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Spatiotemporal database of US congressional elections, 1896–2014
High-quality historical data about US Congressional elections has long provided common ground for electoral studies. However, advances in geographic information science have recently made it efficient to compile, distribute, and analyze large spatio-temporal data sets on the structure of US Congress...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556619/ https://www.ncbi.nlm.nih.gov/pubmed/28809849 http://dx.doi.org/10.1038/sdata.2017.108 |
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author | Wolf, Levi John |
author_facet | Wolf, Levi John |
author_sort | Wolf, Levi John |
collection | PubMed |
description | High-quality historical data about US Congressional elections has long provided common ground for electoral studies. However, advances in geographic information science have recently made it efficient to compile, distribute, and analyze large spatio-temporal data sets on the structure of US Congressional districts. A single spatio-temporal data set that relates US Congressional election results to the spatial extent of the constituencies has not yet been developed. To address this, existing high-quality data sets of elections returns were combined with a spatiotemporal data set on Congressional district boundaries to generate a new spatio-temporal database of US Congressional election results that are explicitly linked to the geospatial data about the districts themselves. |
format | Online Article Text |
id | pubmed-5556619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55566192017-08-30 Spatiotemporal database of US congressional elections, 1896–2014 Wolf, Levi John Sci Data Data Descriptor High-quality historical data about US Congressional elections has long provided common ground for electoral studies. However, advances in geographic information science have recently made it efficient to compile, distribute, and analyze large spatio-temporal data sets on the structure of US Congressional districts. A single spatio-temporal data set that relates US Congressional election results to the spatial extent of the constituencies has not yet been developed. To address this, existing high-quality data sets of elections returns were combined with a spatiotemporal data set on Congressional district boundaries to generate a new spatio-temporal database of US Congressional election results that are explicitly linked to the geospatial data about the districts themselves. Nature Publishing Group 2017-08-15 /pmc/articles/PMC5556619/ /pubmed/28809849 http://dx.doi.org/10.1038/sdata.2017.108 Text en Copyright © 2017, 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 Wolf, Levi John Spatiotemporal database of US congressional elections, 1896–2014 |
title | Spatiotemporal database of US congressional elections, 1896–2014 |
title_full | Spatiotemporal database of US congressional elections, 1896–2014 |
title_fullStr | Spatiotemporal database of US congressional elections, 1896–2014 |
title_full_unstemmed | Spatiotemporal database of US congressional elections, 1896–2014 |
title_short | Spatiotemporal database of US congressional elections, 1896–2014 |
title_sort | spatiotemporal database of us congressional elections, 1896–2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556619/ https://www.ncbi.nlm.nih.gov/pubmed/28809849 http://dx.doi.org/10.1038/sdata.2017.108 |
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