Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

The main aim of this study was to compare the performances of the hybrid approaches of traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE-LR) and machine learning-based random forest (WoE-RF) for landslide susceptibility mapping. The performance of the three l...

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Bibliographic Details
Main Authors: Wei Chen, Zenghui Sun, Jichang Han
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
landslide
weights of evidence
logistic regression
random forest
hybrid model
Online Access:http://www.mdpi.com/2076-3417/9/1/171

Internet

http://www.mdpi.com/2076-3417/9/1/171

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