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  • 标题:Geocomputation techniques for spatial analysis: are they relevant to health data?
  • 本地全文:下载
  • 作者:Câmara, Gilberto ; Monteiro, Antônio Miguel Vieira
  • 期刊名称:Cadernos de Saúde Pública
  • 印刷版ISSN:0102-311X
  • 电子版ISSN:1678-4464
  • 出版年度:2001
  • 卷号:17
  • 期号:5
  • 页码:1059-1071
  • DOI:10.1590/S0102-311X2001000500002
  • 语种:English
  • 出版社:Escola Nacional de Saúde Pública,Fundação Oswaldo Cruz
  • 摘要:

    Geocomputation is an emerging field of research that advocates the use of computationally intensive techniques such as neural networks, heuristic search, and cellular automata for spatial data analysis. Since increasing amounts of health-related data are collected within a geographical frame of reference, geocomputational methods show increasing potential for health data analysis. This paper presents a brief survey of the geocomputational field, including some typical applications and references for further reading.

  • 关键词:Análise Espacial;Métodos Geográficos;Técnicas Computacional
  • 其他关键词:Spatial Analysis;Geographical Methods;Computational Technics
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