comp_skew

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.

Reliable and flexible tools for scoring redistricting plans using
common measures and metrics. These functions provide key direct access to
tools useful for non-simulation analyses of redistricting plans, such as for
measuring compactness or partisan fairness. Tools are designed to work with
the 'redist' package seamlessly.

Christopher T. Kenny

redistmetrics

Redistricting Metrics

Cory McCartan

Ben Fifield

Kosuke Imai

comp_skew function

<dl><dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>
<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame with an <code>sf</code> geometry column.</dd>
<dt>epsg</dt>
<dd>Numeric EPSG code to use to project the shapefile, if needed. Default is 3857.</dd>
<dt>ncores</dt>
<dd>Integer number of cores to use. Default is 1.</dd></dl>

Arguments

Calculate Skew Compactness — comp_skew

<dl>

<dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>


<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame with an <code>sf</code> geometry column.</dd>


<dt>epsg</dt>
<dd>Numeric EPSG code to use to project the shapefile, if needed. Default is 3857.</dd>


<dt>ncores</dt>
<dd>Integer number of cores to use. Default is 1.</dd>

</dl>

comp_skew: Calculate Skew Compactness

Description

Usage

Value

Arguments

References

Examples