gmTrainingImage-class

<p>abstract class, containing any specification of a multiple-point
training image. This must be analogous to <code><a href="/link/sp%3A%3ASpatialGridDataFrame()?package=gmGeostats&version=0.11.3" data-mini-rdoc="gmGeostats::sp::SpatialGridDataFrame()">sp::SpatialGridDataFrame()</a></code>, and
implement a method for <code><a href="/link/sp%3A%3AgetGridTopology()?package=gmGeostats&version=0.11.3" data-mini-rdoc="gmGeostats::sp::getGridTopology()">sp::getGridTopology()</a></code> and to coerce it to
<a href="/link/sp%3A%3ASpatialGridDataFrame?package=gmGeostats&version=0.11.3" data-mini-rdoc="gmGeostats::sp::SpatialGridDataFrame">sp::SpatialGridDataFrame</a>.</p>

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 

gmTrainingImage-class function

<p>abstract class, containing any specification of a multiple-point
training image. This must be analogous to <code><a href='https://rdrr.io/pkg/sp/man/SpatialGridDataFrame.html'>sp::SpatialGridDataFrame()</a></code>, and
implement a method for <code><a href='https://rdrr.io/pkg/sp/man/SpatialGrid.html'>sp::getGridTopology()</a></code> and to coerce it to
<a href='https://rdrr.io/pkg/sp/man/SpatialGridDataFrame-class.html'>sp::SpatialGridDataFrame</a>.</p>

MPS training image class — gmTrainingImage-class

MPS training image class

gmTrainingImage-class: MPS training image class

Description

Arguments