Jakub Nowosad wraps up a series:
This document provides an overview of two R packages, sperrorest and blockCV, that can be used for spatial cross validation, but are outside of standard machine learning frameworks like caret, tidymodels, or mlr3.
All of the examples below use the same dataset, which includes the temperature measurements in Spain, a set of covariates, and the spatial coordinates of the temperature measurements.
Click through for a pair of cross-validation packages, as well as a link to the rest of the series. H/T R-Bloggers.