國立高雄大學圖資館 |

Mapping COVID-19 in space and timeunderstanding the spatial and temporal dynamics of a global pandemic /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mapping COVID-19 in space and timeedited by Shih-Lung Shaw, Daniel Sui.
Reminder of title:	understanding the spatial and temporal dynamics of a global pandemic /
other author:	Shaw, Shih-Lung.
Published:	Cham :Springer International Publishing :2021.
Description:	xi, 358 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	COVID-19 Pandemic, 2020-
Online resource:	https://doi.org/10.1007/978-3-030-72808-3
ISBN:	9783030728083$q(electronic bk.)

Mapping COVID-19 in space and timeunderstanding the spatial and temporal dynamics of a global pandemic /
Mapping COVID-19 in space and timeunderstanding the spatial and temporal dynamics of a global pandemic /[electronic resource] :edited by Shih-Lung Shaw, Daniel Sui. - Cham :Springer International Publishing :2021. - xi, 358 p. :ill., digital ;24 cm. - Human dynamics in smart cities,2523-7780. - Human dynamics in smart cities..

Preface: Michael Goodchild -- Chapter 1: Understanding the spatial and temporal dynamics of a global pandemic: Shih-Lung Shaw, Daniel Sui -- Section 1: Conceptual and Theoretical Perspectives: Chapter 2: A Power-Law-Based Approach to Mapping COVID-19 Cases in the United States: Bin Jiang and Chris de Rijke -- Chapter 3: Individual, context, and space: Using spatial approaches for understanding unequal social and psychological fallout of COVID-19: Grant Drawve, Casey Harris, and Kevin Fitzpatrick -- Chapter 4: An encrypted monument in the COVID-19 pandemic: A case study of crypto place on the blockchain: Xu Huang and Bo Zhao -- Chapter 5: Emotional responses through COVID-19 in Singapore: Yingwei Yan, Wei Chien Benny Chin, Chan-Hoong Leong, Yi-Chen Wang, and Chen-Chieh Feng -- Chapter 6: A socio-ecological perspective on COVID-19 spatiotemporal integrated vulnerability in Singapore: Chan-Hoong Leong, Benny Wei-Chien Chin, Yi-Chen Wang, and Chen-Chieh Feng -- Section 2: Data Perspectives: Chapter 7: Assessing connections and tradeoffs between geospatial data ethics, privacy, and the effectiveness of digital contact tracing technologies: Peter Kedron and Andrew B. Trgovac -- Chapter 8: Challenges and limitations of geospatial data in the context of COVID-19: Sean G. Young; Jyotishka Datta; Bandana Kar; Xiao Huang; Malcolm D. Williamson; Jason A. Tullis; and Jackson Cothren -- Chapter 9: Multi-level inter-regional migrant population estimation using multi-source spatiotemporal big data: A case study of migrants in Hubei Province during the outbreak of COVID-19 in Wuhan: Qian Jiale, Liu Zhang, Du Yunyan, Wang Nan, Yi Jiawei, Sun Yeran, Ma Ting, Pei Tao and Zhou Chenghu -- Section 3: Analysis and Modeling Perspectives: Chapter 10: Identifying and characterising active travel corridors for London in response to Covid-19 using shortest path and Streetspace analysis: Nicolas Palominos, Duncan A Smith, and Sam Griffiths -- Chapter 11: Multi-scale CyberGIS analytics for detecting spatiotemporal patterns of COVID-19: Fangzheng Lyu, Jeon-Young Kang, Shaohua Wang, Su Yeon Han, and Shaowen Wang -- Chapter 12: Dynamic spreading of COVID-19 vs community mobility in regions of England: Tao Cheng, Xinchen Zhong, Yang Zhang, and Guanshen Dong -- Chapter 13: Exploring store visit changes during the COVID-19 pandemic using mobile phone location data: Yunlei Liang, Kyle W. McNair, Song Gao, and Asligul Gocmen -- Section 4: Application and Policy Perspectives: Chapter 14: Citizen mobility and the growth of infections during the COVID-19 pandemic with the effects of government restrictions in Western Europe: Mohd Sarim, Qunshan Zhao, and Nick Bailey -- Chapter 15: A mathematical model for evaluating the medical resource availability of COVID-19 in time and space: Fei-Ying Kuo and Tzai-Hung Wen -- Chapter 16: Health resilience against pandemic crisis among European countries: Yijing Li -- Chapter 17: Improving public transportation safety in COVID-19 era through crowdsourcing technique: Qisheng Pan, Zhonghua Jin, and Tao Tao -- Chapter 18: Outlook and next steps: Understanding human dynamics in a post-pandemic world - Beyond mapping COVID-19 in space and time: Daniel Sui and Shih-Lung Shaw.

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 studies on global pandemics and their impacts on society at different levels.

ISBN: 9783030728083$q(electronic bk.)

