Show nodes as POINTs in geographical space

Source: R/geom_node_sf.R

This geom is equivalent in functionality to ggplot2::geom_sf() for POINT geometries and allows for plotting of nodes in their geographical space in different shapes, colours and sizes.

geom_node_sf(
  mapping = NULL,
  data = get_sf_nodes(),
  position = "identity",
  show.legend = NA,
  ...
)

Arguments

mapping

Set of aesthetic mappings created by ggplot2::aes() or ggplot2::aes_(). By default geometry is mapped to the geometry in the node data.

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)).

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

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.

You can also set this to one of "polygon", "line", and "point" to override the default legend.

...

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.

Aesthetics

geom_node_sf understand the following aesthetics.

  • alpha

  • colour

  • shape

  • size

  • filter

Author

Lorena Abad

Examples

library(tidygraph)

if (require("sfnetworks", quietly = TRUE)) {
  gr <- sfnetworks::as_sfnetwork(roxel)
  ggraph(gr, 'sf') +
    geom_node_sf(aes(color = centrality_betweenness()))
}