This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution.
- Introduces readers to the benefits and uses of geo-spatiotemporal analyses of big data to reveal new and greater understanding of the intersection of air pollution and health
- Ties in machine learning to improve speed and efficacy of data models
- Includes developing visualizations, historical data, and real-time air pollution in large geographic areas
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