[GRASS-user] t.rast.aggregate

[Veronica Andreo]

Great!!

Obviously I didn't think about that :P

THANKS!!!

Vero

2014-04-01 11:13 GMT-03:00 Sören Gebbert <soerengebbert at googlemail.com>:
> Hi Veronica,
>
> 2014-04-01 16:07 GMT+02:00 Veronica Andreo <veroandreo at gmail.com>:
>> Hi Soeren,
>>
>> 2014-03-31 13:05 GMT-03:00 Sören Gebbert <soerengebbert at googlemail.com>:
>>> Hi Veronica,
>>> you can use t.rast.series for this kind of task. Use a SQL expression
>>> to select only specific months of a year. Please try this code
>>> (untested, may contain errors):
>>>
>>> # January averages
>>> t.rast.series input=monthly_aggregates \
>>>     output=jan_average method=average \
>>>     where="start_time = datetime(start_time, 'start_of_year', '0 month')"
>>
>> Thanks so much for your help! Worked perfectly just removing the
>> underscore in 'start of year'
>
> Ooops, sorry for the underscore's.
>
>>
>> Have one question though: is there a way to check which maps were used
>> to estimate the average (or whatever operation t.rast.series perform)?
>> Is that information stored somewhere? or is there a way to check prior
>> to t.rast.series??
>
> You can use the same SQL expression in any other temporal command that
> support SQL where expressions. For example t.rast.list:
>
> {{{
> t.rast.list input=precipitation_1950_2013_monthly_mm at soeren
> where="start_time = datetime(start_time, 'start of year', '0 month')"
>
> precipitation_monthly_mm_0 soeren 1950-01-01 00:00:00 1950-02-01 00:00:00
> precipitation_monthly_mm_12 soeren 1951-01-01 00:00:00 1951-02-01 00:00:00
> ...
> precipitation_monthly_mm_732 soeren 2011-01-01 00:00:00 2011-02-01 00:00:00
> precipitation_monthly_mm_744 soeren 2012-01-01 00:00:00 2012-02-01 00:00:00
> precipitation_monthly_mm_756 soeren 2013-01-01 00:00:00 2013-02-01 00:00:00
> }}}
>
>
> Best regards
> Soeren
>
>>
>> Thanks again!
>> Best,
>>
>> Vero