Revision as of 18:13, 29 November 2019 edit 108.48.181.101 (talk) →See also: Added links Tags: canned edit summary Mobile edit Mobile app edit Android app edit ← Previous edit		Revision as of 03:37, 1 July 2020 edit undo Intellec7 (talk \| contribs) 193 edits This seems to literally be (weighted-)PCA by a different name. Next edit →
Line 1: 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 similar to performing a [[principal components analysis]] on the data, except that the EOF method finds both [[time series]] and [[Three-dimensional space\|spatial]] patterns~~. The term is also interchangeable with the geographically weighted [[Principal components analysis\|PCAs]] in [[geophysics]].<ref name=eofa>{{cite web \| last1 = Stephenson \| first1 = David B. Line 39: * Christopher K. Wikle and Noel Cressie. "[https://dx.doi.org/10.1093/biomet/86.4.815 A dimension reduced approach to space-time Kalman filtering]", ''[[Biometrika]]'' 86:815-829, 1999. * Donald W. Denbo and John S. Allen. [http://journals.ametsoc.org/doi/pdf/10.1175/1520-0485(1984)014%3C0035%3AREOFAO%3E2.0.CO%3B2 "Rotary Empirical Orthogonal Function Analysis of Currents near the Oregon Coast"], "J. Phys. Oceanogr.", 14, 35-46, 1984. * David M. Kaplan [https://web.archive.org/web/20200701033210/https://websites.pmc.ucsc.edu/~dmk/notes/EOFs/EOFs.html] "Notes on EOF Analysis" {{DEFAULTSORT:Empirical Orthogonal Functions}}

Empirical orthogonal functions: Difference between revisions