rgeoda (version 0.0.6)

local_moran: Local Moran Statistics

Description

The function to apply local Moran statistics

Usage

local_moran(
  w,
  data,
  permutations = 999,
  significance_cutoff = 0.05,
  cpu_threads = 6,
  seed = 123456789
)

Arguments

w

An instance of Weight object

data

A numeric array of selected variable

permutations

The number of permutations for the LISA computation

significance_cutoff

A cutoff value for significance p-values to filter not-significant clusters

cpu_threads

The number of cpu threads used for parallel LISA computation

seed

The seed for random number generator

Value

An instance of LISA-class

Examples

# NOT RUN {
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- geoda_open(guerry_path)
queen_w <- queen_weights(guerry)
guerry_df <- as.data.frame(guerry) # use as data.frame
crm_prs <- guerry_df['Crm_prs'][,1] # get values of variable "crm_prs"
lisa <- local_moran(queen_w, crm_prs)
lms <- lisa_values(gda_lisa = lisa)
lms
# }