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地理学报 >

2002 , Vol. 57 >Issue 7s: 70 - 75

DOI: https://doi.org/10.11821/xb20027s010

人口与环境空间分析

人口数据空间化的处理方法

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  • 中国科学院地理科学与资源研究所资源环境数据中心，北京 100101
杨小唤 (1965-), 男, 安徽潜山人, 研究员。主要研究方向是遥感技术应用、数据与信息处理等。E-mail: yangxh@igsnrr.ac.cn

收稿日期: 2002-05-17

  修回日期: 2002-10-21

  网络出版日期: 2002-12-25

基金资助

中科院知识创新工程重要方向性项目(KZCX2-308-4); 国家“十五”攻关课题 (2001-BA608B-03)

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Method of Pixelizing Population Data

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  • Resources and Environmental Data Center, Institute of Geographic Sciences and Natural Resources Research, CAS,Beijing 100101, China

Received date: 2002-05-17

  Revised date: 2002-10-21

  Online published: 2002-12-25

Supported by

Knowledge Innovation Project of Chinese Academy of Sciences, No.KZCX2-308-4;National Key Project of the Tenth-Five Year Plan, No.2001-BA608B-03)

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摘要

在人口空间分布区划的基础上，利用基于LANDSAT TM信息获取的1:10万比例尺的土地利用/覆盖数据，建立与统计人口数据的多元相关关系模型，计算各种土地利用类型中的居住人口系数，在GIS支持下计算出全国1 km格网人口空间分布数据，然后结合DEM数据、居民点分布数据对空间化处理结果进行修正，并在各大区内随机抽样若干县采集乡镇行政边界和统计人口数据对模型计算结果进行了验证。

关键词： 人口; 数据; 空间化

本文引用格式

杨小唤,江东,王乃斌,刘红辉 . 人口数据空间化的处理方法[J]. 地理学报, 2002 , 57(7s) : 70 -75 . DOI: 10.11821/xb20027s010

Abstract

This paper discusses particularly the method and process of pixelizing the statistical population data. Firstly, the regionalization of spatial population distribution is finished. Secondly, the models of spatial population distribution based on the data of land use and land cover deriving from Landsat TM is established to calculate the population coefficient dwelling on different types of land use. Thirdly, the 1-km gridded population data supported by GIS is calculated. Then the results were modified according to DEM and inhabitant place map. Of course the sub-area data sampling randomly from the first class regions tests the precision of the results.

Key words： population; data; pixelizing

参考文献


[1] A W Carruthers. Mapping the population census of Scotland. The Cartographic Journal, 1985, 22: 83-87.

[2] Robert B, Matlock J R, John B Welch．Estimation population density per unit area from mark, release, recapture data. Ecological Applications, 1996, 6(4): 1241-1253.

[3] Paul Sutton. Modeling population density with nighttime satellite imagery and GIS. Computer, Environment and Urban System, 1997, 21(3/4): 227-244.

[4] Lo C P. Application of Landsat TM data for quality of life assessment in an urban environment. Computer, Environment and Urban System, 1998, 21(3/4): 259-276.

[5] Yifan Li. Global Population Distribution Database. 1996, URL: grid2.cr.usgs.gov/globalpop/l-degree.

[6] Christopher Small, Joel E Cohen. Physiography, Climate and the Global Distribution of Human Population. 2000, URL: sedac.ciesin.org/plue/gpw/workshop.html.

[7] Clark C. Urban population densities. Journal of the Royal Statistical Society, 1951, 114: 490-496.

[8] Langford M, D J Unwin. Generating and mapping population density surfaces within a geographical information system. The Cartographic Journal, 1994, 31: 21-26.

[9] Liu Zheng. Questions of Population Theories. Beijing: China Social Science Press, 1984.
[刘铮. 人口理论问题. 北京: 中国社会科学出版社, 1984.]

[10] Mi Hong, Ji Guoli, Lin Qican. Study on systematic theory and evaluation methods of sustainable development based on harmonic development among people, resources and environment on county level in China．Population and Economy, 1999, (6): 17-24.
[米红, 吉国力, 林琪灿. 中国县级区域人口、资源、环境与经济协调发展的可持续发展系统理论和评估方法研究. 人口与经济, 1999, (6): 17-24.]

[11] Gao Zhiqiang, Liu Jiyuan, Zhuang Dafang. Study on relation between ecological environment quality of China's land resources and population distribution based on remote sensing and GIS. Journal of Remote Sensing. 1999, 3(1): 79-83.
[高志强, 刘纪远, 庄大方. 基于遥感和GIS的中国土地资源生态环境质量同人口分布的关系研究. 遥感学报, 1999, 3(1): 79-83.]

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