Literature DB >> 27875157

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

Yalong Yang, Tim Dwyer, Sarah Goodwin, Kim Marriott.   

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.

Entities:  

Year:  2017        PMID: 27875157     DOI: 10.1109/TVCG.2016.2598885

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  Juniper: A Tree+ Table Approach to Multivariate Graph Visualization.

Authors:  Carolina Nobre; Marc Streit; Alexander Lex
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-09-03       Impact factor: 4.579

2.  TriPlan: an interactive visual analytics approach for better tourism route planning.

Authors:  Xinyi Zhang; Xiao Pang; XiaoLin Wen; Fengjie Wang; Changlin Li; Min Zhu
Journal:  J Vis (Tokyo)       Date:  2022-08-16       Impact factor: 1.974

3.  Graffinity: Visualizing Connectivity in Large Graphs.

Authors:  E Kerzner; A Lex; C L Sigulinsky; T Umess; B W Jones; R E Marc; M Meyer
Journal:  Comput Graph Forum       Date:  2017-07-04       Impact factor: 2.078

  3 in total

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