ggplot2: stat_sf_coordinates – R documentation

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stat_sf_coordinates

Extract coordinates from 'sf' objects

Description

stat_sf_coordinates() extracts the coordinates from 'sf' objects and summarises them to one pair of coordinates (x and y) per geometry. This is convenient when you draw an sf object as geoms like text and labels (so geom_sf_text() and geom_sf_label() relies on this).

Usage

stat_sf_coordinates(
  mapping = aes(),
  data = NULL,
  geom = "point",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  fun.geometry = NULL,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `aes_()`. If specified and `inherit.aes = TRUE` (the default), it is combined with the default mapping at the top level of the plot. You must supply `mapping` if there is no plot mapping.
`data`	The data to be displayed in this layer. There are three options: If `NULL`, the default, the data is inherited from the plot data as specified in the call to `ggplot()`. A `data.frame`, or other object, will override the plot data. All objects will be fortified to produce a data frame. See `fortify()` for which variables will be created. A `function` will be called with a single argument, the plot data. The return value must be a `data.frame`, and will be used as the layer data. A `function` can be created from a `formula` (e.g. `~ head(.x, 10)`).
`geom`	The geometric object to use display the data
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`show.legend`	logical. Should this layer be included in the legends? `NA`, the default, includes if any aesthetics are mapped. `FALSE` never includes, and `TRUE` always includes. It can also be a named logical vector to finely select the aesthetics to display.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. `borders()`.
`fun.geometry`	A function that takes a `sfc` object and returns a `sfc_POINT` with the same length as the input. If `NULL`, `function(x) sf::st_point_on_surface(sf::st_zm(x))` will be used. Note that the function may warn about the incorrectness of the result if the data is not projected, but you can ignore this except when you really care about the exact locations.
`...`	Other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `colour = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.

Details

coordinates of an sf object can be retrieved by sf::st_coordinates(). But, we cannot simply use sf::st_coordinates() because, whereas text and labels require exactly one coordinate per geometry, it returns multiple ones for a polygon or a line. Thus, these two steps are needed:

Choose one point per geometry by some function like sf::st_centroid() or sf::st_point_on_surface().
Retrieve coordinates from the points by sf::st_coordinates().

For the first step, you can use an arbitrary function via fun.geometry. By default, function(x) sf::st_point_on_surface(sf::st_zm(x)) is used; sf::st_point_on_surface() seems more appropriate than sf::st_centroid() since lables and text usually are intended to be put within the polygon or the line. sf::st_zm() is needed to drop Z and M dimension beforehand, otherwise sf::st_point_on_surface() may fail when the geometries have M dimension.

Computed variables

x: X dimension of the simple feature
y: Y dimension of the simple feature

Examples

if (requireNamespace("sf", quietly = TRUE)) {
nc <- sf::st_read(system.file("shape/nc.shp", package="sf"))

ggplot(nc) +
  stat_sf_coordinates()

ggplot(nc) +
  geom_errorbarh(
    aes(geometry = geometry,
        xmin = after_stat(x) - 0.1,
        xmax = after_stat(x) + 0.1,
        y = after_stat(y),
        height = 0.04),
    stat = "sf_coordinates"
  )
}

ggplot2

Create Elegant Data Visualisations Using the Grammar of Graphics

v3.3.3

MIT + file LICENSE

Authors

Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Winston Chang [aut] (<https://orcid.org/0000-0002-1576-2126>), Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Kohske Takahashi [aut], Claus Wilke [aut] (<https://orcid.org/0000-0002-7470-9261>), Kara Woo [aut] (<https://orcid.org/0000-0002-5125-4188>), Hiroaki Yutani [aut] (<https://orcid.org/0000-0002-3385-7233>), Dewey Dunnington [aut] (<https://orcid.org/0000-0002-9415-4582>), RStudio [cph, fnd]

Initial release