comp_log_st: Calculate Log Spanning Tree Compactness
In redistmetrics: Redistricting Metrics

comp_log_st

R Documentation

Calculate Log Spanning Tree Compactness

Description

Calculate Log Spanning Tree Compactness

Usage

comp_log_st(plans, shp, counties = NULL, adj)

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.
`counties`	column name in shp containing counties
`adj`	Zero-indexed adjacency list. Not required if a `redist_map` is supplied for `shp`.

Value

A numeric vector. Can be shaped into a district-by-plan matrix.

References

Cory McCartan and Kosuke Imai. 2020. Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans.

Examples

data(nh)
data(nh_m)
# For a single plan:
comp_log_st(plans = nh$r_2020, shp = nh, counties = county, adj = nh$adj)

# Or many plans:
comp_log_st(plans = nh_m[, 3:5], shp = nh, counties = county, adj = nh$adj)

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