Paper Info
Title
Gridding Multivariate Positive Data for Real Time Visualization
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.
Year
DOI
Venue
2006
10.1109/CGIV.2006.50
CGIV
Keywords
Field
DocType
quadratic shepard method,real time visualization,modified quadratic shepard method,modified quadratic shepard,real time visualization application,data sample,positive data set,common visualization method,gridding multivariate positive data,real time,scattered data sample,multivariate positive data,interpolation,astronomy,economic forecasting,meteorology,application software,computer science,real time systems,geophysics,data visualization,data visualisation
Data mining,Data visualization,Data set,Multivariate statistics,Computer science,Visualization,Interpolation,Quadratic equation,Grid
Conference
ISBN
Citations 
PageRank 
0-7695-2606-3
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Ghulam Mustafa17416.17
Abad Ali Shah232.65
Muhammad Rafiq Asim311.04