Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Statistical Approaches for Landslide Susceptibility Assessment and Prediction by Sujit Mandal, Subrata Mondal.

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 (...

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Bibliographic Details
Main Authors: Mandal, Sujit (Author), Mondal, Subrata (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Springer eBook Collection.
Subjects:
Natural disasters.
Statistics .
Physical geography.
Hydrogeology.
Geoecology.
Environmental geology.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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