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| Content Provider | Springer Nature Link |
|---|---|
| Author | Park, Wook |
| Copyright Year | 2010 |
| Abstract | GIS-based spatial data integration tasks for predictive geological applications, such as landslide susceptibility analysis, have been regarded as one of the primary geological application issues of GIS. An efficient framework for proper representation and integration is required for this kind of application. This paper presents a data integration framework based on the Dempster-Shafer theory of evidence for landslide susceptibility mapping with multiple geospatial data. A data-driven information representation approach based on spatial association between known landslide occurrences and input geospatial data layers is used to assign mass functions. After defining mass functions for multiple geospatial data layers, Dempster’s rule of combination is applied to obtain a series of combined mass functions. Landslide susceptibility mapping using multiple geospatial data sets from Jangheung in Korea was conducted to illustrate the application of this methodology. The results of the case study indicated that the proposed methodology efficiently represented and integrated multiple data sets and showed better prediction capability than that of a traditional logistic regression model. |
| Starting Page | 367 |
| Ending Page | 376 |
| Page Count | 10 |
| File Format | |
| ISSN | 18666280 |
| Journal | Environmental Earth Sciences |
| Volume Number | 62 |
| Issue Number | 2 |
| e-ISSN | 18666299 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-04-14 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Landslide Dempster-Shafer theory of evidence GIS Jangheung Geology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology |
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