Recent literature on long-range spatial exposure assessment focused on Kriging or atmospheric pollution models. We develop a full Bayesian approach to Universal Kriging which allows appropriate treatment of prediction uncertainty.

A Bayesian Kriging Model to Predict PM10 Annual Average Concentrations for the Lombardy Region (Italy)

Catelan, Dolores;Biggeri, Annibale;
2011

Abstract

Recent literature on long-range spatial exposure assessment focused on Kriging or atmospheric pollution models. We develop a full Bayesian approach to Universal Kriging which allows appropriate treatment of prediction uncertainty.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3392142
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact