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Visually representing multi-valued scientific data using concepts from painting

Laidlaw, David H. and Kremers, David and Ahrens, Eric T. and Avalos, Matthew J. (1998) Visually representing multi-valued scientific data using concepts from painting. In: SIGGRAPH '98 ACM SIGGRAPH 98 Conference abstracts and applications. ACM , New York, NY, p. 249. ISBN 1-58113-046-5. http://resolver.caltech.edu/CaltechAUTHORS:20161121-154225101

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Abstract

Vector-valued and tensor-valued images are rich sources of information about many physical phenomena. Visually representing these images so that they can be understood is a challenge, however, because they contain so many inter-related components, all of which must be represented simultaneously and intuitively.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1145/280953.282211DOISketch
http://dl.acm.org/citation.cfm?doid=280953.282211PublisherSketch
Additional Information:© 1998 ACM. NSF (CCR-96-19649); NIDA, NIMH, NSF (Human Brain Project); NSF (ASC-89-20219); Beckman Institute; Apple, DEC, HP, IBM
Funders:
Funding AgencyGrant Number
NSFCCR-96-19649
National Institute on Drug AbuseUNSPECIFIED
National Institutes of Mental Health (NIMH)UNSPECIFIED
NSFASC-89-20219
Caltech Beckman InstituteUNSPECIFIED
AppleUNSPECIFIED
DECUNSPECIFIED
HPUNSPECIFIED
IBMUNSPECIFIED
Record Number:CaltechAUTHORS:20161121-154225101
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20161121-154225101
Official Citation:David H. Laidlaw, David Kremers, Eric T. Ahrens, and Matthew J. Avalos. 1998. Visually representing multi-valued scientific data using concepts from painting. In ACM SIGGRAPH 98 Conference abstracts and applications (SIGGRAPH '98). ACM, New York, NY, USA, 249-. DOI=http://dx.doi.org/10.1145/280953.282211
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:72217
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:22 Nov 2016 00:15
Last Modified:22 Nov 2016 00:15

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