Spatial Modeling of Daily PM<sub>2.5</sub>, NO<sub>2</sub>, and CO Concentrations Measured by a Low-Cost Sensor Network: Comparison of Linear, Machine Learning, and Hybrid Land Use Models
Sakshi Jain, Albert A. Presto, Naomi Zimmerman
Abstract
predictions, suggesting that this approach may improve our ability to map air pollutants at high spatiotemporal resolution.
Topics & Concepts
Random forestEnvironmental scienceScale (ratio)Spatial ecologySample (material)Computer scienceMachine learningCartographyGeographyChemistryBiologyChromatographyEcologyAir Quality Monitoring and ForecastingAir Quality and Health ImpactsVehicle emissions and performance