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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 - #300466 |
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Title:
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Interactive Graphics for Visualizing Uncertainty in Climate Model Ensembles
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Author(s):
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Tamara Greasby*+ and Stephan Sain
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Companies:
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National Center for Atmospheric Research and National Center for Atmospheric Research
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Address:
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, , ,
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Keywords:
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graphics ;
R ;
climate ;
SVG ;
visualization
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Abstract:
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Interactive graphics can be useful in all stages of a statistical analysis. Relationships between variables can be understood during exploratory data analysis. Model performances and residuals can be analyzed during the model fitting process. Finally results can be shared in an understandable way with collaborators from other fields. Using climate applications as a motivator, this talk will explore several basic interactive graphic techniques in R using the SVGAnnotation package (Temple Lang and Nolan, 2009). SVG graphics are a special case of the XML language and can be readily incorporated into webpages. With the addition of several JavaScript functions, a large variety of interactivity is available. This talk will show an example of an SVG graphic created with a combination of low, medium, and high level R functions. It will include features such as tool tips, radio buttons, and mouse-over functions.
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