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119 results for “nowosad”

  1. Geospatial conferences in 2026
    A curated and growing list of events in GIS and spatial data science

    🔗 github.com/Nowosad/conferences

    Which ones are you planning to attend?

  2. A growing list of 2026 geospatial conferences is live 🌍

    URL: github.com/Nowosad/conferences

    If you know of additional GIS or remote-sensing events, please contribute. PRs and suggestions are welcome.

  3. @nowosad Oh! I know some people that work for #ASI and #FSC that could be interested in.

  4. David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

    URL: geospatialstuff.com/posts/2025

  5. David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

    URL: geospatialstuff.com/posts/2025

    #GIS #rspatial #spatialanalysis

  6. David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

    URL: geospatialstuff.com/posts/2025

    #GIS #rspatial #spatialanalysis

  7. David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

    URL: geospatialstuff.com/posts/2025

    #GIS #rspatial #spatialanalysis

  8. David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

    URL: geospatialstuff.com/posts/2025

    #GIS #rspatial #spatialanalysis

  9. Last month I had the pleasure of attending the Advances in Spatial Machine Learning 2026 workshop.

    It provided an excellent setting for in-depth discussions, shared learning, and exchange of ideas.

    advsml.github.io/2026/

  10. Thank you to everyone who came to discuss my PICO at #EGU26 today 👋

    “Assessing residual spatial autocorrelation in machine learning models”

    Slides & details: jakubnowosad.com/egu2026/

    #MachineLearning #SpatialAnalysis #EGU2026

  11. Thank you to everyone who came to discuss my PICO at today 👋

    “Assessing residual spatial autocorrelation in machine learning models”

    Slides & details: jakubnowosad.com/egu2026/

  12. Thank you to everyone who came to discuss my PICO at #EGU26 today 👋

    “Assessing residual spatial autocorrelation in machine learning models”

    Slides & details: jakubnowosad.com/egu2026/

    #MachineLearning #SpatialAnalysis #EGU2026

  13. Thank you to everyone who came to discuss my PICO at #EGU26 today 👋

    “Assessing residual spatial autocorrelation in machine learning models”

    Slides & details: jakubnowosad.com/egu2026/

    #MachineLearning #SpatialAnalysis #EGU2026

  14. Thank you to everyone who came to discuss my PICO at #EGU26 today 👋

    “Assessing residual spatial autocorrelation in machine learning models”

    Slides & details: jakubnowosad.com/egu2026/

    #MachineLearning #SpatialAnalysis #EGU2026

  15. GDAL can fix invalid geometries in a few different ways, depending on what you want to preserve. The main options are a “linework” approach that sticks closely to the original input, and a “structure” approach that prioritises clean, valid polygons 🛠️

    Since GDAL 3.12, you can also run this directly from the command line with `gdal vector make-valid`.

  16. My presentation at #EGU26 (Vienna):

    > Assessing residual spatial autocorrelation in machine learning models

    📅 6 May | ⏰ 16:30 CEST
    📍 PICO2.6, spot 2

    See you there!

    #MachineLearning #SpatialAnalysis #GISchat

  17. My presentation at (Vienna):

    > Assessing residual spatial autocorrelation in machine learning models

    📅 6 May | ⏰ 16:30 CEST
    📍 PICO2.6, spot 2

    See you there!

  18. My presentation at #EGU26 (Vienna):

    > Assessing residual spatial autocorrelation in machine learning models

    📅 6 May | ⏰ 16:30 CEST
    📍 PICO2.6, spot 2

    See you there!

    #MachineLearning #SpatialAnalysis #GISchat

  19. My presentation at #EGU26 (Vienna):

    > Assessing residual spatial autocorrelation in machine learning models

    📅 6 May | ⏰ 16:30 CEST
    📍 PICO2.6, spot 2

    See you there!

    #MachineLearning #SpatialAnalysis #GISchat

  20. My presentation at #EGU26 (Vienna):

    > Assessing residual spatial autocorrelation in machine learning models

    📅 6 May | ⏰ 16:30 CEST
    📍 PICO2.6, spot 2

    See you there!

    #MachineLearning #SpatialAnalysis #GISchat

  21. Final deadline extension 📢
    Special Issue: Coding Earth: Open Source Solutions in Physical Geography (Progress in Physical Geography: Earth and Environment)

    We already have a dozen or so submissions and look forward to more.

    Submit by 30 June 2026!

    journals.sagepub.com/home/ppg

  22. a5R brings the A5 pentagonal geospatial index to R.

    Equal-area pentagonal cells across 31 resolutions, encoded as 64-bit integers, with millimetre-level precision at the finest scale 🗺️

    R package by Hugh Graham; a5 by Felix Palmer

    github.com/belian-earth/a5R

  23. R Dev Day @user! 2026 (Warsaw, July 10): a free, hybrid event for contributing to base R.

    Places are limited; participants selected via self-nomination. Please complete the nomination form by April 24 🛠️

    user2026.r-project.org/additio

    #rstats #useR2026

  24. R Dev Day @user! 2026 (Warsaw, July 10): a free, hybrid event for contributing to base R.

    Places are limited; participants selected via self-nomination. Please complete the nomination form by April 24 🛠️

    user2026.r-project.org/additio

  25. R Dev Day @user! 2026 (Warsaw, July 10): a free, hybrid event for contributing to base R.

    Places are limited; participants selected via self-nomination. Please complete the nomination form by April 24 🛠️

    user2026.r-project.org/additio

    #rstats #useR2026

  26. R Dev Day @user! 2026 (Warsaw, July 10): a free, hybrid event for contributing to base R.

    Places are limited; participants selected via self-nomination. Please complete the nomination form by April 24 🛠️

    user2026.r-project.org/additio

    #rstats #useR2026