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M3: visual exploration of spatial relationships between flight trajectories

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Abstract

Outlier detection and clustering are important to analyze trajectory. While many algorithms have been developed to tackle these issues, they lack the combination with visualization to enable the involvement of human intelligence during the analyzing process. We propose a visual framework called M3, which combines data mining algorithms with visualization technique through three coordinated views: Map, MST, and FSDMatrix. Map view displays the spatial information of trajectories. MST is a minimum spanning tree, which presents the relationships between trajectories. In MST, each node represents a trajectory; edges between nodes denote the Fréchet distance between trajectories. FSDMatrix shows a matrix of pairwise Free Space Diagram to assist in detecting outliers and clustering trajectories. The three views are interacted with each other. Through case studies, we discuss the applicability of our framework and demonstrate the convenience brought by it.

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Authors and Affiliations

  1. Tianjin University, No.135, Yaguan Road, Jinnan District, Tianjin, China

    Hutong Wu, Shicao Jia & Jiawan Zhang

  2. Southwest Electric & Telecom Engineering Institute, Chengdu, China

    Jinsong Wang

Authors
  1. Hutong Wu
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  2. Shicao Jia
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  3. Jinsong Wang
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  4. Jiawan Zhang
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Correspondence to Hutong Wu.

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Wu, H., Jia, S., Wang, J. et al. M3: visual exploration of spatial relationships between flight trajectories. J Vis 21, 457–470 (2018). https://doi.org/10.1007/s12650-017-0471-1

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  • DOI: https://doi.org/10.1007/s12650-017-0471-1

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