Mapping COVID-19 in Space and Time / Human Dynamics in Smart Cities (PDF)
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This book describes the spatial and temporal perspectives on COVID-19 and its impacts and deepens our understanding of human dynamics during and after the global pandemic. It critically examines the role smart city technologies play in shaping our lives in the years to come. The book covers a wide-range of issues related to conceptual, theoretical and data issues, analysis and modeling, and applications and policy implications such as socio-ecological perspectives, geospatial data ethics, mobility and migration during COVID-19, population health resilience and much more.
With accelerated pace of technological advances and growing divide on political and policy options, a better understanding of disruptive global events such as COVID-19 with spatial and temporal perspectives is an imperative and will make the ultimate difference in public health and economic decision making. Through in-depth analyses of concepts, data, methods, and policies, this book stimulates future studieson global pandemics and their impacts on society at different levels.
Daniel Sui is Vice President for Research and Innovation at Virginia Tech, Blacksburg, USA, and Professor of Geography and Public & International Affairs. Prior to Virginia Tech, Dr. Sui was vice chancellor for research and innovation and a distinguished professor at the University of Arkansas, Fayetteville (2018-2020). Dr. Sui also served as Division Director for Social & Economic Sciences at the U.S. National Science Foundation (NSF) between 2016 and 2018. He was an Arts and Sciences Distinguished Professor at the Ohio State University (OSU) between 2009 and 2018. Dr. Sui was a 2009 Guggenheim Fellow and recipient of both AAG and CPGIS distinguished scholar award.
- 2021, 1st ed. 2021, 358 Seiten, Englisch
- Herausgegeben: Shih-Lung Shaw, Daniel Sui
- Verlag: Springer International Publishing
- ISBN-10: 3030728080
- ISBN-13: 9783030728083
- Erscheinungsdatum: 14.07.2021
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- Dateiformat: PDF
- Größe: 12 MB
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