摘要
基于ESDA(Exploratory Spatial Data Analysis)相关分析,在ArcGIS和Geoda空间统计分析软件的支持下,采用人均GDP为指标,对东北地区236个县域空间格局特征、空间关联特征进行实证分析,并对2003—2012年空间格局演变规律进行了探讨.研究结果表明:通过空间关联分析,在总体空间格局上各县域人均GDP的分布存在正的全局空间自相关,局部空间集聚结果包括HH,HL,LH和LL 4种类型.
Based on the related analysis of Exploratory Spatial Data Analysis （ESDA）, vsing the software of statistics in ArcGIS and Geoda space, taking the per capita GDP as index, we analyzed the spatial pattern of 236 counties in Northeast China, and spatial correlation characteristics of empirical analysis, then discussed the spatial pattern evolution from 2003 to 2012. Empirical results are drawn as follows. The GDP per capita at county level shows a strong trend of spatial auto-correlation. All counties can be divided into four types of LISA clustering, including HH, HL, LH and LL.
出处
《河南科学》
2014年第3期425-429,共5页
Henan Science
关键词
经济发展
空间自相关
县域单元
东北地区
economic development： spatial autocorrelation： county unit： Northeast China
