河北地质大学学报2024，Vol.47Issue(1)：56-61,6.DOI:10.13937/j.cnki.hbdzdxxb.2024.01.008
基于空间逻辑回归模型的滑坡易发性评价
Evaluation of Landslide Susceptibility Based on Spatial Logistic Regression Model
摘要
Abstract
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.关键词
滑坡/贝叶斯/空间逻辑回归/风险制图/随机森林Key words
landslide/Bayesian/spatial logistic regression/risk mapping/random forest分类
天文与地球科学引用本文复制引用
郑雪,唐章英,宋超..基于空间逻辑回归模型的滑坡易发性评价[J].河北地质大学学报,2024,47(1):56-61,6.基金项目
国家自然科学基金面上项目(42071379). （42071379）
