Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data
Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data
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DOI：
10.1145/3423459.3430761
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
H. Samet;Yunheng Han;J. Kastner;Hong Wei
中科院分区：
文献类型：
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作者：
H. Samet;Yunheng Han;J. Kastner;Hong Wei
CoronaViz（http：coronaviz.umiacs.io）是我们开发的一个研究原型，通过允许基础空间区域和跨越的时间间隔发生变化，可以实现COVID-19相关变量的动态地图可视化，包括来自约翰霍普金斯大学网站ter.ps/coronajhu的每日确诊病例、活跃病例、康复和死亡人数。可以查看变量的任何组合。存在杂乱的可能性，这通过使用半径值对应于变量值的同心圆（称为地理圆）来避免。变量值以累积和逐日为基础提供。可视化实现了空间和时间变化。
CoronaViz (http://coronaviz.umiacs.io) is a research prototype developed by us to enable the dynamic map visualization of COVID-19 related variables including the number of confirmed cases, active cases, recoveries, and deaths all on a daily basis from the Johns Hopkins University web site at ter.ps/coronajhu, by allowing the underlying spatial region and the spanned time interval to vary. Any combination of the variables can be viewed. subject to a possibility of clutter which is avoided by the use of concentric circles (termed geo-circles) whose radius values correspond to the variable values. The variable values are provided both on cumulative and day-by-day bases. The visualization enables spatial and temporal variation.