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Newer classification and regression tree techniques: Bagging and Random Forests for ecological prediction

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Prasad, Anantha M.; Iverson, Louis R.; Liaw, Andy; Liaw, Andy

Year Published

2006

Publication

Ecosystems. (9): 181-199.

Abstract

We evaluated four statistical models - Regression Tree Analysis (RTA), Bagging Trees (BT), Random Forests (RF), and Multivariate Adaptive Regression Splines (MARS) - for predictive vegetation mapping under current and future climate scenarios according to the Canadian Climate Centre global circulation model.

Keywords

predictive mapping; data mining; classification and regression trees (CART); Regression Tree Analysis (RTA); decision tree; Multivariate Adaptive Regression Splines (MARS); Bagging Trees; Random Forests; Kappa; fuzzy Kappa; Canadian Climate Centre (CCC); global circulation model (GCM); eastern United State

Citation

Prasad, Anantha M.; Iverson, Louis R.; Liaw, Andy. 2006. Newer classification and regression tree techniques: Bagging and Random Forests for ecological prediction. Ecosystems. (9): 181-199.

Last updated on: May 18, 2007