Spatio-temporal air pollution modelling using a compositional approach

Joseph Sánchez-Balseca; Agustí Pérez-Foguet

doi:10.1016/j.heliyon.2020.e04794

Spatio-temporal air pollution modelling using a compositional approach

Joseph Sánchez-Balseca^*
, Agustí Pérez-Foguet

^*Corresponding author for this work

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

17 Scopus citations

Abstract

Statistics;

Original language	English
Article number	e04794
Journal	Heliyon
Volume	6
Issue number	9
DOIs	https://doi.org/10.1016/j.heliyon.2020.e04794
State	Published - Sep 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 The Author(s)

Funding

Joseph Sánchez Balseca is the recipient of a full scholarship from the Secretaria de Educación Superior, Ciencia, Técnología e Innovación (SENESCYT), Ecuador. The authors want to thank the CoDa knowledge management to the Ministry of Science, Innovation and Universities of Spain (Ref: RTI2018-095518-B-C22) and the Agència de Gestió d'Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (Ref. 2017 SGR 1496). Joseph S?nchez Balseca is the recipient of a full scholarship from the Secretaria de Educaci?n Superior, Ciencia, T?cnolog?a e Innovaci?n (SENESCYT), Ecuador. The authors want to thank the CoDa knowledge management to the Ministry of Science, Innovation and Universities of Spain (Ref: RTI2018-095518-B-C22) and the Ag?ncia de Gesti? d'Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (Ref. 2017 SGR 1496).

Funders	Funder number
Ag?ncia de Gesti?
Secretaria de Educaci?n Superior, Ciencia, T?cnolog?a e Innovaci?n
Ministerio de Ciencia, InnovaciÃ³n y Universidades	RTI2018-095518-B-C22
AgÃ¨ncia de GestiÃ³ d'Ajuts Universitaris i de Recerca	2017 SGR 1496
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación

Keywords

Air quality
Atmospheric science
CoDa
Compositional data
Engineering
Environmental analysis
Environmental chemical engineering
Environmental impact assessment
Environmental statistics
Modelling
Statistics

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10.1016/j.heliyon.2020.e04794

Cite this

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title = "Spatio-temporal air pollution modelling using a compositional approach",

abstract = "Statistics;",

keywords = "Air quality, Atmospheric science, CoDa, Compositional data, Engineering, Environmental analysis, Environmental chemical engineering, Environmental impact assessment, Environmental statistics, Modelling, Statistics",

author = "Joseph S{\'a}nchez-Balseca and Agust{\'i} P{\'e}rez-Foguet",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = sep,

doi = "10.1016/j.heliyon.2020.e04794",

language = "English",

volume = "6",

journal = "Heliyon",

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TY - JOUR

T1 - Spatio-temporal air pollution modelling using a compositional approach

AU - Sánchez-Balseca, Joseph

AU - Pérez-Foguet, Agustí

PY - 2020/9

Y1 - 2020/9

N2 - Statistics;

AB - Statistics;

KW - Air quality

KW - Atmospheric science

KW - CoDa

KW - Compositional data

KW - Engineering

KW - Environmental analysis

KW - Environmental chemical engineering

KW - Environmental impact assessment

KW - Environmental statistics

KW - Modelling

KW - Statistics

UR - https://www.scopus.com/pages/publications/85090574528

U2 - 10.1016/j.heliyon.2020.e04794

DO - 10.1016/j.heliyon.2020.e04794

M3 - Article

AN - SCOPUS:85090574528

SN - 2405-8440

VL - 6

JO - Heliyon

JF - Heliyon

IS - 9

M1 - e04794

ER -

Spatio-temporal air pollution modelling using a compositional approach

Abstract

Bibliographical note

Funding

Keywords

Access to Document

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