mean.spatialDecorrelationMeasure

Compute average measres of spatial decorrelation out of the result of a call
to <code>spatialDecorrelation()</code>

Support for geostatistical analysis of multivariate data,
in particular data with restrictions, e.g. positive amounts,
compositions, distributional data, microstructural data, etc.
It includes descriptive analysis and modelling for such data, both
from a two-point Gaussian perspective and multipoint perspective.
The methods mainly follow Tolosana-Delgado, Mueller and van den
Boogaart (2018) <doi:10.1007/s11004-018-9769-3>.

K Gerald van den Boogaart

gmGeostats

Geostatistics for Compositional Analysis

Raimon Tolosana-Delgado

Ute Mueller

K. Gerald van den Boogaart

Hassan Talebi

Helmholtz-Zentrum Dresden-Rossendorf 

Edith Cowan University 

mean.spatialDecorrelationMeasure function

<dl><dt>x</dt>
<dd>the outcome of a call to <code>spatialDecorrelation()</code></dd>
<dt>...</dt>
<dd>further arguments to mean</dd></dl>

Arguments

Average measures of spatial decorrelation — mean.spatialDecorrelationMeasure

<dl>

<dt>x</dt>
<dd>the outcome of a call to <code>spatialDecorrelation()</code></dd>


<dt>...</dt>
<dd>further arguments to mean</dd>

</dl>

mean.spatialDecorrelationMeasure: Average measures of spatial decorrelation

Description

Usage

Value

Arguments

See Also