Large-scale Bayesian spatial modelling of air pollution for policy support

Gavin Shaddick; Haojie Yan; Ruth Salway; Danielle Vienneau; Daphne Kounali; David Briggs

doi:10.1080/02664763.2012.754851

Large-scale Bayesian spatial modelling of air pollution for policy support

Gavin Shaddick, Haojie Yan, Ruth Salway, Danielle Vienneau, Daphne Kounali, David Briggs

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	777-794
Number of pages	18
Journal	Journal of Applied Statistics
Volume	40
Issue number	4
DOIs	https://doi.org/10.1080/02664763.2012.754851
Publication status	Published - Apr 2013
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 13 Climate Action
SDG 15 Life on Land

Keywords

air pollution
Bayesian models
land-use regression
policy support
spatial modelling

Access to Document

10.1080/02664763.2012.754851

Cite this

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title = "Large-scale Bayesian spatial modelling of air pollution for policy support",

keywords = "air pollution, Bayesian models, land-use regression, policy support, spatial modelling",

author = "Gavin Shaddick and Haojie Yan and Ruth Salway and Danielle Vienneau and Daphne Kounali and David Briggs",

year = "2013",

month = apr,

doi = "10.1080/02664763.2012.754851",

language = "English",

volume = "40",

pages = "777--794",

journal = "Journal of Applied Statistics",

issn = "0266-4763",

publisher = "Routledge",

number = "4",

}

TY - JOUR

T1 - Large-scale Bayesian spatial modelling of air pollution for policy support

AU - Shaddick, Gavin

AU - Yan, Haojie

AU - Salway, Ruth

AU - Vienneau, Danielle

AU - Kounali, Daphne

AU - Briggs, David

PY - 2013/4

Y1 - 2013/4

KW - air pollution

KW - Bayesian models

KW - land-use regression

KW - policy support

KW - spatial modelling

UR - https://www.scopus.com/pages/publications/84875803842

U2 - 10.1080/02664763.2012.754851

DO - 10.1080/02664763.2012.754851

M3 - Article

AN - SCOPUS:84875803842

SN - 0266-4763

VL - 40

SP - 777

EP - 794

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

IS - 4

ER -

Large-scale Bayesian spatial modelling of air pollution for policy support

UN SDGs

Keywords

Access to Document

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Cite this