Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine

Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine

It is significant to do landslide susceptibility assessment (LSA) accurately and efficiently using an appropriate model for landslide prediction and prevention. This article aims to compare the frequency ratio (FR) model with the support vector machine (SVM), for mapping the landslide susceptibility...

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Bibliographic Details
Main Authors: Faming Huang, Chi Yao, Weiping Liu, Yijing Li, Xiaowen Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Landslide susceptibility assessment
environmental factors
frequency ratio model
support vector machine
Online Access:http://dx.doi.org/10.1080/19475705.2018.1482963

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