local_moran: Local Moran statistics
In lixun910/rgeoda: R Library for Spatial Data Analysis

Description Usage Arguments Value Examples

The function to apply local Moran statistics

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

`w`	An instance of Weight object
`data`	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
crm_prs <- guerry_df['Crm_prs'][,1] # get values of variable "crm_prs"
lisa <- local_moran(queen_w, crm_prs)
lms <- lisa_values(gda_lisa = lisa)
lms