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Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan

Tin Thongthammachart, Shin Araki, Hikari Shimadera, Tomohito Matsuo, Akira Kondo

2022Environmental Modelling & Software62 citationsDOI

Topics & Concepts

Gradient boostingBoosting (machine learning)RegressionRegression analysisEnvironmental scienceMeteorologyMachine learningStatisticsComputer scienceGeographyMathematicsRandom forestAir Quality and Health ImpactsAir Quality Monitoring and ForecastingAtmospheric chemistry and aerosols
Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan | Litcius