摘要: A truthful and unbiased display of data using information visualization requires detecting communicating uncertainty. Uncertainty is often inherent in or introduced by processing (e.g., visual accumulated data) but frequently not accounted for. This paper discusses the suitability advanced variables such as sketchiness, noise, nesting-level contouring, color weaving for
acm.org 
sci-hub.st 参考文章(4)
Suzana Djurcilov, Kwansik Kim, Pierre Lermusiaux, Alex Pang, Visualizing scalar volumetric data with uncertainty Computers & Graphics. ,vol. 26, pp. 239- 248 ,(2002) , 10.1016/S0097-8493(02)00055-9
Alexandre Coninx, Georges-Pierre Bonneau, Jacques Droulez, Guillaume Thibault, Visualization of uncertain scalar data fields using color scales and perceptually adapted noise applied perception in graphics and visualization. pp. 59- 66 ,(2011) , 10.1145/2077451.2077462
Daniel Limberger, Willy Scheibel, Sebastian Hahn, Jürgen Döllner, Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes international conference on information visualization theory and applications. pp. 176- 185 ,(2017) , 10.5220/0006267501760185
Daniel Limberger, Willy Scheibel, Jürgen Döllner, Matthias Trapp, Advanced Visual Metaphors and Techniques for Software Maps visual information communication and interaction. ,(2019) , 10.1145/3356422.3356444