gstat (version 2.1-2)

fit.variogram.reml: REML Fit Direct Variogram Partial Sills to Data

Description

Fit Variogram Sills to Data, using REML (only for direct variograms; not for cross variograms)

Usage

fit.variogram.reml(formula, locations, data, model, debug.level = 1, set, degree = 0)

Value

an object of class "variogramModel"; see fit.variogram

Arguments

formula

formula defining the response vector and (possible) regressors; in case of absence of regressors, use e.g. z~1

locations

spatial data locations; a formula with the coordinate variables in the right hand (dependent variable) side.

data

data frame where the names in formula and locations are to be found

model

variogram model to be fitted, output of vgm

debug.level

debug level; set to 65 to see the iteration trace and log likelihood

set

additional options that can be set; use set=list(iter=100) to set the max. number of iterations to 100.

degree

order of trend surface in the location, between 0 and 3

Author

Edzer Pebesma

References

Christensen, R. Linear models for multivariate, Time Series, and Spatial Data, Springer, NY, 1991.

Kitanidis, P., Minimum-Variance Quadratic Estimation of Covariances of Regionalized Variables, Mathematical Geology 17 (2), 195--208, 1985

See Also

fit.variogram,

Examples

library(sp)
data(meuse)
fit.variogram.reml(log(zinc)~1, ~x+y, meuse, model = vgm(1, "Sph", 900,1))