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|a eng
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|a Yang, Yalong
|e verfasserin
|4 aut
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|a Many-to-Many Geographically-Embedded Flow Visualisation
|b An Evaluation
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|c 2017
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|a Date Completed 30.07.2018
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|a Date Revised 30.07.2018
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a 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
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|a Dwyer, Tim
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1 |
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|a Goodwin, Sarah
|e verfasserin
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| 700 |
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|a Marriott, Kim
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 23(2017), 1 vom: 03. Jan., Seite 411-420
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