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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.8.2 |
rolling linux/jammy R-4.5 | SpatialML_1.8.2.tar.gz |
115.8 KiB |
1.8.2 |
rolling linux/noble R-4.5 | SpatialML_1.8.2.tar.gz |
115.7 KiB |
1.8.2 |
rolling source/ R- | SpatialML_1.8.2.tar.gz |
57.7 KiB |
1.8.2 |
latest linux/jammy R-4.5 | SpatialML_1.8.2.tar.gz |
115.8 KiB |
1.8.2 |
latest linux/noble R-4.5 | SpatialML_1.8.2.tar.gz |
115.7 KiB |
1.8.2 |
latest source/ R- | SpatialML_1.8.2.tar.gz |
57.7 KiB |
1.8.2 |
2026-04-23 source/ R- | SpatialML_1.8.2.tar.gz |
0 B |
0.1.7 |
2025-04-20 source/ R- | SpatialML_0.1.7.tar.gz |
26.4 KiB |