getSpatEffects

Evaluates the spatially-varying functions of the nonstationary spatial structure.

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

getSpatEffects function

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

Arguments

Author

Evaluates the spatially-varying functions from a coco object at locs — getSpatEffects

<dl>

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

</dl>

getSpatEffects: Evaluates the spatially-varying functions from a coco object at locs

Description

Usage

Value

Arguments

Author