The visual display of quantitative information
The visual display of quantitative information
Rendering effective route maps: improving usability through generalization
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
User Preference of Graph Layout Aesthetics: A UML Study
GD '00 Proceedings of the 8th International Symposium on Graph Drawing
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Cognitive measurements of graph aesthetics
Information Visualization
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
by chance enhancing interaction with large data sets through statistical sampling
Proceedings of the Working Conference on Advanced Visual Interfaces
Geometric clustering for line drawing simplification
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
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Although the development of computational aesthetics has largely concentrated on 3D geometry and illustrative rendering, aesthetics are equally an important principle underlying 2D graphics and information visualization. A canonical example is Beck's design of the London underground map, which not only produced an informative and practical artefact, but also established a design aesthetic that has been widely adopted in other applications. This paper contributes a novel hybrid view to the debate on aesthetics. It arises from a practical industrial problem, that of mapping the vast network of underground assets, and producing outputs that can be readily comprehended by a range of users, from back-office planning staff through to on-site excavation teams. This work describes the link between asset drawing aesthetics and tasks, and discusses methods developed to support the presentation of integrated asset data. It distinguishes a holistic approach to visual complexity, taking clutter as one component of aesthetics, from the graph-theoretic reductionist model needed to measure and remove clutter. We argue that ?de-cluttering' does not mean loss of information, but rather repackaging details to make them more accessible. In this respect, aesthetics have a fundamental role in implementing Schneiderman's mantra of 'overview, zoom & filter, details-on-demand' for information visualization.