Choosing effective colours for data visualization
Proceedings of the 7th conference on Visualization '96
Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Information visualization: perception for design
Information visualization: perception for design
Proceedings of the conference on Visualization '01
A New Correlation Criterion Based on Gradient Fields Similarity
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Color, change, and control for quantitative data display
VIS '92 Proceedings of the 3rd conference on Visualization '92
Multivariate data visualization with data-driven spots
Multivariate data visualization with data-driven spots
Multivariate image analysis in biomedicine
Journal of Biomedical Informatics
Simple 3D Glyphs for Spatial Multivariate Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Diffusion Tensor Visualization with Glyph Packing
IEEE Transactions on Visualization and Computer Graphics
Multi-variate, Time Varying, and Comparative Visualization with Contextual Cues
IEEE Transactions on Visualization and Computer Graphics
Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data
IEEE Transactions on Visualization and Computer Graphics
Transfer functions for imaging spectroscopy data using principal component analysis
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Viewing progress in non-photorealistic rendering through Heinlein's lens
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
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We present a user study quantifying the effectiveness of Scaled Data-Driven Spheres (SDDS), a multivariate three-dimensional data set visualization technique. The user study compares SDDS, which uses separate sets of colored sphere glyphs to depict variable values, to superquadric glyphs, an alternative technique that maps all variable values to a single glyph. User study participants performed tasks designed to measure their ability to estimate values of particular variables and identify relationships among variables. Results from the study show that users were significantly more accurate and faster for both tasks under the SDDS condition.