File Exchange

image thumbnail

Empirical Orthogonal Function Toolbox

version 1.2 (5.64 KB) by Zelun Wu
EOF Toolbox for marine and atmospheric science

10 Downloads

Updated 07 Jun 2020

GitHub 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 (2020). Empirical Orthogonal Function Toolbox (https://github.com/zelunwu/eof/releases/tag/v1.2), GitHub. Retrieved .

Comments and Ratings (0)

Updates

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

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Tags Add Tags