#Tag
A new version of {valh} has hit the CRAN.
{valh} is an interface between R and the Valhalla API.
Valhalla is a routing service based on OpenStreetMap data.
https://github.com/riatelab/valh
This is mostly a maintenance release, no new features, but the package is working well 🙂 .
Co-authored by @mthv
#RStats #RSpatial #OpenStreetMap #gis
A new version of {valh} has hit the CRAN.
{valh} is an interface between R and the Valhalla API.
Valhalla is a routing service based on OpenStreetMap data.
https://github.com/riatelab/valh
This is mostly a maintenance release, no new features, but the package is working well 🙂 .
Co-authored by @mthv
#RStats #RSpatial #OpenStreetMap #gis
useR! 2026 call for abstracts is open
Hoping to see many contributions on spatial data analysis in R!
useR! 2026 call for abstracts is open
Hoping to see many contributions on spatial data analysis in R!
Are you interested in modern spatial data analysis and mapping? If you are looking for a way to improve your point-and-click workflow, R programming language is the perfect solution! With these powerful spatial packages, it is possible to handle the entire process in a transparent, reproducible and scalable way.
"Géomatique et cartographie avec R" has been updated! 
🗺️ 
- Données vectorielles avec {sf}
(vector data processing)
- Données raster avec {terra}
(raster data processing)
- Cartographie avec {mapsf}
(thematic mapping)
- OpenstreetMap
This manual is in French. A lighter, slightly outdated English version is available here: https://rcarto.github.io/cartography_with_r/
"Géomatique et cartographie avec R" has been updated! 🗺️
- Données vectorielles avec {sf}
(vector data processing)
- Données raster avec {terra}
(raster data processing)
- Cartographie avec {mapsf}
(thematic mapping)
- OpenstreetMap
This manual is in French. A lighter, slightly outdated English version is available here: https://rcarto.github.io/cartography_with_r/
New version of {maplegend} ! 📦
{maplegend} is an R package for creating, well, map legends. 🙂
This version improves the display of legends in plots and introduces two new features: a histogram legend type, and arguments to set decimal and big value separators.
🔗 Blog post: https://rcarto.github.io/posts/maplegend_v0.4.0/
https://cran.r-project.org/web/packages/maplegend/index.html
New version of {maplegend} ! 📦
{maplegend} is an R package for creating, well, map legends. 🙂
This version improves the display of legends in plots and introduces two new features: a histogram legend type, and arguments to set decimal and big value separators.
🔗 Blog post: https://rcarto.github.io/posts/maplegend_v0.4.0/
https://cran.r-project.org/web/packages/maplegend/index.html
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.
