#qgis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #qgis, aggregated by home.social.
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I try to write a png of a map with #qgis and pythoon. This works well for data from a local gpkg-file, but fails on e.g. OSM; there I just get a solid lightblue box for the OSM data. Happens within qgis and as standalone code.
Inside qgis directly use the code from 10.1 https://docs.qgis.org/3.44/en/docs/pyqgis_developer_cookbook/composer.html#simple-rendering . It also shows the correct info on OSM with .metadata().rights().
Any hints or what should I test? In the map within the qgis GUI everything looks ok.
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I try to write a png of a map with #qgis and pythoon. This works well for data from a local gpkg-file, but fails on e.g. OSM; there I just get a solid lightblue box for the OSM data. Happens within qgis and as standalone code.
Inside qgis directly use the code from 10.1 https://docs.qgis.org/3.44/en/docs/pyqgis_developer_cookbook/composer.html#simple-rendering . It also shows the correct info on OSM with .metadata().rights().
Any hints or what should I test? In the map within the qgis GUI everything looks ok.
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I try to write a png of a map with #qgis and pythoon. This works well for data from a local gpkg-file, but fails on e.g. OSM; there I just get a solid lightblue box for the OSM data. Happens within qgis and as standalone code.
Inside qgis directly use the code from 10.1 https://docs.qgis.org/3.44/en/docs/pyqgis_developer_cookbook/composer.html#simple-rendering . It also shows the correct info on OSM with .metadata().rights().
Any hints or what should I test? In the map within the qgis GUI everything looks ok.
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I try to write a png of a map with #qgis and pythoon. This works well for data from a local gpkg-file, but fails on e.g. OSM; there I just get a solid lightblue box for the OSM data. Happens within qgis and as standalone code.
Inside qgis directly use the code from 10.1 https://docs.qgis.org/3.44/en/docs/pyqgis_developer_cookbook/composer.html#simple-rendering . It also shows the correct info on OSM with .metadata().rights().
Any hints or what should I test? In the map within the qgis GUI everything looks ok.
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I try to write a png of a map with #qgis and pythoon. This works well for data from a local gpkg-file, but fails on e.g. OSM; there I just get a solid lightblue box for the OSM data. Happens within qgis and as standalone code.
Inside qgis directly use the code from 10.1 https://docs.qgis.org/3.44/en/docs/pyqgis_developer_cookbook/composer.html#simple-rendering . It also shows the correct info on OSM with .metadata().rights().
Any hints or what should I test? In the map within the qgis GUI everything looks ok.
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Finished teaching #QGIS for #Groundwater Applications to the #ErasmusMundus GroundWatCh MSc students at IST in Lisbon! Despite very hot days in classrooms without AC, the group worked hard and produced great groundwater and surface water maps.
Today, the students received their official QGIS certificates.
Great closing session with @timlinux, presenting on QGIS behind the scenes. Looking forward to seeing the students again at #IHEDelft in 6 months!
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Finished teaching #QGIS for #Groundwater Applications to the #ErasmusMundus GroundWatCh MSc students at IST in Lisbon! Despite very hot days in classrooms without AC, the group worked hard and produced great groundwater and surface water maps.
Today, the students received their official QGIS certificates.
Great closing session with @timlinux, presenting on QGIS behind the scenes. Looking forward to seeing the students again at #IHEDelft in 6 months!
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Finished teaching #QGIS for #Groundwater Applications to the #ErasmusMundus GroundWatCh MSc students at IST in Lisbon! Despite very hot days in classrooms without AC, the group worked hard and produced great groundwater and surface water maps.
Today, the students received their official QGIS certificates.
Great closing session with @timlinux, presenting on QGIS behind the scenes. Looking forward to seeing the students again at #IHEDelft in 6 months!
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Finished teaching #QGIS for #Groundwater Applications to the #ErasmusMundus GroundWatCh MSc students at IST in Lisbon! Despite very hot days in classrooms without AC, the group worked hard and produced great groundwater and surface water maps.
Today, the students received their official QGIS certificates.
Great closing session with @timlinux, presenting on QGIS behind the scenes. Looking forward to seeing the students again at #IHEDelft in 6 months!
