# 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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparison-of-machine-learning-and-land-use-regression-for-fine-scale/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiang Ren,Zhongyuan Mi,Panos G. Georgopoulos |
| Citations | 209 |
| DOI | 10.1016/j.envint.2020.105827 |
| Fields | Earth and Planetary Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0160412020317827/pdf |
| OpenAlex ID | https://openalex.org/W3037226097 |
| PMID | 32593834 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Panos G. Georgopoulos](https://scholariq.org/researchers/panos-g-georgopoulos/)

## Paper journal

- [Environment International](https://scholariq.org/journals/environment-international/)

## Paper primary topic

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)

## Paper topics

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Atmospheric chemistry and aerosols](https://scholariq.org/topics/atmospheric-chemistry-and-aerosols/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.