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(Article of periodic en Anglais - 2011)

Document title

Utility of classification and regression tree analyses and vegetation in mountain permafrost models, Yukon, Canada

Authors(s) and Affiliation(s)

KREMER M. (1) ; LEWKOWICZ A.G. (1) ; BONNAVENTURE P.P. (1) ; SAWADA M.C. (1) ;
(1) Dep. of Geography, Univ., Ottawa, CANADA

Abstract

Classification and regression tree (CART) analyses were undertaken to test the usefulness of including vegetation variables in mountain permafrost distribution models for 5 widely spaced study areas in the Yukon. Digital elevation model (DEM)-derived variables, field-derived vegetation variables and satellite imagery-derived vegetation variables were employed individually to classify sites into permafrost probable, permafrost improbable and permafrost ‘uncertain’ categories. The vegetation variables were subsequently combined with the DEM-derived set to see if they could improve the latter's accuracy. CART analyses appear useful for predicting permafrost distribution because they can incorporate non-linear relationships between independent variables and the presence of permafrost

Source

Article of periodic

published at : Permafrost and periglacial processes / ISSN 1045-6740 / CODEN PEPPED

Editor : Wiley, Chichester - ROYAUME-UNI (1990)

Millesime : 2011, vol. 22, no2 [pp. 163-178]

Bibliographic references : 40 ref.

Collation : 11 fig., 6 tabl.

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/ppp.719

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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