[GRASS-user] Univariate statistics with a moving temporal window over a STRDS

[Veronica Andreo]

Hi Stefan,

Nice problem you have on hands... you are right that min(), max(), median()
are not supported in t.rast.algebra... a pity since since that would be the
optimum (we could open a feature request for this as to remember).

The only thing I can think of (though not elegant) is to use the where
option in t.rast.aggregate setting the date and with 3 days granularity and
min (max or median) method. Then cycle over starting dates... instead
looking backwards, you go forward in time but iterate over each day...

Then, there's Luca's add-on, t.rast.what.aggr, that allows to estimate
stats backwards in time but for a vector of points with date as attribute:
https://grass.osgeo.org/grass76/manuals/addons/t.rast.what.aggr.html

I added Thomas Leppelt in cc, maybe he has a better idea since Sören and
him were the authors of the temporal algebra (sorry for double posting
Thomas, I do not know if you are in the list)

best,
Vero

El mar., 25 feb. 2020 a las 6:02, Stefan Blumentrath (<
Stefan.Blumentrath at nina.no>) escribió:

> Dear all,
>
>
>
> I would like to calculate a running univariate statistics over a Space
> Time Raster Dataset: e.g. for each day the maximum temperature looking up
> to three days back.
>
> In t.rast.algebra, I can use temporal buffering (buff_t() function) or
> temporal offset for that purpose, but functions like min(), max(),
> median(), are not supported.
>
> t.rast.aggregate is not suitable because it does not allow for overlapping
> aggregation…
>
>
>
> Any idea how to achieve that? Did I overlook a relevant module?
>
>
>
> Cheers,
>
> Stefan
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