The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️

URL: https://dieghernan.github.io/202602_geobounds/

#RStats #RSpatial #GISchat

New CRAN release of R package gdalraster, comprehensive API bindings to GDAL:
https://firelab.github.io/gdalraster/news/index.html

#rstats #rspatial #gdal

Changelog

Announcing R Console, a #QGIS plugin that embeds an interactive R environment within QGIS.
Seamless bidirectional communication between R and QGIS. Pull data from any R package or API and push it straight to the map canvas.
Everything in one workflow, no switching windows, no manual exports. Feedback welcome.
#rstats #rspatial
https://github.com/jsmendozap/rqgis
GitHub - jsmendozap/rqgis: 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.

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

GitHub

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 #rspatial #gischat #zarr

Anyone else having a load of breaking changes with the new geometry handling in #duckdb >1.5.0? #rspatial

#rstats 📦 #qgisprocess 0.4.2 has been released on CRAN to support #QGIS 4.0 🎉

🌐 https://r-spatial.github.io/qgisprocess

#rspatial

Use QGIS Processing Algorithms

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

Spatial Data Science across Languages (SDSL) 2026

2026

✨ 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

#RStats #RSpatial #Gischat

🌲 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.

Watch: https://www.youtube.com/watch?v=WdqLMaCesjM

#rstats #LandscapeEcology #RSpatial

Landscape Metrics in R Workshop

YouTube