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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Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
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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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