🌍 Blog series: Spatial Machine Learning with R

From caret to tidymodels, mlr3, and specialized spatial ML packages — explore how spatial context changes the way we build ML models in R.

Start with Part 1 👉 geocompx.org/post/2025/sm...

#RStats #SpatialML #MachineLearning #RSpatial

🚀 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/

#spatialml #rspatial #machinelearning

🌍 Blog series: Spatial Machine Learning with R

From caret to tidymodels, mlr3, and specialized spatial ML packages — explore how spatial context changes the way we build ML models in R.

Start with Part 1 👉 https://geocompx.org/post/2025/sml-bp1/

#rstats #spatialml #machinelearning #rspatial

CRAN updates: iprior lctools munsell plm SpatialAcc SpatialML textshape #rstats

🚨 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/

#rstats #spatialml #rspatial

Want to showcase your work on #MachineLearning in #Geography? 🌍

Submit to Erdkunde's Special Issue: Machine Learning in Geography – Challenges & Perspectives.

🔗 More info: https://buff.ly/3VLlPGq

#ml #spatialml #gischat

New blog post by Jan Linnenbrink: Spatial machine learning with caret 📍

Using `caret` to predict air temperature in Spain with spatial data, addressing autocorrelation and extrapolation with `blockCV` and `CAST`.

Read here: geocompx.org/post/2025/sm...

#rstats #SpatialML #rspatial

Thanks, Andrei. I just tried it on the provided example and its seems limited in the same way as the SpatialML package: it works on small data, but does not seem to be suitable for larger (raster) data problems I usually work on. Or maybe I am missing something?

🚨 Final part of our Spatial ML with R series ! 🚨

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

URL: geocompx.org/post/2025/sm...

#rstats #SpatialML #rspatial

New blog post by Jan Linnenbrink: Spatial machine learning with caret 📍

Using `caret` to predict air temperature in Spain with spatial data, addressing autocorrelation and extrapolation with `blockCV` and `CAST`.

Read here: https://geocompx.org/post/2025/sml-bp2/

#rstats #spatialml #rspatial

Updates on CRAN: iprior (0.7.4), lctools (0.2-10), MatchThem (1.2.1), MicrobiomeStat (1.2), munsell (0.5.1), nonlinearTseries (0.3.0), plm (2.6-4), SpatialAcc (0.1-5), SpatialML (0.1.7), textshape (1.7.5)

It’s been 8 months since I started my MSCA-PF fellowship 🇩🇪

Read the latest blog post for updates on research, collaborations, and life in Münster.

URL: jakubnowosad.com/posts/2025-0...

#MSCA #SpatialML #SpatialPatterns #GISchat

My PhD student Ebby Samson (jointly supervised by Wayne Luk) now has a seminar "Exploring FPGA designs for MX and beyond" as part of the SpatialML seminar series, now at www.youtube.com/watch?v=-AKQ.... Thanks to Andrew Boutros for hosting!

🚀 Last week, we hosted "Advances in Spatial Machine Learning 2025", a two-day workshop tackling open challenges in the field.

From validation to uncertainty analysis, we explored key topics with top researchers.

Now, we're working on synthesizing outcomes—stay tuned!

#SpatialML #GISchat

🚀 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: geocompx.org/post/2025/sm...

#SpatialML #RSpatial #MachineLearning

this week in #rstats 🕺
- spatialML pkgs 🌐 @jakubnowosad.com
- {futureverse} 🔮 @henrikbengtsson.bsky.social
- file-opening code 📂 @masalmon.eu
- {mirai} 🚅 @shikokuchuo.net
- Quarto speaker notes 🗣️ @rfortherestofus.com

this and more below! 🔥

#news #quarto #data

www.linkedin.com/pulse/week-r...

Want to showcase your work on #machinelearning in #geography? 🌍

Submit to Erdkunde's Special Issue: Machine Learning in Geography – Challenges & Perspectives.

🔗 More info: https://buff.ly/3VLlPGq

#ml #spatialml #gischat