dc.contributor.author | Tominski, Christian | en_US |
dc.contributor.author | Schulz, Hans-Joerg | en_US |
dc.contributor.editor | Michael Goesele and Thorsten Grosch and Holger Theisel and Klaus Toennies and Bernhard Preim | en_US |
dc.date.accessioned | 2013-11-08T10:35:41Z | |
dc.date.available | 2013-11-08T10:35:41Z | |
dc.date.issued | 2012 | en_US |
dc.identifier.isbn | 978-3-905673-95-1 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/PE/VMV/VMV12/199-206 | en_US |
dc.description.abstract | Understanding how data evolves in space and time is an essential task in many application domains. Despite the numerous visual methods that have been proposed to facilitate this task (e.g., showing the data on a map or plotting a time graph), the exploration of data with references to space and time still remains challenging. In this work, we present a novel concept for visualizing spatio-temporal data that refer to 2D geographical space and 1D linear time. The idea is to construct a non-planar slice - called the Great Wall of Space-Time - through the 3D (2D+1D) space-time continuum. Different visual representations can be projected onto the wall in order to display the data. We illustrate data visualizations based on color-coding and parallel coordinates. Compared to existing approaches, the wall has the advantage that it shows a closed path through space with no gaps between the information-bearing pixels on the screen. Hence, our novel visualization has the potential to be a useful addition to the user's toolbox of techniques for exploring the spatial and temporal evolution of data. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.3.6 [Computer Graphics] | en_US |
dc.subject | Miscellaneous | en_US |
dc.subject | Visualization of spatio temporal data | en_US |
dc.title | The Great Wall of Space-Time | en_US |
dc.description.seriesinformation | Vision, Modeling and Visualization | en_US |