local_gstar {rgeoda} | R Documentation |
Local Getis-Ord's G* Statistics
Description
The function to apply Getis-Ord's local G* statistics
Usage
local_gstar(
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 variable 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)
lisa <- local_gstar(queen_w, guerry["Crm_prs"])
lms <- lisa_values(lisa)
lms
[Package rgeoda version 0.0.10-4 Index]