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基于GeoDA的吉林省区域经济统计分析
引用本文:于雪芹,张涛,孙妍,李华朋. 基于GeoDA的吉林省区域经济统计分析[J]. 吉林建筑工程学院学报, 2013, 0(6): 12-15
作者姓名:于雪芹  张涛  孙妍  李华朋
作者单位:[1]吉林建筑大学测绘与勘查工程学院长春130118;吉林大学地球探测科学与技术学院,长春130000 [2]吉林建筑大学测绘与勘查工程学院,长春130118 [3]中国科学院东北地理与农业生态研究所,长春130012
基金项目:中国科学院西部行动计划项目(KZCX2-XB3-15-4).
摘    要:本文利用空间分析软件GeoDA对吉林省48县市区域GDP进行空间统计分析,研究了全局和局部空间差异特征,揭示了吉林行政单元经济之间的空间相关联现象,从根本上改变了传统的统计分析方法.研究结果显示,吉林省GDP聚集度较高区域为长春市及其周边,聚集度较低区域为延边朝族自治州及其周边,存在明显地区差异.

关 键 词:空间统计分析  空间自相关  GeoDA  吉林省区域经济

Spatial Statistic Analysis of Regional Economy in Jilin Province Based on GeoDA
Affiliation:YU Xue - qin1'2, ZHANG TaoI, SUN Yanj, LI Hua - peng3 (1: School of Geomatics and Prospecting Engineering, Jilin University of Architecture, Changchun, China 130118; 2: College of GeoExploration Science and Technology, Jilin University, Changchun, China 130000; 3: Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun, China 130012)
Abstract:In this paper, the spatial analysis software GeoDA is utilized tO make research on the regional economy of 48 cities in Jilin province, which radically transforms the concept and improves the method of traditional statistic. The author discusses the global and local spatial differences that reveal the spatial correlation phenomenon. The re- sults show that the highest spatial clustering exists in Changchun and its surrounding area and the lowest spatial clustering exists in Yanbian and its surrounding area. Thus, the results also can offer reasonable support for govern- ment planning departments to make decision.
Keywords:Spatial Statistic Analysis  Spatial Autocorrelation  GeoDA  Regional Economy of Jilin Province
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