%0 Journal Article
%T Study on Spatial Distribution Pattern of Population Pressure in China Based on GIS: Example of Application of Spatial Data Mining in Demography<br>基于GIS的人口压力空间分布模式研究——空间数据挖掘在人口学领域应用的实例
%A CHEN Nan
%A WANG Qin-min
%A LIN Zong-jian
%A <br>陈楠
%A 王钦敏
%A 林宗坚
%J 计算机应用研究
%D 2007
%I 
%X 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.
%K spatial data mining
%K GIS
%K population pressure
%K spatial distribution pattern
%K principal component analysis<br>空间数据挖掘
%K 地理信息系统
%K 人口压力
%K 空间分布模式
%K 主成分分析
%K 人口压力
%K 空间分布态势
%K 模式研究
%K 空间数据挖掘
%K 人口学
%K 应用
%K Based
%K Population
%K Pressure
%K Spatial
%K Distribution
%K Pattern
%K Study
%K Spatial
%K Data
%K Mining
%K Application
%K 部门
%K 政府决策
%K 川渝
%K 甘青
%K 关联模式
%K 区域
%K 山东
%K 浙闽
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B30ECA635639AD59F47&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=E1D946F217E3B046&eid=D9AE183D3F5C3C75&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9