This geom creates closed b-spline curves and draws them as shapes. The closed b-spline is achieved by wrapping the control points rather than the knots. The *0 version uses the grid::xsplineGrob() function with open = FALSE and can thus not be manipulated as a shape geom in the same way as the base version (expand, contract, etc).

stat_bspline_closed(mapping = NULL, data = NULL, geom = "shape",
  position = "identity", na.rm = FALSE, n = 100, show.legend = NA,
  inherit.aes = TRUE, ...)

geom_bspline_closed(mapping = NULL, data = NULL, stat = "bspline",
  position = "identity", n = 100, na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, ...)

geom_bspline_closed0(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, ...)



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.


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)).


The geometric object to use display the data


Position adjustment, either as a string, or the result of a call to a position adjustment function.


If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.


The number of points generated for each spline


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.


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().


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.


The statistical transformation to use on the data for this layer, as a string.


geom_bspline_closed understand the following aesthetics (required aesthetics are in bold):

  • x

  • y

  • color

  • fill

  • size

  • linetype

  • alpha

Computed variables

x, y

The coordinates for the path describing the spline


The progression along the interpolation mapped between 0 and 1


# Create 6 random control points controls <- data.frame( x = runif(6), y = runif(6) ) ggplot(controls, aes(x, y)) + geom_polygon(fill = NA, colour = 'grey') + geom_point(colour = 'red') + geom_bspline_closed(alpha = 0.5)
# The 0 version approximates the correct shape ggplot(controls, aes(x, y)) + geom_polygon(fill = NA, colour = 'grey') + geom_point(colour = 'red') + geom_bspline_closed0(alpha = 0.5)
# But only the standard version supports geom_shape operations # Be aware of self-intersections though ggplot(controls, aes(x, y)) + geom_polygon(fill = NA, colour = 'grey') + geom_point(colour = 'red') + geom_bspline_closed(alpha = 0.5, expand = unit(2, 'cm'))