The Network-Max-P-Regions model
dc.citation.journalTitle | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | |
dc.contributor.author | She, B. | spa |
dc.contributor.author | Duque, J.C. | spa |
dc.contributor.author | Ye, X. | spa |
dc.contributor.department | Universidad EAFIT. Departamento de Economía y Finanzas | spa |
dc.contributor.researchgroup | Research in Spatial Economics (RISE) | eng |
dc.date.accessioned | 2021-04-12T14:26:16Z | |
dc.date.available | 2021-04-12T14:26:16Z | |
dc.date.issued | 2017-05-04 | |
dc.description.abstract | This paper introduces a new p-regions model called the Network-Max-P-Regions (NMPR) model. The NMPR is a regionalization model that aims to aggregate n areas into the maximum number of regions (max-p) that satisfy a threshold constraint and to minimize the heterogeneity while taking into account the influence of a street network. The exact formulation of the NMPR is presented, and a heuristic solution is proposed to effectively compute the near-optimized partitions in several simulation datasets and a case study in Wuhan, China. © 2016 Informa UK Limited, trading as Taylor & Francis Group. | eng |
dc.identifier | https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=5169 | |
dc.identifier.doi | 10.1155/2016/5191583 | |
dc.identifier.issn | 13658816 | |
dc.identifier.issn | 13658824 | |
dc.identifier.other | WOS;000382655500001 | |
dc.identifier.other | SCOPUS;2-s2.0-84986269087 | |
dc.identifier.uri | http://hdl.handle.net/10784/28044 | |
dc.language.iso | eng | eng |
dc.publisher | TAYLOR & FRANCIS LTD | |
dc.relation.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994155150&doi=10.1080%2f13658816.2016.1252987&partnerID=40&md5=35f472a7b5decd6fdd18ee577b3e77bb | |
dc.rights | https://v2.sherpa.ac.uk/id/publication/issn/1365-8816 | |
dc.source | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | |
dc.subject.keyword | computer simulation | eng |
dc.subject.keyword | data set | eng |
dc.subject.keyword | heuristics | eng |
dc.subject.keyword | network analysis | eng |
dc.subject.keyword | numerical model | eng |
dc.subject.keyword | regionalization | eng |
dc.subject.keyword | spatial analysis | eng |
dc.subject.keyword | China | eng |
dc.subject.keyword | Hubei | eng |
dc.subject.keyword | Wuhan | eng |
dc.title | The Network-Max-P-Regions model | 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.type.local | Artículo | spa |
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