TY - JOUR
T1 - Spatiotemporal patterns of population in mainland China, 1990 to 2010
AU - Gaughan, Andrea E.
AU - Stevens, Forrest R.
AU - Huang, Zhuojie
AU - Nieves, Jeremiah J.
AU - Sorichetta, Alessandro
AU - Lai, Shengjie
AU - Ye, Xinyue
AU - Linard, Catherine
AU - Hornby, Graeme M.
AU - Hay, Simon I.
AU - Yu, Hongjie
AU - Tatem, Andrew J.
N1 - Funding Information:
A.E.G., F.R.S., and J.N. are supported by funding from Google (OICB150153). A.S. is supported by funding from the Bill & Melinda Gates Foundation (OPP1106427, 1032350). C.L. is supported by funding from the Belgian Science Policy (SR/00/304). A.J.T. is supported by funding from NIH/NIAID (U19AI089674), the Bill & Melinda Gates Foundation (OPP1106427, 1032350), and the RAPIDD program of the Science and Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health. S.I.H. is funded by a Senior Research Fellowship from the Wellcome Trust (#095066), and grants from the Bill & Melinda Gates Foundation (OPP1119467, OPP1106023 and OPP1093011). S.I.H. would also like to acknowledge funding support from the RAPIDD program of the Science & Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health. H.Y. is supported by the National Science Fund for Distinguished Young Scholars (No. 81525023), Ministry of Science and Technology of China (2012 ZX10004-201, 2014BAI13B05), NIH (U19 AI51915) and the Harvard Center for Communicable Disease Dynamics (U54 GM088558). X.Y. is supported by the Natural Science Foundation of China (41430637; 41329001), and Chinese Ministry of Education (13JJD790008). This work forms part of the WorldPop Project (www.worldpop.org). We thank Dr Yilan Liao from the Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences and Dr Xiaojuan Jiang from the Gansu Center for Disease Control and Prevention in data collections. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
PY - 2016/2/16
Y1 - 2016/2/16
N2 - 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.
AB - 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.
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U2 - 10.1038/sdata.2016.5
DO - 10.1038/sdata.2016.5
M3 - Article
C2 - 26881418
AN - SCOPUS:84961117073
SN - 2052-4463
VL - 3
JO - Scientific Data
JF - Scientific Data
M1 - 160005
ER -