Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

2013 ◽  
Vol 69 (1) ◽  
pp. 749-779 ◽  
Author(s):  
H. R. Pourghasemi ◽  
H. R. Moradi ◽  
S. M. Fatemi Aghda
Keyword(s):  
Logistic Regression ◽  
Analytical Hierarchy Process ◽  
Landslide Susceptibility ◽  
Binary Logistic Regression ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Statistical Index ◽  
Hierarchy Process

scholarly journals Landslide Susceptibility Mapping Using Analytical Hierarchy Process, Statistical Index, Index of Enthropy, and Logistic Regression Approaches in the TinalahWatershed, Yogyakarta

2018 ◽  
Vol 2 (2) ◽  
pp. 67
Author(s):  
Tee Xiong ◽  
I Gde Budi Indrawan ◽  
Doni Prakasa Eka Putra
Keyword(s):  
Logistic Regression ◽  
Analytical Hierarchy Process ◽  
Landslide Susceptibility ◽  
Roc Curves ◽  
Site Investigation ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Operating Characteristics ◽  
Statistical Index ◽  
Hierarchy Process

A number of approaches have been used inlandslide susceptibility mappingand there seems to be no agreement on which approach provides best prediction of landslide susceptibility. This study was conducted to develop landslide susceptibility mapsof the Tinalah watershed at a 1:25000 scale using analytical hierarchy process (AHP), statistical index (SI), index of entropy (IOE) and logistic regression (LR) approaches and to compare performance of those approaches in predicting landslide susceptibility. Out of 114 landslides identified during site investigation, 86 landslides were selected for landslide susceptibility analyses, while the remaining 28 landslides were used to verify the results. Factors controlling landslides considered in the landslide susceptibility mapping were slope inclination, lithology, distance to fault, land use, distance to river, and rainfall. Analyses of Receiver Operating Characteristics (ROC) curves showed that the AUC values of the landslide susceptibility maps derived using AHP, SI, IOE and LR approaches were 0.784, 0.688, 0.827 and 0.834, respectively. The LR approach was concluded to perform the best in predicting landslide susceptibility in the study area.

Sign in / Sign up

Export Citation Format

Share Document