Henning Griethe and Heidrun Schumann.
Visualizing Uncertainty for Improved Decision Making.
In Proceedings of the 4th International Conference on Business Informatics Research, 2005.

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Abstract:

Decision making often depends on the analysis and evaluation of large amounts of data for which information visualization proved to be a valuable approach. The recognition of uncertainty in the data is crucial and it should therefore be appropriately represented. However, suitable methods for its visualization are in many cases not available. This paper provides a general view on uncertainty with respect to a widely accepted information model. Out of this view it explains why the recognition of uncertainty plays an important role for decisions, and it depicts available but especially missing visualization concepts today, e.g. for the display of uncertain relationships. To fill that gap new ideas are derived for an improved visual decision support.

Bibtex:

@InProceedings{  griethe:2005:VUID,
  Author = 	 {Henning Griethe and Heidrun Schumann},
  title = 	 {Visualizing Uncertainty for Improved Decision Making},
  booktitle =    {Proceedings of the 4th International Conference on
                  Business Informatics Research},
  year = 	 {2005},
  address = 	 {Sk{\"o}vde, Sweden},
}

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References:

K. Appleton. Representing uncertainty in geovisualisation: a research agenda. European Science Foundation conference on Geovisualization, Crete, 2004.
M. K. Beard, B. P. Buttenfield and S. B. Clapham. NCGIA Research Initiative 7: Visualization of Spatial Data Quality. Technical Paper 91-26, National Center for Geographic Information and Analysis, 1991.
M. K. Beard and B. Buttenfield. 1999. Detecting and Evaluating Errors by Graphical Methods. In Geographic Information Systems: Principles and Technical Issues. New York: John Wiley Vol. 1, pp. 219-233, 1999.
J. Bertin. Graphics and Graphic Information Processing. deGruyter Press, Berlin, 1977.
A. S. Bisantz, T. Kesavadas, P. Scott, D. Lee, S. Basapur, P. Bhide, C. Sharma and E. Roth. Holistic Battlespace Visualization: Advanced Concepts in Information Visualization and Cognitive Studies. Technical Report to the Center for Multisource Information Fusion, University of Buffalo, 2002.
A. Cedilnik and P. Rheingans. Procedural Annotation of Uncertain Information. Proc. Vis'00, IEEE Visualization, Salt Lake City, UT, 2000.
J. D. Fekete and C. Plaisant. Interactive Information Visualization of a Million Items. Proceedings of IEEE Symposium on Information Visualization 2002, Boston, 2002.
Shiping Huang. Exploratory Visualization of Data with Variable Quality. Master thesis, Worcester Polytechnic Institute, 2005.
G. J. Hunter and M.F. Goodchild. Managing uncertainty in spatial databases: Putting theory into practice. Journal of Urban and Regional Information Systems Association, 5(2): p. 55-62, 1993.
A. Inselberg. The plane with parallel coordinates. The Visual Computer, 1(2):69-92, 1985.
T. Isenberg. Visualisierung von Modellierungsentscheidungen und Unsicherheiten in virtuellen Rekonstruktionen. Unpublished report at the Department of Simulation and Graphics, Otto-von- Guericke University Magdeburg, Germany, 1999.
C. R. Johnson and A. R. Sanderson. A Next Step: Visualizing Errors and Uncertainty. In: Visualization Viewpoints published by IEEE Computer Society, 2003.
B. Johnson and B. Shneiderman. Tree-maps: A Space Filling Approach to the Visualization of Hierarchical Information Structures. In IEEE Visualization '91. IEEE, 1991.
T. A. Keahey. The Generalized Detail-in-Context Problem. In Proceedings of the IEEE Symposium on Information Visualization, IEEE Visualization, 1998.
Klir, G. and M. Wierman. Uncertainty-Based Information: Elements of Generalized Information Theory. 2nd edition, Physica-Verlag, 1999.
J. D. Kardos, A. Moore and G. L. Benwell. Visualising Uncertainty in Spatially-Referenced Attribute Data using Hierarchical Spatial Data Structures. Proceedings of the 7th International Conference on GeoComputation, UK, 2003.
D. Keim, W. Mueller and H. Schumann. Visual Data Mining. Eurographics STAR proceedings, Saarbruecken, 2002.
M. Kreuseler. Ein flexibles Framework zum Visuellen Data Mining. Dissertation, chair of computer graphics, University of Rostock, 2004.
A. Lopes and K. W. Brodlie. Accuracy in 3D Particle Tracing. In: Mathematical Visualizations: Algorithms, Applications and Numerics, Heidelberg, 1998.
S. K. Lodha, C. M. Wilson and R. E. Sheehan. LISTEN: Sounding Uncertainty Visualization. Proceedings of the 7th IEEE Visualization '96 Conference, San Francisco, 1996.
J. Paradis and M. K. Beard. Visualization of Data Quality for the Decision Maker: A Data Filter. Journal of the Urban and Regional Information Systems Association 6(2): 25-34, 1994.
A. Pang. Visualizing Uncertainty in Geo-spatial Data. In Proceedings of the Workshop on the Intersections between Geospatial Information and Information Technology, Arlington, 2001.
A. Pang, J. Furman and W. Nuss. Data quality issues in visualization. SPIE Proceedings on Visual Data Exploration and Analysis I, Vol. 2178, pp. 12-23, 1994.
A. Pang, C. M. Wittenbrink and S. K. Lodha. Approaches to uncertainty visualization. The Visual Computer 13, 1997.
G. S. Schmidt, S.-L. Chen, A. N. Bryden, M. A. Livingston, B. R. Osborn and L. J. Rosenblum. Multi-dimensional Visual Representations for Underwater Environmental Uncertainty. IEEE Computer Graphics and Applications, Special Issue on Visual Analytics, 2004.
H. Schumann and W. Mueller. Informationsvisualisierung: Methoden und Perspektiven. it-Infor- mation Technologie 3(2004), Oldenburg Verlag, 2004.
H. Shu, S. Spaccapietra, C. Parent and D. Q. Sedas. Uncertainty of Geographic Information and Its Support in MADS. 2nd International Symposium on Spatial Data Quality, Hong Kong, 2003.
B. N. Taylor and C. E. Kuyatt. Guidelines for evaluating and expressing the uncertainty of NIST measurement results. Technical report, National Institute of Standards and Technology, Technical Note 1297, Gaithersburg, 1993.
J. Thomson, B. Hetzler, A. MacEachren, M. Gahegan and M. Pavel. A Typology for Visualizing Uncertainty. In Proceedings of the IS and T/SPIE Symposium on Electronic Imaging, Conference on Visualization and Data Analysis, San Jose, 2005.
S. Wendt. Nichtphysikalische Grundlagen der Informationstechnik, Springer-Verlag, Berlin, 1991.
F. J. M. vdWel, L. C. vdGaag and B. G. H. Gorte. Visual Exploration of Uncertainty in Remote- sensing Classification. Computers and Geosciences, v.24 n.4, p.335-343, 1998.