An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-Level Ozone in the Contiguous United States
Weeberb J. Réquia, Qian Di, Rachel Silvern, James T. Kelly, Petros Koutrakis, Loretta J. Mickley, Melissa P. Sulprizio, Heresh Amini, Liuhua Shi, Joel Schwartz
Abstract
over space and time, especially in health studies at an intra-urban scale.
Topics & Concepts
Gradient boostingRandom forestBoosting (machine learning)Artificial neural networkEnvironmental scienceScale (ratio)GridMeteorologyStatisticsGeographyComputer scienceMathematicsMachine learningCartographyGeodesyAir Quality and Health ImpactsAir Quality Monitoring and ForecastingClimate Change and Health Impacts