Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Future updates include more local machine learning methods as well as a geographically weighted random forest.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.5.0), randomForest (≥ 4.6-14) |
| Published: | 2019-05-09 |
| Author: | Stamatis Kalogirou [aut, cre], Stefanos Georganos [aut, ctb] |
| Maintainer: | Stamatis Kalogirou <stamatis at lctools.science> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://lctools.science/ |
| NeedsCompilation: | no |
| CRAN checks: | SpatialML results |
| Reference manual: | SpatialML.pdf |
| Package source: | SpatialML_0.1.3.tar.gz |
| Windows binaries: | r-devel: SpatialML_0.1.3.zip, r-release: SpatialML_0.1.3.zip, r-oldrel: SpatialML_0.1.3.zip |
| macOS binaries: | r-release: SpatialML_0.1.3.tgz, r-oldrel: SpatialML_0.1.3.tgz |
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