Informação Geográfica (GIS), o Machine Learning não é apenas uma palavra da moda, é uma força transformadora. É a chave para desbloquear todo o potencial dos dados geoespaciais, transformando conjuntos de dados vastos e complexos em insights acionáveis. Vamos nos aprofundar nos tipos de algoritmos de machine learning e suas aplicações em contextos geoespaciais.

Aprendizagem supervisionada: A aprendizagem supervisionada é semelhante a ter um guia experiente no deserto de dados. Com conjuntos de dados rotulados, os algoritmos aprendem a prever resultados com base em exemplos anteriores. É perfeito para:
Mapeamento de Habitat de Espécies: Prever onde certas espécies podem prosperar.
Categorização da Cobertura do Solo: Classificação de áreas com base na vegetação, desenvolvimento urbano ou corpos d’água.
Previsão Climática: Estimativa de padrões futuros de temperatura e precipitação.

Aprendizagem não supervisionada: Algoritmos de aprendizagem não supervisionados são os exploradores intrépidos, encontrando estruturas ocultas em territórios desconhecidos de dados não rotulados. Eles se destacam em:
Segmentação de imagens: Divisão de milhões de imagens de satélite em clusters significativos.
Detecção de anomalias: Identificação de padrões incomuns que possam indicar mudanças ambientais ou desenvolvimento urbano.

Aprendizado profundo: O aprendizado profundo se aprofunda nos dados, usando redes neurais em camadas para processar informações de uma forma que imita o cérebro humano. Sua habilidade é evidente em:
Classificação de Imagens: Distinguir entre diferentes usos do solo em imagens de satélite.
Detecção de Objetos: Identificação e localização de objetos como veículos ou edifícios em fotos aéreas.
Análise de Séries Temporais: Monitoramento de mudanças ao longo do tempo, como desmatamento ou expansão urbana.

Algoritmos Comuns: Os algoritmos mais comumente usados em análise geoespacial incluem:
Random Forest: um método de conjunto robusto, ótimo para tarefas de classificação e regressão.
Regressão Linear: Ideal para prever variáveis contínuas, como tendências de temperatura.
Regressão Logística e Árvores de Decisão: Útil para classificação binária, como áreas propensas a inundações.
K-Nearest Neighbors: Um método simples, mas eficaz para classificação com base na proximidade.
Naïve Bayes: Uma abordagem probabilística frequentemente usada para classificação de texto e filtragem de spam.
K-Means Clustering: Um algoritmo não supervisionado que agrupa dados em k clusters distintos.

À medida que continuamos a aproveitar esses algoritmos, não estamos apenas mapeando o mundo, estamos moldando-o. O futuro da análise geoespacial está aqui e é inteligente, dinâmico e incrivelmente emocionante.

Gostou desse post? Conte nos comentários

Fonte: webgis.tech
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11:00
Mappery: What matters is Love by C215
sur Planet OSGeo

A masked Parisian embrace painted over a map of the City of Lights. C215 reminds us: “l’important c’est d’aimer” (what matters is love).

C215, Christian Guemy’s website c215.fr
MapsintheWild What matters is Love by C215
8:01
GeoSolutions: Building and Consuming Urban Digital Twins with Open-Source Tools
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2:51
GeoTools Team: GeoTools 30.3 released
sur Planet OSGeo

  The GeoTools team is pleased to the release of the latest stable version of GeoTools 30.3:geotools-30.3-bin.zip geotools-30.3-doc.zip geotools-30.3-userguide.zip geotools-30.3-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.3. The release was made by Andrea Aime (Geosolutions).
2:00
GeoServer Team: GeoServer 2.25.1 Release
sur Planet OSGeo
GeoServer 2.25.1 release is now available with downloads (bin, war, windows), along with docs and extensions.

This is a stable release of GeoServer recommended for production use. GeoServer 2.25.1 is made in conjunction with GeoTools 31.1, and GeoWebCache 1.25.1.

Thanks to Jody Garnett (GeoCat) for making this release.
Security Considerations
This release addresses security vulnerabilities and is considered an essential upgrade for production systems.