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Finished teaching #QGIS for #Groundwater Applications to the #ErasmusMundus GroundWatCh MSc students at IST in Lisbon! Despite very hot days in classrooms without AC, the group worked hard and produced great groundwater and surface water maps.
Today, the students received their official QGIS certificates.
Great closing session with @timlinux, presenting on QGIS behind the scenes. Looking forward to seeing the students again at #IHEDelft in 6 months!
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🚀 The new edition of the book #Geomorphometry is almost available. It’s not open access, but I’m glad to see a strong shift toward #OpenSource tools like #QGIS, #PCRaster, #GRASS, #Whitebox and Python/R packages. Happy I could contribute to this through my chapter on QGIS and PCRaster!
More info and pre-order: https://shop.elsevier.com/books/geomorphometry/reuter/978-0-443-33376-7
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🚀 The new edition of the book #Geomorphometry is almost available. It’s not open access, but I’m glad to see a strong shift toward #OpenSource tools like #QGIS, #PCRaster, #GRASS, #Whitebox and Python/R packages. Happy I could contribute to this through my chapter on QGIS and PCRaster!
More info and pre-order: https://shop.elsevier.com/books/geomorphometry/reuter/978-0-443-33376-7
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🚀 The new edition of the book #Geomorphometry is almost available. It’s not open access, but I’m glad to see a strong shift toward #OpenSource tools like #QGIS, #PCRaster, #GRASS, #Whitebox and Python/R packages. Happy I could contribute to this through my chapter on QGIS and PCRaster!
More info and pre-order: https://shop.elsevier.com/books/geomorphometry/reuter/978-0-443-33376-7
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🚀 The new edition of the book #Geomorphometry is almost available. It’s not open access, but I’m glad to see a strong shift toward #OpenSource tools like #QGIS, #PCRaster, #GRASS, #Whitebox and Python/R packages. Happy I could contribute to this through my chapter on QGIS and PCRaster!
More info and pre-order: https://shop.elsevier.com/books/geomorphometry/reuter/978-0-443-33376-7
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🚀 The new edition of the book #Geomorphometry is almost available. It’s not open access, but I’m glad to see a strong shift toward #OpenSource tools like #QGIS, #PCRaster, #GRASS, #Whitebox and Python/R packages. Happy I could contribute to this through my chapter on QGIS and PCRaster!
More info and pre-order: https://shop.elsevier.com/books/geomorphometry/reuter/978-0-443-33376-7
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I'm working on the next release of my Sidewalk Priority Toolkit plugin #QGIS.
The new version will include docs for running an isochrone server and OpenStreetMap API server locally to calculate Walk Potential at lightning speed.
Here's a test run from Rochester, MN that took under a minute to calculate.
Context:
https://mark.stosberg.com/toolkit-for-sidewalk-location-priority/
https://mark.stosberg.com/new-software-to-calculate-walk-potential-for-cities/ -
✨ Der 4. QGIS-Workshop der @AG Digitalisierung des DASV e.V. findet
📅 am 16. Juli 2026 um 18:00 s.t. online statt.
🗣️Referent: @Kai-Christian Bruhn von NFDI4Objects.
Im Mittelpunkt stehen diesmal:
🌐🌍 Vektorisieren und Kartieren in QGIS
🔗 Zoom-Link: https://uni-hamburg.zoom.us/j/6486455347?pwd=soCEP79NOZVqJy4P53svE03Ng6rsa7.1&omn=63157524821#success
ℹ️ Weitere Infos: https://www.nfdi4objects.net/events/n4o_activity_20250715-1837/
#QGIS #GIS #Archäologie #digitaleArchäologie #NFDI #NFDIrocks @kacebe @i3mainz
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Checking out the Bunting Labs AI Vectorizer Plugin for QGIS
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Geoscience Plugins and QGIS 4
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https://youtu.be/xtu1XVq88DQ?si=-Vzwd73GCkm4JC9w <-- shared video webinar / tutorial
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#GIS #spatial #geological #mapping #usecase #alldataisspatial #geology #geoscience #plugins #tutorial #webinars #opendata #opensource #QGIS #QGIS4 #resourcegeology #remotesensing #geophysics #mining #drilling #visualisation #geochemistry #crosssection @QGIS Australia | @QGIS | @OGC -
I’ve published a new video showing how the AI Edit plugin by #TerraLab can be used to visualise spatial planning scenarios in #QGIS. ▶️ QwastTube: videos.qwast-gis.com/w/iUHsR4ceNz... ▶️ YouTube: youtu.be/8qiNQVCGlsQ #GeoAI #GenAI #SpatialPlanning #GIS #NanoBanana
Visualise Spatial Planning Sce... -
QGIS 4.0 ist da – haben Sie den vollen Überblick? 👀
🚀 Der Umstieg auf Qt6 macht #QGIS fit für die Zukunft – plus 100+ neue Features!
