Why is isotropy so prevalent in spatial statistics?
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Authors
Ma, Chunsheng
Advisors
Issue Date
2007-03
Type
Article
Keywords
Covariance , Geometrically anisotropic , Isotropic , Negative definite , Positive definite , Variogram , Norm (Mathematics)
Citation
Ma, Chunsheng. 2007. Why is isotropy so prevalent in spatial statistics?. Proceedings of the American Mathematical Society, v.135 no.3: pp.865-871
Abstract
There are many reasons for the popular use of the isotropic or geometrically anisotropic covariance function and variogram in spatial statistics. A less known reason demonstrated in this paper is that an isotropic or geometrically anisotropic model would be the only choice in certain circumstances, for instance, when the underlying random field is smooth enough.
Table of Contents
Description
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Publisher
American Mathematical Society
Journal
Book Title
Series
Proceedings of the American Mathematical Society;v.135 no.3
PubMed ID
DOI
ISSN
0002-9939
1088-6826
1088-6826