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Research report: DataSpace: 3-D visualizations of large databases
Atlanta, Georgia, USA October 30-October 31
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/INFVIS.1995.5286901995 IEEE Symposium on Information Vi ...
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V. Anupam, S. Dar, T. Leibfried, E. Petajan, "Research report: DataSpace: 3-D visualizations of large databases," Information Visualization, IEEE Symposium on, pp. 82, 1995 IEEE Symposium on Information Visualization (InfoVis '95), 1995.
 
 
BibTex
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@article{ 10.1109/INFVIS.1995.528690,
author = {V. Anupam and S. Dar and T. Leibfried and E. Petajan},
title = {Research report: DataSpace: 3-D visualizations of large databases},
journal ={Information Visualization, IEEE Symposium on},
volume = {0},
year = {1995},
isbn = {0-8186-7201-3},
pages = {82},
doi = {http://doi.ieeecomputersociety.org/10.1109/INFVIS.1995.528690},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Visualization, IEEE Symposium on
TI - Research report: DataSpace: 3-D visualizations of large databases
SN - 0-8186-7201-3
SP
EP
A1 - V. Anupam,
A1 - S. Dar,
A1 - T. Leibfried,
A1 - E. Petajan,
PY - 1995
KW - data visualisation; very large databases; computer displays; data analysis; query processing; interactive 3D visualization; large databases; large database analysis; DataSpace; display space; information panels; 3D graph layout; continuous navigation facilities; selective rearrangements; transparency; image merging; image comparison; 3D graphic operations; query step; rendering step; layout step; performance issues
VL - 0
JA - Information Visualization, IEEE Symposium on
ER -
 
V. Anupam, AT&T Bell Labs., Murray Hill, NJ, USA
S. Dar, AT&T Bell Labs., Murray Hill, NJ, USA
T. Leibfried, AT&T Bell Labs., Murray Hill, NJ, USA
E. Petajan, AT&T Bell Labs., Murray Hill, NJ, USA
DataSpace is a system for interactive 3-D visualization and analysis of large databases. DataSpace utilizes the display space by placing panels of information, possibly generated by different visualization applications, in a 3-D graph layout, and providing continuous navigation facilities. Selective rearrangements and transparency can be used to reduce occlusion or to compare or merge a set of images (e.g. line graphs or scatter plots) that are aligned and stacked in depth. A prototype system supporting the basic 3-D graphic operations (layout, zoom, rotation, translation, transparency) has been implemented. We provide several illustrative examples of DataSpace displays taken from the current system. We present the 3-D display paradigm, describe the query, layout and rendering steps required to create a display, and discuss some performance issues.
Index Terms:
data visualisation; very large databases; computer displays; data analysis; query processing; interactive 3D visualization; large databases; large database analysis; DataSpace; display space; information panels; 3D graph layout; continuous navigation facilities; selective rearrangements; transparency; image merging; image comparison; 3D graphic operations; query step; rendering step; layout step; performance issues
Citation:
V. Anupam, S. Dar, T. Leibfried, E. Petajan, "Research report: DataSpace: 3-D visualizations of large databases," infovis, pp.82, 1995 IEEE Symposium on Information Visualization (InfoVis '95), 1995
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