Dasymetric distribution of votes in a dense city

dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
dc.contributor.affiliationDepartamento de Ingeniería del Terreno
dc.contributor.authorPavia, Jose M.es_ES
dc.contributor.authorCantarino-Martí, Isidro
dc.contributor.funderMinisterio de Economía y Competitividades_ES
dc.date.accessioned2020-07-14T03:31:23Z
dc.date.available2020-07-14T03:31:23Z
dc.date.issued2017-09es_ES
dc.description.abstract[EN] A large proportion of electoral analyses using geography are performed on a small area basis, such as polling units. Unfortunately, polling units are frequently redrawn, provoking breaks in their data series. Previous electoral results play a key role in many analyses. They are used by political party workers and journalists to present quick assessments of outcomes, by political scientists and electoral geographers to perform detailed scrutinizes and by pollsters and forecasters to anticipate electoral results. In this paper, we study to what extent more complex geographical approaches (based on a proper location of electors on the territory using dasymetric techniques) are of value in comparison to simple methods (like areal weighting) for the problem of reallocating votes in a large, dense city. Barcelona is such a city and, having recently redrawn the boundaries of its census sections, it is an ideal candidate for further scrutiny. Although previous studies show the approaches based on dasymetric techniques outperforming simpler solutions for interpolating census figures, our results show that improvements in the process of reallocating votes are marginal. This brings into question the extra effort that entails introducing ancillary sources of information in a dense urban area for this kind of data. Additional research is required to know whether and when these results are extendable. (C) 2017 Elsevier Ltd. All rights reserved.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationPavia, JM.; Cantarino-Martí, I. (2017). Dasymetric distribution of votes in a dense city. Applied Geography. 86:22-31. https://doi.org/10.1016/j.apgeog.2017.06.021es_ES
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economics and Competitiveness under Grant CSO2013-43054-R.es_ES
dc.description.upvformatpfin31es_ES
dc.description.upvformatpinicio22es_ES
dc.description.volume86es_ES
dc.identifier.doi10.1016/j.apgeog.2017.06.021es_ES
dc.identifier.issn0143-6228es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/147922
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofApplied Geographyes_ES
dc.relation.pasarelaS\342326es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CSO2013-43054-R/ES/ESTRUCTURA SOCIAL, ENCUESTAS Y ELECCIONES/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.apgeog.2017.06.021es_ES
dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectBoundary changeses_ES
dc.subjectSmall areases_ES
dc.subjectElectionses_ES
dc.subjectBarcelonaes_ES
dc.subject.classificationINGENIERIA DEL TERRENOes_ES
dc.titleDasymetric distribution of votes in a dense cityes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier2003
person.identifier.orcid0000-0002-9962-5734
relation.isAuthorOfPublicationf9cfc83f-93af-4df6-85d2-815936b59ece
relation.isAuthorOfPublication.latestForDiscoveryf9cfc83f-93af-4df6-85d2-815936b59ece
relation.isOrgUnitOfPublication9d1abfb4-d3a8-4bda-ae58-13f1971682a0
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upv.uuiddcfd72e7-65b5-4e7b-8c95-a3c1ae6be2bfes_ES

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