Spatiotemporal analysis of air pollution and its application in public health / edited by Lixin Li, Xiaolu Zhou, Weitian Tong.

Format:

Book

Contributor:

Elsevier.

Li, Lixin, editor.

Zhou, Xiaolu, editor.

Tong, Weitian, editor.

Language:

English

Subjects (All):

Air--Pollution--Remote sensing.

Air.

Air--Pollution--Statistical methods.

Spatial analysis (Statistics).

Air--Pollution.

Physical Description:

1 online resource (xii, 321 pages) : illustrations, maps

Place of Publication:

Amsterdam, Netherlands : Elsevier, 2020.

System Details:

data file

Summary:

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. -- Provided by publisher.

Contents:

1. Introduction to spatiotemporal variations of ambient air pollutants and related public health impacts / Atin Adhikari

2. Statistical analysis for air pollution data / Jingjing Yin, Hao Zhang and Lixin Li

3. Case study: Does PM(2.5) contribute to the incidence of lung and bronchial cancers in the United States? / Jing Kersey and Jingjing Yin

4. Bayesian hierarchical modeling for the linkages between air pollution and population health / Yongping Hao, Hope Landrine, Michele Ver Ploeg and Xingyou Zhang

5. Machine learning for spatiotemporal big data in air pollution / Weitian Tong

6. Integrate machine learning and geostatistics for high-resolution mapping of ground-level PM(2.5) concentrations / Ying Liu, Guofeng Cao and Naizhuo Zhao

7. Spatiotemporal interpolation methods for air pollution / Lixin Li, Weitian Tong and Reinhard Piltner

8. Sensing air quality: Spatiotemporal interpolation and visualization of real-time air pollution data for the contiguous United States / Marc Kalo, Xiaolu Zhou, Lixin Li, Weitian Tong and Reinhard Piltner

9. Assessment methods for air pollution exposure / Zheng Cao

10. Applying LUR model to estimate spatial variation of PM2.5 in the Greater Bay Area, China / Lingling Chen, Zhifeng Wu, Wei Tu and Zheng Cao

11. Analysis of exposure to ambient air pollution: Case study of the link between environmental exposure and children's school performance in Memphis, TN / Anzhelika (Angela) Antipova

12. Concentrating risk? The geographic concentration of health risk from industrial air toxics across America / Kerry Ard and Clair Bullock

13. Travel-related exposure to air pollution and its socio-environmental inequalities: Evidence from a week-long GPS-based travel diary dataset / Wenbo Guo, Yanwei Chai and Mei-Po Kwan.

Notes:

Description based on online resource (Science Direct, viewed December 16, 2019).

Includes bibliographical references and index.

Other Format:

Print version: Li, Lixin Spatiotemporal Analysis of Air Pollution and Its Application in Public Health

ISBN:

9780128165263

012816526X

OCLC:

1131792328

Access Restriction:

Restricted for use by site license.