Visualization of COVID-19 spread based on spread and extinction indexes
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-020-2828-1.pdf
Reference5 articles.
1. Zhou T, Liu Q, Yang Z, et al. Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV. 2020. ArXiv: 2001.10530
2. Wang D Q, Guo D H, Zhang H. Spatial temporal data visualization in emergency management: a view from data-driven decision. In: Proceedings of the 3rd ACM SIGSPATIAL Workshop on Emergency Management, 2017. 1–7
3. Dimara E, Perin C. What is interaction for data visualization? IEEE Trans Visual Comput Graph, 2020, 26: 119–129
4. Robertson G, Fernandez R, Fisher D, et al. Effectiveness of animation in trend visualization. IEEE Trans Visual Comput Graph, 2008, 14: 1325–1332
5. Kosara R. Presentation-oriented visualization techniques. IEEE Comput Grap Appl, 2016, 36: 80–85
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