Compare the Population Overlap Across Plans at the Precinct Level

redist.prec.pop.overlap(
  plan_old,
  plan_new,
  total_pop,
  weighting = "s",
  normalize = TRUE,
  index_only = FALSE,
  return_mat = FALSE
)

Arguments

plan_old: The reference plan to compare against
plan_new: The new plan to compare to the reference plan
total_pop: The total population by precinct This can also take a redist_map object and will use the population in that object. If nothing is provided, it weights all entries in plan equally.
weighting: Should weighting be done by sum of populations 's', mean of populations 'm', geometric mean of populations 'g', or none 'n'
normalize: Should entries be normalized by the total population
index_only: Default is FALSE. TRUE returns only one numeric index, the mean of the upper triangle of the matrix, under the weighting and normalization chosen.
return_mat: Defaults to FALSE, where it returns the summary by row. If TRUE returns matrix with length(plan_old) rows and columns. Ignored if index_only = TRUE.

Value

numeric vector with length(plan_old) entries

Examples

set.seed(5)
data(iowa)
iowa_map <- redist_map(iowa, total_pop = pop, pop_tol = 0.01, ndists = 4)
plans <- redist_smc(iowa_map, 2, silent = TRUE)
plans_mat <- get_plans_matrix(plans)
ov_vec <- redist.prec.pop.overlap(plans_mat[, 1], plans_mat[, 2], iowa_map)
redist.prec.pop.overlap(plans_mat[, 1], plans_mat[, 2], iowa_map,  weighting = "s",
    normalize = FALSE, index_only = TRUE)
#> [1] 14020.52