Empirical Orthogonal Function Toolbox

版本 1.2 (5.1 KB) 作者: Zelun Wu
EOF Toolbox for marine and atmospheric science
644.0 次下载
更新时间 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 (2024). Empirical Orthogonal Function Toolbox (https://github.com/zelunwu/eof/releases/tag/v1.2), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2020a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
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 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库