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 language | English (US) |
|---|---|
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4665 |
| DOIs | |
| State | Published - 2002 |
| Event | Visualization and Data Analysis 2002 - San Jose, CA, United States Duration: Jan 21 2002 → Jan 22 2002 |
Keywords
- GIS
- Geographic
- Responsive
- Scalable
- TIGER
- Thinwire
- Visualization
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering