local_bijoincount: Local Bivariate Join Count statistics
In lixun910/rgeoda: R Library for Spatial Data Analysis

Description Usage Arguments Value Examples

The function to apply local Bivariate Join Count statistics

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

`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

lisa_obj An instance of LISA (LocalSpatialAutocorrelation) object

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