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Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling

Slingsby, A. ORCID: 0000-0003-3941-553X, Reeve, R. & Harris, C. (2023). Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling. In: 2023 IEEE Visualization and Visual Analytics (VIS). IEEE VIS: Visualization & Visual Analytics, 22-27 Oct 2023, Melbourne, Australia. doi: 10.1109/VIS54172.2023.00009


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.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: Best VIS Short Paper. © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Human-centered computing, Visualization, Visualization techniques
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
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