Empirical Orthogonal Function Toolbox

版本 1.2 (5.1 KB) 作者: Zelun Wu
EOF Toolbox for marine and atmospheric science
750.0 次下载
更新 2020/6/7

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

引用格式

Zelun Wu (2026). Empirical Orthogonal Function Toolbox (https://github.com/zelunwu/eof/releases/tag/v1.2), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2020a
兼容任何版本
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版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库