Carnegie Mellon University
Browse
file.pdf (280.81 kB)

Visualization of Large Multi-Dimensional Datasets

Download (280.81 kB)
journal contribution
posted on 2000-01-01, 00:00 authored by Joel Welling, Mark Derthick
Visualization techniques are well developed for many problem domains, but these systems break down for datasets which are very large or multidimensional. Techniques for data which is discrete rather than continuous are also less well studied. Astronomy datasets like the Sloan Digital Sky Survey are very much in this category. We propose the extension of information visualization techniques to these very large record-oriented datasets. Specifically, we describe the possible adaptation of the Visage information visualization tool to terabyte astronomy datasets.

History

Date

2000-01-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC