CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A tool for dynamic explorations of color mappings
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Using visual texture for information display
ACM Transactions on Graphics (TOG)
Choosing effective colours for data visualization
Proceedings of the 7th conference on Visualization '96
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
Harnessing Natural Textures for Multivariate Visualization
IEEE Computer Graphics and Applications
Towards a texture naming system: identifying relevant dimensions of texture
VIS '93 Proceedings of the 4th conference on Visualization '93
An architecture for rule-based visualization
VIS '93 Proceedings of the 4th conference on Visualization '93
Beyond visual acuity: the perceptual scalability of information visualizations for large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Move to improve: promoting physical navigation to increase user performance with large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Visualization: Perception for Design
Information Visualization: Perception for Design
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This article describes a perceptual level-of-detail approach for visualizing data. Properties of a dataset that cannot be resolved in the current display environment need not be shown, for example, when too few pixels are used to render a data element, or when the element's subtended visual angle falls below the acuity limits of our visual system. To identify these situations, we asked: (1) What type of information can a human user perceive in a particular display environment? (2) Can we design visualizations that control what they represent relative to these limits? and (3) Is it possible to dynamically update a visualization as the display environment changes, to continue to effectively utilize our perceptual abilities? To answer these questions, we conducted controlled experiments that identified the pixel resolution and subtended visual angle needed to distinguish different values of luminance, hue, size, and orientation. This information is summarized in a perceptual display hierarchy, a formalization describing how many pixels—resolution—and how much physical area on a viewer's retina—visual angle—is required for an element's visual properties to be readily seen. We demonstrate our theoretical results by visualizing historical climatology data from the International Panel for Climate Change.