Thanks for the answers. I have cleaned up the data by rounding the dates to
half years, and now the variogram turns out beautiful. Now I can proceed to
kriging and see what I get.

Best regards,

Roelof Coster




2014-02-13 17:54 GMT+01:00 <ldecola@comcast.net>:

> when confronted with a large dataset i usually begin by trying methods out
> on subsets, e.g. start with 2^n for n = 8 and work your way up to 2^17...
> you might find convergence to the answer to your questions before analyzing
> the full dataset.
>
> Lee De Cola
> ------------------------------
> *From: *"Roelof Coster" <roelofcoster@gmail.com>
> *To: *r-sig-geo@r-project.org
> *Sent: *Thursday, February 13, 2014 7:30:04 AM
> *Subject: *[R-sig-Geo] Spacetime regression
>
>
> Hi all,
>
> I want to do a spatio-temporal regression on a quite large dataset. I have
> >100 k records. These correspond to measurements taken at 3000 locations,
> approximately every half year. The geographic area is all of the
> Netherlands (240 x 300 km).
>
> Is spatio-temporal kriging advisable for a dataset that is so large?
>
> When I make the sample space-time variogram (with variogramST), it
> automatically chooses a time-lag difference of about 2 days. This is much
> too small to be meaningful for my data; half-year periods would be
> interesting. Is there a way to tell this to the variogramST function?
>
> Thanks in advance,
>
> Roelof Coster
>
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