DocumentCode :
2347569
Title :
Gridding Multivariate Positive Data for Real Time Visualization
Author :
Mustafa, Ghulam
Author_Institution :
Dept. of Comput. Sci. & Eng., UET, Lahore
fYear :
2006
fDate :
26-28 July 2006
Firstpage :
496
Lastpage :
502
Abstract :
Common visualization methods require an underlying grid. For visualization of scattered data samples it is required to approximate the data at the same grid using some interpolation technique. It is common that the data samples are positive and representing the quantities for which negative value is meaningless. For example mass, volume and density are meaningless when negative. Modified quadratic Shepard method is a commonly used method for gridding purposes. However it does not preserve positivity for inherently positive data sets. This paper discusses the problem of gridding inherently positive data sets for real time visualization applications using modified quadratic Shepard´s method. Key requirement for an algorithm to be used for real time application is its predictable timing behavior. We present an efficient and deterministic alternative quadratic Shepard method as a solution to the problem of visualization of multivariate positive data in real time
Keywords :
data visualisation; interpolation; real-time systems; interpolation; modified quadratic Shepard method; multivariate positive data gridding; real time visualization; Application software; Astronomy; Computer science; Data visualization; Economic forecasting; Geophysics; Interpolation; Meteorology; Radar scattering; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2006 International Conference on
Conference_Location :
Sydney, Qld.
Print_ISBN :
0-7695-2606-3
Type :
conf
DOI :
10.1109/CGIV.2006.50
Filename :
1663839
Link To Document :
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