Spatiotemporal patterns of population in mainland China, 1990 to 2010
Spatiotemporal patterns of population in mainland China, 1990 to 2010
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.
1-11
Gaughan, Andrea E.
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Stevens, Forrest R.
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Huang, Zhuojie
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Nieves, Jeremiah J.
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Sorichetta, Alessandro
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Lai, Shengjie
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Ye, Xinyue
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Linard, Catherine
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Hornby, Graeme M.
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Hay, Simon I.
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Yu, Hongjie
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Tatem, Andrew J.
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16 February 2016
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Huang, Zhuojie
07e288b7-51b3-414a-82b7-28d83b114be6
Nieves, Jeremiah J.
2b5f2f25-afc0-4585-8531-dc2acc4b3511
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Ye, Xinyue
fde9c153-4659-4f88-9ca6-5d13e3209aa7
Linard, Catherine
231a1de7-72c2-4dc1-bc4e-ea30ed444856
Hornby, Graeme M.
52fc0227-a0b1-46eb-a08f-ec689c460bf8
Hay, Simon I.
471d3ae4-a3c1-4d29-93e3-a90d44471b00
Yu, Hongjie
f6a43c0c-0da8-4124-bd15-cd832d6fee7c
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Gaughan, Andrea E., Stevens, Forrest R., Huang, Zhuojie, Nieves, Jeremiah J., Sorichetta, Alessandro, Lai, Shengjie, Ye, Xinyue, Linard, Catherine, Hornby, Graeme M., Hay, Simon I., Yu, Hongjie and Tatem, Andrew J.
(2016)
Spatiotemporal patterns of population in mainland China, 1990 to 2010.
Scientific Data, 3, .
(doi:10.1038/sdata.2016.5).
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.
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sdata20165.pdf
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Accepted/In Press date: 12 January 2016
Published date: 16 February 2016
Organisations:
Global Env Change & Earth Observation, WorldPop, Geography & Environment, Population, Health & Wellbeing (PHeW)
Identifiers
Local EPrints ID: 388336
URI: http://eprints.soton.ac.uk/id/eprint/388336
PURE UUID: fb7417d7-d16b-459b-b54b-f18a64027c92
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Date deposited: 24 Feb 2016 09:28
Last modified: 15 Mar 2024 04:02
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Contributors
Author:
Andrea E. Gaughan
Author:
Forrest R. Stevens
Author:
Zhuojie Huang
Author:
Jeremiah J. Nieves
Author:
Xinyue Ye
Author:
Catherine Linard
Author:
Simon I. Hay
Author:
Hongjie Yu
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