autocart: 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) <doi:10.48550/arXiv.2101.08258>.

Version: 1.4.5
Depends: fields, mgcv
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat, knitr, rmarkdown
Published: 2021-05-27
DOI: 10.32614/CRAN.package.autocart
Author: Ethan Ancell [aut, cre]
Maintainer: Ethan Ancell <ethanancell at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: autocart results [issues need fixing before 2024-06-20]


Reference manual: autocart.pdf
Vignettes: Introduction to the autocart package


Package source: autocart_1.4.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): autocart_1.4.5.tgz, r-oldrel (arm64): autocart_1.4.5.tgz, r-release (x86_64): autocart_1.4.5.tgz, r-oldrel (x86_64): autocart_1.4.5.tgz
Old sources: autocart archive


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