Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 1
Proc. Int. Cartogr. Assoc., 1, 29, 2018
https://doi.org/10.5194/ica-proc-1-29-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 1, 29, 2018
https://doi.org/10.5194/ica-proc-1-29-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 May 2018

16 May 2018

Interactive visual exploration and analysis of origin-destination data

Linfang Ding1,2, Liqiu Meng2, Jian Yang3, and Jukka M. Krisp1 Linfang Ding et al.
  • 1University of Augsburg, Augsburg, Germany
  • 2Technical University of Munich, Munich, Germany
  • 3Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China

Keywords: Origin-destination, Interactive clustering, Parallel coordinates, Gradient line rendering

Abstract. In this paper, we propose a visual analytics approach for the exploration of spatiotemporal interaction patterns of massive origin-destination data. Firstly, we visually query the movement database for data at certain time windows. Secondly, we conduct interactive clustering to allow the users to select input variables/features (e.g., origins, destinations, distance, and duration) and to adjust clustering parameters (e.g. distance threshold). The agglomerative hierarchical clustering method is applied for the multivariate clustering of the origin-destination data. Thirdly, we design a parallel coordinates plot for visualizing the precomputed clusters and for further exploration of interesting clusters. Finally, we propose a gradient line rendering technique to show the spatial and directional distribution of origin-destination clusters on a map view. We implement the visual analytics approach in a web-based interactive environment and apply it to real-world floating car data from Shanghai. The experiment results show the origin/destination hotspots and their spatial interaction patterns. They also demonstrate the effectiveness of our proposed approach.

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