Abstract
This paper suggests a new visualization taxonomy to emphasize the scientist/user and his/her needs during data processing supported by visualization. A formal definition of data attributes and perceptual judgment (interpretation aim) ensures useful visual interpretation with less exploratory character.
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References
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© 1991 Springer-Verlag Berlin Heidelberg
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Domik, G. (1991). The role of visualization in understanding data. In: Maurer, H. (eds) New Results and New Trends in Computer Science. Lecture Notes in Computer Science, vol 555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0038184
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DOI: https://doi.org/10.1007/BFb0038184
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Print ISBN: 978-3-540-54869-0
Online ISBN: 978-3-540-46457-0
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