covWeight

Create a weighted covariance matrix

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

covWeight function

<dl><dt>m</dt>
<dd>a matrix (e.g. as returned by <code><a href="/link/raster%3A%3AgetValues()?package=remote&version=1.2.3" data-mini-rdoc="remote::raster::getValues()">raster::getValues()</a></code>)</dd>
<dt>weights</dt>
<dd>a numeric vector of weights. For lat/lon data this
can be produced with <code>getWeights()</code></dd>
<dt>...</dt>
<dd>additional arguments passed to <code><a href="/link/stats%3A%3Acov.wt()?package=remote&version=1.2.3" data-mini-rdoc="remote::stats::cov.wt()">stats::cov.wt()</a></code></dd></dl>

Arguments

Create a weighted covariance matrix — covWeight

<dl>

<dt>m</dt>
<dd>a matrix (e.g. as returned by <code><a href='https://rdrr.io/pkg/raster/man/getValues.html'>raster::getValues()</a></code>)</dd>


<dt>weights</dt>
<dd>a numeric vector of weights. For lat/lon data this
can be produced with <code>getWeights()</code></dd>


<dt>...</dt>
<dd>additional arguments passed to <code><a href='https://rdrr.io/r/stats/cov.wt.html'>stats::cov.wt()</a></code></dd>

</dl>

covWeight: Create a weighted covariance matrix

Description

Usage

Value

Arguments

See Also