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