A novel hybrid spatiotemporal land use regression model system at the megacity scale

This publication has 41 references indexed in Scilit:

• A review on the human health impact of airborne particulate matter
  Environment International, 2015
• Spatiotemporal Modeling of Ozone Levels in Quebec (Canada): A Comparison of Kriging, Land-Use Regression (LUR), and Combined Bayesian Maximum Entropy–LUR Approaches
  Environmental Health Perspectives, 2014
• A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology
  Atmospheric Environment, 2013
• Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project
  Atmospheric Environment, 2013
• Effect of the number of measurement sites on land use regression models in estimating local air pollution
  Atmospheric Environment, 2012
• A review of land-use regression models to assess spatial variation of outdoor air pollution
  Atmospheric Environment, 2008
• Development and comparative analysis of tropospheric ozone prediction models using linear and artificial intelligence-based models in Mexicali, Baja California (Mexico) and Calexico, California (US)
  Environmental Modelling & Software, 2008
• Human health effects of air pollution
  Environmental Pollution, 2008
• Adverse health effects of outdoor air pollutants
  Environment International, 2006
• The role of air pollution in asthma and other pediatric morbidities
  Journal of Allergy and Clinical Immunology, 2005