A Data Science Approach for Spatiotemporal Modelling of Low and Resident Air Pollution in Madrid (Spain): Implications for Epidemiological Studies

AuthID
 P-00Q-0MT
4
Author(s)
Gibert, K
·
Tipo de Documento
Article
Year published
2019
Publicado
in COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, ISSN: 0198-9715
Volume: 75, Páginas: 1-11 (11)
Indexing
Wos®
Scopus®
Crossref®14
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85058842297
Wos: WOS:000463120000001
Source Identifiers
ISSN: 0198-9715
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