A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
Haoyuan HongJiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, 210023, Jiangsu, ChinaJunzhi LiuJiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, 210023, Jiangsu, ChinaA‐Xing ZhuJiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, 210023, Jiangsu, ChinaHiman ShahabiDepartment of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranBinh Thai PhamDepartment of Geotechnical Engineering, University of Transport Technology, 54 Trieu Khuc, Thanh Xuan, Hanoi, VietnamWei ChenCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an, 710054, ChinaBiswajeet PradhanDepartment of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor Darul Ehsan, MalaysiaDieu Tien BuiGeographic Information System group, Department of Business and IT, University College of Southeast Norway, N-3800, Bøi Telemark, Norway
2017en
ABI
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