Spatiotemporal patterns of population in mainland China, 1990 to 2010

Scientific Data
Andrea E GaughanAndrew J Tatem

Abstract

According to UN forecasts, global population will increase to over 8 billion by 2025, with much of this anticipated population growth expected in urban areas. In China, the scale of urbanization has, and continues to be, unprecedented in terms of magnitude and rate of change. Since the late 1970s, the percentage of Chinese living in urban areas increased from ~18% to over 50%. To quantify these patterns spatially we use time-invariant or temporally-explicit data, including census data for 1990, 2000, and 2010 in an ensemble prediction model. Resulting multi-temporal, gridded population datasets are unique in terms of granularity and extent, providing fine-scale (~100 m) patterns of population distribution for mainland China. For consistency purposes, the Tibet Autonomous Region, Taiwan, and the islands in the South China Sea were excluded. The statistical model and considerations for temporally comparable maps are described, along with the resulting datasets. Final, mainland China population maps for 1990, 2000, and 2010 are freely available as products from the WorldPop Project website and the WorldPop Dataverse Repository.

References

May 2, 2006·Advances in Parasitology·D L BalkA Nelson
Mar 22, 2012·International Journal of Health Geographics·Catherine Linard, Andrew J Tatem
Feb 19, 2013·PloS One·Andrea E GaughanAndrew J Tatem
Jul 24, 2013·Population Health Metrics·Andrew J TatemCatherine Linard
May 10, 2014·Nature·Xuemei BaiYansui Liu
Sep 1, 2013·Population and Development Review·Yong Cai

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Citations

Aug 17, 2016·Scientific Data·Alessandro SorichettaAndrew J Tatem
Feb 1, 2017·Scientific Data·Andrew J Tatem
Dec 15, 2017·Journal of the Royal Society, Interface·Jeremiah J NievesAndrew J Tatem
Aug 1, 2018·International Journal of Environmental Research and Public Health·Yongqiang FangJun Gao
Oct 12, 2018·Conservation Biology : the Journal of the Society for Conservation Biology·Cheng ChenJedediah F Brodie
Aug 2, 2016·Scientific Data·Filipe R N C Maia, Janos Hajdu
Jul 17, 2019·Proceedings of the National Academy of Sciences of the United States of America·Lei DongSiqi Zheng
Oct 23, 2019·International Journal of Environmental Research and Public Health·Xuchao YangCheng Jin
Jan 1, 2019·IOP Conference Series. Materials Science and Engineering·Andrea E GaughanSon V Nghiem
Sep 16, 2017·Journal of Food and Drug Analysis·Tit-Yee Wong
Aug 15, 2017·Bulletin of the World Health Organization·Shengjie LaiHongjie Yu
Jan 14, 2020·Population and Environment·Kyle OndaNikhil Kaza
Nov 4, 2017·International Journal of Digital Earth·Catherine LinardRobert W Snow
Mar 17, 2017·Stochastic Environmental Research and Risk Assessment : Research Journal·Jean ArtoisMarius Gilbert
Aug 17, 2020·Environment International·Chul-Hee LimWoo-Kyun Lee
Mar 29, 2020·Journal of Environmental Management·Han XiaXintang Wang
Mar 29, 2020·Environmental Science & Technology·Guang ShiHaikun Wang

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Software Mentioned

DMSP
R
HydroSHEDS
Python
OLS
LandScan
OpenStreetMap
WorldPop
GAUL

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