The function to apply local Moran statistics

local_moran(
  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 only selected variable. 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)
#> 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_moran(queen_w, guerry["Crm_prs"])
lms <- lisa_values(lisa)
lms
#>  [1]  0.516120231  0.818275138  0.794086560  0.733161543  0.228467334
#>  [6]  0.829040272  0.615280448  1.627415446 -0.019525625  0.687081885
#> [11]  1.707896579  0.821748275 -0.213568315  0.291316827 -0.184833414
#> [16] -0.047198613  0.249972417  0.054411195  0.862095943  0.835368441
#> [21]  0.538432168 -0.050446242 -0.681022658  0.678851849 -0.105369231
#> [26]  0.038567922  1.116236578  1.168138859  0.162030880  0.069037225
#> [31]  0.021522359  1.000255304  0.276308094  0.423159405 -0.101271972
#> [36]  0.015647332  0.554846307 -0.027584417  0.111200075 -0.082994402
#> [41]  0.281817532 -0.048962443 -0.015839144  0.830286100 -0.160743989
#> [46]  1.597607483  0.396712769  0.862342357 -0.466396879  0.262343383
#> [51]  1.424738721 -0.379247703  0.388066026  0.316231271  0.068795845
#> [56]  0.405538158  0.977019076  0.202610060  0.714533504  0.601447598
#> [61] -0.177594467  0.229608404  0.284505927  2.247991283  0.532787318
#> [66]  1.039424040 -0.129846379  0.136565215  1.033851456  1.238521154
#> [71]  0.296054062 -0.167632280 -0.041663121  0.036396148 -0.055081083
#> [76]  1.166507105  0.773315084  0.523682291  0.851277285  0.884651013
#> [81]  0.025497212 -0.326497225 -0.306819894  0.001277301 -0.125219240