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gstat (version 0.9-22)

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)

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 likelyhood
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

Value

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