Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations.
This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution.
1. Chapter 1: Introduction to spatiotemporal variations of ambient air pollutants and related public health impacts - p. xii 2. Chapter 2: Statistical analysis for air pollution data - p. 34 3. Chapter 3: Case study: Does PM2.5 contribute to the incidence of lung and bronchial cancers in the United States? - p. 68 4. Chapter 4: Bayesian hierarchical modeling for the linkages between air pollution and population health - p. 89 5. Chapter 5: Machine learning for spatiotemporal big data in air pollution - p. 105 6. Chapter 6: Integrate machine learning and geostatistics for high-resolution mapping of ground-level PM2.5 concentrations - p. 134 7. Chapter 7: Spatiotemporal interpolation methods for air pollution - p. 151 8. Chapter 8: Sensing air quality: Spatiotemporal interpolation and visualization of real-time air pollution data for the contiguous United States - p. 167 9. Chapter 9: Assessment methods for air pollution exposure - p. 196 10. Chapter 10: Applying LUR model to estimate spatial variation of PM2.5 in the Greater Bay Area, China - p. 206 11. Chapter 11: Analysis of exposure to ambient air pollution: Case study of the link between environmental exposure and children’s school performance in Memphis, TN - p. 215 12. Chapter 12: Concentrating risk? The geographic concentration of health risk from industrial air toxics across America - p. 275 13. Chapter 13: Travel-related exposure to air pollution and its socio-environmental inequalities: Evidence from a week-long GPS-based travel diary dataset - p. 292 14. Index - p. 311
Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations.
This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution.
1. Chapter 1: Introduction to spatiotemporal variations of ambient air pollutants and related public health impacts - p. xii 2. Chapter 2: Statistical analysis for air pollution data - p. 34 3. Chapter 3: Case study: Does PM2.5 contribute to the incidence of lung and bronchial cancers in the United States? - p. 68 4. Chapter 4: Bayesian hierarchical modeling for the linkages between air pollution and population health - p. 89 5. Chapter 5: Machine learning for spatiotemporal big data in air pollution - p. 105 6. Chapter 6: Integrate machine learning and geostatistics for high-resolution mapping of ground-level PM2.5 concentrations - p. 134 7. Chapter 7: Spatiotemporal interpolation methods for air pollution - p. 151 8. Chapter 8: Sensing air quality: Spatiotemporal interpolation and visualization of real-time air pollution data for the contiguous United States - p. 167 9. Chapter 9: Assessment methods for air pollution exposure - p. 196 10. Chapter 10: Applying LUR model to estimate spatial variation of PM2.5 in the Greater Bay Area, China - p. 206 11. Chapter 11: Analysis of exposure to ambient air pollution: Case study of the link between environmental exposure and children’s school performance in Memphis, TN - p. 215 12. Chapter 12: Concentrating risk? The geographic concentration of health risk from industrial air toxics across America - p. 275 13. Chapter 13: Travel-related exposure to air pollution and its socio-environmental inequalities: Evidence from a week-long GPS-based travel diary dataset - p. 292 14. Index - p. 311
