intvCheck

Function to visualize the three variograms from an interval valued
spatial data frame.

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

intvCheck function

<dl><dt>x</dt>
<dd>An object of class <code>intvariogram</code>.</dd>
<dt>models</dt>
<dd>A list of fitted variogram models, typically an output of
<code>fit.intvariogram</code>.</dd>
<dt>...</dt>
<dd>Additional arguments to
<code>plot.gstatVariogram</code>.</dd></dl>

Arguments

Function to visualize the three variograms from an interval valued
spatial data frame. — intvCheck

<dl>

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


<dt>models</dt>
<dd>A list of fitted variogram models, typically an output of
<code>fit.intvariogram</code>.</dd>


<dt>...</dt>
<dd>Additional arguments to
<code>plot.gstatVariogram</code>.</dd>

</dl>

intvCheck: Function to visualize the three variograms from an interval valued spatial data frame.

Description

Usage

Arguments