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Spatial design and strength of spatial signal: Effects on covariance estimation

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Kathryn M. Irvine, Alix I. Gitelman, and Jennifer A. Hoeting, 2007, Spatial design and strength of spatial signal: Effects on covariance estimation: Journal of Agricultural, Biological, and Environmental Statistics, v. 12, iss. 4.

Summary

In a spatial regression context, scientists are often interested in a physical interpretation of components of the parametric covariance function. For example, spatial covariance parameter estimates in ecological settings have been interpreted to describe spatial heterogeneity or “patchiness” in a landscape that cannot be explained by measured covariates. In this article, we investigate the influence of the strength of spatial dependence on maximum likelihood (ML) and restricted maximum likelihood (REML) estimates of covariance parameters in an exponential-with-nugget model, and we also examine these influences under different sampling designs—specifically, lattice designs and more realistic random and cluster designs—at differing [...]

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Type Scheme Key
local-index unknown 70169992
local-pk unknown 70169992
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1198/108571107X249799
series unknown Journal of Agricultural, Biological, and Environmental Statistics

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citationTypeArticle
journalJournal of Agricultural, Biological, and Environmental Statistics
languageEnglish
parts
typevolume
value12
typeissue
value4

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