Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Spatial CART Classification Trees

Abstract : Based on links between partitions induced by CART classification trees and marked point processes, we propose a variant of spatial CART method, SpatCART, focusing on the two populations case. While usual CART tree considers marginal distribution of the response variable at each node, we propose to take into account the spatial location of the observations. We introduce a dissimilarity index based on Ripley's intertype K-function quantifying the interaction between two populations. This index used for the growing step of the CART strategy, leads to a heterogene-ity function consistent with the CART original algorithm. Then different pruning strategies, including the classical pruning step using the misclassification rate, are performed. The proposed procedure is implemented, illustrated on classical examples and compared to natural competitors. SpatCART is finally applied to a tropical forest example.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01837065
Contributor : Servane Gey <>
Submitted on : Tuesday, November 24, 2020 - 9:37:26 AM
Last modification on : Thursday, December 10, 2020 - 3:41:27 AM

File

Spatcart.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01837065, version 2

Citation

Avner Bar-Hen, Servane Gey, Jean-Michel Poggi. Spatial CART Classification Trees. 2020. ⟨hal-01837065v2⟩

Share

Metrics

Record views

32

Files downloads

124