gen_matern_gaussian_rf

Generate Gaussian random fields with Matern covariance function

Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.

Sixing Hao

BSSoverSpace

Blind Source Separation for Multivariate Spatial Data using
Eigen Analysis

gen_matern_gaussian_rf function

<dl><dt>coords</dt>
<dd>coordinate of target randon field to be generated</dd>
<dt>dim</dt>
<dd>dimension of target randon field to be generated</dd>
<dt>nu</dt>
<dd>parameter of matern covariance function</dd>
<dt>kappa</dt>
<dd>parameter of matern covariance function</dd></dl>

Arguments

Generating Gaussian random fields with Matern covariance function — gen_matern_gaussian_rf

<dl>

<dt>coords</dt>
<dd>coordinate of target randon field to be generated</dd>


<dt>dim</dt>
<dd>dimension of target randon field to be generated</dd>


<dt>nu</dt>
<dd>parameter of matern covariance function</dd>


<dt>kappa</dt>
<dd>parameter of matern covariance function</dd>

</dl>

gen_matern_gaussian_rf: Generating Gaussian random fields with Matern covariance function

Description

Usage

Value

Arguments