Statistical Approaches for Landslide Susceptibility Assessment and Prediction

• Κύριοι συγγραφείς: Mandal, Sujit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mondal, Subrata (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Natural disasters.; Statistics .; Physical geography.; Hydrogeology.; Geoecology.; Environmental geology.; Natural Hazards.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Physical Geography.; Geoecology/Natural Processes.

This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (...

Πίνακας περιεχομένων:

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