Hello All! I calculate a variogram using the function variog (package geoR) afterwards I use variofit to fit a spherical model (see code below). Now I just changed the units of the variable (in this case MPa to kPa just a factor of 1000). If I do so, I get a different fit and therefore different ranges etc. Why? The semi-variance is of course 6 orders of magnitude higher but the values are the same. So from my point of view it should be the same fit. Maybe there is a reason for this I do not get. Hopefully someone could reply to this question. Thanks, Sascha Bellaire! Parts of code, just multiplying wl1$PSI with 1000 changed it. #Calculate the extent of the current "sampling" design locations <- cbind(wl1$X,wl1$Y) extent <- max(dist(locations)) max.dist <- extent/2 data1 <- cbind(wl1$X,wl1$Y,wl1$PSI*1000) geodata1 <- as.geodata(data1, coords.col = 1:2, data.col = 3) # Calculate the sample variogram vario_var1 <- variog(geodata1, uvec = nlags, trend = trend, option = "bin", estimator.type = "modulus", max.dist = max.dist, pairs.min = 10., direction = "omnidirectional", messages = TRUE) # Fit a model variofit_var1 <- variofit(vario_var1, cov.model = variotype, fix.nugget = FALSE, max.dist = vario_var1$max.dist, messages = TRUE) ___________________________________ Sascha Bellaire WSL Institute for Snow and Avalanche Research SLF Formation of Alpine Natural Hazards Flüelastrasse 11 7260 Davos Dorf, Switzerland Tel.: +41 81 4170 292 Fax: +41 81 4170 110 www.slf.ch [[alternative HTML version deleted]]