Ciao Luca, Just following the example in t.rast.aggregate.ds manual page, I added a section for seasonal aggregation [0] to the "Temporal data processing" wiki, showing how to get astro_seasonal aggregation from a daily time series. I guess you already solved the problem, but at least it is there for future reference :)
It would be awesome, anyway, to have astro_season as a predefined granularity!! Way more simple!!! Cheers, Vero [0] https://grasswiki.osgeo.org/wiki/Temporal_data_processing/seasonal_aggregation 2015-08-19 10:46 GMT-03:00 Sören Gebbert <soerengebb...@googlemail.com>: > Hi Luca, > > Am 19.08.2015 12:01 schrieb "Luca Delucchi" <lucadel...@gmail.com>: > > > > On 14 August 2015 at 00:35, Sören Gebbert <soerengebb...@googlemail.com> > wrote: > > > Hi, > > > > Hi, > > > > > to reduce a bit of confusion. You can apply a time interval of > > > arbitrary size to a map layer. Use the input file option of t.register > > > and specify the interval size in the input file: > > > > > > > yes in t.register there aren't problems... > > > > > name|start_time|end_time > > > map_1|2001-03-22 00:00:00|2001-06-21 00:00:00 > > > map_2|2001-06-21 00:00:00|2001-09-24 00:00:00 > > > map_3|2001-09-24 00:00:00|2001-12-21 00:00:00 > > > map_4|2001-12-21 00:00:00|2002-03-22 00:00:00 > > > ... > > > > > > Be aware that time intervals in the temporal framework are left > > > closed, right open intervals. Hence, the end time is not part of the > > > interval, but the start time of a potential successor. > > > This assures gap free creation of temporal topological correct time > series. > > > > > > The computed granularity of the resulting space-time dataset (STDS) > > > will be 1 day, since 1 day is the greatest common divider of all the > > > seasonal time intervals in the STDS. > > > IMHO, there is no urgent need to support a user defined granularity in > > > the temporal framework. The Gregorian Calendar hierarchy is almost > > > sufficient. > > > > > > > for the aggregation I think this is needed... > > how can I calculate average seasonal temperature starting from a daily > > temperatures temporal dataset? > > Use t.rast.aggregate.ds, the input is the daily strds, the sampling stds > should have seasonal intervals. Then use average as method. The output will > have seasonal aggregated temperatures. > > Best regards > Soeren > > > > > > Best regards > > > Soeren > > > > > > > > > -- > > ciao > > Luca > > > > http://gis.cri.fmach.it/delucchi/ > > www.lucadelu.org > > _______________________________________________ > grass-dev mailing list > grass-dev@lists.osgeo.org > http://lists.osgeo.org/mailman/listinfo/grass-dev >
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