A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping
Author:
Funder
National Science Foundation of China
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
http://www.tandfonline.com/doi/pdf/10.1080/10106049.2016.1140824
Reference70 articles.
1. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
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3. Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: A case study in Saeen Slope, Azerbaijan province, Iran
4. Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
5. Application of an evidential belief function model in landslide susceptibility mapping
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