Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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Hierarchical spatio-temporal models for short-term predictions of air pollution data
Francesca Bruno, Lucia Paci

Last modified: 2013-06-14

Abstract


Recently, many national Environmental Agencies are interested to pro-vide the citizens and public health decision-makers with visual and easy access to air quality information. Short-term air pollution predictions are usually needed as high resolution spatial patterns. We develop a hierarchical spatio-temporal model to enable use of different sources of information in order to provide short-term air pollution forecasting.


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