comp_schwartz | R Documentation |
Calculate Schwartzberg Compactness
comp_schwartz(
plans,
shp,
use_Rcpp,
perim_path,
perim_df,
epsg = 3857,
ncores = 1
)
plans |
A |
shp |
A |
use_Rcpp |
Logical. Use Rcpp? |
perim_path |
path to perimeter tibble saved by |
perim_df |
tibble of perimeters from |
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. |
A numeric vector. Can be shaped into a district-by-plan matrix.
Schwartzberg, Joseph E. 1966. Reapportionment, Gerrymanders, and the Notion of Compactness. Minnesota Law Review. 1701.
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)
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