vmf.kerncontour: Contour plot of spherical data using a von Mises-Fisher...

In Directional: A Collection of Functions for Directional Data Analysis

Contour plot of spherical data using a von Mises-Fisher kernel density estimate

Description

Contour plot of spherical data using a von Mises-Fisher kernel density estimate.

Usage

vmf.kerncontour(u, thumb = "none", den.ret = FALSE, full = FALSE, ngrid = 100)

Arguments

u	A two column matrix. The first coolumn is the latitude and the second is the longitude.
thumb	This is either 'none' (defualt), or 'rot' for the rule of thumb suggested by Garcia-Portugues (2013). If it is "none" it is estimated via cross validation, with the fast function vmfkde.tune.
den.ret	If FALSE (default), plots the contours of the density along with the individual points. If TRUE, will instead return a list with the Longitudes, Latitudes and Densities. Look at the 'value' section for details.
full	If FALSE (default), uses the range of positions from 'u' to calculate and optionally plot densities. If TRUE, calculates densities covering the entire sphere.
ngrid	Sets the resolution of the density calculation.

Details

It calculates the contour plot using a von Mises-Fisher kernel for spherical data only.

Value

The contour lines of the data. If "den.ret" was set to TRUE a list including:

lat	The latitude values.
long	The longitude values.
h	The optimal bandwidth.
den	The kernel density estimate contour points.

Author(s)

Michail Tsagris, Micah J. Waldstein and Christos Adam.

R implementation and documentation: Michail Tsagris [e-mail], Micah J. Waldstein [e-mail] and Christos Adam [e-mail].

References

Garcia Portugues, E. (2013). Exact risk improvement of bandwidth selectors for kernel density estimation with directional data. Electronic Journal of Statistics, 7, 1655–1685.

See Also

vmf.kde, vmfkde.tune, vmf.contour

Examples

x <- rvmf(100, rnorm(3), 15)
x <- euclid.inv(x)

vmf.kerncontour(x, "rot")

Directional documentation built on Oct. 30, 2024, 9:15 a.m.