Combinando sistemas de informação geográfica e redes neurais GMDH para prever densidades demográficas
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
02/03/2016
02/03/2016
2012
|
| Resumo |
The 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. Artigo submetido em: 16/02/2011 Aceito para publicação em: 03/09/2012 Publicado em: 03/09/2012 |
| Formato |
4-14 |
| Identificador |
http://www.periodicos.rc.biblioteca.unesp.br/index.php/estgeo/article/view/4401 Estudos Geográficos, v. 8, n. 2, p. 4-14, 2012. 1678-698X http://hdl.handle.net/11449/134916 ISSN1678-698X-2012-08-02-04-14.pdf 5603234988255497 |
| Idioma(s) |
por |
| Relação |
Estudos Geográficos |
| Direitos |
openAccess |
| Palavras-Chave | #Geographic information system #Artificial neural networks #Demographic density #Sistema de informações geográficas #Redes neurais artificiais #Densidade demográfica |
| Tipo |
info:eu-repo/semantics/article |
