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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/134916
Title: 
Combinando sistemas de informação geográfica e redes neurais GMDH para prever densidades demográficas
Other Titles: 
Combining geographic information systems and gmdh neural networks to predict demographic density
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Instituto Paulista de Ensino Superior Unificado (IPESU)
  • Universidade Paulista (UNIP)
ISSN: 
1678-698X
Abstract: 
  • 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
Issue Date: 
2012
Citation: 
Estudos Geográficos, v. 8, n. 2, p. 4-14, 2012.
Time Duration: 
4-14
Keywords: 
  • Geographic information system
  • Artificial neural networks
  • Demographic density
  • Sistema de informações geográficas
  • Redes neurais artificiais
  • Densidade demográfica
Source: 
http://www.periodicos.rc.biblioteca.unesp.br/index.php/estgeo/article/view/4401
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/134916
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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