Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

• Main Authors: Chen, Wei, Zhao, Xia, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Khabat, Chai, Huichan, Zhang, Shuai, Zhang, Lingyu, Ma, Jianquan, Chen, Yingtao, Wang, Xiaojing, Ahmad, Baharin, Li, Renwei
• Format: Article
• Published: Taylor and Francis Ltd. 2019
• Subjects: TH434-437 Quantity surveying
• Online Access: http://eprints.utm.my/id/eprint/88728/; http://dx.doi.org/10.1080/10106049.2019.1588393

In this study, we introduced novel hybrid of evidence believe function (EBF) with logistic regression (EBF-LR) and logistic model tree (EBF-LMT) for landslide susceptibility modelling. Fourteen conditioning factors were selected, including slope aspect, elevation, slope angle, profile curvature, pla...