Title :
Volume rendering for relational data
Author :
Becker, Barry G.
Author_Institution :
Silicon Graphics Comput. Syst., Mountain View, CA, USA
Abstract :
A method for efficiently volume rendering dense scatterplots of relational data is described. Plotting difficulties that arise from large numbers of data points, categorical variables, interaction with non-axis dimensions, and unknown values, are addressed by this method. The domain of the plot is voxelized using binning and then volume rendering. Since a table is used as the underlying data structure, no storage is wasted on regions with no data. The opacity of each voxel is a function of the number of data points in a corresponding bin. A voxel´s color is derived by averaging the value of one of the variables for all the data points that fall in a bin. Other variables in the data may be mapped to external query sliders. A dragger object permits a user to select regions inside the volume.
Keywords :
data structures; data visualisation; query processing; relational databases; rendering (computer graphics); user interfaces; categorical variables; data points; data structure; dense scatterplots; external query sliders; information visualization; multivariate data; nonaxis dimensions; plotting; relational data; table; unknown values; volume rendering; voxel; Data compression; Data structures; Data visualization; Displays; Graphics; Relational databases; Rendering (computer graphics); Sampling methods; Scattering; Shape; Silicon; Stacking;
Conference_Titel :
Information Visualization, 1997. Proceedings., IEEE Symposium on
Conference_Location :
Phoenix, AZ, USA
Print_ISBN :
0-8186-8189-6
DOI :
10.1109/INFVIS.1997.636791
