GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

• Published in: Catena (Giessen) Vol. 196; p. 104833
• Main Authors: Chen, Xi, Chen, Wei
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2021
• Subjects: catenas; China; data collection; decision making; Geographic information system; Hybrid models; inventories; Kernel functions; Kernel logistic regression; Landslide; landslides; prediction; regression analysis; rivers; China; Landslide; Kernel logistic regression; Kernel functions; Hybrid models; Geographic information system

•Landslide modeling use optimized KLR with different kernel functions.•Optimization of factors using FR analysis and multicollinearity analysis.•Comparison of landslide susceptibility maps to reveal difference affected by factors. Globally, but especially in China, landslides are considered to be on...