顾及城乡差异的大区域人口密度估算——以山东省为例

鲁楠; 张委伟; 陈利军; 李志林; 陈军; 李然; 陈学泓; 张宇硕; 刘吉羽

doi:10.11947/j.AGCS.2015.20150005

测绘学报 >

2015 , Vol. 44 >Issue 12: 1384 - 1391

DOI: https://doi.org/10.11947/j.AGCS.2015.20150005

地理学与地理信息

顾及城乡差异的大区域人口密度估算——以山东省为例

鲁楠 ,
张委伟 ,
陈利军 ,
李志林 ,
陈军 ,
李然 ,
陈学泓 ,
张宇硕 ,
刘吉羽

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1. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
2. 国家基础地理信息中心, 北京 100830;
3. 北京师范大学地理学与遥感科学学院, 北京 100875

鲁楠(1990-),男,硕士,研究方向为遥感空间信息应用。E-mail:ln901105@163.com

收稿日期: 2015-01-03

修回日期: 2015-06-30

网络出版日期: 2016-01-04

基金资助

国家973计划(2012CB719901);国家自然科学基金(41231172);国家863计划(2013AA122802)第12期鲁楠,等:顾及城乡差异的大区域人口密度估算——以山东省为例December 2015 Vol.44 No.12 AGCShttp://xb.sinomaps.com

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Estimation of Large Regional Urban and Rural Population Density Based on the Differences of Population Distribution between Urban and Rural: Take Shandong Province as Example

LU Nan ,
ZHANG Weiwei ,
CHEN Lijun ,
LI Zhilin ,
CHEN Jun ,
LI Ran ,
CHEN Xuehong ,
ZHANG Yushuo ,
LIU Jiyu

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1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. National Geomatics Center of China, Beijing 100830, China;
3. School of Geography, Beijing Normal University, Beijing 100875, China

Received date: 2015-01-03

Revised date: 2015-06-30

Online published: 2016-01-04

Supported by

The National Basic Research Program of China(973 Program) (No.2012CB719901);The State Key Program of the National Natural Science Foundation of China (No. 41231172);The National High-tech Research and Development Program of China (863 Program) (No. 2013AA122802)

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摘要

现有大区域人口密度估算结果大多是在千米级尺度上,仅能宏观地反映城乡人口分布的范围,无法准确地刻画城乡人口空间分布的细节特征。本文将首套30 m全球地表覆盖数据(GlobeLand30)引入城乡人口密度估算中,基于实现城乡划分的GlobeLand30人造地表数据,在城镇区域运用夜间灯光强度与人口的相关性将城镇人口细划到30 m尺度上来估算城镇人口密度;在乡村区域引入样方估算的方法修正乡村居民地面积以估算乡村人口密度。以山东省为试验区的研究表明,本文方法无论在城乡居民地刻画还是人口空间分布的表达上均优于参考数据,所使用的GlobeLand30的全球性也保证了该方法推广的可行性。

关键词： m全球地表覆盖数据(GlobeLand30); 大区域; 乡村居民地面积; DMSP/OLS夜间灯光数据; 城乡人口密度; 山东省

本文引用格式

鲁楠 , 张委伟 , 陈利军 , 李志林 , 陈军 , 李然 , 陈学泓 , 张宇硕 , 刘吉羽 . 顾及城乡差异的大区域人口密度估算——以山东省为例[J]. 测绘学报, 2015 , 44(12) : 1384 -1391 . DOI: 10.11947/j.AGCS.2015.20150005

Abstract

Existing methods for large regional population density estimation, which are mostly concentrated in the kilometer scale and only reflect the macro distribution characteristics of the urban and rural population, are difficult to describe details of urban and rural population spatial distribution accurately. In order to resolve the problem above, an estimation method of large regional urban and rural population density, which is based on the first 30 m global land cover dataset(GlobeLand30) is proposed. Based on the urban and rural area data partitioned from artificial surfaces data in GlobeLand30 datasets, the population density were estimated in urban and rural area respectively. Urban population density was estimated through the correlation between night lighting intensity and population. Through area revise of rural patches by the method of quadrats estimation, the rural population density was estimated. This paper takes Shandong province as a test area. The result shows that the method of urban-rural population density estimation could reflect the heterogeneity and continuity of the population spatial distribution in urban internal well, and express the population spatial distribution in rural area. By comparison with the reference data, the method of this paper is superior to the reference data in describing the spatial extent of residents and expressing the spatial distribution of population. And due to the globality of GlobeLand30 data, it is feasible to extend the method to a wider area.

Key words： 30m global land cover data(GlobeLand30); large region; rural residential area; DMSP/OLS night light data; urban and rural population density; Shandong Province

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