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Bayesian spatiotemporal modelling for the assessment of short-term exposure to particle pollution in urban areas

This paper describes a Bayesian hierarchical approach to predict short-term concentrations of particle pollution in an urban environment, with application to inhalable particulate matter (PM(10)) in Greater London. We developed and compared several spatiotemporal models that differently accounted fo...

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Detalles Bibliográficos
Autores principales:	Pirani, Monica, Gulliver, John, Fuller, Gary W, Blangiardo, Marta
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2014
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994509/ https://www.ncbi.nlm.nih.gov/pubmed/24280683 http://dx.doi.org/10.1038/jes.2013.85

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