Spatiotemporal visualization of traffic paths using color space time curve
Savitha Baskaran, Shiaofen Fang, Shenhui Jiang · 2017
In spatiotemporal data visualization, integrating the time dimension with the spatial dimensions is a challenging problem. In this paper, we propose a new time representation method by mapping time onto a time curve in a color space. Since no spatial dimension is needed for the time axis, this approach is more effective in integrating time space and spatial dimensions. Several designs of the time curves in a 3D color space will be discussed. We apply this approach to the visualization application for a large taxi GPS dataset. The visualization is applied directly over an interactive map to depict the time patterns of a large set of driving paths on city roads. Spatial optimization techniques are also implemented to process large volumes of GPS data. This approach provides a new alternative for many spatiotemporal data visualization application.