Abstract
Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.
| Original language | English |
|---|---|
| Article number | 7539669 |
| Pages (from-to) | 411-420 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2017 |
Keywords
- Flow maps
- Matrix visualisation
- Cartographic information visualisation
Prizes
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IEEE InfoVis Best Paper Honorable Mention Award
Yang, Y. (Recipient), Dwyer, T. (Recipient), Goodwin, S. (Recipient) & Marriott, K. (Recipient), 2016
Prize: Prize (including medals and awards)