Great!! Obviously I didn't think about that :P
THANKS!!! Vero 2014-04-01 11:13 GMT-03:00 Sören Gebbert <[email protected]>: > Hi Veronica, > > 2014-04-01 16:07 GMT+02:00 Veronica Andreo <[email protected]>: >> Hi Soeren, >> >> 2014-03-31 13:05 GMT-03:00 Sören Gebbert <[email protected]>: >>> 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@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 _______________________________________________ grass-user mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-user
