lisa.perm: Permutation test
In spdyn: Exploratory Space-Time Data Analysis

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/lisa.perm.R

Computes a permutation test to assess the statistical significance of Local Indicators of Spatial Association –LISA.

1	lisa.perm(x,listw,perm=999,FUN=mean,...)

`x`	A numeric vector
`listw`	A `listw` object as produced by `nb2listw` or `mat2listw`. A list of spatial weights
`perm`	Number of permutations
`FUN`	By defautl `FUN=mean`. In general, a function to compute the central tendency of the data. It should return a scalar. See `notes`
`...`	Further arguments passed to `FUN`

This function implements a conditional permutation test to assess the statistical significance of the LISA. This is a distribution free test that overcomes the limitations of the standard assumption of normality.

Returns a numeric matrix

`Ii`	Values of the Local Moran Statistics
`p-val`	P-values
`Zi`	Z scores or standardized scores

There is no theoretical nor simulation work assessing the behavior of the Local Moran Staistic when the measure of central tendency is different from the mean.

Osmar Leandro Loaiza Quintero

Anselin, Luc (1992) Local Indicators of Spatial Association.

bilisa.perm, plot.lisaPerm

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x) 
{
  }