The function to apply bivariate local Moran statistics

local_bimoran(
  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 two selected variable. E.g. guerry[c('Crm_prs','Litercy')]

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)
#> Reading layer `Guerry' from data source 
#>   `/Users/runner/work/_temp/Library/rgeoda/extdata/Guerry.shp' 
#>   using driver `ESRI Shapefile'
#> Simple feature collection with 85 features and 29 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 47680 ymin: 1703258 xmax: 1031401 ymax: 2677441
#> Projected CRS: NTF (Paris) / Lambert zone II
queen_w <- queen_weights(guerry)
lisa <- local_bimoran(queen_w, guerry[c('Crm_prs','Litercy')])
lms <- lisa_values(lisa)
lms
#>  [1]  0.392663448  0.756136106 -0.878510576 -0.199244815  0.002743424
#>  [6]  0.576712627  2.817728780  0.773723986 -0.056577742  0.343779070
#> [11]  0.815903467  0.299021035 -0.134732249  0.249750794 -0.469461086
#> [16]  0.064196998 -0.239924063  0.657549123  1.214759133 -1.436363003
#> [21] -3.302026863 -0.144006800 -1.773094173 -0.126845502 -0.467870578
#> [26]  0.029766618 -1.880162375  0.267608761  0.080923262  0.034283662
#> [31] -0.329523889  0.443178656 -0.273284234 -1.741226823  0.096138276
#> [36] -0.021797060  0.642390841  0.002522658 -0.090383051 -0.743775399
#> [41]  0.373595983  0.084599090  0.007510629  1.601252733 -0.243652571
#> [46]  0.880011648 -0.899730263 -0.339928599 -0.811526079  1.167328497
#> [51] -0.390766959  1.298159864  0.973775923 -0.504644610 -1.586580704
#> [56] -0.186951322  0.471913418  0.690564555  0.155109018  0.132228208
#> [61]  0.374974938 -0.013374715  0.028852768  1.366493286 -1.524816551
#> [66] -2.266518385  0.067834623  0.539284687  0.028501681 -0.728115359
#> [71] -0.749706749 -0.132827757  0.285757157 -0.893442637  0.109672584
#> [76]  0.991750143  0.324093451  0.405301333 -0.063852236  0.157603591
#> [81] -0.050301141  0.504772397  0.503896266 -0.252386250 -0.120728027