longtermMeans

Calculate long-term means from an input 'RasterStack' (or 'RasterBrick')
object. Ideally, the number of input layers should be divisable by the
supplied <code>cycle.window</code>. For instance, if <code>x</code> consists of monthly
layers, <code>cycle.window</code> should be a multiple of 12.

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

Florian Detsch

Thomas Nauss

longtermMeans function

<dl><dt>x</dt>
<dd>A 'RasterStack' (or 'RasterBrick') object.</dd>
<dt>cycle.window</dt>
<dd>'integer'. See <code>deseason()</code>.</dd></dl>

Arguments

Author

Calculate long-term means from a 'RasterStack' — longtermMeans

<dl>

<dt>x</dt>
<dd>A 'RasterStack' (or 'RasterBrick') object.</dd>


<dt>cycle.window</dt>
<dd>'integer'. See <code>deseason()</code>.</dd>

</dl>

longtermMeans: Calculate long-term means from a 'RasterStack'

Description

Usage

Value

Arguments

Author

See Also

Examples