plotOptimInfo

Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions.
Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics.
An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.

Federico Blasi

cocons

Covariate-Based Covariance Functions for Nonstationary Spatial
Modeling

Reinhard Furrer

plotOptimInfo function

<dl><dt>coco.object</dt>
<dd>an optimized coco.object</dd>
<dt>...</dt>
<dd>arguments for par()</dd></dl>

Arguments

Author

Plot log info detailed — plotOptimInfo

<dl>

<dt>coco.object</dt>
<dd>an optimized coco.object</dd>


<dt>...</dt>
<dd>arguments for par()</dd>

</dl>

plotOptimInfo: Plot log info detailed

Description

Usage

Value

Arguments

Author

See Also