TY - JOUR A1 - Müller, André A1 - Lausser, Ludwig A1 - Wilhelm, Adalbert A1 - Ropinski, Timo A1 - Platzer, Matthias A1 - Neumann, Heiko A1 - Kestler, Hans A. T1 - A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data JF - Advances in Data Analysis and Classification N2 - Visualising data as diagrams using visual attributes such as colour, shape, size, and orientation is challenging. In particular, large data sets demand graphical display as an essential step in the analysis. In order to achieve comprehension often different attributes need to be displayed simultaneously. In this work a comprehensible bivariate, perceptually optimised visualisation scheme for high-dimensional data is proposed and evaluated. It can be used to show fold changes together with confidence values within a single diagram. The visualisation scheme consists of two parts: a uniform, symmetric, two-sided colour scale and a patch grid representation. Evaluation of uniformity and symmetry of the two-sided colour scale was performed in comparison to a standard RGB scale by twenty-five observers. Furthermore, the readability of the generated map was validated and compared to a bivariate heat map scheme. UR - https://doi.org/10.1007/s11634-020-00416-5 KW - colour scales KW - bivariate KW - visualisation Y1 - 2020 UR - https://doi.org/10.1007/s11634-020-00416-5 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-27235 SN - 1862-5355 SN - 1862-5347 VL - 15 IS - 2 SP - 463 EP - 480 PB - Springer CY - Berlin ER -