School of Computing

Waltz - an exploratory visualization tool for volume data, using multiform abstract displays

Jonathan C. Roberts

In Robert F. Erbacher and Alex Pang, editors, Visual Data Exploration and Analysis V, Proceedings of SPIE, volume 3298, pages 182-196. (IS&T and SPIE), January 1998.

Abstract

Although, visualization is now widely used, misinterpretations still occur. There are three primary solutions intended to aid a user interpret data correctly. These are: displaying the data in different forms (Multiform visualization); simplifying (or abstracting) the structure of the viewed information; and linking objects and views together (allowing corresponding objects to be jointly manipulated and interrogated).

These well-known visualization techniques, provide an emphasis towards the visualization display. We believe however that current visualization systems do not effectively utilise the display, for example, often placing it at the end of a long visualization process. Our visualization system, based on an adapted visualization model, allows a display method to be used throughout the visualization process, in which the user operates a `Display (correlate) and Refine' visualization cycle.

This display integration provides a useful exploration environment, where objects and views may be directly manipulated; a set of `portions of interest' can be selected to generate a specialized dataset. This may subsequently be further displayed, manipulated and filtered.

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Bibtex Record

@inproceedings{557,
author = {Jonathan C. Roberts},
title = {Waltz -- An Exploratory Visualization tool for Volume Data, using Multiform Abstract Displays},
month = {January},
year = {1998},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/1998/557},
    booktitle = {Visual Data Exploration and Analysis V, Proceedings of SPIE},
    editor = {Robert F. Erbacher and Alex Pang},
    organization = {(IS&T and SPIE)},
    volume = {3298},
}

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