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(Article of periodic en Anglais - 2012)

Document title

Predicting gully initiation : comparing data mining techniques, analytical hierarchy processes and the topographic threshold

Authors(s) and Affiliation(s)

SVORAY T. (1) ; MICHAILOV E. (2) ; COHEN A. (2) ; ROKAH L. (2) ; STURM A. (2) ;
(1) Dep. of Geography and Environmental Development, Ben Gurion Univ. of the Negev, Beer Sheva, ISRAEL
(2) Dep. of Information Systems Engineering, Ben-Gurion Univ. of the Negev, Beer-Sheva, ISRAEL

Abstract

In this work, a data mining (DM) procedure based on decision trees was applied to identify areas of gully initiation risk. Performance was compared with the analytic hierarchy process (AHP) expert system and with the commonly used topographic threshold (TT) technique. A spatial database was used to test the models, composed of a target variable (presence or absence of initial points) and ten independent environmental, climatic and human-induced variables. The following findings emerged : using the same input layers, DM provided better predictive ability of gully initiation points than the application of both AHP and TT. The main difference between DM and TT was the very high overestimation inherent in TT. The study area is the Yehezkel catchment in northern Israel

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2012, vol. 37, no6 [pp. 607-619]

Bibliographic references : 64 ref.

Collation : 12 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.2273

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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