Improving autologistic regression method in the research on the application of landslide sensitivity evaluation

This article chooses Beichuan county and the surrounding area for research area with finishing landslides distribution map by remote sensing interpretation and field investigation.Firstly,six evaluation factors were selected,including slop,aspect,elevation,curvature,river system influence are,fault influence,for landslide sensitivity evaluation by an improving autologistic regression model in ArcGIS platform.This paper also completes the landslide susceptibility and Statistical analysis of possible appearance of the current landslides.The results shows the sensitivity of the susceptibility is reasonable.