seg_dissim: Compute Dissimilarity Index
In redistmetrics: Redistricting Metrics

seg_dissim

R Documentation

Compute Dissimilarity Index

Description

Compute Dissimilarity Index

Usage

seg_dissim(plans, shp, group_pop, total_pop)

Arguments

`plans`	A `redist_plans` object or plans_matrix where each row indicates a district assignment and each column is a plan.
`shp`	A `redist_map` object, tibble, or data frame containing other columns.
`group_pop`	Unqouted name of column in `shp` with group population.
`total_pop`	Unqouted name of column in `shp` with total population.

Value

A numeric vector. Can be shaped into a district-by-plan matrix.

References

Douglas Massey and Nancy Denton. 1987. The Dimensions of Social Segregation. Social Forces.

Examples

data(nh)
data(nh_m)
# For a single plan:
seg_dissim(plans = nh$r_2020, shp = nh, group_pop = vap_hisp, total_pop = vap)

# Or many plans:
seg_dissim(plans = nh_m[, 3:5], shp = nh, group_pop = vap_hisp, total_pop = vap)

redistmetrics documentation built on May 29, 2024, 8:02 a.m.