plot.fitgeo

Plots the trend estimates and the fitted variogram model.

Multidimensional nonparametric spatial (spatio-temporal) geostatistics.
S3 classes and methods for multidimensional: linear binning,
local polynomial kernel regression (spatial trend estimation), density and variogram estimation.
Nonparametric methods for simultaneous inference on both spatial trend
and variogram functions (for spatial processes).
Nonparametric residual kriging (spatial prediction).
For details on these methods see, for example, Fernandez-Casal and Francisco-Fernandez (2014)
<doi:10.1007/s00477-013-0817-8> or Castillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.

Ruben FernandezCasal

npsp

Nonparametric Spatial Statistics

Ruben Fernandez-Casal

plot.fitgeo function

<dl><dt>x</dt>
<dd>a nonparametric geostatistical model object. 
Typically an output of <code>np.fitgeo</code>.</dd>
<dt>y</dt>
<dd>ignored argument.</dd>
<dt>main.trend</dt>
<dd>title for the trend plot.</dd>
<dt>main.svar</dt>
<dd>title for the semivariogram plot.</dd>
<dt>...</dt>
<dd>additional graphical parameters 
(to be passed to <code>simage</code> for trend plotting).</dd></dl>

Arguments

Plot a nonparametric geostatistical model — plot.fitgeo

<dl>

<dt>x</dt>
<dd>a nonparametric geostatistical model object. 
Typically an output of <code>np.fitgeo</code>.</dd>


<dt>y</dt>
<dd>ignored argument.</dd>


<dt>main.trend</dt>
<dd>title for the trend plot.</dd>


<dt>main.svar</dt>
<dd>title for the semivariogram plot.</dd>


<dt>...</dt>
<dd>additional graphical parameters 
(to be passed to <code>simage</code> for trend plotting).</dd>

</dl>

plot.fitgeo: Plot a nonparametric geostatistical model

Description

Usage

Value

Arguments

See Also

Examples