Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States

Published 2020 View Full Article

Authors

Keywords

Machine learning, Land use regression, Ozone, Spatiotemporal modeling, Black-box model interpretation

Journal

ENVIRONMENT INTERNATIONAL

Volume 142, Issue -, Pages 105827

Publisher

Elsevier BV

Online

2020-06-26

DOI

10.1016/j.envint.2020.105827

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started