Landslide susceptibility modeling based on GIS and novel bagging-based Kernel logistic regression
Landslides cause a considerable amount of damage around the world every year. Landslide susceptibility assessments are useful for the mitigation of the associated potential risks to local economic development, land use planning, and decision makers. The main aim of this study was to present a novel...
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Main Authors: | Chen, W., Shahabi, H., Zhang, S., Khosravi, K., Shirzadi, A., Chapi, K., Pham, B. T., Zhang, T., Zhang, L., Chai, H., Ma, J., Chen, Y., Wang, X., Li, R., Ahmad, B. B. |
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格式: | Article |
语言: | English |
出版: |
MDPI AG
2018
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在线阅读: | http://eprints.utm.my/id/eprint/79632/1/BaharinAhmad2018_LandslideSusceptibilityModelingbasedonGIS.pdf http://eprints.utm.my/id/eprint/79632/ http://dx.doi.org/10.3390/app8122540 |
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