fit.intvariogram

Function to create a variogram object for interval-valued data.

An interval-valued extension of ordinary and simple kriging.
Optimization of the function is based on a generalized interval distance.
This creates a non-differentiable cost function that requires a
differentiable approximation to the absolute value function. This
differentiable approximation is optimized using a Newton-Raphson algorithm
with a penalty function to impose the constraints. Analyses in the package
are driven by the 'intsp' and 'intgrd'
classes,
which are interval-valued extensions of
'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively.
The package includes several wrappers to functions in the
'gstat' and 'sp' packages.

Brennan Bean

intkrige

A Numerical Implementation of Interval-Valued Kriging

fit.intvariogram function

<dl><dt>x</dt>
<dd>An object of class <code>intvariogram</code>.</dd>
<dt>models</dt>
<dd>an object of class <code>variogramModelList</code>. The user must
specify at least two variogram models to fit (for center and radius).
If less than three models are specified then the method does not fit a
variogram for the center/radius interaction.</dd>
<dt>...</dt>
<dd>Additional arguments for <code>fit.variogram</code>.</dd></dl>

Arguments

Function to create a variogram object for interval-valued data. — fit.intvariogram

<dl>

<dt>x</dt>
<dd>An object of class <code>intvariogram</code>.</dd>


<dt>models</dt>
<dd>an object of class <code>variogramModelList</code>. The user must
specify at least two variogram models to fit (for center and radius).
If less than three models are specified then the method does not fit a
variogram for the center/radius interaction.</dd>


<dt>...</dt>
<dd>Additional arguments for <code>fit.variogram</code>.</dd>

</dl>

fit.intvariogram: Function to create a variogram object for interval-valued data.

Description

Usage

Value

Arguments