variog4: Computes Directional Variograms

Description

Computes directional variograms for 4 directions provided by the user.

Usage

variog4(geodata, coords = geodata$coords, data = geodata$data,
        uvec = "default", trend = "cte", lambda = 1,
        option = c("bin", "cloud", "smooth"),
        estimator.type = c("classical", "modulus"),
        nugget.tolerance = 0, max.dist = NULL, pairs.min = 2,
        bin.cloud = FALSE, direction = c(0, pi/4, pi/2, 3*pi/4),
        tolerance = pi/8, unit.angle = c("radians", "degrees"),
        messages.screen = TRUE, ...)

Arguments

geodata

a list containing element coords as described next. Typically an object of the class "geodata" - a geoR data-set. If not provided the arguments coords must be provided instead.

coords

an $n \times 2$ matrix containing coordinates of the $n$ data locations in each row. Defaults to geodata$coords, if provided.

data

a vector or matrix with data values. If a matrix is provided, each column is regarded as one variable or realization. Defaults to geodata$data, if provided.

uvec

a vector with values defining the variogram binning. Only used when option = "bin". The values of uvec defines the mid-points of the bins. If $uvec[1] > 0$ the first bin is: $0 < u

trend

specifies the mean part of the model. The options are: "cte" (constant mean), "1st" (a first degree polynomial on the coordinates), "2nd" (a second degree polynomial on the coordinates), or a form

lambda

values of the Box-Cox transformation parameter. Defaults to $1$ (no transformation). If another value is provided the variogram is computed after transforming the data. A case of particular interest is $\lambda = 0$ which corresponds

option

defines the output type: the options "bin" returns values of binned variogram, "cloud" returns the variogram cloud and "smooth" returns the kernel smoothed variogram. Defaults to "bin".

estimator.type

"classical" computes the classical method of moments estimator. "modulus" returns the variogram estimator suggested by Hawkins and Cressie (see Cressie, 1993, pg 75). Defaults to "classical".

nugget.tolerance

a numeric value. Points which are separated by a distance less than this value are considered co-located. Defaults to zero.

max.dist

a numerical value defining the maximum distance for the variogram. Pairs of locations separated for distance larger than this value are ignored for the variogram calculation. Defaults to the maximum distance among the pairs of data locatio

pairs.min

a integer number defining the minimum numbers of pairs for the bins. For option = "bin", bins with number of pairs smaller than this value are ignored. Defaults to NULL.

bin.cloud

logical. If TRUE and option = "bin" the cloud values for each class are included in the output. Defaults to FALSE.

direction

a vector with values of 4 angles, indicating the directions for which the variograms will be computed. Default corresponds to c(0, 45, 90, 135) (degrees).

tolerance

numerical value for the tolerance angle, when computing directional variograms. The value must be in the interval $[0, 90]$ degrees. Defaults to $\pi/8$.

unit.angle

defines the unit for the specification of angles in the two previous arguments. Options are "degrees" and "radians".

messages.screen

logical. Indicates whether status messages should be printed on the screen (or output device) while the function is running.

...

arguments to be passed to the function ksmooth, if option = "smooth".

Value

The output is an object of the class variog4, a list with five components. The first four elements are estimated variograms for the directions provided and the last is the omnidirectional variogram. Each individual component is an object of the class variogram, an output of the function variog.

References

Further information about geoR can be found at: http://www.maths.lancs.ac.uk/~ribeiro/geoR.

Examples

Run this code

if(is.R()) data(s100)
var4 <- variog4(s100, max.dist=1)
plot(var4)