See project security policy for more information on how security vulnerabilities are managed.
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
Release notes
New Feature:
- GEOS-11267 CSW ISO extension multiple mappings should also have multiple queryable mappings
- GEOS-11376 Graduate Raster Attribute Table to extension
Improvement:
- GEOS-11306 Java 17 does not support GetFeature lazy JDBC count(*)
- GEOS-11311 Show a full stack trace in the JVM stack dump panel
- GEOS-11342 STAC should exclude items when the collection in path is wrong
- GEOS-11359 Update MapML viewer to release 0.13.2
- GEOS-11369 Additional authentication options for cascaded WMS WMTS data stores
- GEOS-11377 RAT module: allow to reload/recompute the RAT
- GEOS-11400 About Page Layout and display of build information
- GEOS-11401 Introduce environmental variables for Module Status page
Bug:
- GEOS-11202 CAS extension doesn’t use global “proxy base URL” setting for service ticket
- GEOS-11236 WFS 2.0.0/GetFeature - Shapefile - “We have had issues trying to flip axis”
- GEOS-11331 OAuth2 can throw a “ java.lang.RuntimeException: Never should reach this point”
- GEOS-11332 Renaming style with uppercase/downcase empty the sld file
- GEOS-11382 The interceptor “CiteComplianceHack” never gets invoked by the Dispatcher Servlet
- GEOS-11385 Demo Requests functionality does not honour ENV variable PROXY_BASE_URL
- GEOS-11392 ConcurrentModificationException while using proxy-base-ext
Task:
- 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-11388 Update ImageIO-EXT to 1.4.10
- 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
For the complete list see 2.25.1 release notes.
Community Updates
Community module development:
- GEOS-11040 Could not get a ServiceInfo for service Features thus could not check if the service is enabled
- GEOS-11330 OAuth2 kid verification should be optional
- GEOS-11339 Introducing the Features Autopopulate Community Plugin
- GEOS-11340 WFS Freemarker HTML Outputformat
- GEOS-11345 STAC Conformance URIs need to be updated to v1.0.0
- GEOS-11348 JMS cluster does not allow to publish style via REST “2 step” approach
- GEOS-11358 Feature-Autopopulate Update operation does not apply the Update Element filter
- GEOS-11381 Error in OIDC plugin in combination with RoleService
- GEOS-11394 OGC APIs cannot handle time extent when the source data type is java.sql.Date
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 2.25 Series
Additional information on GeoServer 2.25 series:
Release notes: ( 2.25.1 | 2.25.0 | 2.25-RC )
2:00
GeoServer Team: GeoServer 2.25.1 Release
sur Planet OSGeo
GeoServer 2.25.1 release is now available with downloads (bin, war, windows), along with docs and extensions.

This is a stable release of GeoServer recommended for production use. GeoServer 2.25.1 is made in conjunction with GeoTools 31.1, and GeoWebCache 1.25.1.

Thanks to Jody Garnett (GeoCat) for making this release.
Security Considerations
This release addresses security vulnerabilities and is considered an essential upgrade for production systems.

