地理科学 ›› 1999, Vol. 19 ›› Issue (3): 254-257.doi: 10.13249/j.cnki.sgs.1999.03.254

• 研究方法 • 上一篇    下一篇

地区发展均衡性的可视化测度

李秀彬   

  1. 中国科学院地理研究所, 北京100101
  • 收稿日期:1998-07-17 修回日期:1999-04-16 出版日期:1999-05-20 发布日期:1999-05-20

VISULIZING SPATIAL EQUALITY OF DEVELOPMENT

Li Xiubin   

  1. Institute of Geography, the Chinese Academy of Sciences, Beijing 100101
  • Received:1998-07-17 Revised:1999-04-16 Online:1999-05-20 Published:1999-05-20

摘要: 在刻划复杂现象的方法中,图像媒体往往能比数值指标传递更多的信息,且由于直观、形象,而更具有说服力。运用空间均值地图演示的方法,探索了地区发展均衡性的可视化测度。通过与数值型综合测算方法的比较,说明了它在刻划地区差异上的准确性,而且在反映地区差异的空间表现上具有优势。作为一种描绘空间过程总体趋势的手段,该方法在研究其它“区域重心转移”问题上也具有一定的实用价值。

Abstract: Abstract There is an increasing concern about spatial equality of development as a social issue in China. Controversial arguments exist about the seriousness of the issue, mainly because of the difference among measuring methods adopted by different researchers. As a matter of fact, “a simple and intuitively satisfactory measure of equality” still remains an issue of speculation. In this study, the author took a spatial visulization approach instead of a numeric indicator to describe the spatial inequality of development in China. A statistic in geostatistics, spatial mean, was used as a means of spatial equality measurement. Values of the spatial mean for population, GDP and consumption level were plotted on the country map with the help from a Geographic Information System (GIS) of provincial level data of China. Location of the spatial mean for population was adopted as a reference point. If the spatial mean of the data (GDP and consumption level) is significantly different from the reference point, it indicates the spatial inequality of development. Distance of the deviation indicates the magnitude of inequality, while the direction of the deviation indicates the high density part of the country in terms of the concerned economic indicator. Results of the case study were compared to that of the work conducted by the Development Research Center of State Council of China, which adopted a modified version of standard deviation by employing Pearson’s coefficient of variation. Conclusions of the two studies are quite close to each other, while the visulization approach provides more information like the spatial form of the development inequality.

中图分类号: 

  • K129.9