摘要
在经济社会数据应用中,以行政单元为空间统计对象的数据仍是目前最常用的数据。经济社会统计数据表示的是统计对象在空间区域上的一种平均状况。由于我国同级别行政区域的面积大小差别很大,统计区域内部差异也很明显,这导致同级别行政单元上的统计数据表现出的区域内部空间分布的真实性有很大差异,即数据表现出来的空间均匀程度有很大差异。这里以经济社会统计数据空间离散化分析为基础,利用G IS软件空间分析方法计算部分经济社会统计指标在不同省级行政单元上表现出来的空间均匀程度,用以说明不同经济社会统计指标表现出来的区域真实性,为相应数据的应用提供空间标尺参考。
Various level administrative units-based statistic economic and social data is still the main data sources for many applications in the filed of society and economy. Administrative unit based statistic data present the average status for certain social and economic index. Because the difference of same level administrative unit is quite large, so the larger the administrative unit area, the less inner uniformity, To calculate the uniformity of economic and social index, the paper introduce a method to calculate the uniformity for provincial level administrative units. Firstly, 1km×1 km grid data for GDP, population and industry value are calculated based on the county level administrative unit. Secondly, the Moran index is calculated for each provincial level administrative unit for each economic and social index. Finally the Moran index-named uniformity index is used to explain the social and economic index distribution uniformity for each provincial administrative unit in China.
出处
《地域研究与开发》
CSSCI
北大核心
2009年第3期130-134,共5页
Areal Research and Development
基金
国家发展和改革委员会宏观经济研究院基本科研业务费项目(A2008003006)
关键词
经济社会统计数据
地理信息系统
离散化
均匀指数
economic and social statistic data
geographic information system
spatial discretization
uniformity index