Geocomputation techniques for spatial analysis: are they relevant to health data?
Cad Saude Publica
; 17(5): 1059-71, discussion 1072-81, 2001.
Article
en En
| MEDLINE
| ID: mdl-11679884
ABSTRACT
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.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Proyectos de Investigación
/
Interpretación Estadística de Datos
/
Redes Neurales de la Computación
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Cad Saude Publica
Asunto de la revista:
SAUDE PUBLICA
Año:
2001
Tipo del documento:
Article
País de afiliación:
Brasil