rgeoda (version 0.0.6)

local_bijoincount: Local Bivariate Join Count Statistics

Description

The function to apply local Bivariate Join Count statistics

Usage

local_bijoincount(
  w,
  data1,
  data2,
  permutations = 999,
  significance_cutoff = 0.05,
  cpu_threads = 6,
  seed = 123456789
)

Arguments

w

An instance of Weight object

data1

A numeric array of selected variable

data2

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
top_crm <- guerry_df['TopCrm'][,1]
inv_crm <-  1 - top_crm
lisa <- local_bijoincount(queen_w, top_crm, inv_crm)
clsts<- lisa_clusters(lisa)
clsts
# }