License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.iPMVM.2020.4
URN: urn:nbn:de:0030-drops-137533
URL: https://drops.dagstuhl.de/opus/volltexte/2021/13753/
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Lohfink, Anna-Pia ; Garth, Christoph

Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps

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OASIcs-iPMVM-2020-4.pdf (2 MB)


Abstract

Modern applications in computational science are increasingly focusing on understanding uncertainty in models and parameters in simulations. In this paper, we describe visitation graphs, a novel approximation technique for the well-established visualization of steady 2D vector field ensembles using visitation maps. Our method allows the efficient and robust computation of arbitrary visitation maps for vector field ensembles. A pre-processing step that can be parallelized to a high degree eschews the needs to store every ensemble member and to re-calculate every time the start position of the visitation map is changed. Tradeoffs between accuracy of generated visitation maps on one side and pre-processing time and storage requirements on the other side can be made. Instead of downsampling ensemble members to a storable size, coarse visitation graphs can be stored, giving more accurate visitation maps while still reducing the amount of data. Thus accurate visitation map creation is possible for ensembles where the traditional visitation map creation is prohibitive. We describe our approach in detail and demonstrate its effectiveness and utility on examples from Computational Fluid Dynamics.

BibTeX - Entry

@InProceedings{lohfink_et_al:OASIcs.iPMVM.2020.4,
  author =	{Lohfink, Anna-Pia and Garth, Christoph},
  title =	{{Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{4:1--4:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13753},
  URN =		{urn:nbn:de:0030-drops-137533},
  doi =		{10.4230/OASIcs.iPMVM.2020.4},
  annote =	{Keywords: Uncertain flow visualization, Ensemble visualization, Visitation maps, In-situ}
}

Keywords: Uncertain flow visualization, Ensemble visualization, Visitation maps, In-situ
Collection: 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)
Issue Date: 2021
Date of publication: 27.04.2021


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