Publicação: Prediction of Spatial and Temporal Data: A Web Tool based on Georeferenced Resources
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Data
2014-01-01
Orientador
Coorientador
Pós-graduação
Curso de graduação
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Editor
Ieee
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Resumo
Spatiotemporal data stored in geographic databases provide an evolutionary panorama about the characteristics of a specific region. With integration of prediction concepts and statistical functions to that data, it is possible to make inferences of obtained information, to support in many areas such as management of occupational health, environmental resources, quality of life and, others. In this article is proposed a strategy to calculate the locality of predicted spatial points with the temporal and statistic function series, which will be able to find regions with critical levels. In the concentrations of more dense occurrences, this strategy supports to choose prevention methods and offers a prediction analysis based on georeferenced resources. This work contributes towards to prediction, analysis and visualization of georeferenced data to reduce costs and improve the life quality.
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Idioma
Inglês
Como citar
2014 15th International Conference On Parallel And Distributed Computing, Applications And Technologies (pdcat 2014). New York: Ieee, p. 124-130, 2014.
