EOF

버전 1.2 (14.6 MB) 작성자: Chad Greene
Empirical Orthogonal Functions tailored for spatiotemporal analysis, with a tutorial.
다운로드 수: 4.6K
업데이트 날짜: 2019/7/9

라이선스 보기

This standalone version of the EOF function is no longer being maintained. It still works fine, but you'll find the most up-to-date version in the Climate Data Toolbox for MATLAB here: https://www.mathworks.com/matlabcentral/fileexchange/70338. If the eof function has been useful for you, please cite our Climate Data Toolbox for MATLAB paper!

This function simplifies the process of applying Empirical Orthogonal Functions (spatiotemporal principal component analysis) to 3D datasets such as climate data. EOF analysis is not terribly difficult to implement, but much time is often spent trying to figure out how to reshape a big 3D dataset, get the EOFs, and then un-reshape. This function does all the reshaping for you, and performs EOF analysis in a computationally efficient manner. The analysis method is a streamlined and optimized version of Guillame MAZE's caleof function, method 2.

For a full description and an in-depth tutorial describing how to perform EOF analysis on climate data, click on the Example tab above.

인용 양식

Greene, C. A., Thirumalai, K., Kearney, K. A., Delgado, J. M., Schwanghart, W., Wolfenbarger, N. S., et al. (2019). The Climate Data Toolbox for MATLAB. Geochemistry, Geophysics, Geosystems, 20. https://doi.org/10.1029/2019GC008392

MATLAB 릴리스 호환 정보
개발 환경: R2012b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Oceanography and Hydrology에 대해 자세히 알아보기

Community Treasure Hunt

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

Start Hunting!

EOF

버전 게시됨 릴리스 정보
1.2

updated citation.

1.1

Fixed the issues that arose from rounding the explained variance values, fixed the issue of results going complex for large numbers of modes, updated and expanded the Tutorial.

1.0.0.0

Typo fix in the documentation.
Added a simple example in the tutorial.