A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea
In this study, the support vector machine (SVM) was applied and validated by using the geographic information system (GIS) in order to map landslide susceptibility. In order to test the usefulness and effectiveness of the SVM, two study areas were carefully selected: the PyeongChang and Inje areas o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-01-01
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| Series: | Sustainability |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2071-1050/9/1/48 |