The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.06 - November/December (2009 vol.15)
pp: 1017-1024
Christophe Hurter , DSNA/DTI R&D, ENAC and IRIT/IHCS
Benjamin Tissoires , DSNA/DTI R&D, ENAC and IRIT/IHCS
Stéphane Conversy , ENAC and IRIT/IHCS
ABSTRACT
When displaying thousands of aircraft trajectories on a screen, the visualization is spoiled by a tangle of trails. The visual analysis is therefore difficult, especially if a specific class of trajectories in an erroneous dataset has to be studied. We designed FromDaDy, a trajectory visualization tool that tackles the difficulties of exploring the visualization of multiple trails. This multidimensional data exploration is based on scatterplots, brushing, pick and drop, juxtaposed views and rapid visual design. Users can organize the workspace composed of multiple juxtaposed views. They can define the visual configuration of the views by connecting data dimensions from the dataset to Bertin’s visual variables. They can then brush trajectories, and with a pick and drop operation they can spread the brushed information across views. They can then repeat these interactions, until they extract a set of relevant data, thus formulating complex queries. Through two real-world scenarios, we show how FromDaDy supports iterative queries and the extraction of trajectories in a dataset that contains up to 5 million data.
INDEX TERMS
visualization, iterative exploration, direct manipulation, trajectories
CITATION
Christophe Hurter, Benjamin Tissoires, Stéphane Conversy, "FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries", IEEE Transactions on Visualization & Computer Graphics, vol.15, no. 6, pp. 1017-1024, November/December 2009, doi:10.1109/TVCG.2009.145
REFERENCES
[1] Ahlberg C. 1996. Spotfire: an information exploration environment. SIGMOD Rec. 25, 4 (Dec. 1996), 25-29.
[2] Ahlberg C., Williamson C., and Shneiderman B. 1992. , Dynamic queries for information exploration: an implementation and evaluation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Monterey, California, United States, May 03 - 07, 1992). P. Bauersfeld, J. Bennett, and G. Lynch, Eds. CHI '92. ACM, New York, NY, 619-626.
[3] Baudel T. 2004. Browsing through an information visualization design space. In CHI '04 Extended Abstracts on Human Factors in Computing Systems (Vienna, Austria, April 24 - 29, 2004). CHI '04. ACM, New York, NY, 765-766.
[4] Becker R. A., Cleveland W. S., Brushing scatterplots., Technometrics (1987), Vol. 29, No. 2. (1987), pp. 127-142.
[5] Bertin J., Graphics and Graphic Information Processing de Gruyter Press, Berlin, (1977).
[6] Card S.K., Mackinlay J.D., Shneiderman B., Readings in Information Visualization: Using Vision to Think. San Francisco, California: Morgan-Kaufmann, (1999).
[7] Derthick M., Kolojejchick J., and Roth S. F. 1997. An interactive visual query environment for exploring data. In , Proceedings of the 10th Annual ACM Symposium on User interface Software and Technology (Banff, Alberta, Canada, October 14 - 17, 1997). UIST '97. ACM, New York, NY, 189-198.
[8] Elmqvist N., Dragicevic P., Fekete J.-D., Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation Visualization, IEEE Transactions on Volume 14, Issue 6, Nov.-Dec. 2008 Page(s):1539 – 1148.
[9] Fekete J. 2004. The InfoVis Toolkit. In Proceedings of the IEEE Symposium on information Visualization (October 10 - 12, 2004). INFOVIS. IEEE Computer Society, Washington, DC, 167-174.
[10] Harris M. 2005. Mapping computational concepts to GPUs. In ACM SIGGRAPH 2005 Courses (Los Angeles, California, July 31 - August 04, 2005). J. Fujii, Ed. SIGGRAPH '05. ACM, New York, NY, 50.
[11] Hochheiser H. and Shneiderman B. 2004. Dynamic query tools for time series data sets: timebox widgets for interactive exploration. Information Visualization 3, 1 (Mar. 2004), 1-18.
[12] Livny M., Ramakrishnan R., Beyer K., Chen G., Donjerkovic D.,, Lawande S., Myllymaki J., and Wenger K. 1997. , DEVise: integrated querying and visual exploration of large datasets. SIGMOD Rec. 26, 2 (Jun. 1997), 301-312.
[13] Martin A. R. and Ward M. O. 1995. High Dimensional Brushing for Interactive Exploration of Multivariate Data. In Proceedings of the 6th Conference on Visualization '95 (October 29 - November 03, 1995). IEEE Visualization. IEEE Computer Society, Washington, DC, 271.
[14] Rekimoto J. 1997. , Pick-and-drop: a direct manipulation technique for multiple computer environments. In Proceedings of the 10th Annual ACM Symposium on User interface Software and Technology (Banff, Alberta, Canada, October 14 - 17, 1997). UIST '97. ACM, New York, NY, 31-39.
[15] Shneiderman B. 1987. Direct manipulation: A step beyond programming languages. In Human-Computer interaction: A Multidisciplinary Approach, R. M. Baecker, Ed. Morgan Kaufmann Publishers, San Francisco, CA, 461-467.
[16] Stolte C. and Hanrahan P. 2000. , Polaris: A System for Query, Analysis and Visualization of Multi-Dimensional Relational Databases. In Proceedings of the IEEE Symposium on information Vizualization 2000 (October 09 - 10, 2000). INFOVIS. IEEE Computer Society, Washington, DC, 5.
[17] Swayne D. F., Lang D. T., Buja A., and Cook D. 2003. GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Comput. Stat. Data Anal. 43, 4 (Aug. 2003), 423-444.
[18] Ward, M. O. 1994. XmdvTool: integrating multiple methods for visualizing multivariate data. In Proceedings of the Conference on Visualization '94, (Washington, D.C., October 17 - 21, 1994). D. Bergeron and A. Kaufman, Eds. IEEE Visualization. IEEE Computer Society Press, Los Alamitos, CA, 326-333.
[19] Wilkinson L., The grammar of Graphics. New York: Springer Verlag (1999).
[20] Young D. and Shneiderman B. 1993. , A graphical filter/flow representation of Boolean queries: a prototype implementation and evaluation. J. Am. Soc. Inf. Sci. 44, 6 (Jul. 1993), 327-339.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool