Ciao, Maria Elena
Hallo everybody,
I am trying to aggregate some time-stamped raster (placed in
an initial space-time dataset) but I have some problems; each raster represents
a 1h-cumulated rainfall, so I have something like this:raster1 | start_time 2014-09-04 12:00:00 | end_time 2014-09-04 13:00:00
raster2 | start_time 2014-09-04 13:00:00 | end_time 2014-09-04 14:00:00
etcI would like to aggregate from a certain datetime backward adopting
different granularities (2 hours, 3 hours, 4 hours, 5hours and 6 hours) but not
in a ?massive? way, I just need the first aggregation for each granularity. I
came up with something like this:for i in `seq 2 1 6` ;
do t.rast.aggregate -- o input=initial_dataset output=${i}h_aggregate method=sum basename=${i}h_aggregate granularity="$i hours" sampling=contains where="start_time = datetime('2014-09-04
14:00:00','-$i hours') and end_time
<= '2014-09-04 12:00:00'");
Sorry for late response.
Luca has come with this (probable) solution for your problem...
for i in `seq 2 1 6` ;
do
end_time=12;
start_time=`expr $end_time - $i`;
t.rast.aggregate --o input=initial_dataset output=${i}h_aggregate
method=sum basename=${i}h_aggregate granularity="$i hours"
sampling=contains where="start_time >= "2014-09-04
${start_time}:00:00" and end_time <= "2014-09-04 ${end_time}:00:00";
done
We did not test, so please let us know if it works
Cheers,
Vero