See project security policy for more information on how security vulnerabilities are managed.
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
Release notes
New Feature:
- GEOS-11267 CSW ISO extension multiple mappings should also have multiple queryable mappings
- GEOS-11376 Graduate Raster Attribute Table to extension
Improvement:
- GEOS-11306 Java 17 does not support GetFeature lazy JDBC count(*)
- GEOS-11311 Show a full stack trace in the JVM stack dump panel
- GEOS-11342 STAC should exclude items when the collection in path is wrong
- GEOS-11359 Update MapML viewer to release 0.13.2
- GEOS-11369 Additional authentication options for cascaded WMS WMTS data stores
- GEOS-11377 RAT module: allow to reload/recompute the RAT
- GEOS-11400 About Page Layout and display of build information
- GEOS-11401 Introduce environmental variables for Module Status page
Bug:
- GEOS-11202 CAS extension doesn’t use global “proxy base URL” setting for service ticket
- GEOS-11236 WFS 2.0.0/GetFeature - Shapefile - “We have had issues trying to flip axis”
- GEOS-11331 OAuth2 can throw a “ java.lang.RuntimeException: Never should reach this point”
- GEOS-11332 Renaming style with uppercase/downcase empty the sld file
- GEOS-11382 The interceptor “CiteComplianceHack” never gets invoked by the Dispatcher Servlet
- GEOS-11385 Demo Requests functionality does not honour ENV variable PROXY_BASE_URL
- GEOS-11392 ConcurrentModificationException while using proxy-base-ext
Task:
- 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-11388 Update ImageIO-EXT to 1.4.10
- 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
For the complete list see 2.25.1 release notes.
Community Updates
Community module development:
- GEOS-11040 Could not get a ServiceInfo for service Features thus could not check if the service is enabled
- GEOS-11330 OAuth2 kid verification should be optional
- GEOS-11339 Introducing the Features Autopopulate Community Plugin
- GEOS-11340 WFS Freemarker HTML Outputformat
- GEOS-11345 STAC Conformance URIs need to be updated to v1.0.0
- GEOS-11348 JMS cluster does not allow to publish style via REST “2 step” approach
- GEOS-11358 Feature-Autopopulate Update operation does not apply the Update Element filter
- GEOS-11381 Error in OIDC plugin in combination with RoleService
- GEOS-11394 OGC APIs cannot handle time extent when the source data type is java.sql.Date
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 2.25 Series
Additional information on GeoServer 2.25 series:
Release notes: ( 2.25.1 | 2.25.0 | 2.25-RC )
2:00
Camptocamp: Camptocamp Sponsors Two PostgreSQL Events in June: pgday.fr and pgday.ch
sur Planet OSGeo

Pièce jointe: [télécharger]

As a company committed to supporting our clients in deploying, optimizing, monitoring, securing, and utilizing PostgreSQL, we have decided to extend our support to the PostgreSQL community by sponsoring these conferences at the "supporters" level.
2:00
Camptocamp: Camptocamp Sponsors Two PostgreSQL Events in June: pgday.fr and pgday.ch
sur Planet OSGeo

Pièce jointe: [télécharger]

As a company committed to supporting our clients in deploying, optimizing, monitoring, securing, and utilizing PostgreSQL, we have decided to extend our support to the PostgreSQL community by sponsoring these conferences at the "supporters" level.
2:00
Camptocamp: Camptocamp Sponsors Two PostgreSQL Events in June: pgday.fr and pgday.ch
sur Planet OSGeo

Pièce jointe: [télécharger]

As a company committed to supporting our clients in deploying, optimizing, monitoring, securing, and utilizing PostgreSQL, we have decided to extend our support to the PostgreSQL community by sponsoring these conferences at the "supporters" level.
2:00
Camptocamp: Camptocamp Sponsors Two PostgreSQL Events in June: pgday.fr and pgday.ch
sur Planet OSGeo

Pièce jointe: [télécharger]

As a company committed to supporting our clients in deploying, optimizing, monitoring, securing, and utilizing PostgreSQL, we have decided to extend our support to the PostgreSQL community by sponsoring these conferences at the "supporters" level.
22 May 2024
14:00
Fernando Quadro: Geoprocessamento na Saúde
sur Planet OSGeo

A localização de eventos de saúde no espaço geográfico com base em mapas não é recente. Em 1854, o médico John Snow investigou no bairro de Soho, em Londres, um surto de cólera. Ele mapeou com base nos croquis dos quarteirões, as casas atingidas e relacionou com as pessoas que beberam água de uma fonte na Broad Street.

Logo, percebeu que aquele surto em particular ocorrera em torno de uma bomba de água compartilhada que a maioria dos habitantes usava para coletar água para beber e lavar. Essa foi a primeira vez que um mapa foi usado para melhor compreensão de uma doença e estabelecer medidas de controle.

