Visualise a neighbourhood structure on a map

Usage

st_quickmap_nb(
  nbsf,
  linkcol = "dodgerblue",
  bordercol = "gray7",
  pointcol = "darkred",
  fillcol = "gray95",
  linksize = 0.2,
  bordersize = 0.1,
  pointsize = 0.8,
  title = NULL,
  subtitle = NULL,
  nodes = "point",
  numericsize = 5,
  numericcol = "black",
  concavehull = FALSE,
  hullratio = 0.8,
  hullcol = "darkgreen",
  hullsize = 0.5
)

Arguments

nbsf: an `sf` dataframe with a neighbourhood column called "nb", such as the output of `st_bridges()`
linkcol: colour of lines connecting neighbours.
bordercol: colour of boundary lines between areas.
pointcol: colour of centroid points if nodes are `"point"`.
fillcol: fill of areas.
linksize: linewidth of lines connecting neighbours.
bordersize: linewidth of borders between areas.
pointsize: size of centroid points if nodes are `"point"`.
title: plot title.
subtitle: plot subtitle.
nodes: default `"point"`. Can also be `"numeric"`.
numericsize: font size if nodes are `"numeric"`.
numericcol: font colour if nodes are `"numeric"`.
concavehull: default `FALSE`. Whether or not to show concave hulls.
hullratio: value between 0 and 1. 1 returns the convex hulls, 0 maximally concave hulls.
hullcol: colour of concave hull lines.
hullsize: line width of concave hull lines.

Value

A `ggplot` showing areas and neighbourhood structure.

Examples

st_bridges(uk_election,"constituency_name") |>
st_quickmap_nb()