A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS

• Published in: Environmental earth sciences Vol. 75; no. 10; pp. 1 - 16
• Main Authors: Chen, Tao, Niu, Ruiqing, Jia, Xiuping
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2016; Springer Nature B.V
• Subjects: Aerial photography; anthropogenic activities; Anthropogenic factors; Biogeosciences; Canyons; China; climate; Earth and Environmental Science; Earth Sciences; Environmental Research of the Three Gorges Reservoir; Environmental Science and Engineering; Extreme weather; Geochemistry; geographic information systems; Geology; Hydrology/Water Resources; inventories; Landslides; Landslides & mudslides; Lithology; Mapping; prediction; Predictions; rain; Regression analysis; Reservoirs; surveys; Terrestrial Pollution; Thematic Issue; Vegetation cover; Water levels; Zigui China; China; Yangtze River; China, People's Rep., Sichuan Prov., Changjiang R., Three Gorges Dam; China, People's Rep; GIS; Logistic regression; Landslide susceptibility models; The Three Gorges Reservoir; Information value model

This study investigates the application of information value (InV) and logistic regression (LR) models for producing landslide susceptibility maps (LSMs) of the Zigui–Badong area near the Three Gorges Reservoir in China. This area is subject to anthropogenic influences because the reservoir’s water...