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Methods for the interpolation and smoothing of large spatial datasets.
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For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. Includes methods for summaries and plotting along with support for sparse algorithms for large data sets.
Published in , 2023
Published in Journal of the American Statistical Association, 2001
This paper is one of the first applications of a Bayesian hierarchical model to a large geophysical problem. Research was done while Chris Wikle was a post doc at NCAR and Mark Berliner was the Statistics Project lead.
Recommended citation: *As bibtex* http://dnychka.github.io/files/wikle2001spatiotemporal.pdf
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