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Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation
- Source :
- IEEE Transactions on Visualization and Computer Graphics 23:1 (2017) 411-420
- Publication Year :
- 2019
-
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.<br />Comment: Presented at IEEE Conference on Information Visualization (InfoVis 2016). Awarded Best Paper Honorable Mention. Part of PhD thesis arXiv:1908.00662
Details
- Database :
- arXiv
- Journal :
- IEEE Transactions on Visualization and Computer Graphics 23:1 (2017) 411-420
- Publication Type :
- Report
- Accession number :
- edsarx.1908.02052
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/TVCG.2016.2598885