MI.ev

Calculates the Moran coefficient for each eigenvector.

Tools to decompose (transformed) spatial connectivity matrices and perform supervised or unsupervised semiparametric spatial filtering in a regression framework. The package supports unsupervised spatial filtering in standard linear as well as some generalized linear regression models.

Sebastian Juhl

spfilteR

Semiparametric Spatial Filtering with Eigenvectors in
(Generalized) Linear Models

MI.ev function

<dl><dt>W</dt>
<dd>spatial connectivity matrix</dd>
<dt>evals</dt>
<dd>vector of eigenvalues</dd></dl>

Arguments

Author

Moran Coefficients of Eigenvectors — MI.ev

<dl>

<dt>W</dt>
<dd>spatial connectivity matrix</dd>


<dt>evals</dt>
<dd>vector of eigenvalues</dd>

</dl>

MI.ev: Moran Coefficients of Eigenvectors

Description

Usage

Value

Arguments

Author

References

See Also