Europe-Wide Air Pollution Modeling from 2000 to 2019 Using Geographically Weighted Regression-Reference-Cited by-同舟云学术

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Europe-Wide Air Pollution Modeling from 2000 to 2019 Using Geographically Weighted Regression

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

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

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference51 articles.

1. National Spatiotemporal Exposure Surface for NO2: Monthly Scaling of a Satellite-Derived Land-Use Regression;M J Bechle;Environ. Sci. Technol,2000

2. An integrated model study for Europe and North America using the Danish Eulerian Hemispheric Model with focus on intercontinental transport of air pollution;J Brandt;Atmos. Environ,2012

3. Random Forests;L Breiman;Mach. Learn,2001

4. Geographically weighted regression: a method for exploring spatial nonstationarity;C Brunsdon;Geogr. Anal,1996

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a mathematical model and an efficient computational algorithm for predicting atmospheric pollution in industrial regions;AIP Conference Proceedings;2024

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