local_multijoincount: Local Multivariate Join Count statistics

In lixun910/rgeoda: R Library for Spatial Data Analysis

Description

The function to apply local Multivariate Join Count statistics

Usage

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

Arguments

w	An instance of Weight object
data	A list of numeric values of selected variables
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

lisa_obj An instance of LISA (LocalSpatialAutocorrelation) object

Examples

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
bin_data <- guerry_df[c('TopWealth','TopWealth', 'TopLit')]
lisa <- local_multijoincount(queen_w, bin_data)
clsts <- lisa_clusters(lisa)
clsts

lixun910/rgeoda documentation built on March 19, 2021, 3:49 p.m.