Decluttering Geographic Data View Displays

To reduce clutter on wide-area geographic data view displays of electric power systems, substations in geographically compact areas should be spread out and line overlaps and intersections minimized. Such patterns optimized with respect to given constraints can be modeled as a multicommodity flow pr...

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Bibliographic Details
Published in:Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018-09, Vol.62 (1), p.1653-1657
Main Authors: Rantanen, Esa M., Hochberg, Limor, Di, Mingyang, Klabjan, Diego
Format: Article
Language:English
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Summary:To reduce clutter on wide-area geographic data view displays of electric power systems, substations in geographically compact areas should be spread out and line overlaps and intersections minimized. Such patterns optimized with respect to given constraints can be modeled as a multicommodity flow problem. Due to the size of the developed model, we developed two clustering-based iterative algorithms to decompose the global network into smaller regions and then iteratively solve the subproblem in each region by read-justing some values. Three solutions were selected for experimental evaluation. The experimental results were somewhat inconclusive, due to naïve participants, simple task, and limitations of the eye tracker. Nevertheless, two of the decluttered maps appeared to have distinct advantage over the baseline map, where substations were simply connected by straight lines, in terms of performance time and workload.
ISSN:1541-9312
2169-5067
2169-5067
1071-1813
DOI:10.1177/1541931218621375