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Lattice-based
statistics,
often called nearest neighbor statistics, are area-based (e.g. county,
blockgroup) methods to evaluate autocorrelation, identify clusters and
to enhance traditional regression by including a spatial component.
performs the key lattice-based methods including calculating Moran’s
I and Geary’s C,
and conducting joint count analysis and spatial linear regression.
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