Dean

The semi-variogram function (if it reaches a sil at

some point) is directly analogous to the covariance

between samples given the distance (and possibly

direction) between them. If you take:

total sill (final height of semi-variogram)

minus

semi-variogram value at a given distance

you get the covariance between the values at two

locations separated by that distance. If you divided

through by the total sill you (theoretically) get the

correlation between them.

So it isn't really a probability function but a

covariance function.

You can derive probabilities for unsampled locations

by theory or simulation through the kriging process.

Isobel