Label Map Regions — geom_district

Aggregates shapefile according to the group aesthetic and positions labels for each region defined by group. By default, labels will be sized in rough proportion to the available area.

Usage

geom_district_text(
  mapping = NULL,
  data = NULL,
  position = "identity",
  na.rm = FALSE,
  adjust = 1,
  check_overlap = FALSE,
  parse = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

geom_district_label(
  mapping = NULL,
  data = NULL,
  position = "identity",
  na.rm = FALSE,
  label.padding = ggplot2::unit(0.25, "lines"),
  label.r = ggplot2::unit(0.15, "lines"),
  label.size = 0.25,
  check_overlap = FALSE,
  parse = FALSE,
  adjust = 1,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

stat_district_coordinates(
  mapping = NULL,
  data = NULL,
  geom = "text",
  position = "identity",
  na.rm = FALSE,
  adjust = 1,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping: Set of aesthetic mappings created by aes()
data: The data to be displayed in this layer
position: Position adjustment
na.rm: if TRUE, will silently remove missing values from calculations
adjust: A multiplicative scaling factor for the default label sizes
check_overlap: If TRUE, text that overlaps previous text in the same layer will not be plotted.
parse: If TRUE, the labels will be parsed into expressions and displayed as described in ?plotmath.
show.legend: Should this layer be included in the legends?
inherit.aes: If FALSE, overrides the default aesthetics, rather than combining with them.
...: Passed onto the underlying geoms.
label.padding: Padding around label
label.r: Radius of rounded corners
label.size: Size of label border (mm)
geom: The geometric object to use display the data

Value

a ggproto object

Examples

library(ggplot2)
data(oregon)

ggplot(oregon, aes(group=county)) +
    geom_district() +
    geom_district_text() +
    scale_fill_randmcnally() +
    theme_map()


ggplot(oregon, aes(group=cd_2020)) +
  geom_district(lwd=0.9, color="#442222") +
  geom_district(aes(group=county), lwd=0.4, lty="dashed", fill=NA) +
  geom_district_text(aes(group=county, label=toupper(county)),
                     size=2.2, check_overlap=TRUE) +
  geom_district_text(adjust=2) +
  scale_fill_penn82() +
  theme_map()