Information Consistency-Based Measures for Spatial Stratified Heterogeneity — sshicm • sshicm

Information Consistency-Based Measures for Spatial Stratified Heterogeneity

Usage

sshicm(
  formula,
  data,
  type = c("IC", "IN"),
  seed = 42,
  permutation_number = 999,
  bin_method = "Sturges"
)

Arguments

formula: A formula.
data: A data.frame, tibble or sf object of observation data.
type: (optional) Measure type, default is IC.
seed: (optional) Random number seed, default is 42.
permutation_number: (optional) Number of Random Permutations, default is 999.
bin_method: (optional) Histogram binning method for probability density estimation, default is Sturges.

Value

A tibble.

Examples

if (FALSE) { # \dontrun{
# This code may take a bit longer to execute:
baltim = sf::read_sf(system.file("extdata/baltim.gpkg",package = "sshicm"))
sshicm(PRICE ~ .,baltim,type = "IC")
cinc = sf::read_sf(system.file("extdata/cinc.gpkg",package = "sshicm"))
sshicm(THEFT_D ~ .,cinc,type = "IN")
} # }