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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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Autor principal: Wolf, Levi John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
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
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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.
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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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