local_moran_eb: Local Moran with Empirical Bayes(EB) Rate

In rgeoda: R Library for Spatial Data Analysis

Local Moran with Empirical Bayes(EB) Rate

Description

The function to apply local Moran with EB Rate statistics. The EB rate is first computed from "event" and "base" variables, and then used in local moran statistics.

Usage

local_moran_eb(
  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: one is "event", anothor is "base" variable. E.g. guerry[c("hr60", "po60")]
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

## Not run: 
library(sf)
nat <- st_read("natregimes.shp")
nat_w <- queen_weights(nat)
lisa <- local_moran_eb(queen_w, guerry[c("hr60", "po60")])
lms <- lisa_values(lisa)
lms

## End(Not run)

rgeoda documentation built on April 3, 2025, 10:55 p.m.