Hi all,
Please I need clarification about the cross validation of fitted variogram
model. I have come across a situation where some use *exp.var *in cross
validation others use *exp.mod*. As for me, I think *exp.mod *is the right
to use because the theoretical function is already fitted to empirical
variogram. Moreso, *exp.mod *has the parameters in terms of nugget, sill,
and range for the fitted function. Whereas *exp.var *has initial starting
value of the parameter.

from the last script, should model equals to *exp.var *or *exp.mod*?

## Fit empirical semivariogram using gstat
empvar<-variogram(yield~1,canocrop.sp,cutoff = 300,width = 5, cressie =
TRUE)


## Exponential variogram model
exp.var<-vgm(psill = psill, model = "Exp", range = range, nugget = nugget)
exp.mod<-fit.variogram(empvar,model = exp.var)


#### Cross validation of the variogram models by ordinary kriging

exp.kcv <- krige.cv(yield ~ 1, canocrop.sp, *model = ???*,nmax = 20,
nfold=  5)

Thank you.

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