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.

for detailed descriptions of the algorithm & methodolgy 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

Empirical methods in short-term climate prediction
H. M. van den Dool
Oxford University Press, Oxford, New York (2007)



install and load the devtools package.

For the stable release version of remote use


To install the development version use

install_github("environmentalinformatics-marburg/remote", ref = "develop")


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


Reference manual

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1.2.1 by Tim Appelhans, 2 years ago

Browse source code at https://github.com/cran/remote

Authors: Tim Appelhans , Florian Detsch , Thomas Nauss

Documentation:   PDF Manual  

GPL (>= 3) | file LICENSE license

Imports grDevices, gridExtra, latticeExtra, mapdata, scales, stats, utils

Depends on Rcpp, raster, methods

Suggests maps, lattice, grid, sp

Linking to Rcpp

See at CRAN