Responsive, scalable thinwire visualization

Application to large geographic datasets

Chee Yap, Kenneth Been, Zilin Du

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsR.F. Erbacher, P.C. Chen, M. Grohn, J.C. Roberts, C.M. Wittenbrink
Pages1-12
Number of pages12
Volume4665
DOIs
StatePublished - 2002
EventVisualization and Data Analysis 2002 - San Jose, CA, United States
Duration: Jan 21 2002Jan 22 2002

Other

OtherVisualization and Data Analysis 2002
CountryUnited States
CitySan Jose, CA
Period1/21/021/22/02

Fingerprint

hierarchies
Visualization
breakdown
telescopes
bandwidth
Telescopes
Bandwidth
Processing

Keywords

  • Geographic
  • GIS
  • Responsive
  • Scalable
  • Thinwire
  • TIGER
  • Visualization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Yap, C., Been, K., & Du, Z. (2002). Responsive, scalable thinwire visualization: Application to large geographic datasets. In R. F. Erbacher, P. C. Chen, M. Grohn, J. C. Roberts, & C. M. Wittenbrink (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4665, pp. 1-12) https://doi.org/10.1117/12.458774

Responsive, scalable thinwire visualization : Application to large geographic datasets. / Yap, Chee; Been, Kenneth; Du, Zilin.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / R.F. Erbacher; P.C. Chen; M. Grohn; J.C. Roberts; C.M. Wittenbrink. Vol. 4665 2002. p. 1-12.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yap, C, Been, K & Du, Z 2002, Responsive, scalable thinwire visualization: Application to large geographic datasets. in RF Erbacher, PC Chen, M Grohn, JC Roberts & CM Wittenbrink (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4665, pp. 1-12, Visualization and Data Analysis 2002, San Jose, CA, United States, 1/21/02. https://doi.org/10.1117/12.458774
Yap C, Been K, Du Z. Responsive, scalable thinwire visualization: Application to large geographic datasets. In Erbacher RF, Chen PC, Grohn M, Roberts JC, Wittenbrink CM, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4665. 2002. p. 1-12 https://doi.org/10.1117/12.458774
Yap, Chee ; Been, Kenneth ; Du, Zilin. / Responsive, scalable thinwire visualization : Application to large geographic datasets. Proceedings of SPIE - The International Society for Optical Engineering. editor / R.F. Erbacher ; P.C. Chen ; M. Grohn ; J.C. Roberts ; C.M. Wittenbrink. Vol. 4665 2002. pp. 1-12
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