文献类型： 会议论文
第一作者： Aidan Slingsby
作者： Aidan Slingsby 1 ; Richard Reeve 2 ; Claire Harris 3 ;
作者机构： 1.Department of Computer Science City, University of London
2.School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow
3.Biomathematics and Statistics Scotland, James Hutton Institute
关键词： COVID-19;Pandemics;Computational modeling;Visual analytics;Encoding;Task analysis
会议名称： IEEE Visualization Conference
主办单位：
页码： 1-5
摘要： We describe our use of gridded glyphmaps to support development of a repurposed COVID-19 infection model during the height of the pandemic. We found that gridded glyphmaps’ ability to interactive summarise multivariate model input, intermediate results and outputs across multiple scales supported our model development tasks in ways that the modellers had not previously seen. We recount our experiences, reflect on potential to support more spatial model development more generally and suggest areas of further work.
分类号： tp391
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