• 责任者：Wang Xincai (School of Geographical Sciences ; Southwest University ; Chongqing 400715 ; China) ; Xu Gang
• 刊名：The Chinese Journal of Geological Hazard and Control
• 出版年：2009
• 卷期：20(4)
• 关键词：聚类分析 ; cluster analysis ; 遗传算法 ; genetic algorithms ; 地质灾害 ; geologic hazards ; 重庆 ; Chongqing
• 页码：p.50-54，65
• 图表：1 illus., 2 tables, 7 refs.
• 分类号：1900
• issnNo：ISSN1003-8035
• isbnNo：CN11-2825/P

///The projection pursuit clustering Evaluation method (PPCE) based on Real coding Accelerating Genetic Algorithm(RAGA) provides a solution of projecting multi-dimensional data to one dimension. In this study, the authors use the new methods of RAGA and PPCE to analyze the regional geologic data which were obtained from Beibei Chongqing. It is drawn the conclusion that the high hazard grade areas mainly distribute along the Jialing River and the axis syncline of Beibei is a lower hazard area. Hazardous rocks are distributing in T₃x and J_2-3s sandstone areas; the landslides and debris flow break out in mudstone areas. The PPCE based on RAGA is an efficient approach in the field of geologic hazard analyzing and provides a new way for the researching of valley geological disasters. Method of interpolation features data from Points to polygon is an innovation for GIS applications.