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High-resolution reconstruction of the United States human population distribution, 1790 to 2010
Where do people live, and how has this changed over timescales of centuries? High-resolution spatial information on historical human population distribution is of great significance to understand human-environment interactions and their temporal dynamics. However, the complex relationship between po...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914287/ https://www.ncbi.nlm.nih.gov/pubmed/29688219 http://dx.doi.org/10.1038/sdata.2018.67 |
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author | Fang, Yu Jawitz, James W. |
author_facet | Fang, Yu Jawitz, James W. |
author_sort | Fang, Yu |
collection | PubMed |
description | Where do people live, and how has this changed over timescales of centuries? High-resolution spatial information on historical human population distribution is of great significance to understand human-environment interactions and their temporal dynamics. However, the complex relationship between population distribution and various influencing factors coupled with limited data availability make it a challenge to reconstruct human population distribution over timescales of centuries. This study generated 1-km decadal population maps for the conterminous US from 1790 to 2010 using parsimonious models based on natural suitability, socioeconomic desirability, and inhabitability. Five models of increasing complexity were evaluated. The models were validated with census tract and county subdivision population data in 2000 and were applied to generate five sets of 22 historical population maps from 1790–2010. Separating urban and rural areas and excluding non-inhabitable areas were the most important factors for improving the overall accuracy. The generated gridded population datasets and the production and validation methods are described here. |
format | Online Article Text |
id | pubmed-5914287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59142872018-05-10 High-resolution reconstruction of the United States human population distribution, 1790 to 2010 Fang, Yu Jawitz, James W. Sci Data Data Descriptor Where do people live, and how has this changed over timescales of centuries? High-resolution spatial information on historical human population distribution is of great significance to understand human-environment interactions and their temporal dynamics. However, the complex relationship between population distribution and various influencing factors coupled with limited data availability make it a challenge to reconstruct human population distribution over timescales of centuries. This study generated 1-km decadal population maps for the conterminous US from 1790 to 2010 using parsimonious models based on natural suitability, socioeconomic desirability, and inhabitability. Five models of increasing complexity were evaluated. The models were validated with census tract and county subdivision population data in 2000 and were applied to generate five sets of 22 historical population maps from 1790–2010. Separating urban and rural areas and excluding non-inhabitable areas were the most important factors for improving the overall accuracy. The generated gridded population datasets and the production and validation methods are described here. Nature Publishing Group 2018-04-24 /pmc/articles/PMC5914287/ /pubmed/29688219 http://dx.doi.org/10.1038/sdata.2018.67 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Fang, Yu Jawitz, James W. High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title | High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title_full | High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title_fullStr | High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title_full_unstemmed | High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title_short | High-resolution reconstruction of the United States human population distribution, 1790 to 2010 |
title_sort | high-resolution reconstruction of the united states human population distribution, 1790 to 2010 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914287/ https://www.ncbi.nlm.nih.gov/pubmed/29688219 http://dx.doi.org/10.1038/sdata.2018.67 |
work_keys_str_mv | AT fangyu highresolutionreconstructionoftheunitedstateshumanpopulationdistribution1790to2010 AT jawitzjamesw highresolutionreconstructionoftheunitedstateshumanpopulationdistribution1790to2010 |