基于ESDA-GIS的贵州省乌江流域经济差异时空格局  

Spatial Temporal Pattern of Economic Disparity in Wujiang Basin of Guizhou Province Based on ESDA-GIS

作　　者：李玉红 蔡振饶 程东亚 LI Yuhong;CAI Zhenrao;CHENG Dongya(School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China)

机构地区：[1]贵州师范大学地理与环境科学学院

出　　处：《湖北文理学院学报》2019年第5期10-15,共6页Journal of Hubei University of Arts and Science

基　　金：国家自然科学基金项目(41261039)

摘　　要：选取贵州省乌江流域2000-2017年人均GDP数据,利用GIS与GeoDA分析贵州省乌江流域经济发展水平空间分异特征.研究发现:从总体分布格局看,18个年份中,空间自相关系数Moran's I均大于0,呈上升趋势,说明流域各县域的空间自相关性不断上升,经济发展的有序性逐渐增强;从局部空间格局看,各县域经济发展差异在缩小,"高-高"集聚区主要集中在流域中游的贵阳部分县区,"低-低"集聚区主要分布在流域中的遵义和铜仁的部分县区.同时,探讨了流域内经济差异的变动原因.目的在于为促进贵州省乌江流域经济协调发展提供参考依据.The 2000-2017 years' per capita GDP data of Wujiang basin in Guizhou Province were selected and the spatial differentiation characteristics of the economic development level of Wujiang basin in Guizhou Province were analyzed with the help of GIS and GeoDA. The results show that, in the overall distribution pattern, the spatial autocorrelation coefficient Moran's I is more than 0 in the 18 years, and it shows an upward trend, indicating that the spatial autocorrelation of each county is rising, the order of economic development is gradually increasing, and the disorder is gradually weakening;from the view of the local spatial pattern, the economy of each county is sent. The difference is narrowing. The "high-high" agglomeration area is mainly concentrated in some counties of Guiyang in the middle reaches of the river basin. The "low-low" agglomeration areas are mainly distributed in the Zunyi and some counties of Tongren. Finally, the reasons for the economic discrepancy in the watershed are analyzed, so as to provide reference for promoting the coordinated development of Wujiang basin economy in Guizhou Province.

关 键 词：空间自相关 空间分异 经济发展差异 贵州省乌江流域 

分 类 号：F127[经济管理—世界经济]