Spatialization of Demographic Data at Medium Scale Based on Remote Sensing Images: Regarding Beijing-Tianjin-Hebei as an Example

doi:10.13209/j.0479-8023.2015.100

›› 2015, Vol. 51 ›› Issue (4): 707-717.DOI: 10.13209/j.0479-8023.2015.100

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Spatialization of Demographic Data at Medium Scale Based on Remote Sensing Images: Regarding Beijing-Tianjin-Hebei as an Example

WU Jiansheng^1.2;XU Duo¹;XIE Wudan¹;PENG Jian²

1. Key Laboratory of Urban Habitant Environment Science and Technology, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055; 2. Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871;

Received:2015-01-11 Revised:2015-03-20 Online:2015-07-20 Published:2015-07-20
About author:WU Jiansheng

基于遥感影像的中尺度人口统计数据空间化——以京津冀地区为例

吴健生^1,2;许多¹;谢舞丹¹;彭建²

1. 北京大学深圳研究生院城市规划与设计学院, 人居环境科学与技术重点实验室, 深圳 518055; 2. 北京大学城市与环境学院, 地表过程与模拟教育部重点实验室, 北京 100871;

作者简介:吴健生
基金资助:
国家自然科学基金(41130534)资助

Abstract

Abstract: This study selects Beijing-Tianjin-Hebei region as the study area and attempts to realize the population spatialization with the data of DMSP/OLS, land use, socio-economic and ecological environmental factors related to population distribution at the medium scale. Firstly, the authors obtain the census data of Beijing-Tianjin-Hebei region in 2010, and then calculated the probability coefficient based on these factors (selected roads, railways, rivers, slope, land use and nighttime light), and finally assign the census data to each pixel using all related variables and their probability coefficients with the software of geographic information system (GIS). City census data was chosen to test the research result, and the results showed that the accuracy rate of the population spatialization in the Beijing-Tianjin-Hebei region is more than 74% in the urban scale. The method for population spatialization can be well applied to the spatialization of demographic data at medium scale.

Key words: nighttime light, census data, spatialization

摘要： 基于 DMSP/OLS 夜间灯光数据、土地利用数据及其他与人口分布相关的社会经济与生态环境因子, 在中尺度区域上研究人口统计数据的空间化及应用。以京津冀地区为研究区, 首先获取2010 年京津冀地区人口普查数据; 然后基于各个相关因子(公路、铁路、河流、坡度、土地利用和夜间灯光)计算概率系数; 最后综合各种输入变量和概率系数运用地理信息系统技术把人口普查数据分配到各个像元上。用城市人口普查数据对分配结果进行检验, 检验结果为: 京津冀地区2010 年人口统计数据的空间化结果在城市尺度上的校验准确率可以达到74%以上。此检验结果表明该人口统计数据空间化的方法可以很好地应用于中尺度区域人口统计数据的空间化。

关键词: 夜间灯光, 人口统计数据, 空间化

CLC Number:

K901

WU Jiansheng;XU Duo;XIE Wudan;PENG Jian. Spatialization of Demographic Data at Medium Scale Based on Remote Sensing Images: Regarding Beijing-Tianjin-Hebei as an Example[J]. , 2015, 51(4): 707-717.

吴健生;许多;谢舞丹;彭建. 基于遥感影像的中尺度人口统计数据空间化——以京津冀地区为例[J]. 北京大学学报（自然科学版）, 2015, 51(4): 707-717.

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Spatialization of Demographic Data at Medium Scale Based on Remote Sensing Images: Regarding Beijing-Tianjin-Hebei as an Example

基于遥感影像的中尺度人口统计数据空间化——以京津冀地区为例

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