Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Data mining: concepts and techniques
Data mining: concepts and techniques
Drawing graphs: methods and models
Drawing graphs: methods and models
Computational Visualization: Graphics, Abstraction, and Interactivity
Computational Visualization: Graphics, Abstraction, and Interactivity
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
After the Storm: Considerations for Information Visualization
IEEE Computer Graphics and Applications
A data model for scientific visualization with provisions for regular and irregular grids
VIS '91 Proceedings of the 2nd conference on Visualization '91
Display of scientific data structures for algorithm visualization
VIS '92 Proceedings of the 3rd conference on Visualization '92
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
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The use of visualization to explore and understand data is often partitioned into two areas, scientific visualization in which the data sets are typically derived from measurements or simulations grounded in physical space, and information visualization where data sets are defined over abstract spaces. Although there are certain pragmatic differences based on the way that visualization is used, this paper argues that there is interesting progress to be made by ignoring such distinctions, and working with a general model in which visualization is about representing structures within particular kinds of space. This applies both at the conceptual level, and at the level of practice and implementation. This paper sets out the motivation for thinking in these terms, and describes initial work on using a toolkit, designed primarily for scientific and engineering applications, in a rather more abstract domain, graph visualization.