Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

• 主要な著者: Hong, Haoyuan, Shahabi, Himan, Shirzadi, Ataollah, Chen, Wei, Chapi, Kamran, Ahmad, Baharin, Roodposhti, Majid Shadman, Hesar, Arastoo Yari, Tian, Yingying, Dieu, Tien Bui
• フォーマット: 論文
• 出版事項: Springer Netherlands 2019
• 主題: NA Architecture
• オンライン･アクセス: http://eprints.utm.my/id/eprint/87566/; http://dx.doi.org/10.1007/s11069-018-3536-0

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 entropy (IOE), weighted linear combination (WLC)] and machine learning [support vector machine (SVM)] models for estimat...