Data Driven Color Mapping Martin Eisemann, Georgia Albuquerque, Marcus Magnor

Martin Eisemann, Georgia Albuquerque, and Marcus Magnor: "Data Driven Color Mapping", in Proc. EuroVA: International Workshop on Visual Analytics, Bergen, Norway, May 2011. Part of project "Scalable Visual Analytics". [pdf] [bib]

Abstract

In this paper we present a simple, yet effective method to map data set values of different distributions to a color map in order to reveal interesting structures. We make use of an ordering and a simple projection technique to transform the data set before color mapping. Our transformation yields convincing results for various distributions. It also removes the burden from the user to test several mappings beforehand. A simple angular interpolation technique allows to project the data values of the visualization as desired, interactively.

TU Braunschweig - Fakultät für Mathematik und Informatik - Computer Graphics - Publications - Data Driven Color Mapping