Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data
Proc. ACM SIGSPATIAL Int. Workshop Model. Underst. Spread COVID, COVID
; : 53-62, 2020.
Article
in English
| Scopus | ID: covidwho-991925
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. © 2020 ACM.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Proc. ACM SIGSPATIAL Int. Workshop Model. Underst. Spread COVID, COVID
Year:
2020
Document Type:
Article
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