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#geopython — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geopython, aggregated by home.social.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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

  8. 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

  9. «Welcome to the #AutomatingGIS processes course! Through interactive lessons and hands-on exercises, this course introduces you to #GeographicDataAnalysis using the #Python programming language. If you are new to Python, we recommend you first start with the Geo-Python course (geo-python.readthedocs.io) before diving into using it for GIS analyses in this course.

    Geo-Python and Automating GIS Processes (‘#AutoGIS’) have been developed by the Department of Geosciences and Geography at the University of Helsinki, Finland. The course has been planned and organized by the #DigitalGeographyLab. The teaching materials are openly accessible for anyone interested in learning.»

    autogis-site.readthedocs.io/en

    (via Paul Walter no linkedin)

    #GIS #geoPython #geopandas #shapely #osmnx #networkx

  10. 📍 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

  11. 📍 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.

  12. 📍 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

  13. 📍 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

  14. 🚀 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

  15. 🚀 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

  16. 🚀 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

  17. 🚀 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

  18. It is super cool to be listed as a "contributor" for having chimed in (constructively) on a project's issue :D

    github.com/nathanrooy/taxicab/

    #taxicab is a library that improves on #OSMnx route-finding function, giving more useful results, specially on short routes.

    #geopython #python

  19. 🛰️ A new paper "scikit-eo: A Python package for Remote Sensing Data Analysis" on a tool for analysis with various machine learning and neural networks algorithms.🛰️

    Article: doi.org/10.21105/joss.06692
    Software: yotarazona.github.io/scikit-eo/

  20. Visualize Open Data for the Turkey-Syria using . Search for images and return footprints as a GeoDataFrame with one line of code. Compare pre-event and post-event images side by side 👇

    Notebook: leafmap.org/notebooks/69_turke
    Video: youtu.be/wevzJfOf5GQ

  21. Searching and visualizing datasets interactively with . Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame
    github.com/giswqs/leafmap/pull

  22. Searching and visualizing open geospatial datasets interactively with . Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame.

    github.com/giswqs/leafmap/pull

  23. Great to see and making the top Python packages in 2022. Thank you to Matt Forrest for sharing this on LinkedIn.

    geemap: github.com/giswqs/geemap
    leafmap: github.com/giswqs/leafmap

  24. My projects on GitHub just surpassed 10,000 stars and 3,800 followers. Thank you for your support!

    GitHub: github.com/giswqs
    YouTube: youtube.com/@giswqs