A modified version of the classification and regression tree (CART)
algorithm for modelling spatial data that features coordinate information.
Coordinate information can be used to evaluate measures of spatial
autocorrelation and spatial compactness during the splitting phase of the
tree, leading to better predictions and more physically realistic predictions
on these types of datasets. These methods are described in Ancell and Bean (2021)