MI.sf

Computes the Moran coefficient of the spatial filter.

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.sf function

<dl><dt>gamma</dt>
<dd>vector of regression coefficients associated with
the eigenvectors</dd>
<dt>evMI</dt>
<dd>Moran coefficient of eigenvectors</dd></dl>

Arguments

Author

Moran Coefficient of the Spatial Filter — MI.sf

<dl>

<dt>gamma</dt>
<dd>vector of regression coefficients associated with
the eigenvectors</dd>


<dt>evMI</dt>
<dd>Moran coefficient of eigenvectors</dd>

</dl>

MI.sf: Moran Coefficient of the Spatial Filter

Description

Usage

Value

Arguments

Author

References

See Also