comp_skew: Calculate Skew Compactness

In redistmetrics: Redistricting Metrics

Calculate Skew Compactness

Description

Skew is defined as the ratio of the radii of the largest inscribed circle with the smallest bounding circle. Scores are bounded between 0 and 1, where 1 is most compact.

Usage

comp_skew(plans, shp, 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.
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

S.N. Schumm. 1963. Sinuosity of alluvial rivers on the Great Plains. Bulletin of the Geological Society of America, 74. 1089-1100.

Examples

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

# Or many plans:

# slower, beware!
comp_skew(plans = nh_m[, 3:5], shp = nh)

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