Evaluation of Landslide Susceptibility Based on Spatial Logistic Regression Model
Landslide is one of the most frequent and harmful geological disasters in mountainous and hilly areas.It is necessary to conduct landslide susceptibility assessment for people to assess land disasters and reduce landslide related losses.In the past few decades,many models have been developed for landslide assessment and susceptibility classification,but most of these models do not consider the spatial structure information of the data,and the prediction accuracy still needs to be improved.This study uses the random forest model to screen risk factor,and then uses Bayesian spatial logistic regression to model the post earthquake landslides in Lushan area,Ya′an,Sichuan,and compares the results with those of ordinary logistic regression modeling without considering spatial structure information.The AUC value of Bayesian spatial logistic regression is 0.931,which has increased by nearly 14%on the basis of traditional logistic regression,bringing new ideas for landslide susceptibility evaluation.
国家科技期刊平台
NSTL
万方数据
维普
