World Wide Web Journal - Special issue on XML: principles, tools, and techniques
Feature detection in linked derived spaces
Proceedings of the conference on Visualization '98
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Immersive VR for Scientific Visualization: A Progress Report
IEEE Computer Graphics and Applications
A characterization of the scientific data analysis process
VIS '92 Proceedings of the 3rd conference on Visualization '92
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
Feature tracking in VR for cumulus cloud life-cycle studies
EGVE'05 Proceedings of the 11th Eurographics conference on Virtual Environments
Hybrid interfaces in VEs: intent and interaction
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
Spatial input for temporal navigation in scientific visualizations
IEEE Computer Graphics and Applications
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This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantitative information into an exploratory virtual environment (VE). The new information is incorporated through one or more expedited offline "reprocessing" steps, which compute properties of objects extracted from the data. These objects and their properties are displayed in the exploratory VE. A case study involving atmospheric data is presented to demonstrate the utility of the method.