Várias são as possibilidades do uso do geoprocessamento na saúde:

Serviços de saúde,
Saúde ambiental,
Epidemiologia de doenças crônicas não transmissíveis,
Epidemiologia de doenças transmissíveis,
Identificação de áreas de risco,
Entre outros…

A melhora e o aumento na disponibilidade de bases de dados e dos SIG trouxeram ganhos importantíssimos para aplicação do geoprocessamento na área da saúde. Podemos citar os Sistemas de Informação em Saúde que abarcam dados sobre nascimentos, óbitos e doenças de notificação compulsória, entre eles:

Sistema de Informação de Mortalidade (SIM),
Sistema de Nascidos Vivos (SINASC) ,
Sistema de Informação de Agravos de Notificação (SINAN).

As possibilidades de técnicas disponíveis em SIGs robustos, permitem análises que são úteis na identificação de áreas de risco para determinados agravos, bem como na análise destes que busquem relação com variáveis ambientais extraídas de informações sobre uso e ocupação do solo ou de variáveis climáticas, extraídas de produtos de sensoriamento remoto e de métodos de reanálise para o monitoramento climático; ou na combinação de variáveis, ambientais, climáticas socioeconômicas a partir do uso de modelos estatísticos espaciais que permite tratar a heterogeneidade espacial e espaço temporal, levando em conta tanto a vizinhança (a dependência espacial) como a existência de estruturas hierárquicas de dados em questão.

Em resumo, a aplicação do geoprocessamento e das técnicas de análise espacial associadas ao acesso livre e gratuito de SIGs e de inúmeras fontes de dados, vem abrindo oportunidades de uso na área de saúde pública, não somente para pesquisadores em seus estudos, mas especialmente para os profissionais que atuam na área da saúde.

Gostou desse post? Conte nos comentários

Fonte: webgis.tech
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11:00
Mappery: Antoine de Saint Exupery by C215
sur Planet OSGeo

French author Antoine de Saint-Exupéry, known for “The Little Prince,” soars over his homeland on a vintage map of France. Where will imagination take you today?

C215, Christian Guemy Website : c215.fr
MapsintheWild Antoine de Saint Exupery by C215
2:00
Camptocamp: NexSIS - the Go Live!
sur Planet OSGeo

Pièce jointe: [télécharger]

At the start of the NexSIS project in 2019, the Digital Agency for Civil Security (ANSC) chose to entrust the development of the cartographic features of its applications to the teams at Camptocamp.
2:00
Camptocamp: NexSIS - the Go Live!
sur Planet OSGeo

Pièce jointe: [télécharger]

At the start of the NexSIS project in 2019, the Digital Agency for Civil Security (ANSC) chose to entrust the development of the cartographic features of its applications to the teams at Camptocamp.
21 May 2024
14:00
Fernando Quadro: Curso Combo PostgreSQL, PostGIS e GeoServer
sur Planet OSGeo

Neste mês de maio a Geocursos está com inscrições abertas para seu Curso Combo com PostgreSQL, PostGIS e GeoServer, uma formação completa, saindo do zero em banco de dados (PostgreSQL/PostGIS), passando pela linguagem SQL, análises espaciais no PostGIS até a publicação completa de seus mapas na internet com o GeoServer.

O mercado de trabalho está cada vez mais competitivo, e o conhecimento em banco de dados (PostgreSQL/PostGIS) e servidor de mapas (GeoServer) tem sido cada vez mais um pré-requisito para qualquer profissional na área do Geoprocessamento.

Pensando nisso, a Geocursos está disponibilizando um cupom de R$ 270 reais de desconto pra você, basta ir no nosso WhatsApp e dizer “QUERO DESCONTO“.

Você ficou interessado?

Acesse: [https:]]
WhatsApp: [https:]]
11:00
Mappery: Africa Lion by C215
sur Planet OSGeo

For our second episode, I chose this powerful image of a lion standing proudly over a map of Africa. It evokes the continent’s rich wildlife and the lion’s reign as the apex predator in the savannas and grasslands.

C215, Christian Guemy’s English website c215.fr
MapsintheWild Africa Lion by C215
20 May 2024
17:07
Free and Open Source GIS Ramblings: New Trajectools 2.1 and MovingPandas 0.18 releases
sur Planet OSGeo
Today marks the 2.1 release of Trajectools for QGIS. This release adds multiple new algorithms and improvements. Since some improvements involve upstream MovingPandas functionality, I recommend to also update MovingPandas while you’re at it.

