Bayesian geostatistical modelling of high-resolution [Formula: see text] exposure in Europe combining data from monitors, satellites and chemical transport models

Bayesian geostatistical regression (GR) models estimate air pollution exposure at high spatial resolution, quantify the prediction uncertainty and provide probabilistic inference on the exceedance of air quality thresholds. However, due to high computational burden, previous GR models have provided...

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Detalles Bibliográficos
Autores principales: Beloconi, Anton, Vounatsou, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152800/
https://www.ncbi.nlm.nih.gov/pubmed/32179313
http://dx.doi.org/10.1016/j.envint.2020.105578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152800/
https://www.ncbi.nlm.nih.gov/pubmed/32179313
http://dx.doi.org/10.1016/j.envint.2020.105578

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