comp_log_st

Calculate Log Spanning Tree Compactness

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_log_st 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>counties</dt>
<dd>column name in shp containing counties</dd>
<dt>adj</dt>
<dd>Zero-indexed adjacency list. Not required if a <code>redist_map</code> is supplied for <code>shp</code>.</dd></dl>

Arguments

Calculate Log Spanning Tree Compactness — comp_log_st

<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>counties</dt>
<dd>column name in shp containing counties</dd>


<dt>adj</dt>
<dd>Zero-indexed adjacency list. Not required if a <code>redist_map</code> is supplied for <code>shp</code>.</dd>

</dl>

comp_log_st: Calculate Log Spanning Tree Compactness

Description

Usage

Value

Arguments

References

Examples