摘要
提出人口压力指标,运用主成分分析方法对我国人口压力作出评价,并根据压力指标对我国各个省市进行了分类。在其基础之上,运用空间数据挖掘中GIS的空间自相关分析方法,分析了我国人口压力空间分布模式;研究认为我国人口压力从西部向东部总体减小,人口压力在空间分布上呈现明显的聚集模式。围绕京津、江浙闽、山东等区域与周围省市的人口压力形成低—低关联模式,围绕陕甘青、川渝等省市与周围保持高—高关联模式。这种空间分布态势值得政府决策部门注意。
The population pressure indexes were proposed and an evaluation on the population pressure in China was made by employing the principal component analysis. Provinces and cities were classified into different categories according to the population pressure indexes. Based on this, adopting spatial autocorrelation analyzing method used in spatial data mining, the author analyzed the spatial distributirn pattern of population pressure. The study indicated that the population pressure in China decreased from west to east. The spatial distribution of population pressure demonstrated a spatial clustering pattern. There was a low-low spatial correlation in the area of Beijing, Tianjin, Zhejiang, Fujian, Shandong and the surrounding provinces, and a high-high spatial correlation in the area of Shanxi, Gansu, Qinghai, Sichuan, Chongqing and the surrounding provinces. This kind of spatial distribution pattern should be paid much attention to by the decislon-making department of the government.
出处
《计算机应用研究》
CSCD
北大核心
2007年第4期232-234,共3页
Application Research of Computers
基金
国家"863"计划资助项目(2001AA135080)
福建省青年科技人才创新资助项目(2005J007)
福州大学校人才基金资助项目(XRC-0519)
关键词
空间数据挖掘
地理信息系统
人口压力
空间分布模式
主成分分析
spatial data mining
GIS
population pressure
spatial distribution pattern
principal component analysis
