应用CF与Logistic回归模型编制滑坡危险性区划图.PDF

40 4 () Vol.40 No .4 2009 8 Journal of Central South University (Science and Technology) Aug. 2009 CF Logistic 1, 2 1 1 (1. 410083 2. 410075) (GIS)(CF)Logistic CF Logistic (GIS)SPSS ( )()GIS 4 CF Logistic Logistic P642.22 A 1672−7207(2009)04−1127−06 Landslides susceptibility mapped with CF and Logistic regression model 1, 2 1 1 WANG Wei-dong , CHEN Yan-ping , ZHONG Sheng (1. School of Business, Central South University, Changsha 410083, China; 2. School of Civil and Architectural Engineering, Central South University, Changsha 410075, China) Abstract: The landslides susceptibility mapped in Guizhou Province was established through integrating a certainty factor (CF) and the Logistic regression model based on geology information system (GIS). The procedures were as follows: Firstly, the key factors were selected according to CF deduced from the area of landslides inventory and the area of factors subclasses. Secondly, the most appropriate model was selected to describe the relationship between hazards (dependents) and the key factors (independents) using the Logistic regression model, GIS spatial analysis tools and SPSS. Thirdly, the landslide probability was calculated, the dangerous levels were divided and landslides susceptibility map was established. Finally, the susceptibility map was verified by the distribution of landslide in