Highlights:
🗺️ Neues 3D-Rendering & Annotationswerkzeuge
✏️ Bézier-Tool & Chamfer/Fillet
☁️ M3C2, Bodenklassifizierung & I3S-Support
🌐 Projekte direkt in PostgreSQL speichern!💚 Unser Favorit: Native COG-Unterstützung & Model Designer.
📖 Changelog: https://qgis.org/project/visual-changelogs/visualchangelog40/
🔌 Plugins & Qt6: https://wheregroup.com/blog/details/neuigkeiten-qgis-4/ -
🚀 QGIS 4.0 is almost here! Test the pre-release NOW via OSGeo4W! 🌍
This massive update brings the long-planned transition to Qt6, making QGIS faster & future-ready. 🛠️
Top features:
✨ New Welcome Page
🛠️ Custom menus/toolbars
🎨 Copy/Paste ALL Styles
🗺️ 3D Billboards
⏳ Raster Temporal AccumulationHelp squash final bugs! 🐛🔨
🔗 Changelog: https://changelog.qgis.org/en/version/4.0/
➡About Camptocamp: https://camptocamp.com
➡About our QGIS offering: https://camptocamp.com/qgis -
Just open-sourced QGIS Style Manager v0.3 — export & import layer styles (QML) with project-based organization.
v1 was a local QGIS 3.x tool. Migrating to QGIS 4.0 / Qt6 broke a few things — enums, return types, deprecated APIs — so I fixed it up and made it public.
✅ Compatible with QGIS 4.0 (Qt6)
✅ Auto-organizes styles into ProjectName/ subfolders
✅ Configurable keyboard shortcuts
✅ i18n support (EN + UK) -
Machen Sie Ihre Plugins fit für #QGIS4 & #Qt6! 🚀
🆕 Mit QGIS 4 wechselt das Framework auf Qt6 – viele Plugins müssen angepasst werden.
💪 Johannes Kröger zeigt auf der #FOSSGIS2026, wie der Umstieg gelingt.
⚡️ Lightning Talk:
• Portierungs-Guide für den Wechsel
• Tools für effiziente Migration
• Typische Stolpersteine vermeiden🧠 Essenziell für alle #QGIS-Plugin-Entwickler!
📅 Do, 26.03. | 09:10 Uhr
📍 HS4 (ZHG 008) -
Igår var jag på #QGIS - kurs för journalister med @leo_wallentin .
Har länge annat att det går att göra kul grejer med #kartor och att det finns intressanta data hos myndigheter som är alldeles för dåligt utnyttjade - inte minst av #journalister .
Har nu hamnat i ett slukhål.
Det finns sååå mycket kartdata!!! Tyvärr alldeles för lite med bäring på #bävrar ...
Nu ska jag bara hitta nåt lagom stort projekt att testa, och inte ta mig vatten över huvudet...
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Igår var jag på #QGIS - kurs för journalister med @leo_wallentin .
Har länge annat att det går att göra kul grejer med #kartor och att det finns intressanta data hos myndigheter som är alldeles för dåligt utnyttjade - inte minst av #journalister .
Har nu hamnat i ett slukhål.
Det finns sååå mycket kartdata!!! Tyvärr alldeles för lite med bäring på #bävrar ...
Nu ska jag bara hitta nåt lagom stort projekt att testa, och inte ta mig vatten över huvudet...
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How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
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https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
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https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
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https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
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H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa -
🗓️ Retour en images sur le #Qalendrier de l'Avant QGIS 4 mené par @guilhem_allaman. Un format alliant humour et didactique pour préparer la communauté à la prochaine version majeure de QGIS.
