A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Wei ChenCollege of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, ChinaXiaoshen XieCollege of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, ChinaJiale WangCollege of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, ChinaBiswajeet PradhanDepartment of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro Gwangjin-gu, Seoul, 05006, Republic of KoreaHaoyuan HongDieu Tien BuiGeographic Information System group, Department of Business Administration and Computer Science, University College of Southeast, Bø i Telemark N-3800, NorwayZhao DuanCollege of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, ChinaJianquan MaCollege of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, China
2016en
ABI
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