Standard No.: 10.1007/978-3-030-72808-3doiSubjects--Topical Terms:

890299
COVID-19 Pandemic, 2020-

LC Class. No.: RA644.C67 / M36 2021

Dewey Class. No.: 362.1962414

Mapping COVID-19 in space and timeunderstanding the spatial and temporal dynamics of a global pandemic /
LDR:05391nmm a2200337 a 4500 001 605664
003 DE-He213
005 20210714145700.0
006 m d
007 cr nn 008maaau
008 211201s2021 sz s 0 eng d
020 $a 9783030728083$q(electronic bk.)
020 $a 9783030728076$q(paper)
024 7 $a 10.1007/978-3-030-72808-3 $2 doi
035 $a 978-3-030-72808-3
040 $a GP $c GP
041 0 $a eng
050 4 $a RA644.C67 $b M36 2021
072 7 $a RGC $2 bicssc
072 7 $a SOC015000 $2 bisacsh
072 7 $a RGC $2 thema
082 0 4 $a 362.1962414 $2 23
090 $a RA644.C67 $b M297 2021
245 0 0 $a Mapping COVID-19 in space and time $h [electronic resource] : $b understanding the spatial and temporal dynamics of a global pandemic / $c edited by Shih-Lung Shaw, Daniel Sui.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xi, 358 p. : $b ill., digital ; $c 24 cm.
490 1 $a Human dynamics in smart cities, $x 2523-7780
505 0 $a Preface: Michael Goodchild -- Chapter 1: Understanding the spatial and temporal dynamics of a global pandemic: Shih-Lung Shaw, Daniel Sui -- Section 1: Conceptual and Theoretical Perspectives: Chapter 2: A Power-Law-Based Approach to Mapping COVID-19 Cases in the United States: Bin Jiang and Chris de Rijke -- Chapter 3: Individual, context, and space: Using spatial approaches for understanding unequal social and psychological fallout of COVID-19: Grant Drawve, Casey Harris, and Kevin Fitzpatrick -- Chapter 4: An encrypted monument in the COVID-19 pandemic: A case study of crypto place on the blockchain: Xu Huang and Bo Zhao -- Chapter 5: Emotional responses through COVID-19 in Singapore: Yingwei Yan, Wei Chien Benny Chin, Chan-Hoong Leong, Yi-Chen Wang, and Chen-Chieh Feng -- Chapter 6: A socio-ecological perspective on COVID-19 spatiotemporal integrated vulnerability in Singapore: Chan-Hoong Leong, Benny Wei-Chien Chin, Yi-Chen Wang, and Chen-Chieh Feng -- Section 2: Data Perspectives: Chapter 7: Assessing connections and tradeoffs between geospatial data ethics, privacy, and the effectiveness of digital contact tracing technologies: Peter Kedron and Andrew B. Trgovac -- Chapter 8: Challenges and limitations of geospatial data in the context of COVID-19: Sean G. Young; Jyotishka Datta; Bandana Kar; Xiao Huang; Malcolm D. Williamson; Jason A. Tullis; and Jackson Cothren -- Chapter 9: Multi-level inter-regional migrant population estimation using multi-source spatiotemporal big data: A case study of migrants in Hubei Province during the outbreak of COVID-19 in Wuhan: Qian Jiale, Liu Zhang, Du Yunyan, Wang Nan, Yi Jiawei, Sun Yeran, Ma Ting, Pei Tao and Zhou Chenghu -- Section 3: Analysis and Modeling Perspectives: Chapter 10: Identifying and characterising active travel corridors for London in response to Covid-19 using shortest path and Streetspace analysis: Nicolas Palominos, Duncan A Smith, and Sam Griffiths -- Chapter 11: Multi-scale CyberGIS analytics for detecting spatiotemporal patterns of COVID-19: Fangzheng Lyu, Jeon-Young Kang, Shaohua Wang, Su Yeon Han, and Shaowen Wang -- Chapter 12: Dynamic spreading of COVID-19 vs community mobility in regions of England: Tao Cheng, Xinchen Zhong, Yang Zhang, and Guanshen Dong -- Chapter 13: Exploring store visit changes during the COVID-19 pandemic using mobile phone location data: Yunlei Liang, Kyle W. McNair, Song Gao, and Asligul Gocmen -- Section 4: Application and Policy Perspectives: Chapter 14: Citizen mobility and the growth of infections during the COVID-19 pandemic with the effects of government restrictions in Western Europe: Mohd Sarim, Qunshan Zhao, and Nick Bailey -- Chapter 15: A mathematical model for evaluating the medical resource availability of COVID-19 in time and space: Fei-Ying Kuo and Tzai-Hung Wen -- Chapter 16: Health resilience against pandemic crisis among European countries: Yijing Li -- Chapter 17: Improving public transportation safety in COVID-19 era through crowdsourcing technique: Qisheng Pan, Zhonghua Jin, and Tao Tao -- Chapter 18: Outlook and next steps: Understanding human dynamics in a post-pandemic world - Beyond mapping COVID-19 in space and time: Daniel Sui and Shih-Lung Shaw.
520 $a 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 studies on global pandemics and their impacts on society at different levels.
650 0 $a COVID-19 Pandemic, 2020- $3 890299
650 0 $a COVID-19 Pandemic, 2020- $x Social aspects. $3 893574
650 0 $a Smart cities. $3 820761
650 1 4 $a Human Geography. $3 274571
650 2 4 $a Public Health. $3 320661
650 2 4 $a Computer Applications. $3 273760
650 2 4 $a Geography, general. $3 730920
700 1 $a Shaw, Shih-Lung. $3 265137
700 1 $a Sui, Daniel. $3 807097
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Human dynamics in smart cities. $3 831322
856 4 0 $u https://doi.org/10.1007/978-3-030-72808-3
950 $a Social Sciences (SpringerNature-41176)