地理学报 ›› 2002, Vol. 57 ›› Issue (7s): 70-75.doi: 10.11821/xb20027s010

• 人口与环境空间分析 • 上一篇    下一篇

人口数据空间化的处理方法

杨小唤,江东,王乃斌,刘红辉   

  1. 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
  • 收稿日期:2002-05-17 修回日期:2002-10-21 出版日期:2002-12-25 发布日期:2010-09-06
  • 作者简介: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
  • 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)

Method of Pixelizing Population Data

YANG Xiaohuan, JIANG Dong, WANG Naibin, LIU Honghui   

  1. Resources and Environmental Data Center, Institute of Geographic Sciences and Natural Resources Research, CAS,Beijing 100101, China
  • Received:2002-05-17 Revised:2002-10-21 Online:2002-12-25 Published:2010-09-06
  • 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)

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

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