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...

全面介绍

Saved in:
书目详细资料
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.
格式: Article
语言:English
出版: MDPI AG 2018
主题:
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
标签: 添加标签
没有标签, 成为第一个标记此记录!

相似书籍