Responsive scalable thinwire visualization: application to large geographic datasets

Details Responsive scalable thinwire visualization: application to large geographic datasets Responsive scalable thinwire visualization: application to large geographic datasets

Mar 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4665....1y&link_type=abstract

Proc. SPIE Vol. 4665, p. 1-12, Visualization and Data Analysis 2002, Robert F. Erbacher; Philip C. Chen; Matti Groehn; Jonathan

Physics

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Responsive scalable thinwire visualization: application to large geographic datasets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Responsive scalable thinwire visualization: application to large geographic datasets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Responsive scalable thinwire visualization: application to large geographic datasets will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1498618