Abstract
In this paper we propose a new approach for the generation of visual scales for the visualization of scalar and multivariate data. Based on the specification of only a few correspondences between the data set and elements of a space of visual representations complex visualization mappings are produced. The foundation of this approach is the introduction of a multidimensional space of visual representations. The mapping between these spaces can be defined by approximating or satisfying the user defined relations between data values and visual atributes.
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Alexa, M., Müller, W. (1999). Visualization by Examples: Mapping Data to Visual Representations using Few Correspondences. In: Gröller, E., Löffelmann, H., Ribarsky, W. (eds) Data Visualization ’99. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6803-5_3
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DOI: https://doi.org/10.1007/978-3-7091-6803-5_3
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83344-5
Online ISBN: 978-3-7091-6803-5
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