Geocomputation techniques for spatial analysis: are they relevant to health data?

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 refe...

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Main Authors: Gilberto Câmara, Antônio Miguel Vieira Monteiro
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
Series:Cadernos de Saúde Pública
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2001000500002&lng=en&tlng=en
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spelling doaj-8219ac0b06b54e8c9e0f7ca01b87f2f02020-11-24T23:29:31ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-446417510591071S0102-311X2001000500002Geocomputation techniques for spatial analysis: are they relevant to health data?Gilberto Câmara0Antônio Miguel Vieira Monteiro1Instituto Nacional de Pesquisas EspaciaisInstituto Nacional de Pesquisas EspaciaisGeocomputation 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2001000500002&lng=en&tlng=enAnálise EspacialMétodos GeográficosTécnicas Computacional
collection DOAJ
language English
format Article
sources DOAJ
author Gilberto Câmara
Antônio Miguel Vieira Monteiro
spellingShingle Gilberto Câmara
Antônio Miguel Vieira Monteiro
Geocomputation techniques for spatial analysis: are they relevant to health data?
Cadernos de Saúde Pública
Análise Espacial
Métodos Geográficos
Técnicas Computacional
author_facet Gilberto Câmara
Antônio Miguel Vieira Monteiro
author_sort Gilberto Câmara
title Geocomputation techniques for spatial analysis: are they relevant to health data?
title_short Geocomputation techniques for spatial analysis: are they relevant to health data?
title_full Geocomputation techniques for spatial analysis: are they relevant to health data?
title_fullStr Geocomputation techniques for spatial analysis: are they relevant to health data?
title_full_unstemmed Geocomputation techniques for spatial analysis: are they relevant to health data?
title_sort geocomputation techniques for spatial analysis: are they relevant to health data?
publisher Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
series Cadernos de Saúde Pública
issn 1678-4464
description 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.
topic Análise Espacial
Métodos Geográficos
Técnicas Computacional
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2001000500002&lng=en&tlng=en
work_keys_str_mv AT gilbertocamara geocomputationtechniquesforspatialanalysisaretheyrelevanttohealthdata
AT antoniomiguelvieiramonteiro geocomputationtechniquesforspatialanalysisaretheyrelevanttohealthdata
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