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.blumentr...@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 > _______________________________________________ > grass-user mailing list > grass-user@lists.osgeo.org > https://lists.osgeo.org/mailman/listinfo/grass-user
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