comp_polsby: Calculate Polsby Popper Compactness

In redistmetrics: Redistricting Metrics

Calculate Polsby Popper Compactness

Description

Calculate Polsby Popper Compactness

Usage

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

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 with an sf geometry column.
use_Rcpp	If TRUE (the default for more than 8 plans), precompute boundaries shared by each pair of units and use them to quickly compute the compactness score.
perim_path	Path to perimeter tibble saved by prep_perims()
perim_df	Tibble of perimeters from prep_perims()
epsg	Numeric EPSG code to use to project the shapefile, if needed. Default is 3857.
ncores	Integer number of cores to use. Default is 1.

Value

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

References

Cox, E. 1927. A Method of Assigning Numerical and Percentage Values to the Degree of Roundness of Sand Grains. Journal of Paleontology, 1(3), 179-183.

Polsby, Daniel D., and Robert D. Popper. 1991. “The Third Criterion: Compactness as a procedural safeguard against partisan gerrymandering.” Yale Law & Policy Review 9 (2): 301–353.

Examples

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

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

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