SpatialML: Spatial Machine Learning
Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Provides a Geographically Weighted Random Forest regression and a routine to find the optimal bandwidth (Georganos and Kalogirou (2022) <doi:10.3390/ijgi11090471>). A lightweight cross-validation helper for tuning the 'mtry' parameter of a random forest and a generator of synthetic spatial test data are also included. The package depends on 'ranger' as its single random-forest back-end.
| Version: | 1.8.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ranger (≥ 0.15.1), stats, graphics, utils |
| Suggests: | knitr, markdown, testthat (≥ 3.0.0) |
| Published: | 2026-07-06 |
| DOI: | 10.32614/CRAN.package.SpatialML |
| Author: | Stamatis Kalogirou
 [aut, cre,
cph],
Stefanos Georganos [aut] |
| Maintainer: | Stamatis Kalogirou <stamatis.science at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://stamatisgeoai.eu/ |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | NEWS |
| CRAN checks: | SpatialML results |
Documentation:
| Reference manual: | SpatialML.html , SpatialML.pdf |
| Vignettes: |
Geographically Weighted Random Forest with SpatialML (source, R code) |
Downloads:
| Package source: | SpatialML_1.8.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): SpatialML_1.8.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | SpatialML archive |
Linking:
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