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Proceedings Paper

STARview: a multiresolution time series data visualizer
Author(s): Andrew Foulks; R. Daniel Bergeron; John P. McHugh
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Paper Abstract

We present an application case study for visualizing large data sets of time series spatial data. Our application is built on a flexible, object oriented framework that supports the visualization of dynamic internal wave propagation in the earth's tropopause. Our data model uses a multiresolution hierarchy that integrates spatial and temporal components. The data also includes error information at each level of the hierarchy. The application provides the scientist with tools necessary to examine, query, and interact with visualizations of data of interest.

Paper Details

Date Published: 11 March 2005
PDF: 12 pages
Proc. SPIE 5669, Visualization and Data Analysis 2005, (11 March 2005); doi: 10.1117/12.588787
Show Author Affiliations
Andrew Foulks, Univ. of New Hampshire (United States)
R. Daniel Bergeron, Univ. of New Hampshire (United States)
John P. McHugh, Univ. of New Hampshire (United States)

Published in SPIE Proceedings Vol. 5669:
Visualization and Data Analysis 2005
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Grohn; Katy Borner, Editor(s)

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