Empirical Orthogonal Teleconnections in R

Empirical orthogonal teleconnections in R. 'remote' is short for 'R(-based) EMpirical Orthogonal TEleconnections'. It implements a collection of functions to facilitate empirical orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections (EOTs) denote a regression based approach to decompose spatio-temporal fields into a set of independent orthogonal patterns. They are quite similar to Empirical Orthogonal Functions (EOFs) with EOTs producing less abstract results. In contrast to EOFs, which are orthogonal in both space and time, EOT analysis produces patterns that are orthogonal in either space or time.

R EMpirical Orthogonal TEleconnections

This is the package that accompanies the publication

remote: Empirical Orthogonal Teleconnections in R
Tim Appelhans, Florian Detsch, Thomas Nauss
Journal of Statistical Software, 65(10), 1–19.
DOI: https://doi.org/10.18637/jss.v065.i10

For detailed descriptions of the algorithm & methodology please have a look at:

Empirical Orthogonal Teleconnections
H. M. van den Dool, S. Saha, Å Johansson
Journal of Climate, Volume 13, Issue 8 (April 2000) pp. 1421-1435
DOI: https://doi.org/10.1175/1520-0442(2000)013<1421:EOT>2.0.CO;2

Empirical Methods in Short-Term Climate Prediction
H. M. van den Dool
Oxford University Press, Oxford, New York (2007)
DOI: https://doi.org/10.1093/oso/9780199202782.001.0001

Installation

For the stable release version of remote use

install.packages("remote")

Contact

Please file bug reports and feature requests at https://github.com/environmentalinformatics-marburg/remote/issues