首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GeoDA-GIS的四川省县域经济空间分异研究
引用本文:曾永明,张果.基于GeoDA-GIS的四川省县域经济空间分异研究[J].云南地理环境研究,2010,22(4):52-58,76.
作者姓名:曾永明  张果
作者单位: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;四川师范大学,地理与资源科学学院,四川,成都,610101
基金项目:四川省哲学社会科学规划研究项目,四川省教育厅自然科学重点项目 
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。

关 键 词:县域经济分异  ESDA  因子分析法  空间自相关  四川省

STUDY ON COUNTY ECONOMIC SPATIAL DISPARITY BASED ON GEODA-GIS IN SICHUAN PROVINCE
ZENG Yong-ming,ZHANG Guo.STUDY ON COUNTY ECONOMIC SPATIAL DISPARITY BASED ON GEODA-GIS IN SICHUAN PROVINCE[J].Yunnan Geographic Environment Research,2010,22(4):52-58,76.
Authors:ZENG Yong-ming  ZHANG Guo
Institution:1. Key Laboratory of Land Resources Evaluation and Monitoring in Southwest ( Sichuan Normal University), Ministry of Education, Chengdu 610066, Sichuan, China; 2. Geography and Resources Science College, Sichuan Normal University, Chengdu 610066, Sichuan, China)
Abstract: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.
Keywords:ESDA
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号