Yes, I meant a parallelepiped "c(dx, dy, dz)" with *right* angles.
Thanks for explaining,
Piero
On 13 January 2013 21:17, Edzer Pebesma wrote:
>
>
> On 01/13/2013 08:48 PM, Piero Campalani wrote:
> > Dear Edzer,
> > thanks for the help.
> > Is block-kriging possible with this kind of covariance m
On 01/13/2013 08:48 PM, Piero Campalani wrote:
> Dear Edzer,
> thanks for the help.
> Is block-kriging possible with this kind of covariance model, or is it just
> not implemented in the `spacetime` package?
it is just not implemented.
>
> On 13 January 2013 18:31, Edzer Pebesma wrote:
>
>>>
Dear Edzer,
thanks for the help.
Is block-kriging possible with this kind of covariance model, or is it just
not implemented in the `spacetime` package?
On 13 January 2013 18:31, Edzer Pebesma wrote:
> > I saw examples of block kriging when using a 3D metric kriging, with
> > rescaled time axis,
On 01/13/2013 04:05 PM, Piero Campalani wrote:
> 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, w
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 i