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Proceedings Paper

Attacking unsolved problems in visualization of scientific data
Author(s): H. Stephen Anderson; Lee T. Andrews; Edward M. Buturla; G. Comer Duncan; Lambertus Hesselink
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Paper Abstract

There are some "Grand Challenges" of data visualization which scientists in every application domain confront at one time or another. For example, how to access large volumes of data, how to isolate the "important" pieces of information, how to map scientific data to primitives suitable for graphical algorithms, how to achieve the speed of useful interaction, why won't off-the-shelf software do what I need it to do, how to make hardcopy, etc., are just some of the common problems. This panel session addresses issues like these, from the point of view of the scientist who uses visualization as a research tool. Each panelist was invited to submit a short "position paper", which is reproduced here.

Paper Details

Date Published: 1 August 1990
PDF: 7 pages
Proc. SPIE 1259, Extracting Meaning from Complex Data: Processing, Display, Interaction, (1 August 1990); doi: 10.1117/12.19997
Show Author Affiliations
H. Stephen Anderson, Ohio Supercomputer Graphics Project (United States)
Lee T. Andrews, Medical College of Ohio (United States)
Edward M. Buturla, IBM Corp. (United States)
G. Comer Duncan, Bowling Green State Univ. (United States)
Lambertus Hesselink, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 1259:
Extracting Meaning from Complex Data: Processing, Display, Interaction
Edward J. Farrell, Editor(s)

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