Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Electronic versions
Documents
- Creating storytelling
Final published version, 2.62 MB, PDF document
- 1014-file-i36
Final published version, 30.7 MB, video/mp4
In this bulletin video, we summarize a novel technique for authoring storytelling visualization [3–5]. The technique was developed by one of the teams in the RAMPVIS project [1, 2], which provided visualization support to epidemiological modeling during the COVID-19 pandemic. The team explored the prevailing approaches,
in the UK and internationally, for creating public-facing visualizations related to the pandemic. This ranged from those produced by a number of governments (e.g., the four home nations in the UK), organizations (e.g., WHO, UK ONS), universities (e.g., Johns Hopkins dashboards), media outlets (e.g., FT Coronavirus tracker),
and non-commercial web services (e.g., Worldometers). The team concluded that we should complement, but not duplicate, the existing effort, and defined our goal as to inform the public through advanced storytelling visualization.
in the UK and internationally, for creating public-facing visualizations related to the pandemic. This ranged from those produced by a number of governments (e.g., the four home nations in the UK), organizations (e.g., WHO, UK ONS), universities (e.g., Johns Hopkins dashboards), media outlets (e.g., FT Coronavirus tracker),
and non-commercial web services (e.g., Worldometers). The team concluded that we should complement, but not duplicate, the existing effort, and defined our goal as to inform the public through advanced storytelling visualization.
Keywords
- Visualization, Visual Analytics, COVID-19 responses, data patterns, storytelling, volunteering operation
| Original language | English |
|---|---|
| Title of host publication | IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes) |
| Publisher | IEEE |
| Publication status | Published - Oct 2023 |
| Event | IEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia Duration: 22 Oct 2023 → 27 Oct 2023 https://ieeevis.org/year/2023/welcome |
Conference
| Conference | IEEE VIS: Visualization & Visual Analytics |
|---|---|
| Abbreviated title | IEEE VIS |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 22/10/23 → 27/10/23 |
| Internet address |
Research outputs (1)
- Accepted/In press
Fostering Creative Visualisation Skills Through Data-Art Exhibitions
Research output: Contribution to conference › Paper › peer-review