Statistical Approaches for Landslide Susceptibility Assessment and Prediction

1. Concept on Landslides and Landslide Susceptibility 2. Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability 3. Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction 4. Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach 5. Artificial Neural Network (ANN) Model and Landslide Susceptibility 6. Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies 7. Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic 8. Comparison between Statistical Models: A Review and Evaluation Index