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Abstract Details
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Activity Number:
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215
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #300217 |
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Title:
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Exploring and Visualizing Uncertainty in Multidimensional Spatial Random Fields
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Author(s):
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Reinhard Furrer*+ and Stephan Sain
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Companies:
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University of Zurich and National Center for Atmospheric Research
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Address:
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, , International, , Switzerland
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Keywords:
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Climate ;
Color schemes ;
MCMC posteriors ;
Multivariate Spatial processes
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Abstract:
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A sample of a bivariate Gaussian distribution is easily represented by isolines of the (empirical) density, or by reporting the means, standard deviations and correlation. In the case of bivariate Gaussian fields finding an appropriate representation with a straightforward interpretation is much more difficult. This is, for example, relevant to climate scientists dealing with fields of gridded temperatures and precipitation changes, for which it is crucial to summarize the relationships between both mean and both (pointwise) standard deviation fields. We present a simple software tool that allows to explore and visualize such relationships. The interactive software to quickly determine regions and clusters with similar properties. The basic idea is to use color schemes to represent several dimensions instead of a "one-dimensional" color label.
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