TY - CHAP A1 - Bonneau, Georges-Pierre A1 - Hege, Hans-Christian A1 - Johnson, Chris R. A1 - Oliveira, Manuel M. A1 - Potter, Kristin A1 - Rheingans, Penny A1 - Schultz, Thomas T1 - Overview and State-of-the-Art of Uncertainty Visualization T2 - Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization N2 - The goal of visualization is to effectively and accurately communicate data. Visualization research has often overlooked the errors and uncertainty which accompany the scientific process and describe key characteristics used to fully understand the data. The lack of these representations can be attributed, in part, to the inherent difficulty in defining, characterizing, and controlling this uncertainty, and in part, to the difficulty in including additional visual metaphors in a well designed, potent display. However, the exclusion of this information cripples the use of visualization as a decision making tool due to the fact that the display is no longer a true representation of the data. This systematic omission of uncertainty commands fundamental research within the visualization community to address, integrate, and expect uncertainty information. In this chapter, we outline sources and models of uncertainty, give an overview of the state-of-the-art, provide general guidelines, outline small exemplary applications, and finally, discuss open problems in uncertainty visualization. Y1 - 2014 UR - https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/5222 SN - 978-1-4471-6496-8 SP - 3 EP - 27 PB - Springer ER -