A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at ?zmir, Turkey |
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Authors: | Aykut Akgun |
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Institution: | (1) Geological Engineering Department, Karadeniz Technical University, Trabzon, Turkey |
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Abstract: | The main purpose of this study is to compare the use of logistic regression, multi-criteria decision analysis, and a likelihood
ratio model to map landslide susceptibility in and around the city of İzmir in western Turkey. Parameters, such as lithology,
slope gradient, slope aspect, faults, drainage lines, and roads, were considered. Landslide susceptibility maps were produced
using each of the three methods and then compared and validated. Before the modeling and validation, the observed landslides
were separated into two groups. The first group was for training, and the other group was for validation steps. The accuracy
of models was measured by fitting them to a validation set of observed landslides. For validation process, the area under
curvature (AUC) approach was applied. According to the AUC values of 0.810, 0.764, and 0.710 for logistic regression, likelihood
ratio, and multi-criteria decision analysis, respectively, logistic regression was determined to be the most accurate method
among the other used landslide susceptibility mapping methods. Based on these results, logistic regression and likelihood
ratio models can be used to mitigate hazards related to landslides and to aid in land-use planning. |
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Keywords: | |
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