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On the Use of ‘Glyphmaps’ for Analysing the Scale and Temporal Spread of COVID-19 Reported Cases
ISPRS International Journal of Geo-Information ( IF 3.4 ) Pub Date : 2021-04-01 , DOI: 10.3390/ijgi10040213
Roger Beecham , Jason Dykes , Layik Hama , Nik Lomax

Recent analysis of area-level COVID-19 cases data attempts to grapple with a challenge familiar to geovisualization: how to capture the development of the virus, whilst supporting analysis across geographic areas? We present several glyphmap designs for addressing this challenge applied to local authority data in England whereby charts displaying multiple aspects related to the pandemic are given a geographic arrangement. These graphics are visually complex, with clutter, occlusion and salience bias an inevitable consequence. We develop a framework for describing and validating the graphics against data and design requirements. Together with an observational data analysis, this framework is used to evaluate our designs, relating them to particular data analysis needs based on the usefulness of the structure they expose. Our designs, documented in an accompanying code repository, attend to common difficulties in geovisualization design and could transfer to contexts outside of the UK and to phenomena beyond the pandemic.

中文翻译:

关于使用“字形图”分析COVID-19报告病例的规模和时间分布的研究

最近对地区COVID-19病例数据的分析试图应对地理可视化所面临的挑战:如何在支持跨地理区域分析的同时捕捉病毒的发展?我们提出几个字形图为应对应用于英国地方政府数据的这一挑战而进行的设计,从而将显示与大流行有关的多个方面的图表进行了地理布置。这些图形在视觉上是复杂的,杂乱,遮挡和显着性偏差是不可避免的结果。我们开发了一个框架,用于根据数据和设计要求描述和验证图形。结合观察性数据分析,此框架用于评估我们的设计,并基于它们所暴露的结构的有用性将它们与特定的数据分析需求相关联。我们的设计记录在一个随附的代码存储库中,解决了地理可视化设计中的常见困难,并且可能会转移到英国以外的环境以及大流行以外的现象。
更新日期:2021-04-01
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