Gis-based analytical hierarchy process, weight of evidence and logistic regression models for the landslide susceptibility predicting in Echorfa Region (northwestern of Algeria)

The main objective of this study is destined to combine the Analytical Hierarchy Process (AHP), Weight Evidence (WOE), Logistic Regression (LR) methods and geographic information system (GIS) predict landslide susceptibility Echorfa region (northwestern Algeria). Nine factors such as slope, aspect, lithology, distance faults, lineaments density, streams, precipitations, land use altitude are included in evaluation process. A detailed inventory map established by satellite images filed surveys. Three maps using different statistical models. Five categories generated GSI classification nil, low, moderate, high very susceptibility. performance models calculate based area under curve Receiver Operating Characteristic (ROC) which give a satisfactory result, results showed that weight evidence method more than two other techniques. produced provide important spatial about prone area, where constructed map’s content will help decision makers planning.