摘要
以广东省21个地区为空间观测单元,对广东省2001—2010年的物流业发展的空间分布进行了探索性空间数据分析。通过计算区位基尼系数和区位商指数,发现广东省区域物流集聚程度较高,而且随时间的推移在逐渐加强,各地区物流业空间集聚性差异较大。全局Moran’s I统计分析表明,广东省各地区物流业之间存在显著的空间自相关,对局域Moran’s I分析进一步分析揭示了区域物流的空间相关模式和时空演变态势。
Using the method of exploratory spatial data analysis,this paper analyzes the spatial distribution of logistics taking twenty-one areas in Guangdong province as observation unit from year 2001 to 2010.By computing spatial Gini coefficient and location entropy index,it finds that a significantly high level of spatial concentration of logistics in Guangdong areas has been captured and the concentration level has increased steadily over the past ten years.Moreover,there are obvious differences among the agglomeration of logistics in Guangdong province.The analysis of Moran’s I statistics shows strong evidence of spatial autocorrelation in logistics among areas in Guangdong province.Further results of the local Moran’s I analysis reveals the spatial correlation of the regional logistics mode and the space-time evolution trend.
出处
《华东交通大学学报》
2013年第4期121-126,共6页
Journal of East China Jiaotong University
基金
广东海洋大学校级科研项目(2013)
关键词
广东省
物流业
探索性数据分析
空间自相关
Guangdong province
logistics
exploratory spatial data analysis（ESDA）
spatial autocorrelation
