[GRASS-dev] Seasonal temporal granularity

[Sören Gebbert]

Hi Luca,

Am 19.08.2015 12:01 schrieb "Luca Delucchi" <lucadeluge at gmail.com>:
>
> On 14 August 2015 at 00:35, Sören Gebbert <soerengebbert at 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
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