Empirical Orthogonal Function Toolbox
Empirical Orthogonal Function Toolbox
Version 1.0
EOF decomposition for marine/atmospheric science.
See also: PCA, FA, SVD
Functions
1. eof: Emperical Orthogonal Functions (Principle Component Analysis)
2. meof: Multi-variable Emperical Orthogonal Functions (MEOF), or Combined EOF (CEOF)
More EOF functions (like Trend-EOF) will be added in the future if I feel boring, or my obsessive-compulsive disorder comes back again.
Syntax:
[eof_maps, pcs, expvar, eig_values] = eof(data, varargin)
[eof_maps1, eof_maps2, pcs, expvar, eig_values] = meof(data1, data2, varargin)
Author
Zelun Wu
zelunwu@stu.xmu.edu.cn, zelunwu@udel.edu
College of Ocean and Earth Sicence, Xiamen University
College of Earth, Ocean and Environment, University of Delaware
自强不息,止于至善。
Acknowledgments:
Thanks to Dr. Meunchow from University of Delaware and his "Time Series and Data Analysis" course.
http://muenchow.cms.udel.edu
Cite As
Zelun Wu (2024). Empirical Orthogonal Function Toolbox (https://github.com/zelunwu/eof/releases/tag/v1.2), GitHub. Retrieved .
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Version | Published | Release Notes | |
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1.2 | See release notes for this release on GitHub: https://github.com/zelunwu/eof/releases/tag/v1.2 |
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1.1 | See release notes for this release on GitHub: https://github.com/zelunwu/eof/releases/tag/v1.1 |
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1.0 |