Dear list,

is there a way to have block-kriging predictions when using spatio-temporal
with separable covariance model, in particular by using the gstat/spacetime
suite. ?
I saw examples of block kriging when using a 3D metric kriging, with
rescaled time axis, so that a parallelepiped can be set in the krige()
function.
Setting a block in the krigeST does not work, seemingly.

Thanks for any help,
Piero

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