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甘肃省区域经济空间差异的ESDA-GIS分析 被引量:89

Analysis of regional economic disparities in Gansu Province based on ESDA and GIS
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摘要 基于ESDA全局和局部空间自相关分析,在ArcView GIS软件和GeoDA空间统计分析软件的支持下,利用甘肃省2004年县域人均GDP数据,对甘肃省县域经济之间的总体和局部空间差异进行了实证分析.结果表明,甘肃省2004年总体上经济空间差异较大,经济重心与人口重心和几何中心均有较大偏移;全局Moran sI指数为0.391 1,空间自相关特性明显,经济发展水平相似的地区在空间上集中分布.在此基础上绘制了局域Moran sI散点图和LISA集聚图,并采用空间插值获得局域I值分异图. Based on the global and local spatial autocorrelation analyses of Exploratory Spatial Data Analysis(ESDA), it is investigated the spatial dynamics of regional disparities at the county level in Gansu Province by analyzing per capita GDP data in 2004, with the support of ArcView GIS and GeoDA software. Empirical results show that the center of population and GDP have a significant offset with the center of geometry. The overall county level spatial disparities of regional economy in Gansu Province is great in 2004, and the global Moran's Ⅰ is 0. 391 1, which indicates that there are significant positive spatial autocorrelation of per capita GDP in Gansu Province. That is, the relatively high(low) developed county tends to be located nearby other high (low)developed counties more often than expected due to random chance. Local Moran's Ⅰ scatter plots and LISA(Local Indicators of Spatial Association) cluster map have been used to test the local pattern of the Gansu economic development.
出处 《西北师范大学学报(自然科学版)》 CAS 2006年第6期83-87,91,共6页 Journal of Northwest Normal University(Natural Science)
基金 国家社会科学基金资助项目(04BSH027)
关键词 空间分析 区域经济差异 空间自相关 ESDA 甘肃省 spatial analysis regional economic disparity spatial autocorrelation ESDA Gansu Province
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