Responsive, scalable thinwire visualization: Application to large geographic datasets

Chee Yap, Kenneth Been, Zilin Du

Research output: Contribution to journalConference articlepeer-review


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)
Pages (from-to)1-12
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2002
EventVisualization and Data Analysis 2002 - San Jose, CA, United States
Duration: Jan 21 2002Jan 22 2002


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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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