Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression

Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression

Previous European land-use regression (LUR) models assumed fixed linear relationships between air pollution concentrations and predictors such as traffic and land use. We evaluated whether including spatially-varying relationships could improve European LUR models by using geographically weighted re...

Full description

Bibliographic Details
Main Authors: Youchen Shen, Kees de Hoogh, Oliver Schmitz, Nicholas Clinton, Karin Tuxen-Bettman, Jørgen Brandt, Jesper H. Christensen, Lise M. Frohn, Camilla Geels, Derek Karssenberg, Roel Vermeulen, Gerard Hoek
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Environment International
Subjects:
Spatially varying coefficient
Spatiotemporal variation
Geographically and temporally weighted regression
Random forest
Land-use regression
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412022004123

Internet

http://www.sciencedirect.com/science/article/pii/S0160412022004123

Similar Items