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Plastikspork (talk | contribs) →References and notes: fix cite |
m WP:CHECKWIKI error 61 fixes + general fixes, References after punctuation per WP:REFPUNC and WP:PAIC using AWB (7671) |
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In [[statistics]] and [[signal processing]], the method of '''empirical orthogonal function (EOF)''' analysis is a decomposition of a [[signal processing|signal]] or data set in terms of [[orthogonal]] [[basis function]]s which are determined from the data. It is the same as performing a [[principal components analysis]] on the data, except that the EOF method finds both [[time series]] and [[spatial]] patterns. The term is also interchangeable with the geographically weighted [[Principal components analysis|PCAs]] in [[geophysics]]
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| first = David
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The ''i''th basis function is chosen to be orthogonal to the basis functions from the first through ''i'' − 1, and to minimize the residual [[variance]]. That is, the basis functions are chosen to be different from each other, and to account for as much variance as possible.
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