Usage
## S3 method for class '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), ...)
Arguments
transform
Transform function to apply to spherical coordinates
before rotation
axisdir
Direction of axis (North pole) of sphere in external space
proj.centre
Location of centre of projection as matrix with
column names phi (elevation) and lambda (longitude).
lambdalim
Limits of longitude (in degrees) to display
datapoints
If TRUE, display data points
datapoint.means
If TRUE, display Karcher mean of data points.
datapoint.contours
If TRUE, display contours around
the data points generated using Kernel Density Estimation.
grouped
If TRUE, dipslay grouped data.
grouped.contours
If TRUE, display contours around
the grouped data generated using Kernel Regression.
landmarks
If TRUE, dipslay landmarks.
ids
IDs of groups of data within a dataset, returned using
getIDs. ...
Graphical parameters to pass to plotting functions