NDLI: Regional landslide susceptibility assessment based on Bivariate statistical analysis and application

Content Provider	IEEE Xplore Digital Library
Author	Jiacun Li Jin Wen Wenhua Zeng
Copyright Year	2010
Description	Author affiliation: Zhejiang Academy of Surveying&Mapping, 83, Baochu N.Rd., Hangzhou, China (Wenhua Zeng) \|\| College of Resource Environment &Tourism, Key Lab of 3D Information Acquisition and Application, Ministry of Education, Beijing, China (Jiacun Li; Jin Wen)
Abstract	The statistic analysis mothed is used to analyze the region landlside susceptibility in landslide hazard analysis. In the mothod, landslide invetntory and the data of enviromental factors which induce landslides are essential. The Cameron Highlands of Malaysia was selected as the experimental studying area. Based on GIS and the Bivariate statistical analysis mothod, the relationships among landslides and environmental factors were analyzed. Then, Probability Index Model and Distance Evaluation Model were developed. The comparison and assessment of two models show that they have higher prediction precision and universality. The effect of Distance Evaluation Model is better than that of Probability Index Model.
Starting Page	6796
Ending Page	6799
File Size	499362
Page Count	4
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5689485
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GIS Region Landslide Susceptibility Assessment Geographic Information Systems Statistical analysis Geology Bivariate Statistical Analysis Probability Terrain factors Hazards Indexes Statistic Model Cameron Highlands
Content Type	Text
Resource Type	Article

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