comp_schwartz: Calculate Schwartzberg Compactness

In redistmetrics: Redistricting Metrics

Calculate Schwartzberg Compactness

Description

Calculate Schwartzberg Compactness

Usage

comp_schwartz(
  plans,
  shp,
  use_Rcpp,
  perim_path,
  perim_df,
  epsg = 3857,
  ncores = 1
)

Arguments

plans	redist_plans object or plans_matrix where each row indicates a district assignment and each column is a plan
shp	redist_map object or tibble with sf geometry column
use_Rcpp	Logical. Use Rcpp?
perim_path	path to perimeter tibble saved by prep_perims()
perim_df	tibble of perimeters from prep_perims()
epsg	numeric EPSG code to planarize to. Default is 3857.
ncores	numeric. Number of cores to use. Default is 1.

Value

numeric vector

References

Schwartzberg, Joseph E. 1966. Reapportionment, Gerrymanders, and the Notion of Compactness. Minnesota Law Review. 1701.

Examples

data(nh)
data(nh_m)
# For a single plan:
comp_schwartz(plans = nh$r_2020, shp = nh)

# Or many plans:
comp_schwartz(plans = nh_m[, 3:5], shp = nh)

redistmetrics documentation built on April 11, 2022, 5:08 p.m.