dc.date | 2012-08 | |
dc.date.available | 2015-02-11T19:08:19Z | |
dc.date.issued | 2012-08 | |
dc.identifier.issn | 1467-9787 | |
dc.identifier.uri | http://hdl.handle.net/10784/4988 | |
dc.description.abstract | In 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.iso | eng | eng |
dc.publisher | Wiley-Blackwell | |
dc.relation.ispartof | Journal of Regional Science, Volume 52, Issue 3, pages 397–419 | eng |
dc.relation.isversionof | http://dx.doi.org/10.1111/j.1467-9787.2011.00743.x | |
dc.rights | Wiley | spa |
dc.rights | © 2011, Wiley Periodicals, Inc | spa |
dc.source | Journal of Regional Science, Volume 52, Issue 3, pages 397–419 | |
dc.title | The Max-p-region problem | eng |
dc.type | article | eng |
dc.type | info:eu-repo/semantics/article | eng |
dc.type | info:eu-repo/semantics/publishedVersion | eng |
dc.type | publishedVersion | eng |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | eng |
dc.type.local | Artículo | spa |
dc.subject.keyword | Spatial Clustering | eng |
dc.subject.keyword | MIP modelling | eng |
dc.rights.local | Acceso restringido | spa |
dc.date.accessioned | 2015-02-11T19:08:19Z | |
dc.contributor.department | Universidad EAFIT. Departamento de Economía y Finanzas | spa |
dc.contributor.author | Duque, Juan C. | spa |
dc.contributor.author | Ansellin, Luc | spa |
dc.contributor.author | Rey, Sergio | spa |
dc.citation.journalTitle | Journal of Regional Science | |
dc.citation.volume | 52 | |
dc.citation.issue | 3 | |
dc.citation.spage | 397 | |
dc.citation.epage | 419 | |
dc.identifier.doi | 10.1111/j.1467-9787.2011.00743.x | |
dc.contributor.affiliation | Universidad EAFIT. Escuela de Economía y Finanzas. Research in Spatial Economics (RiSE), Carrera 49 7 Sur-50, Medellín, Colombia. | spa |
dc.contributor.affiliation | GeoDa Center for Geospatial Analysis and Computation, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302 | spa |
dc.contributor.program | Research in Spatial Economics (RiSE) | eng |
dc.contributor.researchgroup | Research in Spatial Economics (RISE) | eng |