Rethinking Visualization: A High-Level Taxonomy
We present a novel high-level visualization taxonomy. Our taxonomy classifies visualization algorithms rather than data. Algorithms are categorized based on the assumptions they make about the data being visualized; we call this set of assumptions the design model. Because our taxonomy is based on design models, it is more flexible than existing taxonomies and considers the user’s conceptual model, emphasizing the human aspect of visualization. Design models are classified according to whether they are discrete or continuous and by how much the algorithm designer chooses display attributes such as spatialization, timing, colour, and transparency. This novel approach provides an alternative view of the visualization field that helps explain how traditional divisions (e.g., information and scientific visualization) relate and overlap, and that may inspire research ideas in hybrid visualization areas.
Top- Tory, Melanie
- Möller, Torsten
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings) |
Event Title |
IEEE Symposium on Information Visualization 2004 (InfoVis04) |
Divisions |
Visualization and Data Analysis |
Subjects |
Computergraphik |
Event Location |
Austin, Texas |
Event Type |
Conference |
Event Dates |
October 10-12 |
ISSN/ISBN |
0-7803-8779-3 |
Date |
October 2004 |
Export |