anomalize

an optional RasterLayer to be used as the reference

reference

additional arguments passed to <code><a rd-options="" href="/link/calc?package=remote&version=1.2.1" data-mini-rdoc="remote::calc">calc</a></code> (and, in turn, 
<code><a rd-options="" href="/link/writeRaster?package=remote&version=1.2.1" data-mini-rdoc="remote::writeRaster">writeRaster</a></code>) which is used under the hood


The function creates an anomaly RasterStack either based on the
overall mean of the original stack, or a supplied reference RasterLayer.
For the creation of seasonal anomalies use <code><a rd-options="" href="/link/deseason?package=remote&version=1.2.1" data-mini-rdoc="remote::deseason">deseason</a></code>.


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.

Tim Appelhans

remote

Empirical Orthogonal Teleconnections in R

anomalize function

additional arguments passed to <code><a rd-options='' href='calc'>calc</a></code> (and, in turn, 
<code><a rd-options='' href='writeRaster'>writeRaster</a></code>) which is used under the hood


The function creates an anomaly RasterStack either based on the
overall mean of the original stack, or a supplied reference RasterLayer.
For the creation of seasonal anomalies use <code><a rd-options='' href='deseason'>deseason</a></code>.


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anomalize: Create an anomaly RasterStack

Description

Usage

Arguments

Value

See Also

Examples