New R package alert: mbg for model-based geostatistics

Run spatial ML & geostatistical models to estimate continuous surfaces from point data + raster covariates.

Built on sf, terra, data.table, caret, and R-INLA.

https://cran.r-project.org/package=mbg

Final part of our Spatial ML with R series !

We explore spatial cross-validation with sperrorest & blockCV — tools outside the usual ML frameworks

URL: https://geocompx.org/post/2025/sml-bp6/

Okay - further to my early rants about CDSE data, it aint as bad as I thought it also prompted me to properly sort out my approach to scaling/offsets which had been driving me mad! So if anyone cares for another way to download data from CDSE, with #rspatial / #gdal I made a gist:

https://gist.github.com/h-a-graham/86cd3403445cf163ce958efa2d29c621

There are still some improvements to be made for sure.

FYI @Micha_Silver

Chapter 11: Writing Geoalgorithms

Focuses on developing reusable and reproducible code for spatial tasks in R. Demonstrates algorithm design using examples like calculating polygon centroids.

https://r.geocompx.org/algorithms

¡Nueva edición del libro Usa R como Sistema de Información Geográfica!

Me da mucho gusto compartir que ya está disponible la nueva edición de este libro, escrito originalmente por Jean-François Mas, y que en esta versión suma a nuevos colaboradores y colaboradoras, ampliándose con capítulos adicionales y casos de uso aplicados.

Puedes descargarlo gratuitamente en formato digital aquí:
https://u.pcloud.link/publink/show?code=XZs74u5ZSy6RJH0Oj6kLUd43oBlXz0lUcX1V

The first major version of {mapsf} has arrived on CRAN!

mapsf is a thematic mapping R package. Its goal is to be simple and lightweight while offering all the necessary features to create beautiful statistical maps.

This release includes a revamped theming system, an updated cheat sheet and improved PNG and SVG exports and solves some long-lasting display bugs.

More details in this blog post: https://rcarto.github.io/posts/mapsf_v1.0.0

New website: https://riatelab.github.io/mapsf

A heads-up about the Geocomputation with R book: some copies were mistakenly printed in black & white instead of full color. If you received one, please contact me or the publisher for a replacement. A new, correct copy will be sent to you!

Publisher: https://www.routledge.com/contacts/customer-service

I finally manage to watch @paleolimbot presentation at @RConsortium on "scaling the #Rspatial ecosystem" !

https://www.youtube.com/watch?v=tjNEoIYr_ag

Quick subjective key points:

- Use the database Luke and learn a bit SQL (I was already converted)

- the diversity of R packages to do some workflows also represent the diversity of standards (s.f.) and steps to reach similar results

- wkt_filter seems very nice (I was using "query" and GDAL/SQL instead)

Chapter 10: Bridges to GIS Tools

Shows how to connect R with external GIS tools like QGIS, GRASS, and SAGA. Also includes guidance on working with GDAL, spatial databases, and cloud-based services.

https://r.geocompx.org/gis

New blog post! Part 5 of our series on spatial ML with #RStats explores specialized packages: RandomForestsGLS, spatialRF, and meteo -- tools beyond caret, tidymodels, & mlr3.

URL: https://geocompx.org/post/2025/sml-bp5/

TOMORROW! Scaling the r-spatial ecosystem for the modern composable data pipeline - with Dewey Dunnington, Senior Software Engineer at Wherobots

Tues, June 24, 1pm ET

Sign up now! https://r-consortium.org/webinars/scaling-the-r-spatial-ecosystem-for-the-modern-composable-data-pipeline.html

#RStats #rspatial #OpenSource @paleolimbot

Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.

Connect R, Python, Julia & more in spatial science.

https://forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.

From Brittany Barker: ‘My "GIS and Mapping in R" workshop for the Cascadia R Conference . . . is available at GitHub and includes four exercises that focus on using "sf", "terra", "ggplot2", and "leaflet" for geospatial analyses and creating static and interactive maps’
#RStats #RSpatial
(Barker is an asst research professor at Oregon State University in Portland)
https://github.com/bbarker505/CASCADIA_R_Intro_to_GIS_2025

Is it possible to have an Antarctic-centered Peirce Quincuncial projection with #Rstats? #rspatial

North pole: "+proj=peirce_q +lon_0=25 +shape=square"
South Pole: ?

Ooh CNN-based cloud masking baked right into a VRT file. This should be fun! #rstats #rspatial #gdal #python

This is using https://github.com/DPIRD-DMA/OmniCloudMask and appears to be a massive improvement on the standard Sentinel 2A SCL band!

I should start collecting all the ways in which #RSpatial can go wrong spectacularly.