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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) <arXiv:2101.08258>.
Getting started
Browse package contents
Package details |
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| Author | Ethan Ancell [aut, cre] |
| Maintainer | Ethan Ancell <ethanancell@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.4.5 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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