unimoran: Univariate Global Moran Statistic

In spdyn: Exploratory Space-Time Data Analysis

Univariate Global Moran Statistic

Description

This function computes the value of the Univariate Global Moran Statistic.

Usage

unimoran(x,listw,CENT=mean,DESV=sd)

Arguments

x	A numeric vector.
listw	A list of spatial weights as provided by spdep::nb2listw
CENT	Central tendency statistic used to compute the Moran Statistic. Defaults to mean
DESV	Dispersion statistic. Defaults to sd

Details

The unimoran function computes the value of the Univariate Global Moran Statistic. Morevoer, it generalizes the estimation of spatial autocorrelation, as this function allows to use alternative measures of central tendency and of dispersion. However, it should be noted that analytical results regarding the behavior of spatial autocorrelation are only available in the literature when the central tendency and the dispersion are measured as the mean and standard deviation, respectively.

Author(s)

Osmar Leandro Loaiza Quintero

References

Anselin, Luc (1995). Local Indicators of Spatial Association. Geographical Analysis

See Also

bilisa.perm, unimoran, bimoran.test

Examples

data(usinc)

require(spdep)

lw<-nb2listw(
		poly2nb(usinc,queen=TRUE),style='W'
	)
	
unimoran(usinc$X2009, listw=lw)
	

spdyn documentation built on Oct. 28, 2024, 3 p.m.