Plots the weighted adjacency graph by how often precincts coocur. If an argument to counties is provided, it subsets the edges to plot to those that cross over the county boundary.
redist.plot.wted.adj(
shp,
plans,
counties = NULL,
ref = TRUE,
adj = NULL,
plot_shp = TRUE
)
A SpatialPolygonsDataFrame, sf object, or redist_map. Required.
A redist_plans
object or matrix of redistricting plans, where each
column indicates a plan and each
unquoted name of a column in shp
or a vector of county assignments. Subsets to
edges which cross this boundary if supplied.
Plot reference map? Defaults to TRUE which gets the existing plan from
A zero-indexed adjacency list. Extracted from shp
if shp
is a redist_map
.
Otherwise created with redist.adjacency if not supplied. Default is NULL.
Should the shapes be plotted? Default is TRUE.
ggplot
data(iowa)
shp <- redist_map(iowa, existing_plan = cd_2010, pop_tol = 0.01)
plans <- redist_smc(shp, 100)
#> SEQUENTIAL MONTE CARLO
#> Sampling 100 99-unit maps with 4 districts and population between 753973 and 769205.
#> Split [0/3] ■ | ETA?
#> Split [2/3] ■■■■■■■■■■■■■■■■■■■■■ | ETA 0s
#> Split [3/3] ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ | ETA 0s
#>
redist.plot.wted.adj(shp, plans = plans, counties = region)