A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

Title
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
Authors
Keywords
Land use regression, Fine particles, Nitrogen dioxide, Machine learning
Journal
ENVIRONMENT INTERNATIONAL
Volume 130, Issue -, Pages 104934
Publisher
Elsevier BV
Online
2019-06-20
DOI
10.1016/j.envint.2019.104934

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started