Calculate Skew Compactness

Source: R/compactness.R

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.

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)
#> [1] 0.3640221 0.2481286

# Or many plans:
# \donttest{
# slower, beware!
comp_skew(plans = nh_m[, 3:5], shp = nh)
#> [1] 0.3131909 0.5480849 0.5209335 0.2940180 0.4475863 0.2739941
# }