Visualization of Large Multi-Dimensional Datasets

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dc.creatorWelling, Joel
dc.creatorDerthick, Mark
dc.date2000-08-11
dc.date.accessioned2026-07-07T01:54:55Z
dc.date.available2026-07-07T01:54:55Z
dc.descriptionVisualization 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.
dc.descriptionProceedings 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
dc.identifierhttps://arxiv.org/abs/astro-ph/0008186
dc.identifierhttp://arxiv.org/abs/astro-ph/0008186
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/1476
dc.subjectAstrophysics
dc.titleVisualization of Large Multi-Dimensional Datasets
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