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http://dx.doi.org/10.11108/kagis.2011.14.4.116

Evaluation and Analysis of Gwangwon-do Landslide Susceptibility Using Logistic Regression  

Yeon, Young-Kwang (Geological Research Division, Korea Institute of Geoscience and Mineral Resources)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.14, no.4, 2011 , pp. 116-127 More about this Journal
Abstract
This study conducted landslide susceptibility analysis using logistic regression. The performance of prediction model needs to be evaluated considering two aspects such as a goodness of fit and a prediction accuracy. Thus to gain more objective prediction results in this study, the prediction performance of the applied model was evaluated considering two such evaluation aspects. The selected study area is located between Inje-eup and Buk-myeon in the middle of Kwangwon. Landslides in the study area were caused by heavy rain in 2006. Landslide causal factors were extracted from topographic map, forest map and soil map. The evaluation of prediction model was assessed based on the area under the curve of the cumulative gain chart. From the results of experiments, 87.9% in the goodness of fit and 84.8% in the cross validation were evaluated, showing good prediction accuracies and not big difference between the results of the two evaluation methods. The results can be interpreted in terms of the use of environmental factors which are highly related to landslide occurrences and the accuracy of the prediction model.
Keywords
Landslides; Logistic Regression; Cross Validation; Model Evaluation;
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