Title :
Large field visualization with demand-driven calculation
Author :
Moran, Patrick J. ; Henze, Chris
Author_Institution :
MRI Technol. Solutions, NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
Presents a system designed for the interactive definition and visualization of fields derived from large data sets: the Demand-Driven Visualizer (DDV). The system allows the user to write arbitrary expressions to define new fields, and then apply a variety of visualization techniques to the result. Expressions can include differential operators and numerous other built-in functions. Determination of field values, both in space and in time, is directed automatically by the demands of the visualization techniques. The payoff of following a demand-driven design philosophy throughout the visualization system becomes particularly evident when working with large time-series data, where the costs of eager evaluation alternatives can be prohibitive.
Keywords :
calculation; data visualisation; large-scale systems; time series; Demand-Driven Visualizer; Python; arbitrary expressions; built-in functions; demand-driven calculation; demand-driven evaluation; differential operators; eager evaluation alternatives; field value determination; interactive field definition; interpreted systems; large data sets; large field visualization; large-scale visualization; lazy evaluation; scientific visualization; time-series data; Application software; Chromium; Computational fluid dynamics; Computer graphics; Costs; Data visualization; Large-scale systems; NASA; Postal services; Space technology;
Conference_Titel :
Visualization '99. Proceedings
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-5897-X
DOI :
10.1109/VISUAL.1999.809864