Empirical Orthogonal Function Toolbox

Version 1.2 (5.06 KB) by Zelun Wu
EOF Toolbox for marine and atmospheric science
0.0
(0)
748 Downloads
Updated 7 Jun 2020
View License on GitHub

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 (2026). Empirical Orthogonal Function Toolbox (https://github.com/zelunwu/eof/releases/tag/v1.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.2

See release notes for this release on GitHub: https://github.com/zelunwu/eof/releases/tag/v1.2
1.1

See release notes for this release on GitHub: https://github.com/zelunwu/eof/releases/tag/v1.1
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.