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Activity Number:
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484
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Type:
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Invited
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Date/Time:
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Thursday, August 10, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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International Indian Statistical Association
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| Abstract - #304975 |
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Title:
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Fixed Rank Kriging for Massive Datasets
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Author(s):
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Noel Cressie*+ and Gardar Johannesson
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Companies:
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The Ohio State University and Lawrence Livermore National Laboratory
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Address:
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Department of Statistics, Columbus, OH, 43210-1247,
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Keywords:
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BLUP ; covariance function ; geostatistics ; kriging variance ; nonstationarity ; total column ozone
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Abstract:
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Environmental datasets obtained from satellites are typically massive in size. The massiveness causes problems in computing optimal spatial predictors, such as kriging. In this paper, a flexible family of nonstationary covariance functions is constructed using a set of basis functions fixed in number. This results in computational simplications in deriving the kriging predictor and its kriging variance. We call the methodology fixed rank kriging (FRK), and we apply it to a large dataset of remotely sensed Total Column Ozone (TCO) data, observed over the entire globe.
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