A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

Gavin Shaddick; Haojie Yan; Danielle Vienneau

doi:10.1007/s10651-012-0234-z

A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

Gavin Shaddick
, Haojie Yan
, Danielle Vienneau

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

Original language	English
Pages (from-to)	553-570
Number of pages	18
Journal	Environmental and Ecological Statistics
Volume	20
Issue number	4
DOIs	https://doi.org/10.1007/s10651-012-0234-z
Publication status	Published - Dec 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 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

Air pollution
Bayesian hierarchical models
Geographical information systems
Spatial modelling

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10.1007/s10651-012-0234-z

Cite this

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title = "A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe",

keywords = "Air pollution, Bayesian hierarchical models, Geographical information systems, Spatial modelling",

author = "Gavin Shaddick and Haojie Yan and Danielle Vienneau",

year = "2013",

month = dec,

doi = "10.1007/s10651-012-0234-z",

language = "English",

volume = "20",

pages = "553--570",

journal = "Environmental and Ecological Statistics",

issn = "1352-8505",

publisher = "Springer",

number = "4",

}

TY - JOUR

T1 - A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

AU - Shaddick, Gavin

AU - Yan, Haojie

AU - Vienneau, Danielle

PY - 2013/12

Y1 - 2013/12

KW - Air pollution

KW - Bayesian hierarchical models

KW - Geographical information systems

KW - Spatial modelling

UR - https://www.scopus.com/pages/publications/84888021415

U2 - 10.1007/s10651-012-0234-z

DO - 10.1007/s10651-012-0234-z

M3 - Article

AN - SCOPUS:84888021415

SN - 1352-8505

VL - 20

SP - 553

EP - 570

JO - Environmental and Ecological Statistics

JF - Environmental and Ecological Statistics

IS - 4

ER -

A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

UN SDGs

Keywords

Access to Document

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Cite this