Uncertainty visualization : fundamentals and recent developments
- Author
- David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth (UGent) , Miriam Butt, Andrea Barth, Oliver Deussen and Daniel Weiskopf
- Organization
- Project
- Abstract
- This paper provides a brief overview of uncertainty visualization along with some fundamental considerations on uncertainty propagation and modeling. Starting from the visualization pipeline, we discuss how the different stages along this pipeline can be affected by uncertainty and how they can deal with this and propagate uncertainty information to subsequent processing steps. We illustrate recent advances in the field with a number of examples from a wide range of applications: uncertainty visualization of hierarchical data, multivariate time series, stochastic partial differential equations, and data from linguistic annotation.
- Keywords
- General Computer Science, Uncertainty visualization, multivariate data, hierarchical data, partial differential equations, linguistics
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8765055
- MLA
- Hägele, David, et al. “Uncertainty Visualization : Fundamentals and Recent Developments.” IT-INFORMATION TECHNOLOGY, vol. 64, no. 4–5, 2022, pp. 121–32, doi:10.1515/itit-2022-0033.
- APA
- Hägele, D., Schulz, C., Beschle, C., Booth, H., Butt, M., Barth, A., … Weiskopf, D. (2022). Uncertainty visualization : fundamentals and recent developments. IT-INFORMATION TECHNOLOGY, 64(4–5), 121–132. https://doi.org/10.1515/itit-2022-0033
- Chicago author-date
- Hägele, David, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, and Daniel Weiskopf. 2022. “Uncertainty Visualization : Fundamentals and Recent Developments.” IT-INFORMATION TECHNOLOGY 64 (4–5): 121–32. https://doi.org/10.1515/itit-2022-0033.
- Chicago author-date (all authors)
- Hägele, David, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, and Daniel Weiskopf. 2022. “Uncertainty Visualization : Fundamentals and Recent Developments.” IT-INFORMATION TECHNOLOGY 64 (4–5): 121–132. doi:10.1515/itit-2022-0033.
- Vancouver
- 1.Hägele D, Schulz C, Beschle C, Booth H, Butt M, Barth A, et al. Uncertainty visualization : fundamentals and recent developments. IT-INFORMATION TECHNOLOGY. 2022;64(4–5):121–32.
- IEEE
- [1]D. Hägele et al., “Uncertainty visualization : fundamentals and recent developments,” IT-INFORMATION TECHNOLOGY, vol. 64, no. 4–5, pp. 121–132, 2022.
@article{8765055,
abstract = {{This paper provides a brief overview of uncertainty visualization along with some fundamental considerations on uncertainty propagation and modeling. Starting from the visualization pipeline, we discuss how the different stages along this pipeline can be affected by uncertainty and how they can deal with this and propagate uncertainty information to subsequent processing steps. We illustrate recent advances in the field with a number of examples from a wide range of applications: uncertainty visualization of hierarchical data, multivariate time series, stochastic partial differential equations, and data from linguistic annotation.}},
author = {{Hägele, David and Schulz, Christoph and Beschle, Cedric and Booth, Hannah and Butt, Miriam and Barth, Andrea and Deussen, Oliver and Weiskopf, Daniel}},
issn = {{1611-2776}},
journal = {{IT-INFORMATION TECHNOLOGY}},
keywords = {{General Computer Science,Uncertainty visualization,multivariate data,hierarchical data,partial differential equations,linguistics}},
language = {{eng}},
number = {{4-5}},
pages = {{121--132}},
title = {{Uncertainty visualization : fundamentals and recent developments}},
url = {{http://doi.org/10.1515/itit-2022-0033}},
volume = {{64}},
year = {{2022}},
}
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