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Proceedings Paper

Responsive scalable thinwire visualization: application to large geographic datasets
Author(s): Chee Keng Yap; Kenneth Been; Zilin Du
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Paper Abstract

When very large datasets are visualized in a thinwire setting, where the bandwidth is both limited and unreliable, current techniques break down. This paper proposes the responsive visualization system as a solution. We describe the architecture of such a system, and algorithmic challenges to support it. We introduce a natural and scalable visualization interface called the zooming telescope. We apply our techniques to the visualization of the TIGER dataset, a geographic description of the United States. We describe a suite of automatic and semi-automatic tools for processing the TIGER dataset, including the construction of level-of-detail (LOD) hierarchies.

Paper Details

Date Published: 12 March 2002
PDF: 12 pages
Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); doi: 10.1117/12.458774
Show Author Affiliations
Chee Keng Yap, New York Univ. (United States)
Kenneth Been, New York Univ. (United States)
Zilin Du, New York Univ. (United States)

Published in SPIE Proceedings Vol. 4665:
Visualization and Data Analysis 2002
Robert F. Erbacher; Philip C. Chen; Matti Groehn; Jonathan C. Roberts; Craig M. Wittenbrink, Editor(s)

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