Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:M1-6
Session:
Number:M1-6-2
Landslide-dammed Mapping and Logistic Regression Modeling Using GIS and R Statistical Software in The Northeast of Afghanistan
Mohammad Kazem Naseri, Dongshik Kang ,
pp.85-88
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this paper, we accomplished a logistic regression modeling to map and predict the probability of occurrences of lakes by landslides initiation. 361 lakes were mapped in the area. Simultaneously, 361 lakes point locations, 361 non-lakes location points were used for the model validation. Independent variables are mostly contributing for landslides lakes happening are a slope, distance to water sources, and relief. The result is a grid map that shows independent variables which are how statistically significant to the model.