Add a toroidal topography stat layer — stat_toroidal_topography • ggcircular

Estimates a circular-circular density and returns grid values for topographic displays. Use with aes(x = theta, y = phi).

Usage

stat_toroidal_topography(
  mapping = NULL,
  data = NULL,
  geom = "tile",
  position = "identity",
  n_theta = 181,
  n_phi = 181,
  kappa_theta = 20,
  kappa_phi = 20,
  conditional = FALSE,
  signed = TRUE,
  ...,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping, data, geom, position, show.legend, inherit.aes: Standard ggplot2 layer arguments.
n_theta: Number of theta grid points.
n_phi: Number of phi grid points.
kappa_theta: Kernel concentration for theta.
kappa_phi: Kernel concentration for phi.
conditional: If TRUE, estimate f(phi | theta).
signed: If TRUE, plot angles in the signed interval.
...: Additional arguments passed to the geom.

Value

A ggplot2 layer.

See also

Other toroidal dependence layers: geom_toroidal_flow(), stat_toroidal_ridge()

Examples

dat <- simulate_toroidal(n = 80, seed = 1)
ggplot2::ggplot(dat, ggplot2::aes(x = theta, y = phi)) +
  stat_toroidal_topography(n_theta = 24, n_phi = 24)