Plot projection of reconstructed dataset
# S3 method for reconstructedDataset
projection(r, transform = identity.transform,
axisdir = cbind(phi = 90, lambda = 0), projection = azimuthal.equalarea,
proj.centre = cbind(phi = 0, lambda = 0), lambdalim = c(-180, 180),
datapoints = TRUE, datapoint.means = TRUE, datapoint.contours = TRUE,
grouped = FALSE, grouped.contours = FALSE, landmarks = TRUE,
ids = getIDs(r), ...)
ReconstructedDataset
object
Transform function to apply to spherical coordinates before rotation
Direction of axis (North pole) of sphere in external space
Projection in which to display object,
e.g. azimuthal.equalarea
or sinusoidal
Location of centre of projection as matrix with
column names phi
(elevation) and lambda
(longitude).
Limits of longitude (in degrees) to display
If TRUE
, display data points
If TRUE
, display Karcher mean of data points.
If TRUE
, display contours around
the data points generated using Kernel Density Estimation.
If TRUE
, dipslay grouped data.
If TRUE
, display contours around
the grouped data generated using Kernel Regression.
If TRUE
, dipslay landmarks.
IDs of groups of data within a dataset, returned using
getIDs
.
Graphical parameters to pass to plotting functions