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DOI10.5194/essd-11-1385-2019
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Leyk, Stefan1,12; Gaughan, Andrea E.2,11; Adamo, Susana B.3; de Sherbinin, Alex3; Balk, Deborah4,5; Freire, Sergio6; Rose, Amy7; Stevens, Forrest R.2,11; Blankespoor, Brian8; Frye, Charlie9; Comenetz, Joshua10; Sorichetta, Alessandro11; MacManus, Kytt3; Pistolesi, Linda3; Levy, Marc3; Tatem, Andrew J.11; Pesaresi, Martino6
发表日期2019
ISSN1866-3508
EISSN1866-3516
卷号11期号:3页码:1385-1409
英文摘要

Population data represent an essential component in studies focusing on human-nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global-and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have never been systematically reviewed and compared, which may impede their appropriate use. This article fills this gap and presents, compares and discusses a set of large-scale (global and continental) gridded datasets representing population counts or densities. It focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses. Written by the data producers and members of the user community, through the lens of the "fitness for use" concept, the aim of this paper is to provide potential data users with the knowledge base needed to make informed decisions about the appropriateness of the data products available in relation to the target application and for critical analysis.


WOS研究方向Geology ; Meteorology & Atmospheric Sciences
来源期刊EARTH SYSTEM SCIENCE DATA
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/102842
作者单位1.Univ Colorado, Dept Geog, Boulder, CO 80309 USA;
2.Univ Louisville, Dept Geog & Geosci, Louisville, KY 40292 USA;
3.Columbia Univ, CIESIN, Palisades, NY 10964 USA;
4.CUNY, Baruch Coll, Inst Demog Res, New York, NY 10010 USA;
5.CUNY, Baruch Coll, Marxe Sch Publ & Int Affairs, New York, NY 10010 USA;
6.European Commiss, JRC, Ispra, Italy;
7.Oak Ridge Natl Lab, Human Dynam Grp, Oak Ridge, TN 37831 USA;
8.World Bank, Dev Data Grp, 1818 H St NW, Washington, DC 20433 USA;
9.Environm Syst Res Inst, Redlands, CA 92373 USA;
10.US Census Bur, Washington, DC 20233 USA;
11.Univ Southampton, Sch Geog & Environm Sci, WorldPop, Southampton SO17 1BJ, Hants, England;
12.Univ Colorado, Inst Behav Sci, Boulder, CO 80309 USA
推荐引用方式
GB/T 7714
Leyk, Stefan,Gaughan, Andrea E.,Adamo, Susana B.,et al. The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use[J],2019,11(3):1385-1409.
APA Leyk, Stefan.,Gaughan, Andrea E..,Adamo, Susana B..,de Sherbinin, Alex.,Balk, Deborah.,...&Pesaresi, Martino.(2019).The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use.EARTH SYSTEM SCIENCE DATA,11(3),1385-1409.
MLA Leyk, Stefan,et al."The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use".EARTH SYSTEM SCIENCE DATA 11.3(2019):1385-1409.
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