Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data

H. Samet, Yunheng Han, J. Kastner, Hong Wei
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引用次数: 15

Abstract

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.
使用动画可视化时空变化的COVID-19数据
CoronaViz (http://coronaviz.umiacs.io)是我们开发的研究原型,通过允许潜在的空间区域和跨越的时间间隔变化,将约翰霍普金斯大学网站(ter.ps/coronajhu)上的确诊病例数、活跃病例数、康复病例数、死亡病例数等每日新冠肺炎相关变量动态地图可视化。可以查看变量的任何组合。受杂波的可能性,这是避免使用同心圆(称为地圆),其半径值对应于可变值。可变值是按累积和按天提供的。可视化使空间和时间变化成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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