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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, t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755125/ https://www.ncbi.nlm.nih.gov/pubmed/26881418 http://dx.doi.org/10.1038/sdata.2016.5 |
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author | 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 Tatem, Andrew J. |
author_facet | 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 Tatem, Andrew J. |
author_sort | Gaughan, Andrea E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4755125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47551252016-02-25 Spatiotemporal patterns of population in mainland China, 1990 to 2010 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 Tatem, Andrew J. Sci Data Data Descriptor 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. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4755125/ /pubmed/26881418 http://dx.doi.org/10.1038/sdata.2016.5 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor 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 Tatem, Andrew J. Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title_full | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title_fullStr | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title_full_unstemmed | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title_short | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
title_sort | spatiotemporal patterns of population in mainland china, 1990 to 2010 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755125/ https://www.ncbi.nlm.nih.gov/pubmed/26881418 http://dx.doi.org/10.1038/sdata.2016.5 |
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