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Regular Spatial Separation for Exploratory Visualization
Jonathan C. Roberts
In R. Erbacher, P. Chen, M. Grohn, J.C. Roberts, and C.M. Wittenbrink, editors, Visualization and Data Analysis, volume 4665, pages 182-196. Electronic Imaging Symposium, IS&T/SPIE, January 2002.Abstract
There are many well-used techniques in exploratory visualization that select, filter or highlight particular aspects of the visualization to gain a better understanding of the structure and makeup of the underlying information. Indeed, distortion techniques have been developed that deform and move different spatial elements of the representation allowing the user to view and investigate internal aspects of the visualization. But this distortion may cause the user to misunderstand the spatial structure and context of surrounding information and works better when the user knows what feature they are looking for. We believe that regular separation techniques, that separate and generate space round features or objects of interest clarifies the visual representations, are underused and that their use should be encouraged. We describe related research and literature, present some new methods, and classify the realizations by what type of separation is used and what information is being separated.
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@inproceedings{1350,
author = {Jonathan C. Roberts},
title = {{Regular Spatial Separation for Exploratory Visualization}},
month = {January},
year = {2002},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2002/1350},
publication_type = {inproceedings},
submission_id = {950_1014215797},
booktitle = {Visualization and Data Analysis},
editor = {R. Erbacher and P. Chen and M. Grohn and J.C. Roberts and C.M. Wittenbrink},
volume = {4665},
organization = {Electronic Imaging Symposium},
publisher = {IS&T/SPIE},
}