Visualization Pipeline: Difference between revisions
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*[Card et al., 1999] Card, S. K., Mackinlay, J. D., and Shneiderman, B., editors. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco. 1999. | *[Card et al., 1999] Card, S. K., Mackinlay, J. D., and Shneiderman, B., editors. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco. 1999. | ||
*[Chi, 2000] Chi, E. H. A Taxonomy of Visualization Techniques using the Data State Reference Model. In Proceedings of IEEE Symposium on Information Visualization (InfoVis’00), pages 69–75. IEEE Computer Society Press. 2000. | *[Chi, 2000] Chi, E. H. A Taxonomy of Visualization Techniques using the Data State Reference Model. In Proceedings of IEEE Symposium on Information Visualization (InfoVis’00), pages 69–75. IEEE Computer Society Press. 2000. | ||
*[dos Santos and Brodlie, 2004] dos Santos, S. and Brodlie, K. Gaining understanding of multivariate and multidimensional data through visualization. ''Computers | *[dos Santos and Brodlie, 2004] dos Santos, S. and Brodlie, K. Gaining understanding of multivariate and multidimensional data through visualization. ''Computers | ||
Revision as of 20:00, 10 April 2007
The visualization pipeline describes the (step-wise) process of creating visual representations of data.
![The visualization pipeline describes the process of creating visual representations of data [dos Santos and Brodlie, 2004]](/wiki/File:Dossantos04vis_pipeline.png)
- Data Analysis: data are prepared for visualization (e.g., by applying a smoothing filter, interpolating missing values, or correcting erroneous measurements) -- usually computer-centered, little or no user interaction.
- Filtering: selection of data portions to be visualized -- usually user-centered.
- Mapping: focus data are mapped to geometric primitives (e.g., points, lines) and their attributes (e.g., color, position, size); most critical step for achieving Expressiveness and Effectiveness.
- Rendering: geometric data are transformed to image data.
References
- [Card et al., 1999] Card, S. K., Mackinlay, J. D., and Shneiderman, B., editors. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco. 1999.
- [Chi, 2000] Chi, E. H. A Taxonomy of Visualization Techniques using the Data State Reference Model. In Proceedings of IEEE Symposium on Information Visualization (InfoVis’00), pages 69–75. IEEE Computer Society Press. 2000.
- [dos Santos and Brodlie, 2004] dos Santos, S. and Brodlie, K. Gaining understanding of multivariate and multidimensional data through visualization. Computers