摘要
基于ESDA全局和局域空间自相关分析,在ArcView GIS软件和GeoDA空间统计分析软件的支持下,利用甘肃省1990～2006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时空格局规律进行了实证分析.结果表明:近16年来甘肃省县域经济空间差异在总体上呈现缩小趋势;局部空间差异缩小,河西和陇南所辖县域表现出与周边地区同步发展态势,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's I散点图和LISA集聚图,并采用空间插值获得局域,值分异图.研究表明:ESDA—GIS空间分析方法可以清楚地解释经济发展空间异质性问题,并且具有卣观的可视化效果.
By means of global and local spatial autocorrelation analyses of exploratory spatial data, the spatial dynamics of regional disparities at the county level in Gansu were investigated by analyzing the per capita GDP data during 1990～2006 and using ArcView GIS and GeoDA software. Empirical results showed that the overall county-level spatial disparities of regional economy in Gansu had been greatly decreased over the past 16 years. The regions and their neighbors tended to have the similar trends towards shrinking the disparities of regional economy, especially for the counties in western or southern Gansu, the relatively highly （lowly） developed counties tended to be located near other highly （lowly） developed counties. Local Moran＇s I scatter plots and local indicators of spatial association cluster map were used to test the local patterns of the Gansu＇s economic development. It was proved that ESDA-GIS spatial analysis makes spatial heterogeneity of economic development more distinct and its visualization is thus strengthened.
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第4期45-50,共6页
Journal of Lanzhou University(Natural Sciences)
基金
国家自然科学基金(40671061)
甘肃省自然科学基金(2007GS03673)资助．
关键词
空间分析
区域经济差异
空间自相关
甘肃省
spatial analysis
regional economic disparity
spatial autocorrelation
Gansu Province
