The gstat Package - NexTag Supports Open Source Initiatives

fit.lmc 3ReferencesN.A.C. Cressie, 1993, Statistics for Spatial Data, Wiley.Gomez, M. and Hazen, K. (1970). Evaluating sulfur and ash distribution in coal seems by statisticalresponse surface regression analysis. U.S. Bureau of Mines Report RI 7377.see also fields manual: http://www.image.ucar.edu/GSP/Software/Fields/fields.manual.coalashEX.Krig.shtmlExamplesdata(coalash)summary(coalash)fit.lmcFit a Linear Model of Coregionalization to a Multivariable SampleVariogramDescriptionFit a Linear Model of Coregionalization to a Multivariable Sample Variogram; in case of a singlevariogram model (i.e., no nugget) this is equivalent to Intrinsic CorrelationUsagefit.lmc(v, g, model, fit.ranges = FALSE, fit.lmc = !fit.ranges,correct.diagonal = 1.0, ...)Argumentsvgmodelfit.rangesmultivariable sample variogram, output of variogramgstat object, output of gstatvariogram model, output of vgm; if supplied this value is used as initial valuefor each fitlogical; determines whether the range coefficients (excluding that of the nuggetcomponent) should be fitted; or logical vector: determines for each range parameterof the variogram model whether it should be fitted or fixed.fit.lmc logical; if TRUE, each coefficient matrices of partial sills is guaranteed to bepositive definitecorrect.diagonalmultiplicative correction factor to be applied to partial sills of direct variogramsonly; the default value, 1.0, does not correct. If you encounter problems withsingular covariance matrices during cokriging or cosimulation, you may want totry to increase this to e.g. 1.01... parameters that get passed to fit.variogram