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  1. How does physical vegetation compare to administrative park maps?

    In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.

    🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.

    🔗 Read the full article: livewirecalgary.com/2026/08/06

    #GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary

  2. I've updated the documentation for Carto-Lab Docker [1]. Maintaining open source software in spatial data science requires documenting reliable research workflows. I find this even more important than package and feature updates.

    New sections cover specific setups for reproducible spatial data processing, such as connecting VS Code to remote Jupyter containers [2], managing long-running spatial jobs in the background [3], and configuring SSH agent support for automated Git authentication [4].

    #SpatialDataScience #OpenScience #Reproducibility #JupyterLab

    [1]: cartolab.fdz.ioer.info/
    [2]: cartolab.fdz.ioer.info/use-cas
    [3]: cartolab.fdz.ioer.info/use-cas
    [4]: cartolab.fdz.ioer.info/use-cas

  3. IOER FDZ Carto-Lab Docker v1.1.0 is released [1].

    The main addition in this version is the integration of #JupyterGIS. It is a stunning project that brings a full web-based GIS suite directly into the Jupyter environment, complete with real-time collaborative editing for team projects [2].

    I also expanded the documentation to cover advanced developer workflows. This includes new guides on persistent SSH client authentication for Git [3] and the templates I use for setting up automated, reproducible research pipelines [4].

    Available via our Gitlab Chemnitz Registry (internal) and publicly via Quay.io:
    quay.io/repository/ioer-fdz/ca

    #GIS #Jupyter #SpatialDataScience #ReproducibleResearch #Docker #RDM

    @ioer

    [1]: github.com/ioer-dresden/carto-
    [2]: cartolab.fdz.ioer.info/jupyter
    [3]: cartolab.fdz.ioer.info/use-cas
    [4]: cartolab.fdz.ioer.info/use-cas

    @ioer

  4. IOER FDZ Carto-Lab Docker v1.1.0 is released [1].

    The main addition in this version is the integration of #JupyterGIS. It is a stunning project that brings a full web-based GIS suite directly into the Jupyter environment, complete with real-time collaborative editing for team projects [2].

    I also expanded the documentation to cover advanced developer workflows. This includes new guides on persistent SSH client authentication for Git [3] and the templates I use for setting up automated, reproducible research pipelines [4].

    Available via our Gitlab Chemnitz Registry (internal) and publicly via Quay.io:
    quay.io/repository/ioer-fdz/ca

    #GIS #Jupyter #SpatialDataScience #ReproducibleResearch #Docker #RDM

    @ioer

    [1]: github.com/ioer-dresden/carto-
    [2]: cartolab.fdz.ioer.info/jupyter
    [3]: cartolab.fdz.ioer.info/use-cas
    [4]: cartolab.fdz.ioer.info/use-cas

    @ioer

  5. ⏰️ Reminder: submission deadline for the Spatial Data Science Award is soon (May 31).

    If you’re planning to nominate people contributing to geospatial open science, OSS development, and community building, now is the time to submit.

    spatial-data-science.github.io

  6. ⏰️ Reminder: submission deadline for the Spatial Data Science Award is soon (May 31).

    If you’re planning to nominate people contributing to geospatial open science, OSS development, and community building, now is the time to submit.

    spatial-data-science.github.io

    #SpatialDataScience #GISchat #OpenScience #FOSS4G

  7. This is a reminder that the registration for SDSL 2026 is end of May.

    You are developing tools for spatial data science?

    Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

    Connect R, Python, Julia & more in spatial science.

    Apply for on-site participation till end of May 2026.

    More infos: spatial-data-science.github.io

    Register directly: survey.academiccloud.de/f/8616

    #SDSL #geospatial #julialang #python #R
    #SDSL2026
    #SpatialDataScience
    #OpenSource
    #RSpatial
    #Geopython
    #Juliageo

  8. This is a reminder that the registration for SDSL 2026 is end of May.

    You are developing tools for spatial data science?

    Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

    Connect R, Python, Julia & more in spatial science.

    Apply for on-site participation till end of May 2026.

    More infos: spatial-data-science.github.io

    Register directly: survey.academiccloud.de/f/8616

    #SDSL #geospatial #julialang #python #R
    #SDSL2026
    #SpatialDataScience
    #OpenSource
    #RSpatial
    #Geopython
    #Juliageo

  9. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

  10. This has been way too long in the making and it's finally out:

    "Spatiotemporal Model Cards", basically a cheat sheet for documenting #GeoAI models so that you'll thank your past self when you circle back to your docs in the future

    📋 Markdown template ... github.com/anitagraser/model-c
    📝 #OpenAccess paper with all the details ... dl.acm.org/doi/abs/10.1145/380

    Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

    #SpatialDataScience

  11. You are developing tools for spatial data science?

    Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

    Connect R, Python, Julia & more in spatial science.

    Apply for on-site participation till end of May 2026.

    More infos: spatial-data-science.github.io

    Register directly: survey.academiccloud.de/f/8616

    #SDSL #geospatial #julialang #python #R
    #SDSL2026
    #SpatialDataScience
    #OpenSource
    #RSpatial
    #Geopython
    #Juliageo

  12. You are developing tools for spatial data science?

    Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

    Connect R, Python, Julia & more in spatial science.

    Apply for on-site participation till end of May 2026.

    More infos: spatial-data-science.github.io

    Register directly: survey.academiccloud.de/f/8616

    #SDSL #geospatial #julialang #python #R
    #SDSL2026
    #SpatialDataScience
    #OpenSource
    #RSpatial
    #Geopython
    #Juliageo

  13. One more quick byproduct of my MDEM development: a bivariate map integrating volumetric structural data (SAR) with surface temperature (LST). This approach identifies the exceptionally intensive dissipative role of volumetric vegetation structure (trees and tall shrubs). By accounting for these high-performance cooling elements, we can better understand how they supplement traditional landscaping to enhance the city's overall thermal resilience.

