《计算机应用研究》|Application Research of Computers

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

Study on Spatial Distribution Pattern of Population Pressure in China Based on GIS: Example of Application of Spatial Data Mining in Demography

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作者 陈楠,王钦敏,林宗坚
机构 1.福州大学 福建省空间信息工程研究中心 数据挖掘与信息共享教育部重点实验室,福建 福州 350002;2.中国测绘科学研究院,北京 100039
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文章编号 1001-3695(2007)04-0232-03
DOI 10.3969/j.issn.1001-3695.2007.04.070
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。
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
基金项目 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)
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英文标题 Study on Spatial Distribution Pattern of Population Pressure in China Based on GIS: Example of Application of Spatial Data Mining in Demography
作者英文名 CHEN Nan, WANG Qin-min, LIN Zong-jian
机构英文名 1. Key Laboratory of Data Mining & Information Sharing for Ministry of Education, Spatial Information Research Center, Fuzhou University, Fuzhou Fujian 350002, China; 2. Chinese Academy of Surveying & Mapping, Beijing 100039, China
英文摘要 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 distribution 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 decisionmaking department of the government.
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