🎇 Un article idéal pour conclure l'année et en plus il y a des inédits non publiés https://geotribu.fr/articles/2025/2025-12-25_qalendrier_decembre_2025/ doublé d'un format diaporama en anglais : https://slides.geotribu.net/2025-12-25_geotribu_2025_qalendar_en.html#/
👏 Un grand bravo et merci à Guilhem pour avoir relevé ce défi et ambiancé nos réseaux sociaux.
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🖼️ #Qalendrier - jour 24 et DERNIER JOUR !
Il y a bien longtemps, dans une géogalaxie lointaine, très lointaine...
Les GeoJedis s'allient, rassemblent et mutualisent les forces en présence.
Jeune padawan, rejoins le côté QGIS de la Force !
Et merci de nous avoir suivi pendant ce qalendrier de décembre, joyeuses fêtes !
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🖼️ #Qalendrier - jour 21
Hommage au QGIS plugin templater, et sachiez-vous qu'il y a maintenant un plugin QGIS ?
Oui, il est possible de générer une structure de plugin moderne en quelques clics !
-> https://plugins.qgis.org/plugins/qgis_plugin_templater_gui/
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🖼️ #Qalendrier - jour 20
Suite arithmétique ? 🤔
Pour tout entier n tel que n >= 2, QGIS(n) = Qt(n+2) ?
C'est vrai ce mensonge ?
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🖼️ #Qalendrier - jour 14
Puisqu'un calendrier sans chat n'en est pas vraiment un 🐱
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🖼️ #Qalendrier - jour 11
Exorcisez vos démons, par exemple en lançant l'outil pyqgis4-checker sur vos plugins ?
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🖼️ #Qalendrier - jour 10
Et cette fameuse tirade de William Shakesfiles : LTR or not LTR, that is the question.
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🖼️ #Qalendrier - jour 9
Aujourd'hui on traverse le Rhin, avec une blague qlassique chez nos amis allemands, au sujet de ce logiciel SIG qu'est vachement bien : KuhGIS 🐮 !
Une image qui on l'espère ne vous rendra pas chèvre...Celle-ci fait suite à des échanges avec @cartocalypse, qui a toute une myriade de splashscreens KuhGIS 😏
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🖼️ #Qalendrier - jour 6
QGIS4 c'est Qt6 et non plus Qt5, pour que vos outils soient compatibles exit donc les imports explicites !
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🖼️ #Qalendrier - jour 3
Focus sur la roadmap de QGIS4, avec la v4.0 prévue en février prochain, et la v4.2 - première LTR - en octobre 2026.
Ça va venir vite, alors anticipez, dès maintenant !
Par exemple en vérifiant la compatibilité de vos plugins avec Qt6, la nouvelle version qu'embarquera QGIS4.
Plus d'infos sur le blog de QGIS.org : https://blog.qgis.org/2025/10/07/update-on-qgis-4-0-release-schedule-and-ltr-plans/
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#30DayMapChallenge Day 1 - Points
Creating a #centroid is not as trivial as you might think!
If you are dealing with regional population data, the locational difference between a regular geometric centroid and a population-weighted centroid can be vast, and affect your model quite much!
Map by me 🤓
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QGIS Trend Surface Generation
Processing Toolbox script to generate trend surface from point data
https://github.com/geosaber/trendsurf/wiki
#qgis #trend #surface #interpolation #regression #residual
💠 Applications in GIS
▫️ Regional slope detection
▫️ Geological trend identification
▫️ Climate pattern analysis
▫️ Pollution gradient mapping
▫️ Temperature surface generation
▫️ Precipitation trend analysis
hub.qgis.org/scripts -
🥳 New versions of @movingpandas and #Trajectools have just landed:
🚢🚚🚲🦅 #MovingPandas 0.21.3 https://github.com/movingpandas/movingpandas/releases/tag/v0.21.3
:qgis: Trajectools 2.5 https://codeberg.org/movingpandas/trajectools/releases/tag/v2.5
🙏 Please update your MovingPandas install to get all the improvements in #QGIS Trajectools https://plugins.qgis.org/plugins/processing_trajectory/#plugin-versions
#GISChat #MovementDataAnalytics #MobilityDataScience #Python
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🥳:qgis: @qgis 3.42 has landed in #condaforge
https://anaconda.org/conda-forge/qgis
My favorite way to install #QGIS
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Avis aux cartogeeks : revivez les DURs en mode géomatique 🤓 !
