bimoran: Bivariate Global Moran Statistic

In spdyn: Exploratory Space-Time Data Analysis

Bivariate Global Moran Statistic

Description

This function computes the value of the Bivariate Global Moran Statistic

Usage

bimoran(x,y=NULL,listw,perm=999,CENT=mean,DESV=sd)

Arguments

x	Either a numeric vector or a numeric matrix with two columns. If x has more than two columns, only the first two columns will be used, and the second column will be spatially lagged.
y	A numeric vector. This is the variable to be spatially lagged. If x is a numeric matrix, there is no need to supply this argument.
listw	A list of spatial weights as provided by spdep::nb2listw
perm	Number of permutations.
CENT	Central tendency statistic used to compute the Moran Statistic. Defaults to mean
DESV	Dispersion statistic. Defaults to sd

Details

The bimoran function computes the value of the Bivariate Global Moran Statistic.

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'
	)

bimoran(x=usinc$X2007, y=usinc$X2009, listw=lw)

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