Visual R-MAT: a visual tool of analysis support of representative data of multiple aspect trajectory data.
DOI:
https://doi.org/10.5902/2448190471729Keywords:
Visual analysis of trajectory data, Multiple Aspect Trajectory, Representative trajectoryAbstract
The phenomenon of IoT brings a surge of vast amounts of data. Present in these data is trajectory data, which can be semantically enriched to generate multiple aspect trajectories. As an alternative solution to the management of these data surges summarization approaches that generate representative trajectory data. Then, based on these data surge the need for visual tools as support to data analysts. This paper aims to propose a 2D visual tool to support data analysts in tasks of analysis and comparison between a dataset of multiple aspect trajectories and their respective representative data, allowing, for example, the analysis of the summarization algorithm.
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Alvares, L. O., Bogorny, V., Kuijpers, B., de Macˆedo, J. A. F., Moelans, B., and Vaisman, A. A. (2007). A model for enriching trajectories with semantic geographical information. In Samet, H., Shahabi, C., and Schneider, M., editors, 15th ACM International Symposium on Geographic Information Systems, ACM-GIS 2007, November 7-9, 2007, Seattle, Washington, USA, Proceedings, page 22, New York, NY, USA. Association for Computing Machinery (ACM)
Bogorny, V., Braz, F., Alvares, L. O. C., Siqueira, F. L., Loy, A. M., Moreno, B. N., and Times, V. C. (2012). Introdução a trajetórias de objetos móveis. Editora Univille.
Erwig, M., Güting, R. H., Schneider, M., and Vazirgiannis, M. (1999). Spatio-temporal data types: An approach to modeling and querying moving objects in databases. GeoInformatica, 3(3):269–296
Lee, J.-G., Han, J., and Whang, K.-Y. (2007). Trajectory clustering: A partition-and-group framework. In Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD ’07, page 593–604, New York, NY, USA. Association for Computing Machinery.
Machado, V. L., Mello, R. d. S., and Bogorny, V. (2022). A method for summarizing trajectories with multiple aspects. In International Conference on Database and Expert Systems Applications, pages 433–446. Springer.
Mello, R. d. S., Bogorny, V., Alvares, L. O., Santana, L. H. Z., Ferrero, C. A., Frozza, A. A., Schreiner, G. A., and Renso, C. (2019). MASTER: A multiple aspect view on trajectories. Trans. GIS, 23(4):805–822.
Tominski, C., Schumann, H., Andrienko, G., and Andrienko, N. (2012). Stacking-based visualization of trajectory attribute data. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 18(12).
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