Fig 1.
Overview of the study area.
Table 1.
Landslide affecting factors and their classes.
Fig 2.
Different affecting factor layer.
Fig 3.
Workflow of the landslide susceptibility analysis.
Fig 4.
The structure of artificial neural network model.
Table 2.
The variance inflation factors and tolerances multicollinearity analyze of factors.
Fig 5.
Features sorted in the order of scores of information gain ratio.
Fig 6.
The ROC curves of ANN, SVM and IVM in the training and testing datasets.
Fig 7.
The Chitupi mine landslide estimated result in different models.
Fig 8.
Comparison of actual distribution of landslides with three estimated models.
Fig 9.
Percentage of each level mapping under different models, VL: Very low, L: Low, M: moderate, H: High.
Table 3.
The RPS and RPSS values of ANN and SVM.