DocumentCode :
1249533
Title :
Visualizing and modeling scattered multivariate data
Author :
Nielson, G.M. ; Foley, T.A. ; Hamann, B. ; Lane, D.
Author_Institution :
Dept. of Comput. Sci., Arizona State Univ., Tempe, AZ, USA
Volume :
11
Issue :
3
fYear :
1991
fDate :
5/1/1991 12:00:00 AM
Firstpage :
47
Lastpage :
55
Abstract :
Visualizing two types of scattered data-volumetric data sampled in a three-dimensional volume and surface-on-surface data sampled on a three-dimensional surface-is addressed. Since measurements are often sampled at discrete scattered locations, mathematical models that are defined over the entire domain and that interpolate or approximate the given scattered data are used. The modeling function can be evaluated over a grid, so that a conventional, off-the-shelf visualization tool that applies to data on a uniform grid can be used. Volumes, gradient, centroids, and other quantities can be computed from the model. Even though the two kinds of data and their problems look similar in their mathematical descriptions, they are solved by different methods, and the various solutions are visualized with methods that are quite different.<>
Keywords :
computer graphics; data analysis; mathematics computing; 3D volume; centroids; gradient; mathematical models; scattered data; scattered multivariate data; surface-on-surface data; uniform grid; visualization tool; volumetric data; Airplanes; Data visualization; Earth; Interpolation; Linear systems; Mathematical model; Minerals; Pressure measurement; Scattering; Temperature measurement;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/38.79453
Filename :
79453
Link To Document :
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