Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation

August 06, 2019 ยท Declared Dead ยท ๐Ÿ› IEEE Transactions on Visualization and Computer Graphics

๐Ÿ‘ป CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Yalong Yang, Tim Dwyer, Sarah Goodwin, Kim Marriott arXiv ID 1908.02052 Category cs.HC: Human-Computer Interaction Cross-listed cs.GR, cs.MM Citations 92 Venue IEEE Transactions on Visualization and Computer Graphics Last Checked 2 months ago
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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Human-Computer Interaction

Died the same way โ€” ๐Ÿ‘ป Ghosted