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dc.creatorDuque, Juan C.spa
dc.creatorAnsellin, Lucspa
dc.creatorRey, Sergiospa
dc.date2012-08
dc.date.available2015-02-11T19:08:19Z
dc.date.issued2012-08
dc.identifier.issn1467-9787spa
dc.identifier.urihttp://hdl.handle.net/10784/4988
dc.descriptionIn this paper, we introduce a new spatially constrained clustering problem called the max-p-regions problem. It involves the clustering of a set of geographic areas into the maximum number of homogeneous regions such that the value of a spatially extensive regional attribute is above a predefined threshold value.We formulate the max-p-regions problem as a mixed integer programming (MIP) problem, and propose a heuristic solution.eng
dc.language.isoengeng
dc.publisherWiley-Blackwellspa
dc.relation.ispartofJournal of Regional Science, Volume 52, Issue 3, pages 397–419spa
dc.relation.isversionofhttp://dx.doi.org/10.1111/j.1467-9787.2011.00743.xspa
dc.rightsWileyspa
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights© 2011, Wiley Periodicals, Incspa
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceJournal of Regional Science, Volume 52, Issue 3, pages 397–419eng
dc.sourceinstname:Universidad EAFITspa
dc.sourcereponame:Repositorio Institucional Universidad EAFITspa
dc.titleThe Max-p-region problemeng
dc.typeinfo:eu-repo/semantics/article
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsrestrictedAccessspa
dc.type.spaArtículospa
dc.subject.keywordMax-P-Regionsspa
dc.subject.keywordSpatial Clusteringeng
dc.subject.keywordMIP modellingeng
dc.rights.accesoAcceso restringidospa
dc.date.accessioned2015-02-11T19:08:19Z
dc.type.hasVersionpublishedVersioneng
dc.creator.emailDuque, J.C. (jduquec1@eafit.edu.co)
dc.creator.emailAnsellin, Luc (luc.anselin@asu.edu)
dc.creator.emailRey, Sergio (srey@asu.edu)
dc.contributor.departmentEscuela de Economía y Finanzasspa
dc.contributor.eafitauthorDuque, Juan C. (jduquec1@eafit.edu.co)spa
dc.tipo.versionObra publicadaspa
dc.citation.journalTitleJournal of Regional Scienceeng
dc.citation.volume52
dc.citation.issue3
dc.citation.spage397
dc.citation.epage419
dc.identifier.doi10.1111/j.1467-9787.2011.00743.x
dc.contributor.affiliationUniversidad EAFIT. Escuela de Economía y Finanzas. Research in Spatial Economics (RiSE), Carrera 49 7 Sur-50, Medellín, Colombia.spa
dc.contributor.affiliationGeoDa Center for Geospatial Analysis and Computation, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302spa
dc.contributor.programResearch in Spatial Economics (RiSE)eng


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