SpatialML (version 1.8.2)
Description
Implements a spatial extension of the random forest algorithm
(Georganos et al. (2019) ). Provides
a Geographically Weighted Random Forest regression and a routine to
find the optimal bandwidth (Georganos and Kalogirou (2022)
). 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.