https://peertube.mesnumeriques.fr/w/qZDriqUpGeZ9Gv4nzPR2SG
#rétrospective #OpenStreetMap #QGIS #pygame #balades #ClermontFerrand #PuyDeDome
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In knapp zwei Monaten halte ich auf der @fossgis_konf eine Demosession zur Georeferenzierung #historischer #Karten mit #QGIS. Dabei sein lohnt sich, in Präsenz onsite oder virtuell online 👇
https://www.fossgis-konferenz.de/2025/anmeldung/
Den Inhalt der Demosession findet ihr hier: 👇
https://pretalx.com/fossgis2025/talk/E8EPG3/ -
I've had smoother releases 🙃
But hey, #MovingPandas 0.21 is here https://github.com/movingpandas/movingpandas/releases
Make sure to update if you want to use the new #QGIS #Trajectools plugin version which will be released soon 🆙
#MovementDataAnalytics #MobilityDataScience #Python #DataScience #GISChat
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30 DAY MAP CHALLENGE 2024 | DAY 6 - RASTER
Albay at different resolutions (100m, 500m, 1000m, 5000m)DATA
> Any Digital Elevation Model (DEM)PROCESS
1. Resample the DEM into 100, 500, 1000, 5000m meter pixel sizes (e.g. using Warp (Reproject) algorithm)
2. Create polygon boundaries for each resampled DEM using Polygonize (raster to vector) and Dissolve.
3. Style #2 accordingly...
#30DayMapChallenge #30DayMapChallenge2024 #Day6 #Raster #MadeWithQGIS #QGIS #FOSS4G #Albay
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NOTE
1. The flood hazard data has invalid geometries/features. You can resolve this by fixing the geometries (takes a long time) or simply disabling the Invalid features filtering in QGIS processing settings.
2. Some areas have no flood hazard features. These are marked as NO DATA in the maps.#30DayMapChallenge #30DayMapChallenge2024 #Day4 #Hexagons #MadeWithQGIS #QGIS #FOSS4G #Kontur #UPRI #Flood #NCR #Albay #Cebu #Pangasinan
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...
3. Generate centroids from the output of #2 (either using the Centroids algorithm or Geometry generators).
4. To speed up and automate the process, I created a model that runs steps 1-3 above.
5. Style the output of 3 using: marker = hexagon, size = depends on population, color = depends on hazard level (Var). Utilize data-defined overrides/Assistant.#30DayMapChallenge #30DayMapChallenge2024 #Day4 #Hexagons #MadeWithQGIS #QGIS #FOSS4G #Kontur #UPRI #Flood #NCR #Albay #Cebu #Pangasinan
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PROCESS
1. Use the "Sort" algorithm to create an ordered version of the flood hazard layer such that the features with high hazard level (3) will always be the first feature that will be matched in #2 below.
2. Run a "Join attributes by Location" between the population hex grid layer and the sorted/ordered flood hazard layer (output of #1).
...#30DayMapChallenge #30DayMapChallenge2024 #Day4 #Hexagons #MadeWithQGIS #QGIS #FOSS4G #Kontur #UPRI #Flood #NCR #Albay #Cebu #Pangasinan
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30 DAY MAP CHALLENGE 2024 | DAY 4 - HEXAGONS
Population ⬡ Flood Hazard
- larger hexagon = more people in the area
- redder color = higher hazard levelDATA
> Population density for 400m H3 Hexagons [Kontur] - https://data.humdata.org/dataset/kontur-population-philippines
> Flood hazard (100-year rain return) [UPRI/Project NOAH] - https://drive.google.com/drive/folders/10pCWTfU-gVuAbdx4gdUGaDcNrSzMz0Mm#30DayMapChallenge #30DayMapChallenge2024 #Day4 #Hexagons #MadeWithQGIS #QGIS #FOSS4G #Kontur #UPRI #Flood #NCR #Albay #Cebu #Pangasinan
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Auf der #CAAde geht es neben sehr interessanten Projekten ganz viel um #DigitaleArchäologie, #Statistik, #QGIS, #R, #Python und #maschinellesLernen. Das hilft mir sehr zu verstehen, was für Daten und Prozesse mit der #Archäologie und #Fundplätzen in Verbindung stehen. @nfdi4objects #N4OgoesCAAde2024