Statistical Approaches for Landslide Susceptibility Assessment and Prediction
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Published By Springer International Publishing

9783319938967, 9783319938974

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Comparison Between Statistical Models: A Review and Evaluation

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_8 ◽

2018 ◽

pp. 181-189

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Statistical Models

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Logistic Regression (LR) Model and Landslide Susceptibility: A RS and GIS-Based Approach

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_4 ◽

2018 ◽

pp. 107-121

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Logistic Regression ◽

Landslide Susceptibility ◽

Rs And Gis

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Weighted Overlay Analysis (WOA) Model, Certainty Factor (CF) Model and Analytical Hierarchy Process (AHP) Model in Landslide Susceptibility Studies

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_6 ◽

2018 ◽

pp. 135-162 ◽

Cited By ~ 1

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Analytical Hierarchy Process ◽

Landslide Susceptibility ◽

Overlay Analysis ◽

Certainty Factor ◽

Weighted Overlay ◽

Ahp Model ◽

Weighted Overlay Analysis ◽

Hierarchy Process

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Concept on Landslides and Landslide Susceptibility

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_1 ◽

2018 ◽

pp. 1-39

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Landslide Susceptibility

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Artificial Neural Network (ANN) Model and Landslide Susceptibility

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_5 ◽

2018 ◽

pp. 123-133 ◽

Cited By ~ 2

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Landslide Susceptibility ◽

Ann Model ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Knowledge-Driven Statistical Approach for Landslide Susceptibility Assessment Using GIS and Fuzzy Logic (FL) Approach

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_7 ◽

2018 ◽

pp. 163-180

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Fuzzy Logic ◽

Landslide Susceptibility ◽

Statistical Approach ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment

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Frequency Ratio (FR) Model and Modified Information Value (MIV) Model in Landslide Susceptibility Assessment and Prediction

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_3 ◽

2018 ◽

pp. 77-105

Author(s):

Sujit Mandal ◽

Subrata Mondal

Keyword(s):

Landslide Susceptibility ◽

Frequency Ratio ◽

Information Value ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment

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Geomorphic, Geo-tectonic, and Hydrologic Attributes and Landslide Probability

Statistical Approaches for Landslide Susceptibility Assessment and Prediction ◽

10.1007/978-3-319-93897-4_2 ◽

2018 ◽

pp. 41-75

Author(s):

Sujit Mandal ◽

Subrata Mondal

Download Full-text

Statistical Approaches for Landslide Susceptibility Assessment and PredictionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Comparison Between Statistical Models: A Review and Evaluation

Logistic Regression (LR) Model and Landslide Susceptibility: A RS and GIS-Based Approach

Weighted Overlay Analysis (WOA) Model, Certainty Factor (CF) Model and Analytical Hierarchy Process (AHP) Model in Landslide Susceptibility Studies

Concept on Landslides and Landslide Susceptibility

Artificial Neural Network (ANN) Model and Landslide Susceptibility

Knowledge-Driven Statistical Approach for Landslide Susceptibility Assessment Using GIS and Fuzzy Logic (FL) Approach

Frequency Ratio (FR) Model and Modified Information Value (MIV) Model in Landslide Susceptibility Assessment and Prediction

Geomorphic, Geo-tectonic, and Hydrologic Attributes and Landslide Probability

Statistical Approaches for Landslide Susceptibility Assessment and Prediction
Latest Publications