LeeL: Bivariate Moran's I using Lee's L measurement
In stevexniu/spots: Spatial Component Analysis
LeeL R Documentation
Bivariate Moran's I using Lee's L measurement
Description
Calculate bivariate Moran's I using Lee's L measurement.
Usage
LeeL(X, W)
Arguments
X
A matrix with observations as rows and features as columns.
W
A weight matrix across all observations, i.e inverse of a pairwise distance matrix.
Value
A spatial cross-correlation matrix.
References
Lee, S.-I. Developing a bivariate spatial association measure:
An integration of Pearson’s r and Moran's I. J. Geogr. Syst. 3, 369–385 (2001)
Examples
{
data.use <- quakes[1:100,]
W <- 1/as.matrix(dist(data.use[,1:2]))
diag(W) <- 0
L <- LeeL(data.use[,3:4], W)
}
stevexniu/spots documentation built on July 30, 2022, 9:21 a.m.
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| LeeL | R Documentation |
Bivariate Moran's I using Lee's L measurement
Description
Calculate bivariate Moran's I using Lee's L measurement.
Usage
LeeL(X, W)
Arguments
X |
A matrix with observations as rows and features as columns. |
W |
A weight matrix across all observations, i.e inverse of a pairwise distance matrix. |
Value
A spatial cross-correlation matrix.
References
Lee, S.-I. Developing a bivariate spatial association measure: An integration of Pearson’s r and Moran's I. J. Geogr. Syst. 3, 369–385 (2001)
Examples
{
data.use <- quakes[1:100,]
W <- 1/as.matrix(dist(data.use[,1:2]))
diag(W) <- 0
L <- LeeL(data.use[,3:4], W)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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