Litcius/Paper detail

National PM2.5 spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000–2019

Meng Wang, Michael T. Young, Julian Marshall, Logan Piepmeier, Jianzhao Bi, Joel D. Kaufman, Adam A. Szpiro

2024Environmental Pollution21 citationsDOIOpen Access PDF

Topics & Concepts

KrigingRegressionEnvironmental scienceRegression analysisLand useEnvironmental monitoringEconometricsStatisticsEnvironmental resource managementComputer scienceData miningMathematicsEnvironmental engineeringEcologyBiologyAir Quality and Health ImpactsAtmospheric chemistry and aerosolsAir Quality Monitoring and Forecasting
National PM2.5 spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000–2019 | Litcius