local_multigeary: Local Multivariate Geary Statistics

In rgeoda: R Library for Spatial Data Analysis

Local Multivariate Geary Statistics

Description

The function to apply local Multivariate Geary statistics

Usage

local_multigeary(
  w,
  df,
  permutations = 999,
  permutation_method = "complete",
  significance_cutoff = 0.05,
  cpu_threads = 6,
  seed = 123456789
)

Arguments

w	An instance of Weight object
df	A data frame with selected variables only. E.g. guerry["Crm_prs"]
permutations	(optional) The number of permutations for the LISA computation
permutation_method	(optional) The permutation method used for the LISA computation. Options are ('complete', 'lookup'). Default is 'complete'.
significance_cutoff	(optional) A cutoff value for significance p-values to filter not-significant clusters
cpu_threads	(optional) The number of cpu threads used for parallel LISA computation
seed	(optional) The seed for random number generator

Value

An instance of LISA-class

Examples

library(sf)
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- st_read(guerry_path)
queen_w <- queen_weights(guerry)
data <- guerry[c('Crm_prs','Crm_prp','Litercy','Donatns','Infants',
'Suicids')]
lisa <- local_multigeary(queen_w, data)
lms <- lisa_clusters(lisa)
lms

rgeoda documentation built on April 3, 2025, 10:55 p.m.