Prediction of PM2.5 concentrations at the locations of monitoring sites measuring PM10 and NOx, using generalized additive models and machine learning methods: A case study in London
Antonis Analitis, Benjamin Barratt, David C. Green, Andrew Beddows, Evangelia Samoli, Joel Schwartz, Klea Katsouyanni
Topics & Concepts
Random forestMean squared errorRegressionRegression analysisScale (ratio)Environmental scienceNOxPredictive modellingPollutantMachine learningComputer scienceMeteorologyStatisticsMathematicsGeographyCartographyCombustionOrganic chemistryChemistryAir Quality and Health ImpactsAir Quality Monitoring and ForecastingVehicle emissions and performance