基于土地利用类型提高人口格网数据空间精度的方法

doi:10.13474/j.cnki.11-2246.2021.374

测绘通报 ›› 2021, Vol. 0 ›› Issue (12): 66-70.doi: 10.13474/j.cnki.11-2246.2021.374

基于土地利用类型提高人口格网数据空间精度的方法

郭子翰¹, 陈斐¹, 刘晓丽², 戴昭鑫²

1. 东华理工大学, 江西南昌 330013;
2. 中国测绘科学研究院, 北京 100089

收稿日期:2021-06-28 修回日期:2021-10-26 发布日期:2021-12-30
通讯作者: 陈斐。E-mail:1172741512@qq.com
作者简介:郭子翰(1997-),男,硕士生,主要研究方向为地理信息系统、人口空间化。E-mail:gzhgzh1997@outlook.com
基金资助:
国家重点研发计划（2018YFB2100702）；中国测绘科学研究院基本科研业务费（AR2107；AR2008）；国家自然科学基金（41907389；41801228）

A method to improve the spatial accuracy of population grided data based on land use

GUO Zihan¹, CHEN Fei¹, LIU Xiaoli², DAI Zhaoxin²

1. East China University of Technology, Nanchang 330013, China;
2. Chinese Academy of Surveying and Mapping, Beijing 100089, China

Received:2021-06-28 Revised:2021-10-26 Published:2021-12-30

摘要/Abstract

摘要： 高空间精度的人口格网数据具有空间分辨率高、人口空间分布特征准确的特点,在受灾人群估计、城市规划建设等领域有广泛的应用。针对已有的公开人口格网数据集(如WorldPop世界人口格网数据集)存在人口空间分布特征在小尺度上刻画不准确、空间分辨率较低的问题,本文使用东营市土地利用类型数据,结合地类权重和面积权重对WorldPop数据进行空间精度优化,获得东营市东营区黄河路街道25 m人口格网数据。相较于WorldPop数据,经过本文方法处理后的数据集空间分辨率更优,在可视化对比中,能够更准确地刻画人口分布特征,并在各地类人口占比统计中人口空间分布与用地单元分布一致性更高。该方法为获取小区域高空间精度人口格网数据提供了一种新思路。

关键词: 人口空间化, Dasymetric方法, 土地利用类型数据, WorldPop, 东营

Abstract: The population grided data with high spatial precision has the characteristics of high spatial resolution and accurate spatial distribution of the population. It is widely used in estimation of the affected population and urban planning.There are many publicly available population grided datasets, such as WorldPop which have the disadvantages of inaccurate of population spatial distribution and low spatial resolutionon small scales. Based on land use data of Dongying, combined with land use weight and area weight to optimize the spatial accuracy of WorldPop. Produce the population grided data with 25 m resolution of Huanghe street in Dongying. Compared with the WorldPop data, the dataset processed by this method has better spatial resolution and more accurate of population distribution, in the visual comparison. The differences in the statistics of the proportion of the population in each land use reflect the spatial distribution of population is highly consistent with the distribution of land use units. This method provides a new idea for obtaining population grided data with high spatial accuracy in a small area.

Key words: population spatialization, dasymetric method, land use data, WorldPop, Dongying

中图分类号:

P208

郭子翰, 陈斐, 刘晓丽, 戴昭鑫. 基于土地利用类型提高人口格网数据空间精度的方法[J]. 测绘通报, 2021, 0(12): 66-70.

GUO Zihan, CHEN Fei, LIU Xiaoli, DAI Zhaoxin. A method to improve the spatial accuracy of population grided data based on land use[J]. Bulletin of Surveying and Mapping, 2021, 0(12): 66-70.

参考文献

[1] 董南,杨小唤,蔡红艳.基于居住空间属性的人口数据空间化方法研究[J].地理科学进展,2016,35(11):1317-1328.
[2] 成方龙, 赵冠伟, 杨木壮, 等. 集成地理探测器与随机森林模型的城市人口分布格网模拟[J]. 测绘通报, 2020(1):76-81.
[3] 黄金侠,李德平,周亮,等.基于多源数据的人口空间化多方法对比研究[J].测绘与空间地理信息,2020,43(12):58-62.
[4] 黄金侠. 基于多源数据的长沙市人口多尺度空间化建模[D].长沙:湖南师范大学,2020.
[5] LLOYD C T, SORICHETTA A, TATEM A J. High resolution global gridded data for use in population studies[J]. Scientific Data, 2017, 4:170001.
[6] 闫庆武, 卞正富, 张萍, 等. 基于居民点密度的人口密度空间化[J]. 地理与地理信息科学, 2011, 27(5):95-98.
[7] 吕安民, 李成名, 林宗坚, 等. 人口统计数据的空间分布化研究[J]. 武汉大学学报(信息科学版), 2002, 27(3):301-305.
[8] LEYK S, GAUGHAN A E, ADAMO S B, et al. The spatial allocation of population:a review of large-scale gridded population data products and their fitness for use[J]. Earth System Science Data, 2019, 11(3):1385-1409.
[9] BAI Z Q,WANG J L,WANG M M,et al. Accuracy assess-ment of multi-source gridded population distribution datasets in China[J]. Sustainability,2018,10(5):1363-1378.
[10] 刘正廉, 桂志鹏, 吴华意, 等. 融合建筑物与POI数据的精细人口空间化研究[J]. 测绘地理信息, 2021, 46(5):102-106.
[11] SINHA P,GAUGHAN A E,STEVENS F R,et al. Assessing the spatial sensitivity of a random forest model:application in gridded population modeling[J]. Computers, Environment and Urban Systems,2019,75:132-145.
[12] MENNIS J. Generating surface models of population using dasymetric mapping[J]. The Professional Geographer, 2003, 55(1):31-42.
[13] WRIGHT J K. A method of mapping densities of population with cape cod as an example[J]. Geographical Review, 1936, 26(1):103-110.
[14] ZANDBERGEN P A. Dasymetric mapping using high resolution address point datasets[J]. Transactions in GIS,2011,15(S1):5-27.
[15] MENNIS J,HULTGREN T. Intelligent dasymetric mapping and its application to areal interpolation[J]. Cartography and Geographic Information Science,2006,33(3):179-194.
[16] ZANDBERGEN P A, IGNIZIO D A. Comparison of dasymetric mapping techniques for small-area population estimates[J]. Cartography and Geographic Information Science, 2010, 37(3):199-214.
[17] 东营市统计局,国家统计局东营调查队.东营统计年鉴2021[M/OL].2021-10-28[2021-11-1].http://dystjj.dongying.gov.cn/art/2021/10/28/art_36583_10274866.html.
[18] 王明明, 王卷乐. 山东省街道/乡镇级格网化人口空间分布数据集(2000、2010年)[J]. 中国科学数据, 2019, 4(3):182-192.
[19] 谭敏,刘凯,柳林,等.基于随机森林模型的珠江三角洲30 m格网人口空间化[J].地理科学进展,2017,36(10):1304-1312.
[20] 潘颖, 黄万里, 叶士琳, 等. 基于土地利用类型数据的统计人口空间化模型研究:以福建省为例[J]. 云南大学学报(自然科学版), 2020, 42(4):701-711.

基于土地利用类型提高人口格网数据空间精度的方法

A method to improve the spatial accuracy of population grided data based on land use

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价