Taxonomy−based Glyph Design – with a Case Study on Visualizing Workflows of Biological ExperimentsReportar como inadecuado




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Reference: E.Maguire P.Rocca−Serra S−A.Sansone J. Davies and M. Chen, (2012). Taxonomy−based Glyph Design – with a Case Study on Visualizing Workflows of Biological Experiments. IEEE Transactions on Visualization and Computer Graphics.Citable link to this page:

 

Taxonomy−based Glyph Design – with a Case Study on Visualizing Workflows of Biological Experiments

Abstract: Glyph-based visualization can offer elegant and concise presentation of multivariate information while enhancing speed and ease in visual search experienced by users. As with icon designs, glyphs are usually created based on the designers’ experience and intuition, often in a spontaneous manner. Such a process does not scale well with the requirements of applications where a large number of concepts are to be encoded using glyphs. To alleviate such limitations, we propose a new systematic process for glyph design by exploring the parallel between the hierarchy of concept categorization and the ordering of discriminative capacity of visual channels. We examine the feasibility of this approach in an application where there is a pressing need for an efficient and effective means to visualize workflows of biological experiments. By processing thousands of workflow records in a public archive of biological experiments, we demonstrate that a cost-effective glyph design can be obtained by following a process of formulating a taxonomy with the aid of computation, identifying visual channels hierarchically, and defining application-specific abstraction and metaphors.

Bibliographic Details

Journal: IEEE Transactions on Visualization and Computer Graphicssee more from them

Issue Date: 2012Identifiers

Urn: uuid:611a7988-2ba9-4f01-8df0-f6688a01bdc8 Item Description

Type: Journal article; Tiny URL: cs:6179

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Autor: E.Maguire P.Rocca−Serra S−A.Sansone J. Davies - - - M. Chen - - - - Bibliographic Details Journal: IEEE Transactions on Visua

Fuente: https://ora.ox.ac.uk/objects/uuid:611a7988-2ba9-4f01-8df0-f6688a01bdc8



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