TurningBands

Create a parameter set describing a turning bands algorithm to two-point simulation,
mostly for covariance or variogram-based gaussian random fields.

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 

TurningBands function

<dl><dt>nsim</dt>
<dd>number of realisations desired</dd>
<dt>nBands</dt>
<dd>number of bands desired for the decomposition of the 2D or 3D space in individual signals</dd>
<dt>seed</dt>
<dd>an object specifying if and how the random number generator should be
initialized, see <code><a href="/link/%3Fsimulate?package=gmGeostats&version=0.11.3" data-mini-rdoc="gmGeostats::?simulate">?simulate</a></code> in base "stats" package</dd>
<dt>...</dt>
<dd>further parameters, currently ignored</dd></dl>

Arguments

Create a parameter set specifying a turning bands simulation algorithm — TurningBands

<dl>

<dt>nsim</dt>
<dd>number of realisations desired</dd>


<dt>nBands</dt>
<dd>number of bands desired for the decomposition of the 2D or 3D space in individual signals</dd>


<dt>seed</dt>
<dd>an object specifying if and how the random number generator should be
initialized, see <code><a href='https://rdrr.io/r/stats/simulate.html'>?simulate</a></code> in base "stats" package</dd>


<dt>...</dt>
<dd>further parameters, currently ignored</dd>

</dl>

TurningBands: Create a parameter set specifying a turning bands simulation algorithm

Description

Usage

Value

Arguments

Examples