Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Link
http://link.springer.com/article/10.1007/s10346-017-0906-8/fulltext.html
Reference57 articles.
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2. Althuwaynee OF, Pradhan B, Park HJ, Lee JH (2014b) A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. CATENA 114:21–36
3. Anderson MG and Lloyd DM (1991) Using a combined slope hydrology-stability model to develop cut slope design charts. In Proceedings of the Institution of Civil Engineers, PART 2 (Vol. 91)
4. Arnone E, Francipane A, Scarbaci A, Puglisi C, Noto LV (2016) Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping. Environ Model Softw 84:467–481
5. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65(1):15–31
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