Name
Abstract | ||
|---|---|---|
In the analysis of spatially-referenced time-dependent data, gaining an understanding of the spatio-temporal distributions and relationships among the attributes in the data can be quite difficult. We present a visualization technique that addresses some of the challenges involved in visually exploring and analyzing the distributions of geo-spatial time-varying data. We have developed a pictorial representation that is based on the standard space-time cube metaphor and provides in a single display the overview and details of a large number of time-varying quantities. Our approach involves three-dimensional graphical widgets that intuitively represent profiles of the time-varying quantities and can be plotted on a geographic map to expose interesting spatio-temporal distributions of the data. We show how combining our visualization technique with standard data exploration features can assist in the exploration of salient patterns in a data set. The visualization approach described here supports expeditious exploration of multiple data sets; this in turn assists the process of building initial hypotheses about the attributes in a data set and enhances the user's ability to pose and explore interesting questions about the data. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IV.2010.54 | IV |
Keywords | Field | DocType |
expeditious exploration,geo-spatial time-varying data,interesting question,standard data exploration feature,spatially-referenced time-dependent data,visualization technique,time-varying quantity,multiple time series,multiple data set,visualization approach,data visualization,cartography,space time,data visualisation,3d visualization,time series,time series analysis,glyphs,visualization,information visualization,shape | Glyph,Data mining,Time series,Multiple data,Data visualization,Information visualization,Visualization,Computer science,Cube,Salient | Conference |
ISSN | Citations | PageRank |
1550-6037 | 13 | 0.68 |
References | Authors | |
17 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sidharth Thakur | 1 | 42 | 4.28 |
| Andrew J. Hanson | 2 | 13 | 0.68 |