Article first published online: 13 OCT 2010
© 2010 John Wiley & Sons, Inc.
Wiley Interdisciplinary Reviews: Computational Statistics
Volume 2, Issue 6, pages 711–718, November/December 2010
How to Cite
Moustafa, R. E. (2010), Pseudogrand tour. WIREs Comp Stat, 2: 711–718. doi: 10.1002/wics.133
- Issue published online: 22 NOV 2010
- Article first published online: 13 OCT 2010
- interactive visualization;
- space transformed visualization;
- exploratory data analysis;
- density estimation
The pseudogrand tour (PGT) is an approximate version of the grand tour (GT), and an example of the dynamic data visualization methods that assist in exploring hyperdimensional data through a continuous sequence of lower dimensional projections. The PGT adds the time dimensionality to the visualization process which in turn increases the human interaction with the data and reveals comprehensive views of the data. The PGT has some clear advantage suitable for the dynamic data visualization—such as the fast and easy computation, can be constructed using many orthogonal bases (interpolation functions), and the flexibility to visualize the projections as a sequence of scatterplot frames changing over time or a static profile plots of interpolated projections. This article focuses on the implementations of the PGT, the use of interpolation functions, the extensions to higher dimensions, and the scalability to large data points. WIREs Comp Stat 2010 2 711–718 DOI: 10.1002/wics.133
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