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Accessing and visualizing scientific spatiotemporal dataThis paper discusses work done by JPL's Parallel Applications Technologies Group in helping scientists access and visualize very large data sets through the use of multiple computing resources, such as parallel supercomputers, clusters, and grids.
Document ID
20060043221
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
hdl:2014/37916
Authors
Katz, Daniel S.
Bergou, Attila
Berriman, G. Bruce
Block, Gary L.
Collier, Jim
Curkendall, David W.
Good, John
Husman, Laura
Jacob, Joseph C.
Laity, Anastasia
Li, P. Peggy
Miller, Craig
Prince, Tom
Siegel, Herb
Williams, Roy
Date Acquired
August 23, 2013
Publication Date
June 1, 2004
Meeting Information
Meeting: 16th International Conference on Scientific and Statistical Data Base Management
Location: Santorini
Country: Greece
Start Date: June 21, 2004
Distribution Limits
Public
Copyright
Other
Keywords
rendering
geospatial
terrain
astronomy
geographic

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