A spatially varying coefficient model for mapping PM10 air quality at the European scale

Keyphrases

• Air Quality 100%
• Spatially Varying Coefficients 100%
• Spatially Varying Coefficient Model 100%
• PM10 100%
• European Scale 100%
• Chemistry Transport Model 57%
• PM10 Concentration 42%
• Spatially Variable 42%
• Geostatistical Model 28%
• Mitigation Strategies 28%
• Human Health 14%
• Prediction Accuracy 14%
• Europe 14%
• Pollutants 14%
• Evaluation Model 14%
• Exceedance Probability 14%
• LOTOS-EUROS 14%
• Regression Coefficient 14%
• Credible Interval 14%
• Assessment Strategy 14%
• Eastern Europe 14%
• Health Impact 14%
• Air Quality Monitoring 14%
• Concentration Limit 14%
• Compliance Monitoring 14%
• Markov Chain Monte Carlo 14%
• Geostatistics 14%
• Map Scale 14%
• Model Fitting 14%
• Particulate Matter 14%
• Emission Database 14%
• Evaluation Purposes 14%
• Bayesian Hierarchical Model 14%
• In Situ Observation 14%
• Median Prediction 14%
• Threshold Exceedance 14%
• Posterior Predictive Simulation 14%
• Model Use 14%
• Statutory Limits 14%
• Southern Europe 14%
• Covariance Function 14%
• Central Europe 14%
• Monitoring Progress 14%
• Uncertainty Quantification 14%

Earth and Planetary Sciences

• Air Quality 100%
• Emissions 33%
• Europe 33%
• Regression Coefficient 33%
• Atmospheric Aerosol 33%
• Human Health 33%
• Covariance 33%
• Eastern Europe 33%
• Markov Chain Monte Carlo 33%
• Limit Value 33%
• Geostatistics 33%
• Central Europe 33%
• Southern Europe 33%