2000/08/11 by Joel Welling, Welling, Joel, Mark Derthick +1
Computer Science · Decision Sciences · Physics and Astronomy · #Astrophysics (astro-ph) #Computational Physics and Python Applications #Data Visualization and Analytics #FOS: Physical sciences #Scientific Computing and Data Management #astro-ph
paper · pdf · doi:10.48550/arxiv.astro-ph/0008186
Proceedings from ``Virtual Observatories of the Future'' edited by R. J. Brunner, S. G. Djorgovski, A. Szalay. Part of the ``Computational AstroStatistics'' collaboration at CMU/UPittsburgh
arxiv created 2000/08/11 · openalex publication_date 2000/08/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.