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Landslide susceptibility assessment at the Wuning area,China: a comparison between multi-criteria decision making,bivariate statistical and machine learning methods
Authors:Hong  Haoyuan  Shahabi  Himan  Shirzadi  Ataollah  Chen  Wei  Chapi  Kamran  Ahmad  Baharin Bin  Roodposhti  Majid Shadman  Yari Hesar  Arastoo  Tian  Yingying  Tien Bui  Dieu
Institution:1.Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing, 210023, People’s Republic of China
;2.State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing, 210023, People’s Republic of China
;3.Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, 210023, Jiangsu, People’s Republic of China
;4.Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
;5.Department of Rangeland and Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
;6.College of Geology and Environment, Xi’an University of Science and Technology, Xi’an, 710054, Shaanxi, People’s Republic of China
;7.Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia
;8.Discipline of Geography and Spatial Sciences, School of Land and Food, University of Tasmania, Churchill Ave, Hobart, TAS, 7005, Australia
;9.Department of Geography, University of Mohaghegh Ardabili, Ardabil, Iran
;10.Jiangxi Provincial Meteorological Observatory, Jiangxi Meteorological Bureau, No. 109 ShengfuBeier Road, Nanchang, 330046, People’s Republic of China
;11.Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;12.Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
;
Abstract:Natural Hazards - The aim of this research is to investigate multi-criteria decision making spatial multi-criteria evaluation (SMCE)], bivariate statistical methods frequency ratio (FR), index of...
Keywords:
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