Compute Dissimilarity Index

Compute Dissimilarity Index

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)
#> [1] 0.01085658 0.01085658

# Or many plans:
seg_dissim(plans = nh_m[, 3:5], shp = nh, group_pop = vap_hisp, total_pop = vap)
#> [1] 0.2278242 0.2278242 0.1902673 0.1902673 0.1330291 0.1330291