Autocorrelation Regression Trees

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) .


Reference manual

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1.4.5 by Ethan Ancell, 8 months ago

Browse source code at

Authors: Ethan Ancell [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, RcppParallel

Depends on fields, mgcv

Suggests testthat, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, RcppParallel

System requirements: GNU make

See at CRAN