Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models

Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models

The main purpose of this study was to produce landslide susceptibility maps using evidential belief function (EBF), logistic regression (LR) and support vector machine (SVM) models and to compare their results for the region surrounding Yongin, South Korea. We compiled a landslide inventory map of 8...

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Bibliographic Details
Main Authors: Hyun-Joo Oh, Prima Riza Kadavi, Chang-Wook Lee, Saro Lee
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Area under the curve
evidential belief function model
landslide susceptibility
logistic regression
support vector machine model
Online Access:http://dx.doi.org/10.1080/19475705.2018.1481147

Internet

http://dx.doi.org/10.1080/19475705.2018.1481147

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