Visualization by Examples: Mapping Data to Visual Representations using Few Correspondences

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 multidimcnsional space of visual representations. The mapping between these spaces can he defined by approximating or satisfying the user defined relations between data values and visual atributes.