Jacques, provided that X and Y are colocated (i.e., have
exactly the same observation locations), you get the
cross variogram right; the definition of this cross
variogram is however:
gamma(h)= E[(X(s)-X(s+h))*(Y(s)-Y(s+h))]
also, where you select:
cv - v$gamma[1:14]
you may be better off using
Dear All,
In order to appreciate the spatial link between to variables: X (numeric)
and Y (factor), measured on a grid at the same locations (i.e. a
geodata-like object with a two-column dataframe as $data), I want to use a
so-called cross-variogram based on such a formula:
h(r)=
