Spatiotemporal Analysis of Air Pollution and Its Application in Public Health
- 1st Edition - November 13, 2019
- Imprint: Elsevier
- Editors: Lixin Li, Xiaolu Zhou, Weitian Tong
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 8 2 2 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 6 5 2 6 - 3
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… Read more
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Request a sales quoteSpatiotemporal 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.
- 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
Researchers, students and practitioners in Atmospheric Science and other related sciences studying impacts of Air Pollution
- Edition: 1
- Published: November 13, 2019
- No. of pages (Paperback): 328
- No. of pages (eBook): 328
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128158227
- eBook ISBN: 9780128165263
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Lixin Li
Lixin Li is a tenured Professor in the Department of Computer Science at Georgia Southern University. She received her Ph.D. degree in Computer Science from the University of Nebraska-Lincoln in 2003. Her research focuses on spatiotemporal interpolation methods, air pollution, and GIS applications
Affiliations and expertise
Professor, Department of Computer Sciences, Georgia Southern UniversityXZ
Xiaolu Zhou
Xiaolu Zhou received his Ph.D. degree from University of Illinois at Urbana-Champaign in 2014. His research interests include geospatial analytics in spatial big data and human mobility analysis based on user generated content and smartphone sensing.
Affiliations and expertise
Assistant Professor, Department of Geography, Texas Christian UniversityWT
Weitian Tong
Weitian Tong received his Ph.D. degree in Computer Science from the University of Alberta in 2015. His research interests include data science and optimization algorithm design.
Affiliations and expertise
Assistant Professor, Department of Computer Science, Eastern Michigan UniversityRead Spatiotemporal Analysis of Air Pollution and Its Application in Public Health on ScienceDirect