GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

The main purpose of this paper is to explore some potential applications of sophisticated machine learning techniques such as the kernel logistic regression, Naïve-Bayes tree and alternating decision tree models for landslide susceptibility analysis at Taibai county (China). Initially, a landslide i...

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Bibliographic Details
Main Authors: Wei Chen, Xiaoshen Xie, Jianbing Peng, Jiale Wang, Zhao Duan, Haoyuan Hong
Format: Article
Language:English
Published: Taylor & Francis Group 2017-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
landslide susceptibility
kernel logistic regression
naïve-bayes tree
alternating decision tree
china
Online Access:http://dx.doi.org/10.1080/19475705.2017.1289250

Internet

http://dx.doi.org/10.1080/19475705.2017.1289250

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