Title :
Putting Science First: Distinguishing Visualizations from Pretty Pictures
Author_Institution :
Indiana Univ., Bloomington, IN, USA
Abstract :
How do we tell whether a proposed visualization is a valid pictorial representation of the truth or just an accidental but appealing image? Art and science can work brilliantly together in visualization science, but we must know when, and how, to distinguish them.
Keywords :
data visualisation; image representation; pictorial representation; pretty picture; visualization science; Animation; Art; Data visualization; Image color analysis; Surface reconstruction; Visualization; Calabi-Yau quintic; Calabi-Yau spaces; Einstein´s razor; Fermat surfaces; Fermat´s last theorem; art; computer graphics; falsifiability; scientific visualization; string theory; visualization;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2014.71
