New CRAN release of R package gdalraster, comprehensive API bindings to GDAL:
https://firelab.github.io/gdalraster/news/index.html
Introduction to the Geospatial Abstraction Library (GDAL) with the new CLI
🚀 QGIS2VectorTiles v2.3 is here — with a huge performance boost!
✅ Preprocessing now runs in parallel using multiple QGIS tasks.
🕜 No more waiting on endless rules exports.
Scale your resources, generate stunning web maps faster and do not forget to say goodbye to ESRI’s VTPK.
Please share and help spread the word.
Go #FOSS ! 🙂
I am excited about this tech and where it's going but I can't help try to point *away from* the thing that just didn't bring the tech *already* but obstinately blocked it for reasons unknown
https://sedona.apache.org/latest/blog/2026/03/01/sedonadb-030-release/#r-gdalogr-read-support here's some examples of less-amazing alternative: https://gist.github.com/mdsumner/fc16a9f98ed35dbfcd944124da02fcf5 supported A VERY LONG TIME by #GDAL
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.
Stefan Ziegler
Chris Toney
Javier Jimenez Shaw
geoObserver
hansakwast
jokan
Michael Sumner
cartocalypse