Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest

dc.contributor.author	Chen, Jie
dc.contributor.author	de Hoogh, Kees
dc.contributor.author	Gulliver, John
dc.contributor.author	Hoffmann, Barbara
dc.contributor.author	Hertel, Ole
dc.contributor.author	Ketzel, Matthias
dc.contributor.author	Weinmayr, Gudrun
dc.contributor.author	Bauwelinck, Mariska
dc.contributor.author	Donkelaar, Aaron van
dc.contributor.author	Hvidtfeldt, Ulla A.
dc.contributor.author	Atkinson, Richard
dc.contributor.author	Janssen, Nicole A. H.
dc.contributor.author	Martin, Randall V.
dc.contributor.author	Samoli, Evangelia
dc.contributor.author	Andersen, Zorana J
dc.contributor.author	Oftedal, Bente Margaret
dc.contributor.author	Stafoggia, Massimo
dc.contributor.author	Bellander, Tom
dc.contributor.author	Strak, Maciej
dc.contributor.author	Wolf, Kathrin
dc.contributor.author	Vienneau, Danielle
dc.contributor.author	Brunekreef, Bert
dc.contributor.author	Hoek, Gerard
dc.date.accessioned	2021-03-08T11:34:29Z
dc.date.available	2021-03-08T11:34:29Z
dc.date.created	2021-02-02T09:19:20Z
dc.date.issued	2020
dc.identifier.issn	0013-936X
dc.identifier.uri	https://hdl.handle.net/11250/2732134
dc.language.iso	eng
dc.title	Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.journal	Environmental Science and Technology
dc.identifier.doi	10.1021/acs.est.0c06595
dc.identifier.cristin	1885677
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	2