If you have installed QGIS and MovingPandas via conda / mamba, you can simply:
```
conda activate qgis
mamba install movingpandas=0.18
```
Afterwards, you can check that the library was correctly installed using:
```
import movingpandas as mpd
mpd.show_versions()
```
Trajectools 2.1
The new Trajectools algorithms are:
- Trajectory overlay — Intersect trajectories with polygon layer
- Privacy — Home work attack (requires scikit-mobility)
  - This algorithm determines how easy it is to identify an individual in a dataset. In a home and work attack the adversary knows the coordinates of the two locations most frequently visited by an individual.
- GTFS — Extract segments (requires gtfs_functions)
- GTFS — Extract shapes (requires gtfs_functions)
  - These algorithms extract public transport routes (GTFS shapes) and route segments between stops (GTFS segments) from GTFS ZIP files using gtfs_functions.Feed.shapes and .segments, respectively.
Furthermore, we have fixed issue with previously ignored minimum trajectory length settings.

Scikit-mobility and gtfs_functions are optional dependencies. You do not need to install them, if you do not want to use the corresponding algorithms. In any case, they can be installed using mamba and pip:
```
mamba install scikit-mobility
pip install gtfs_functions
```
MovingPandas 0.18
This release adds multiple new features, including
- Method chaining support for add_speed(), add_direction(), and other functions
- New TrajectoryCollection.get_trajectories(obj_id) function
- New trajectory splitter based on heading angle
- New TrajectoryCollection.intersection(feature) function
- New plotting function hvplot_pts()
- Faster TrajectoryCollection operations through multi-threading
- Added moving object weights support to trajectory aggregator
For the full change log, check out the release page.
11:00
Mappery: Aime Cesaire by c215
sur Planet OSGeo
This week, we start a series with the artist Christian Guemy. C215, Christian Guemy’s artistic pseudonym, is a French street artist renowned for his unique blend of historical figures and vintage map boards. By transforming these weathered maps into canvases, C215 breathes new life into forgotten objects while leaving a powerful commentary on the passage of time and the enduring legacy of influential figures.

A Fusion of Past and Present

C215’s signature style involves meticulously stencilling portraits of iconic individuals—activists, scientists, artists, and more—directly onto the aged surfaces of map boards. These maps, often discarded or forgotten, become powerful symbols of the past. By juxtaposing these historical figures with the faded geography, C215 compels viewers to contemplate the connection between the past, present, and future.

A Street Art Pioneer

C215 is considered a pioneer of the French street art movement. He emerged in the early 2000s, bringing his art form to the streets of Paris and beyond. His work can be found adorning walls, buildings, and even abandoned spaces throughout Europe and across the globe.

More Than Just Portraits

While portraits are a defining element of C215’s art, his work delves into social commentary. He has used his stencils to address issues of war, poverty, and environmental degradation. The weathered maps themselves become a metaphor for the fragility of our world and the need to learn from the past.

C215’s art transcends the boundaries of traditional street art. By using vintage map boards as his canvas, he creates a powerful dialogue between past and present, reminding us of the enduring impact of history’s figures and the importance of learning from their legacies.

For further exploration, you can search online for:
- Images of C215’s street art
- Interviews with C215
C215 website is c215.fr (link to the English version).
MapsintheWild Aime Cesaire by c215
19 May 2024
11:00
Mappery: Planet Gummi
sur Planet OSGeo

Marc-Tobias said “Seen in Tokyo, fineprint says produced in Spain”
MapsintheWild Planet Gummi
18 May 2024
11:00
Mappery: Enter through the Mappy Doors
sur Planet OSGeo

Reinder sent this pic of the entrance to the Dutch National Archive, he said “It’s hard to see – but these glass doors in the Dutch National Archives in The Hague do contain a cartographic image of the Netherlands”.

