Integrated Spatial Uncertainty Visualization using Off-screen Aggregation

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2015
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EuroVis Workshop on Visual Analytics (EuroVA) / Enrico Bertini et al. (ed.). - Goslar : The Eurographics Association, 2015. - pp. 49-53. - ISBN 978-3-905674-86-6
Abstract
Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely influence data reliability. When exploring large spatial datasets, we face two main challenges: data and uncertainty are two different sets which need to be integrated into one visualization, and we often lose the contextual overview when zooming or filtering to see details. In this paper, we present an extrinsic uncertainty visualization as well as an off-screen technique which integrates the uncertainty representation and enables the user to perceive data context and topology in the analysis process. We show the applicability and usefulness of our approach in a use case.
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004 Computer Science
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EuroVis Workshop on Visual Analytics (EuroVA), May 25, 2015 - May 29, 2015, Cagliari
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Cite This
ISO 690JÄCKLE, Dominik, Hansi SENARATNE, Juri F. BUCHMÜLLER, Daniel A. KEIM, 2015. Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. EuroVis Workshop on Visual Analytics (EuroVA). Cagliari, May 25, 2015 - May 29, 2015. In: ENRICO BERTINI, , ed. and others. EuroVis Workshop on Visual Analytics (EuroVA). Goslar:The Eurographics Association, pp. 49-53. ISBN 978-3-905674-86-6. Available under: doi: 10.2312/eurova.20151103
BibTex
@inproceedings{Jackle2015Integ-32352,
  year={2015},
  doi={10.2312/eurova.20151103},
  title={Integrated Spatial Uncertainty Visualization using Off-screen Aggregation},
  isbn={978-3-905674-86-6},
  publisher={The Eurographics Association},
  address={Goslar},
  booktitle={EuroVis Workshop on Visual Analytics (EuroVA)},
  pages={49--53},
  editor={Enrico Bertini},
  author={Jäckle, Dominik and Senaratne, Hansi and Buchmüller, Juri F. and Keim, Daniel A.}
}
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