基于GeoDA-GIS的四川省县域经济空间分异研究  

STUDY ON COUNTY ECONOMIC SPATIAL DISPARITY BASED ON GEODA-GIS IN SICHUAN PROVINCE

作　　者：曾永明[1,2] 张果[1,2] 

机构地区：[1]四川师范大学西南土地资源评价与监测教育部重点实验室,四川成都610066 [2]四川师范大学地理与资源科学学院,四川成都610101

出　　处：《云南地理环境研究》2010年第4期52-58,76,共8页Yunnan Geographic Environment Research

基　　金：四川省哲学社会科学规划研究项目(SC08C026);四川省教育厅自然科学重点项目(2006A073)

摘　　要：选取14项经济指标,构建一个充分反映县域经济发展水平的指标体系,采用因子分析法,结合探索性空间数据分析(ESDA)方法与GIS、GeoDA空间分析工具,得出四川县域经济发展水平的差异性及空间分异特征。结果表明,四川省181个县域单元的经济差异较大,总体上,经济发达县域处于川东盆地区,经济落后县域分布于川西高原区;全局自相关特征明显,全局Moran s I指数达0.634 4,县域经济发展水平存在显著的空间集聚特征;局部空间自相关分析和Moran聚集图、LISA聚集图更具体、直观地显示了县域经济空间集聚位置和分布特征,进一步揭示了四川县域经济发展的热区和盲区。Constructed an index system with 14 indexes which can reflect county economic level adequately, than using the factor analysis method, binding exploratory spatial data analysis method and GeoDA. GIS spatial analyzing technology, and getting the diversity of county economic level in Sichuan province and spatial diversity characteristic. Empirical results show that 181 counties of Sichuan is great in economic difference, the overall characteristic is that developed counties distributing eastern Sichuan basin and developing counties distributing western Sichuan plateau; Global autocorrelation feature is obvious for the global Moran＇s I is 0. 6344, which indicates that spatial cluster is significant in counties＇ economic level; Analysis on local autocorrelation and Moran cluster map, LISA cluster map indicates the regional economic characteristics of spatial cluster local and distribution specifically and intuitively, which reveals counties＇ economic hot spot and blind spot deeply of Sichuan province.

关 键 词：县域经济分异 ESDA 因子分析法 空间自相关 四川省 

分 类 号：F127[经济管理—世界经济]