3D Visualization of Multiple Time Series on Maps

Abstract—In the analysis of spatially-referenced timedependent data, gaining an understanding of the spatiotemporal 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 spatiotemporal 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 a...

• Type: Conference
• Year: 2010
• Where: 14th International Conference on Information Visualisation
• Authors: Sidharth Thakur, Andrew J. Hanson
• Keywords: 3d Information Visualization, Glyphs, Overview + Detail, Spatio-temporal Data, Time Series Visualization