Responsive scalable thinwire visualization: application to large geographic datasets

Chee Keng Yap; Kenneth Been; Zilin Du

doi:10.1117/12.458774

12 March 2002 Responsive scalable thinwire visualization: application to large geographic datasets

Chee Keng Yap, Kenneth Been, Zilin Du

Proceedings Volume 4665, Visualization and Data Analysis 2002; (2002) https://doi.org/10.1117/12.458774
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

Chee Keng Yap, Kenneth Been, and Zilin Du "Responsive scalable thinwire visualization: application to large geographic datasets", Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); https://doi.org/10.1117/12.458774

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