    #UrbanHeatIsland #EnvironmentalScience #DataScience #Calgary #YYC #Sustainability #RemoteSensing #GIS #MDEM #GreennessOfCalgary #CalgaryMDEM #RStats #UrbanPlanning #EarthObservation #OpenScience #SpatialDataScience #SpatialData

  14. One more quick byproduct of my MDEM development: a bivariate map integrating volumetric structural data (SAR) with surface temperature (LST). This approach identifies the exceptionally intensive dissipative role of volumetric vegetation structure (trees and tall shrubs). By accounting for these high-performance cooling elements, we can better understand how they supplement traditional landscaping to enhance the city's overall thermal resilience.

    #UrbanHeatIsland #EnvironmentalScience #DataScience #Calgary #YYC #Sustainability #RemoteSensing #GIS #MDEM #GreennessOfCalgary #CalgaryMDEM #RStats #UrbanPlanning #EarthObservation #OpenScience #SpatialDataScience #SpatialData

  15. We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.

    URL: doi.org/10.5311/JOSIS.2025.31.

  16. We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.

    URL: doi.org/10.5311/JOSIS.2025.31.

    #SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo

  17. QGIS to (Geo)Pandas – part 3

    The journey continues: QgsArrowIterator is now merged, making it possible to iterate over QgsFeatures as Arrow batches.

    This is where we are now ... anitagraser.com/2025/12/03/qgi

  18. QGIS to (Geo)Pandas – part 3

    The journey continues: QgsArrowIterator is now merged, making it possible to iterate over QgsFeatures as Arrow batches.

    This is where we are now ... anitagraser.com/2025/12/03/qgi

    #QGIS #GeoPandas #GISChat #SpatialDataScience #Arrow #Python

  19. Getting a s***-ton of CSV files as input for spatial analysis can be a pain.

    Yes, you can write a quick Python loop in the console to load them but it's not a great workflow, imho.

    The DuckDB read_csv function has been very convenient for this kind of ETL workflow:

    fosstodon.org/@underdarkGIS/11

  20. Getting a s***-ton of CSV files as input for spatial analysis can be a pain.

    Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.

    The DuckDB read_csv function has been very convenient for this kind of ETL workflow:

    fosstodon.org/@underdarkGIS/11

    #DuckDB #ETL #SpatialDataScience #DataScience

  21. Great discussions at about integrating libraries in desktop and cloud environments, featuring @movingpandas , @qgis and the @carto Trajectory Analytics extension from the @emeraldseu project

  22. Great discussions at #SDSL2025 about integrating #SpatialDataScience libraries in desktop and cloud environments, featuring @movingpandas , @qgis #Trajectools and the @carto Trajectory Analytics extension from the @emeraldseu project

  23. 📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.

    Connect R, Python, Julia & more in spatial science.

    🔗 forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.

  24. 📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.

    Connect R, Python, Julia & more in spatial science.

    🔗 forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.

    #SDSL2025 #SpatialDataScience #OpenSource #RSpatial #Geopython #Juliageo

  25. HeiGIT will be attending this year's Association of Geographic Information Laboratories in Europe (AGILE) conference in Dresden, Germany from 10-13 June 2025 with a workshop and several paper and poster sessions.💡🗣️

    The sessions will explore how disaster and risk management and smart, sustainable mobility contribute to solving global challenges.

    💬 More information and the specific session times to join us: heigit.org/events/call-for-par

    #AGILE2025 #SpatialDataScience #conference

  26. HeiGIT will be attending this year's Association of Geographic Information Laboratories in Europe (AGILE) conference in Dresden, Germany from 10-13 June 2025 with a workshop and several paper and poster sessions.💡🗣️

    The sessions will explore how disaster and risk management and smart, sustainable mobility contribute to solving global challenges.

    💬 More information and the specific session times to join us: heigit.org/events/call-for-par

    #AGILE2025 #SpatialDataScience #conference

  27. 🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍

    Exploring challenges & insights from & for spatial data handling—geodetic coords, data cubes, and more!

    🔗 Read here: arxiv.org/html/2503.16686v1

  28. 🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍

    Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!

    🔗 Read here: arxiv.org/html/2503.16686v1

    #SpatialDataScience #rspatial #geopython #juliageo

  29. Here’s a useful list of Diamond Open Access Journals by Lorena Abad, covering topics like Geoinformatics, Remote Sensing, Geomorphology, and more.

    Feel free to add suggestions via PR.

    Check it out: buff.ly/3WxYxnT

  30. Here’s a useful list of Diamond Open Access Journals by Lorena Abad, covering topics like Geoinformatics, Remote Sensing, Geomorphology, and more.

    Feel free to add suggestions via PR.

    Check it out: buff.ly/3WxYxnT

    #OpenAccess #Geoinformatics #SpatialDataScience

  31. Interesting to see the distance between Maplands (home of
    @qgis) and Geosppytiallia (home of @movingpandas) in anvaka.github.io/map-of-github

    Why are Lidaria and Carto3Dica in between?

    It's all (Landia) 😜

  32. Looking for great websites and blogs about spatial data science.

    What are your go-to resources for #SpatialDataScience? 📊🗺️

    #GIS #DataScience #gischat

  33. It has been an intensive and fruitful 2-day specialist meeting on Sociotechnical Foundations of #GeoAI and #SpatialDataScience with lots of discussions on key themes: sustainability, trust, bias, accountability, reproducibility, and explainability #XAI

    It was a real pleasure and honor to be able to join the discussions and meet everyone in person here in Vienna