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
Background: Spatial linear Land-Use Regression (LUR) is commonly used for long-term modeling of air pollution in support of exposure and epidemiological assessments. Machine Learning (ML) methods in conjunction with spatiotemporal modeling can provide more flexible exposure-relevant metrics and have...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-09-01
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Series: | Environment International |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412020317827 |