Instead of through the looking glass, we have through the cartograph ?
MapsintheWild Enter through the Mappy Doors
17 May 2024
12:00
Mappery: OS Picnic Blanket
sur Planet OSGeo

When your Canadian friends have just arrived in London and have settled in. I must admit I am still a bit jealous of their blanket.
MapsintheWild OS Picnic Blanket
16 May 2024
23:41
Martin Davis: JTS Topological Relationships - the Next Generation
sur Planet OSGeo
The most fundamental and widely-used operations in the JTS Topology Suite are the ones that evaluate topological relationships between geometries. JTS implements the Dimensionally-Extended 9 Intersection Model (DE-9IM), as defined in the OGC Simple Features specification, in the RelateOp API.
DE-9IM matrix for overlapping polygons
The RelateOp algorithm was the very first one implemented during the initial JTS development, over 20 years ago. At that time it was an appealing idea to implement a general-purpose topology framework (the GeometryGraph package), and use it to support topological predicates, overlay, and buffering. However, some disadvantages of this approach have become evident over time:
- the need to create a topological graph structure limits the ability to improve performance. This has led to the implementation of PreparedGeometry - but that adds further complexity to the codebase, and supports only a limited set of predicates.
- a large number of code dependencies make it hard to fix problems and improve semantics
- constructing a full topology graph increases exposure to geometric robustness errors
- GeometryCollections are not supported (initially because the OGC did not define the semantics for this, and now because adding this capability is difficult)
There's an extensive list of issues relating (ha!) to RelateOp here.
The importance of this functionality is especially significant since the same algorithm is implemented in GEOS. That codebase is used to evaluate spatial queries in popular spatial APIs such as Shapely and R-sf, and numerous systems such as PostGIS, DuckDB, SpatialLite, QGIS, and GDAL (to name just a few). It would not be surprising to learn that the RelateOp algorithm is executed billions of times per day across the world's CPUs.
During the subsequent years of working on JTS I realized that there was a better way to evaluate topological relationships. It would required a ground-up rewrite, but would avoid the shortcomings of RelateOp and provide better performance and a more tractable codebase. Thanks to my employer Crunchy Data I have finally been able to make this idea a reality. Soon JTS will provide a new algorithm for topological relationships called RelateNG.
Key Features of RelateNG
The RelateNG algorithm incorporates a broad spectrum of improvements over RelateOp in the areas of functionality, robustness, and performance. It provides the following features:
- Efficient short-circuited evaluation of topological predicates (including matching custom DE-9IM matrix patterns)
- Optimized repeated evaluation of predicates against a single geometry via cached spatial indexes (AKA "prepared mode")
- Robust computation (only point-local geometry topology is computed, so invalid topology does not cause failures)
- GeometryCollection inputs containing mixed types and overlapping polygons are supported, using union semantics.
- Zero-length LineStrings are treated as being topologically identical to Points.
- Support for BoundaryNodeRules.
Using the RelateNG API
The main entry point is the RelateNG class. It supports evaluating topological relationships in three different ways:
- Evaluating a standard OGC named boolean binary predicate, specified via a TopologyPredicate instance. Standard predicates are obtained from the RelatePredicate factory functions intersects, contains, overlaps, etc.
- Testing an arbitrary DE-9IM relationship by matching an intersection matrix pattern (e.g. "T**FF*FF*", which is the pattern for a relation called Contains Properly).
- Computing the full value of a DE-9IM IntersectionMatrix.
RelateNG operations can be executed in two modes: stateless and prepared. Stateless mode is provided by the relate static functions, which accept two input geometries and evaluate a predicate. For prepared mode, a single geometry is provided to the prepare functions to create a RelateNG instance. Then the evaluate instance methods can be used to evaluate spatial predicates on a sequence of geometries. The instance creates spatial indexes (lazily) to make topology evaluation much more efficient. Note that even stateless mode can be significantly faster than the current implementation, due to short-circuiting and other internal heuristics.
Here is an example of matching an intersection matrix pattern, in stateless mode:
```
boolean isMatched = RelateNG.relate(geomA, geomB, "T**FF*FF*");
```
Here is an example of setting up a geometry in prepared mode, and evaluating a named predicate on it:
```
RelateNG rng = RelateNG.prepare(geomA);
for (Geometry geomB : geomSet) {
    boolean predValue = rng.evaluate(geomB, RelatePredicate.intersects());
}
```
Rolling It Out
It's exciting to launch a major improvement on such a core piece of spatial functionality. The Crunchy spatial team will get busy on porting this algorithm to GEOS. From there it should get extensive usage in downstream projects. We're looking forward to hearing feedback from our own PostGIS clients as well as other users. We're always happy to be able to reduce query times and equally importantly, carbon footprints.
In further blog posts I'll describe the RelateNG algorithm design and provide some examples of performance metrics.
Future Ideas
The RelateNG implementation provides an excellent foundation to build out some interesting extensions to the fundamental DE-9IM concept.
Extended Patterns
The current DE-9IM pattern language is quite limited. In fact, it's not even powerful enough to express the standard named predicates. It could be improved by adding features like:
- disjunctive combinations of patterns. For example, touches is defined by "FT******* | F**T***** | F***T****"
- dimension guards to specify which dimensions a pattern applies to. For example, overlaps is defined by "[0,2] T*T***T** | [1] 1*T***T**"
- while we're at it, might as well support dotted notation and spaces for readability; e.g. "FT*.***.***"
Approximate Spatial RelationshipsA requirement that comes up occasionally is to compute approximate spatial relationships between imprecise data using a distance tolerance. This is useful in datasets where features don't match exactly due to data inaccuracy. Because RelateNG creates topology only in the neighbourhood of specified points, it should be possible to specify the neighbourhood size using a distance tolerance. Essentially, vertices and line intersections will "snap together" to determine the effective topology. Currently within-distance queries are often used to compute "approximate intersects". Adding a distance tolerance capability to RelateNG will allow other kinds of approximate relationships to be evaluated as well.
Further Performance Optimizations?
A challenge with implementing algorithms over a wide variety of spatial types and use cases is how to provide general-purpose code which matches (or exceeds) the efficiency of more targeted implementations. RelateNG analyzes the input geometries and the predicate under evaluation to tune strategies to reduce the amount of work needed to evaluate the DE-9IM. It may be that profiling specific use cases reveals further hotspots in the code which can be improved by additional optimizations.
Curve Support
GEOS has recently added support for representing geometries with curves. The RelateNG design is modular enough that it should be possible to extend it to allow evaluating relationships for geometries with curves.
14:00
Fernando Quadro: O Poder da Consulta Geoespacial
sur Planet OSGeo

