Use of data imputation tools to reconstruct incomplete air quality datasets: A case-study in Temuco, Chile

Keyphrases

• Chile 100%
• Temuco 100%
• Data Imputation 100%
• Air Quality Dataset 100%
• Imputation Methods 80%
• K-nearest 40%
• Validation Set 40%
• Multiple Imputation 40%
• Mean Imputation 40%
• Performance Improvement 20%
• Particulate Matter 2.5 (PM2.5) 20%
• Air Quality 20%
• Missing Data 20%
• Environmental Epidemiology 20%
• Bayesian Principal Component Analysis 20%
• International Policy 20%
• Small Cities 20%
• Local Policy 20%
• Quality Variables 20%
• Exposure to Pollutants 20%
• Monitoring Station 20%
• Linear Regression Model 20%
• Mid-size Cities 20%
• Meteorological Variables 20%
• Realistic Scenario 20%
• Health Studies 20%

Mathematics

• Imputation Method 100%
• Data Imputation 100%
• Nearest Neighbor 50%
• Multiple Imputation 50%
• Conditionals 25%
• Real Life 25%
• Covariate 25%
• Principal Component Analysis 25%
• Linear Regression Model 25%
• Bayesian 25%