Visual Cues: Practical Data Visualization
Visual Cues: Practical Data Visualization
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
Geovisualization for Knowledge Construction and Decision Support
IEEE Computer Graphics and Applications
OpenGL(R) Shading Language (2nd Edition)
OpenGL(R) Shading Language (2nd Edition)
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
Visualizing multiple uncertainty sources
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data
Computer Graphics Forum
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
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Attribute Blocks is a new tool for visualizing multiple continuously varying attributes across a region of geospace. Most of the explanations and illustrations of the technique in this article employ climatology data sets along with results computed by a simulation driven by the data sets. However neither the method nor its implementation depend in any way on issues unique to climatological applications. The author demonstrates this in part while comparing the use of Attribute Blocks to other techniques on different types of data sets. The author describes the method, compares it to some earlier methods, illustrates several techniques it enables for locating patterns in data, and briefly discusses how its implementation employs the programmable shader facility in OpenGL.