A consulta geoespacial, ou SQL espacial, está revolucionando a maneira como conduzimos operações de Sistemas de Informações Geográficas (GIS). Ao aproveitar funções e recursos espaciais em bancos de dados SQL, podemos analisar e obter insights valiosos de dados espaciais de maneira transparente.

Uma das principais vantagens do SQL espacial é a sua capacidade de encontrar relações entre geometrias. Seja para determinar proximidade, sobreposição ou contenção, o SQL espacial nos permite desbloquear conexões significativas em conjuntos de dados espaciais. Esta funcionalidade é crucial para diversas aplicações, desde planejamento urbano até monitoramento ambiental e muito mais.

Além disso, a integração de SQL espacial em processos de back-end enriquece nosso código com poderosos recursos analíticos. Ao aplicar a análise espacial diretamente em nossas consultas de banco de dados, simplificamos os fluxos de trabalho e aumentamos a eficiência da tomada de decisões baseada em dados.

No mundo atual orientado por dados, dominar o SQL espacial abre portas para um mundo de possibilidades em GIS e muito mais. Você está pronto para aproveitar todo o potencial da análise de dados espaciais?

Gostou desse post? Conte nos comentários

Fonte: webgis.tech
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11:00
Mappery: Levis go Mappy
sur Planet OSGeo

Marc-Tobias spotted these designery jeans on his travels in Japan. They are sort of must-have for map loving jeans wearers, you can buy them here
MapsintheWild Levis go Mappy
15 May 2024
11:00
Mappery: Missions of Mexico
sur Planet OSGeo

