Journal ArticleDOI
Using color dimensions to display data dimensions
Colin Ware,John C. Beatty +1 more
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This research probes the usefulness of color in enabling human observers to perceive clusters of points in a multidimensional space and compares the resolution of clusters in color and in space shows that color is an effective extension of space for conveying information about data dimensions.Abstract:
One of the advantages of computer graphics is that it enables an unprecedented degree of control over color. Since color vision is three-dimensional, this provides three additional perceptual dimensions that may be used in addition to the two spatial dimensions available on a flat display to present multidimensional data. This research probes the usefulness of color in enabling human observers to perceive clusters of points in a multidimensional space. Comparing the resolution of clusters in color and in space shows that color is an effective extension of space for conveying information about data dimensions. However, the perceptual space defined by color and space is not homogeneous and resolution is poor in a few specific directions. For this reason, the use of multiple views is advocated whenever color is used as a tool in exploratory data analysis.read more
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Uncertainty Modeling and Analysis in Engineering and the Sciences
Bilal M. Ayyub,George J. Klir +1 more
TL;DR: In this paper, uncertainty modeling and analysis in engineering and the sciences has been studied, with the goal of helping current and future analysts and practitioners to understand the fundamentals of knowledge in knowledge discovery.
Proceedings ArticleDOI
Choosing effective colours for data visualization
TL;DR: The goal is a systematic method for maximizing the total number of colours available for use, while still allowing an observer to rapidly and accurately search a display for any one of the given colours.
Journal ArticleDOI
High-speed visual estimation using preattentive processing
TL;DR: It is believed that studies from preattentive vision should be used to assist in the design of visualization tools, especially those for which high-speed target detection, boundary identification, and region detection are important.
Journal ArticleDOI
Large datasets at a glance: combining textures and colors in scientific visualization
TL;DR: A new method for using texture and color to visualize multivariate data elements arranged on an underlying height field by combining simple texture patterns with perceptually uniform colors to increase the number of attribute values the authors can display simultaneously.
References
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Journal ArticleDOI
A Note on the Generation of Random Normal Deviates
Book
Graphical Methods for Data Analysis
TL;DR: This paper presents a meta-modelling framework for developing and assessing regression models for multivariate and multi-dimensional data distributions and describes the distribution of a set of data.
Journal ArticleDOI
The Use of Faces to Represent Points in k- Dimensional Space Graphically
TL;DR: Every multivariate observation is visualized as a computer-drawn face that makes it easy for the human mind to grasp many of the essential regularities and irregularities present in the data.
Proceedings ArticleDOI
Color gamut transform pairs
TL;DR: A set of alternative models of the RGB monitor gamut based on the perceptual variables hue, saturation, and value (V) or brightness (L) are presented and algorithms for transforming between these models are derived.
Journal ArticleDOI
Color Science, Concepts and Methods. Quantitative Data and Formulas
TL;DR: The authors' aim has been to provide a comprehensive source book of data required by the practical and theoretical worker in the field of colour and they have achieved this aim so successfully that their book is likely to become the standard work on the subject and to remain so for a good many years.