Abstract In this paper, we introduce the geographically weighted regression (GWR) into the spatial scale segmentation method of the study area, the particle swarm optimization (PSO) algorithm to optimize the parameters of support vector machine (SVM) model, and finally construct the GWR-PSO-SVM coupling model. In addition, the traditional PSO-SVM coupling model is constructed to compare with the new method. The results show that in the specific category accuracy analysis, the overall prediction accuracy analysis and the area under the curve analysis, the evaluation results of this method are better than the traditional methods.
YU Xianyu,XIONG Shili. Landslide Susceptibility Assessment Based on Spatial Multi-Scale Analysis:A Case Study of Zigui to Badong in the Three Gorges Reservoir Area[J]. jgg, 2020, 40(2): 187-192.
YU Xianyu,XIONG Shili. Landslide Susceptibility Assessment Based on Spatial Multi-Scale Analysis:A Case Study of Zigui to Badong in the Three Gorges Reservoir Area[J]. jgg, 2020, 40(2): 187-192.