Rethinking Visualization: A High-Level Taxonomy

@inproceedings{citeulike:623756, abstract = {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\&\#146;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.}, author = {Tory, M. and Moller, T. }, citeulike-article-id = {623756}, journal = {Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on}, keywords = {semantic, taxonomy, tracking, viz}, pages = {151--158}, posted-at = {2008-03-05 14:15:54}, priority = {2}, title = {Rethinking Visualization: A High-Level Taxonomy}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1382903}, year = {2004} }

TY - CONF ID - citeulike:623756 L3 - citeulike-article-id:623756 TI - Rethinking Visualization: A High-Level Taxonomy JF - Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on SP - 151 EP - 158 N2 - 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. KW - semantic KW - taxonomy KW - tracking KW - viz AU - Tory, M AU - Moller, T PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1382903 ER -