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HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years
Human settlement plays a key role in understanding social processes such as urbanization and interactions between human and environmental systems but not much is known about the landscape evolution before the era of operational remote sensing technology. In this study, housing and property databases...
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/PMC6122163/ https://www.ncbi.nlm.nih.gov/pubmed/30179234 http://dx.doi.org/10.1038/sdata.2018.175 |
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author | Leyk, Stefan Uhl, Johannes H. |
author_facet | Leyk, Stefan Uhl, Johannes H. |
author_sort | Leyk, Stefan |
collection | PubMed |
description | Human settlement plays a key role in understanding social processes such as urbanization and interactions between human and environmental systems but not much is known about the landscape evolution before the era of operational remote sensing technology. In this study, housing and property databases are used to create new gridded settlement layers describing human settlement processes at fine spatial and temporal resolution in the conterminous United States between 1810 and 2015. The main products are a raster composite layer representing the year of first settlement, and a raster time series of built-up intensity representing the sum of building areas in a pixel. Several accompanying uncertainty surfaces are provided to ensure the user is informed about inherent spatial, temporal and thematic uncertainty in the data. A validation study using high quality reference data confirms high levels of accuracy of the resulting data products. These settlement data will be of great interest in disciplines in which the long-term evolution of human settlement represents crucial information to explore novel research questions. |
format | Online Article Text |
id | pubmed-6122163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-61221632018-09-07 HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years Leyk, Stefan Uhl, Johannes H. Sci Data Data Descriptor Human settlement plays a key role in understanding social processes such as urbanization and interactions between human and environmental systems but not much is known about the landscape evolution before the era of operational remote sensing technology. In this study, housing and property databases are used to create new gridded settlement layers describing human settlement processes at fine spatial and temporal resolution in the conterminous United States between 1810 and 2015. The main products are a raster composite layer representing the year of first settlement, and a raster time series of built-up intensity representing the sum of building areas in a pixel. Several accompanying uncertainty surfaces are provided to ensure the user is informed about inherent spatial, temporal and thematic uncertainty in the data. A validation study using high quality reference data confirms high levels of accuracy of the resulting data products. These settlement data will be of great interest in disciplines in which the long-term evolution of human settlement represents crucial information to explore novel research questions. Nature Publishing Group 2018-09-04 /pmc/articles/PMC6122163/ /pubmed/30179234 http://dx.doi.org/10.1038/sdata.2018.175 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 Leyk, Stefan Uhl, Johannes H. HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title | HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title_full | HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title_fullStr | HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title_full_unstemmed | HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title_short | HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years |
title_sort | hisdac-us, historical settlement data compilation for the conterminous united states over 200 years |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122163/ https://www.ncbi.nlm.nih.gov/pubmed/30179234 http://dx.doi.org/10.1038/sdata.2018.175 |
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