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,
...
)
Set of aesthetic mappings created by ggplot2::aes()
or ggplot2::aes_()
. By default geometry is mapped to the geometry in
the node 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 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.
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.
geom_node_sf
understand the following aesthetics.
alpha
colour
shape
size
filter
Other geom_node_*:
geom_node_arc_bar()
,
geom_node_circle()
,
geom_node_point()
,
geom_node_range()
,
geom_node_text()
,
geom_node_tile()
,
geom_node_voronoi()
library(tidygraph)
if (require("sfnetworks", quietly = TRUE)) {
gr <- sfnetworks::as_sfnetwork(roxel)
ggraph(gr, 'sf') +
geom_node_sf(aes(color = centrality_betweenness()))
}