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Abstract Details
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Activity Number:
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184
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #301810 |
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Title:
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A Layered Approach to Spatio-Temporal Parameter Inference
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Author(s):
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Adam Jaeger*+ and Lynne Seymour
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Companies:
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University of Georgia and University of Georgia
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Address:
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101 Cedar St, Athens, GA, 30602,
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Keywords:
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spatial ;
temporal ;
spatio-temporal ;
climate ;
crop yield
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Abstract:
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In order to make inference on a parameter estimated from spatially and temporally correlated data, we propose to model the parameter itself as a spatial variable. Using both simulated and actual data the distribution of the parameter will be determined by use of spatial modeling techniques on the temporal projection of the parameter in order to accurately make inference on the parameter. This technique will be used to make inference about the relationship between climatological factors and Canadian food crop yields.
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