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Spatial prediction of shallow landslides using statistical and machine learning models (case study: Sarkhoon watershed)

Zahra Barati; Ebrahim Omidvar; Ataollah Shirzadi

Volume 71, Issue 4 , March 2019, , Pages 869-884

https://doi.org/10.22059/jrwm.2018.268247.1314

Abstract
  Landslide susceptibility mapping is considered as the first important step in landslide risk assessment. The main purpose of this study is to compare the performance of a machine learning algorithm (a logistic model tree), and a statistical model (a logistic regression), for landslide susceptibility ...  Read More