Visualizing spatial data uncertainty using animation

Visualizing spatial data uncertainty using animation This paper examines methodologies for dynamically displaying information about uncertainty. Modeling uncertainty in elevation data results in the generation of dozens or hundreds of realizations of the elevation surface. Producing animations of these surfaces is an approach to exploratory data visualization that may assist the researcher in understanding the effect of uncertainty on spatial applications as well as in communicating the results of the research to a wider audience. A nonlinear method for interpolation between the surface realizations is introduced which allows for smooth animation while maintaining the surface characteristics prescribed by the uncertainty model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers & Geosciences Elsevier

Visualizing spatial data uncertainty using animation

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Publisher
Elsevier
Copyright
Copyright © 1997 Elsevier Ltd
ISSN
0098-3004
eISSN
1873-7803
D.O.I.
10.1016/S0098-3004(97)00005-8
Publisher site
See Article on Publisher Site

Abstract

This paper examines methodologies for dynamically displaying information about uncertainty. Modeling uncertainty in elevation data results in the generation of dozens or hundreds of realizations of the elevation surface. Producing animations of these surfaces is an approach to exploratory data visualization that may assist the researcher in understanding the effect of uncertainty on spatial applications as well as in communicating the results of the research to a wider audience. A nonlinear method for interpolation between the surface realizations is introduced which allows for smooth animation while maintaining the surface characteristics prescribed by the uncertainty model.

Journal

Computers & GeosciencesElsevier

Published: May 1, 1997

References

  • First order analysis of uncertainty in numerical models of groundwater flow: part 1: mathematical development
    Dettinger, M.D.; Wilson, J.L.
  • Spatial autocorrelation
    Goodchild, M.F.
  • Visualization of data quality
    van der Wel, F.J.; Hootsmans, R.M.; Ormeling, F.

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