dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorBrondino, Nair Cristina Margarido
dc.creatorBrondino, Odney Carlos
dc.date2016-03-02T12:58:58Z
dc.date2016-10-25T21:31:28Z
dc.date2016-03-02T12:58:58Z
dc.date2016-10-25T21:31:28Z
dc.date2012
dc.date.accessioned2017-04-06T09:59:47Z
dc.date.available2017-04-06T09:59:47Z
dc.identifierEstudos Geográficos, v. 8, n. 2, p. 4-14, 2012.
dc.identifier1678-698X
dc.identifierhttp://hdl.handle.net/11449/134916
dc.identifierhttp://acervodigital.unesp.br/handle/11449/134916
dc.identifierISSN1678-698X-2012-08-02-04-14.pdf
dc.identifier5603234988255497
dc.identifierhttp://www.periodicos.rc.biblioteca.unesp.br/index.php/estgeo/article/view/4401
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/945427
dc.descriptionThe aim of this work is to advance a new approach for estimating demographic density, through combining a Geographic Information System with GMDH Neural Networks. The model that is suggested parts the analyzed space into a rectangular grid formed by multiple cells measuring 0.01 km2 each. The forecasts are elaborated based on the demographic density in each cell and in its neighboring cells at a given time. Despite the limited availability of data during the modeling phase, the utilization of this method for studying a Brazilian medium-sized city presented promising results.
dc.descriptionArtigo submetido em: 16/02/2011 Aceito para publicação em: 03/09/2012 Publicado em: 03/09/2012
dc.languagepor
dc.relationEstudos Geográficos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGeographic information system
dc.subjectArtificial neural networks
dc.subjectDemographic density
dc.subjectSistema de informações geográficas
dc.subjectRedes neurais artificiais
dc.subjectDensidade demográfica
dc.titleCombinando sistemas de informação geográfica e redes neurais GMDH para prever densidades demográficas
dc.typeOtro


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