getDensityFromDelta

Based on a specific taper scale (delta), retrieves the density of the covariance matrix.

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

getDensityFromDelta function

<dl><dt>coco.object</dt>
<dd><code>(S4)</code> a fitted <code>coco()</code> object.</dd>
<dt>delta</dt>
<dd><code>(numeric)</code> a delta taper scale (delta).</dd></dl>

Arguments

Author

Based on a specific taper scale (delta), retrieves the density of the covariance matrix. — getDensityFromDelta

<dl>

<dt>coco.object</dt>
<dd><code>(S4)</code> a fitted <code>coco()</code> object.</dd>


<dt>delta</dt>
<dd><code>(numeric)</code> a delta taper scale (delta).</dd>

</dl>

getDensityFromDelta: Based on a specific taper scale (delta), retrieves the density of the covariance matrix.

Description

Usage

Value

Arguments

Author