Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Anantha M. PrasadLouis R. Iverson; Andy Liaw; Andy Liaw
    Date: 2006
    Source: Ecosystems. (9): 181-199.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (1.24 MB)

    Description

    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.

    Publication Notes

    • Check the Northern Research Station web site to request a printed copy of this publication.
    • Our on-line publications are scanned and captured using Adobe Acrobat.
    • During the capture process some typographical errors may occur.
    • Please contact Sharon Hobrla, shobrla@fs.fed.us if you notice any errors which make this publication unusable.
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    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.

    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

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/22432