measure_segregation: Calculate segregation metrics

In mvpsaraiva/segregR: Spatial segregation metrics in R

Description

Calculate segregation metrics

Usage

measure_segregation(
  data,
  id_field = "id",
  distance_method = "geodist",
  bandwidths = 0
)

Arguments

data	a spatial sf object of the study area divided into areal units (such as census tracts), containing the columns 'id', 'geometry', and one column per population group indicating that group's population in the local areal unit.
id_field	character. The name of the identificator column in the input data. Defaults to 'id'.
bandwidth	numeric. A bandwidth, in meters, used to set the scale of analysis for spatial segregation measurement. When set to 0, aspatial metrics will be calculated.

Value

a segreg object, a list containing the input spatial data and the results of the segregation metrics.

Examples

library(sf)
library(segregr)

# load sample data from package segregr
marilia_sf <- st_read(system.file("extdata/marilia_2010.gpkg", package = "segregr"))

# calculate segregation metrics
segregation <- measure_segregation(marilia_sf)

# global dissimilarity index
segregation$D

# global entropy
segregation$E

# global information theory index H
segregation$H

mvpsaraiva/segregR documentation built on July 15, 2021, 8:58 p.m.