#Tag
What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:
- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids
What would you add?
What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:
- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids
What would you add?
How spatial sampling methods affect the variance of your mean estimate when spatial autocorrelation is present.
https://dosull.github.io/posts/2025-11-14-gia-chapter-2A-spatial-autocorrelation/
#rstats #rspatial
How spatial sampling methods affect the variance of your mean estimate when spatial autocorrelation is present.
https://dosull.github.io/posts/2025-11-14-gia-chapter-2A-spatial-autocorrelation/
#rstats #rspatial
GDAL is not only a tool for handling various geospatial data formats. The new version introduces support for many geoprocessing tools, including:
- raster algebra,
- raster reclassification,
- focal and zonal statistics,
- multi-stage pipelines,
- and much more!
Check out the details here: https://gdal.org/en/release-3.12/programs/index.html#gdal-application (note, this is still experimental).
GDAL is not only a tool for handling various geospatial data formats. The new version introduces support for many geoprocessing tools, including:
- raster algebra,
- raster reclassification,
- focal and zonal statistics,
- multi-stage pipelines,
- and much more!
Check out the details here: https://gdal.org/en/release-3.12/programs/index.html#gdal-application (note, this is still experimental).
📦 New R package: sfhotspot by Matt Ashby
Identify & analyze spatial clusters of points (places/events) entirely with sf objects.
Includes tools for counts, change over time, kernel density, Getis–Ord Gi*, & classification.
🔗 GitHub: https://github.com/mpjashby/sfhotspot
📦 New R package: sfhotspot by Matt Ashby
Identify & analyze spatial clusters of points (places/events) entirely with sf objects.
Includes tools for counts, change over time, kernel density, Getis–Ord Gi*, & classification.
🔗 GitHub: https://github.com/mpjashby/sfhotspot
New R package: rgeomorphon 📦 by Andrew Brown
Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.
New R package: rgeomorphon 📦 by Andrew Brown
Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.
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