 Best Paper Award

Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling

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Aidan Slingsby, Richard Reeve, Claire Harris

 Room: Plenary-1

2023-10-24T05:25:00ZGMT-0600Change your timezone on the schedule page
2023-10-24T05:25:00Z

Exemplar figure, described by caption below — This gridded glyphmap shows the proportions of population (x-axis) in each grid square, by age group (y-axis; youngest at top) in different COVID-19 infection states (hue).

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Keywords

Modelling, spatial, temporal, COVID-19, interaction.

Abstract

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.