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    Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485]

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    Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485]

    New search for: Youchen Shen
    New search for: Kees de Hoogh
    New search for: Oliver Schmitz
    New search for: Nicholas Clinton
    New search for: Karin Tuxen-Bettman
    New search for: Jørgen Brandt
    New search for: Jesper H. Christensen
    New search for: Lise M. Frohn
    New search for: Camilla Geels
    New search for: Derek Karssenberg
    New search for: Roel Vermeulen
    New search for: Gerard Hoek

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    Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485]

    New search for: Youchen Shen
    New search for: Kees de Hoogh
    New search for: Oliver Schmitz
    New search for: Nicholas Clinton
    New search for: Karin Tuxen-Bettman
    New search for: Jørgen Brandt
    New search for: Jesper H. Christensen
    New search for: Lise M. Frohn
    New search for: Camilla Geels
    New search for: Derek Karssenberg
    New search for: Roel Vermeulen
    New search for: Gerard Hoek

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    Title:

    Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485]

    Contributors:

    Youchen Shen (author) / Kees de Hoogh (author) / Oliver Schmitz (author) / Nicholas Clinton (author) / Karin Tuxen-Bettman (author) / Jørgen Brandt (author) / Jesper H. Christensen (author) / Lise M. Frohn (author) / Camilla Geels (author) / Derek Karssenberg (author)

    Published in:

    Environment International, Vol 178, Iss , Pp 108111- (2023)

    Publication date:

    2023

    ISSN:

    0160-4120

    DOI:

    https://doi.org/10.1016/j.envint.2023.108111

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    Unknown

    Keywords:

    Environmental sciences , GE1-350

    Metadata by DOAJ is licensed under ​CC BY-SA 1.0

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