SpatialML: Spatial Machine Learning

Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Allows for a geographically weighted random forest regression including a function to find the optical bandwidth. (Georganos and Kalogirou (2022) <>).

Version: 0.1.7
Depends: R (≥ 4.3.0), ranger (≥ 0.15.1), caret (≥ 6.0), randomForest (≥ 4.7)
Published: 2024-04-02
DOI: 10.32614/CRAN.package.SpatialML
Author: Stamatis Kalogirou [aut, cre], Stefanos Georganos [aut, ctb]
Maintainer: Stamatis Kalogirou < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SpatialML results


Reference manual: SpatialML.pdf


Package source: SpatialML_0.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SpatialML_0.1.7.tgz, r-oldrel (arm64): SpatialML_0.1.7.tgz, r-release (x86_64): SpatialML_0.1.7.tgz, r-oldrel (x86_64): SpatialML_0.1.7.tgz
Old sources: SpatialML archive


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