Decluttering Geographic Data View Displays

Esa M Rantanen, Limor Hochberg, Mingyang Di, Diego Klabjan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish (US)
Title of host publication Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2018)
Pages1653-1657
Number of pages5
Volume32
Edition1
DOIs
StatePublished - Sep 27 2018

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    Rantanen, E. M., Hochberg, L., Di, M., & Klabjan, D. (2018). Decluttering Geographic Data View Displays. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2018) (1 ed., Vol. 32, pp. 1653-1657) https://doi.org/10.1177/1541931218621375