comp_skew: Calculate Skew Compactness

View source: R/compactness.R

comp_skewR Documentation

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

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

epsg

numeric EPSG code to planarize to. Default is 3857.

ncores

numeric. Number of cores to use. Default is 1.

Value

numeric vector

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 April 11, 2022, 5:08 p.m.