The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️
The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️
New CRAN release of R package gdalraster, comprehensive API bindings to GDAL:
https://firelab.github.io/gdalraster/news/index.html

An R console integrated into QGIS. Write and execute R code directly inside QGIS with full access to the active project's layers, CRS, extent, and properties from R. - jsmendozap/rqgis
Do you work with Zarr data? The `pizzarr` package has just been published on CRAN! This is an R implementation for creating, reading, and writing chunked Zarr arrays, developed by David Blodgett and Mark Keller. It supports both Zarr V2 & V3 and efficient slicing of large N-dimensional arrays, making it perfect for handling massive datasets.
GitHub repository: https://github.com/zarr-developers/pizzarr
#rstats 📦 #qgisprocess 0.4.2 has been released on CRAN to support #QGIS 4.0 🎉
Provides seamless access to the QGIS (<https://qgis.org>) processing toolbox using the standalone qgis_process command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from sf, terra and stars are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
RE: https://fediscience.org/@felixcremer/116279350088213420
#rstats #rspatial developers, this may be of interest for some of you.
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: https://spatial-data-science.github.io/2026/
Register directly: https://survey.academiccloud.de/f/861612?lang=en
#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo
✨ Raster/grid logic is rather simple: six numbers define a grid, and from them you can compute cells, coordinates, cropping, snapping, etc.
All of this is explain in a blog post by Michael Sumner.
https://www.hypertidy.org/posts/2025-12-21_vaster-grid-logic/vaster-grid-logic
🌲 Landscape Metrics in R Workshop presented by Paige Wirth.
An introduction to calculating landscape metrics and analyzing spatial patterns in land-cover data using R.
