Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges

Journal article

This report provides a snapshot of the research publications for authors affiliated with the Geosciences department at the University of Arkansas, Fayetteville, for the period 2018-2023. It includes publications by material type; co-author characteristics; ranking of journals according to journal citation reports

Authors: Li, X; Xu, H; Huang, X; Guo, CA; Kang, Y

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer Nature
• Journal: Computational Urban Science
• Volume: 1
• Issue: 1
• Pages: 22-22
• Article number: 22
• Publication date: 2021-09-26
• DOI: 10.1007/s43762-021-00022-x
• ISSN: 2730-6852
• Language: English
• Keywords: Data science; Big data; Analytics; Geography; World Wide Web; Context (archaeology); Mobility model; Location data; Coronavirus disease 2019 (COVID-19); Social media; Data mining; Mobile device; Telecommunications; Computer science; The Internet; Internet privacy; Pandemic