Use 'cartographer' to attach a spatial column to the data based
on place names in another column. The spatial data is then reduced to
coordinates in the same way as stat_sf_coordinates().
Usage
stat_automap_coords(
  mapping = NULL,
  data = NULL,
  geom = "sf_inset",
  position = "identity",
  ...,
  feature_type = NA,
  na.rm = TRUE,
  inset = NA,
  fun.geometry = NULL,
  show.legend = NA,
  inherit.aes = TRUE
)Arguments
- mapping, data, geom, position, na.rm, show.legend, inherit.aes, fun.geometry, ...
 - feature_type
 Type of map feature. See
feature_types()for a list of registered types. IfNA, the type is guessed based on the values infeature_names.- inset
 Inset configuration; see
configure_inset(). IfNA(the default), this is inherited from the coord (seecoord_sf_inset()).
Computed variables
- geometry
 sfgeometry column representing the points- x
 X dimension of the simple feature
- y
 Y dimension of the simple feature
- x_inset
 X dimension of the simple feature after inset transformation
- y_inset
 Y dimension of the simple feature after inset transformation
- inside_inset
 logical indicating points inside the inset viewport
- inset_scale
 1 for points outside the inset, otherwise the configured inset scale parameter
Examples
library(ggplot2)
events <- data.frame(
  county = c("Mecklenburg", "Carteret", "Moore", "Caldwell"),
  proportion_A = c(0.1, 0.8, 0.0, 0.6)
)
ggplot(events, aes(location = county)) +
  geom_sf(aes(fill = proportion_A), stat = "automap") +
  geom_label(aes(label = county), stat = "automap_coords") +
  coord_automap(feature_type = "sf.nc")