Walter Schwartz sentg us this, he said “Northwestern Mexico, where Baja, Sonora, and Sinaloa provinces are found, has been home to a *lot* of missions since at least 1591. I counted around 100 established in the 1600s and 1700s alone. This picto-map is in the pictured church, La Mision de San Ignacio in the town of San Ignacio, Baja California Sur, Mexico.
MapsintheWild Missions of Mexico
14 May 2024
20:04
GeoSolutions: GeoSolutions Presenting at UN Maps Conference 2024
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15:21
Oslandia: (Fr) Direction de la Sûreté SNCF x accompagnement QGIS et QGIS Server
sur Planet OSGeo

Sorry, this entry is only available in French.
14:00
Fernando Quadro: Geoprocessamento e IA no combate à dengue
sur Planet OSGeo

Um software capaz de identificar, a partir de imagens aéreas, caixas d’água sobre telhados ou lajes e piscinas em áreas abertas foi desenvolvido por pesquisadores brasileiros com o auxílio de ferramentas de Inteligência Artificial. A proposta é usar esse tipo de imagem como indicador de zonas especialmente vulneráveis a infestações do mosquito Aedes aegypti, transmissor de doenças como dengue, zika e chikungunya. Além disso, a estratégia desponta como potencial alternativa para um mapeamento socioeconômico dinâmico das cidades – um ganho para diferentes políticas públicas.

A pesquisa, apoiada pela Fapesp, foi conduzida por profissionais da USP, da Universidade Federal de Minas Gerais (UFMG) e da Superintendência de Controle de Endemias (Sucen) da Secretaria de Estado da Saúde de São Paulo.

Entre outras coisas, o grupo almeja incorporar outros elementos para serem detectados nas imagens e quantificar as taxas reais de infestação do Aedes aegypti em uma dada região para refinar e validar o modelo. “Nós esperamos criar um fluxograma que possa ser aplicado em diferentes cidades para encontrar áreas de risco sem a necessidade de visitas domiciliares, prática que gasta muito tempo e dinheiro público”.

Apesar de as fotos aéreas de Campinas terem sido obtidas com um drone, espera-se que, no futuro, a estratégia testada nessa pesquisa recorra apenas às imagens de satélite.

No estudo em Belo Horizonte, as imagens de satélite foram empregadas com sucesso – elas precisam de alta resolução para que o computador consiga identificar os padrões.

Embora esse tipo de metodologia pareça custoso, ele gera uma potencial economia ao dispensar a necessidade de visitas presenciais para mapear, casa por casa, áreas suscetíveis à dengue. Em vez disso, os agentes de saúde aproveitariam as informações obtidas remotamente – e processadas com a Inteligência Artificial – para se dirigir aos locais prioritários com mais assertividade.

Fonte: webgis.tech
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11:00
Mappery: Aerial Ping Pong
sur Planet OSGeo

Derick Rethams spotted this beer mat in his local pub in Maida Vale. For those of you who are interested

Southern Hemisphere IPA Northern Monk Collaboration. Motueka and Wai-Iti hops bring notes of lime, stone fruits and citrus, alongside a lofty dry hopping of Eclipse and Nectaron for a vibrant mix of orange, tropical fruit and a touch of pine to finish.
[https:]
MapsintheWild Aerial Ping Pong
13 May 2024
11:00
Mappery: Stanfords Discovered
sur Planet OSGeo

My friend Elizabeth just discovered Stanfords store in Covent Garden, she couldn’t resist sending me a pic but asking me “do you know about this place?” really?!?

This isn’t the first time we have featured Stanfords here but it really is the place of pilgrimage for map lovers visiting London.
MapsintheWild Stanfords Discovered

Op	Intersects	Intersects Prep
Relate	61.7 s	21 ms
RelateNG	0.1 s	19 ms

Op	Intersects	Intersects Prep	Touches	Touches Prep
Relate	38.2 s	133 ms	36 s	N/A
RelateNG	1.18 s	142 ms	2.05 s	2.03 s

Op	Intersects	Intersects Prep	Covers	Covers Prep
Relate	61.7 s	534 ms	54.9 s	842 ms
RelateNG	5.8 s	595 ms	6.4 s	943 ms

Op	F*0**	F*0** Prep
Relate	504 s	N/A
RelateNG	9.8 s	6.6 s

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