Document Type
Conference Proceeding
Publication Date
2016
Abstract
The popularity of open source tools is constantly increasing, as they offer the possibility to quickly create and use visualizations of arbitrary data sources. As the positive effects of uncertainty communication to all kinds of visualizations were discussed over the past years in the academic world, this work examines the uncertaintyawareness of open source solutions. Through a categorization and classification of available tools, this paper identifies the problems in uncertainty-awareness of available open source solutions. To solve this problem, a new paradigm of data handling that extends raw datasets by its uncertainty is suggested
Repository Citation
Gillmann, C.,
Wischgoll, T.,
& Hagen, H.
(2016). Uncertainty-Awareness in Open Source Visualization Solutions. .
https://corescholar.libraries.wright.edu/cse/487
Comments
Paper presented at the IEEE VIS, Vis in Practice, 2016.