LocalGi: Local Getis-Ord Gi or Gi* statistics for spatial hot spot...

In spots: Spatial Component Analysis

Local Getis-Ord Gi or Gi* statistics for spatial hot spot analysis

Description

Calculate local Getis-Ord Gi or Gi* statistics.

Usage

LocalGi(
  X,
  W,
  gstar = TRUE,
  alternative = c("two.sided", "less", "greater"),
  p.adjust.method = "BH"
)

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.
gstar	Whether to calculate the Gi* statistics, default is TRUE.
alternative	Alternative hypothesis used, default is two.sided.
p.adjust.method	Method used for multiple comparisons correction, default is BH. See p.adjust.

Value

A list containing the following:

• Gi, Gi or Gi* statistics.

• p.val, permutation based p-value.

• p.adj, adjusted p-values.

• gstar, permutation used if returned.

• alternative, alternative hypothesis used.

• p.adjust.method, method used for multiple comparisons correction.

References

Getis, A. & Ord, J. K. The analysis of spatial association by use of distance statistics. Geogr. Anal. 24, 189–206 (1992)

Examples

{
data.use <- quakes[1:100,]
W <- 1/as.matrix(dist(data.use[,1:2]))
diag(W) <- 0
res <- LocalGi(data.use[,3:4], W)
}

spots documentation built on May 3, 2022, 5:06 p.m.