That's right, Ivan!
End of year mental death, sorry for the noise...
Vero
El vie, 29 dic 2023 a las 15:34, Ivan Marchesini ()
escribió:
> Hi veronica
>
>
> I see what you did with creating the days time series. In that way you
> acknowledge irregular gaps, right?
>
> yes this is the reason
>
>
Hi Ivan:
On 29/12/2023 20:34, Ivan Marchesini
via grass-user wrote:
Hi veronica
I see what you did with creating the days time series. In
that way you acknowledge irregular
Hi veronica
I see what you did with creating the days time series. In that way you
acknowledge irregular gaps, right?
yes this is the reason
However, why do you multiply by days strds? From my understanding,
detrending by subtracting the results of a model obbeys this rule:
value(t) =
Hello Ivan,
Thanks for coming back to this :)
I see what you did with creating the days time series. In that way you
acknowledge irregular gaps, right? Otherwise, as t.rast.series
method=slope,offset uses r.series in the background, it will use index as
independent variable and therefore maps
Dear Veronica
I think I found a simple solution using temporal raster modules. Here is
an example:
#evaluating info of the strds
eval `t.info mystrds -g`
#getting the starting day (of the year, 0-365) of my strds
startday=$(date -d "$start_time" "+%j")
#Creating a new strds where each pixel
Hi Veronica
Thank you. It goes in the direction of my idea evn if my problem is
exactly trying to take into account the correct gaps between that data
I have another idea.
if it works I will come back here to explain how I did
thank you again
Ivan
On 22/12/23 13:45, Veronica Andreo
Hello Ivan,
AFAIU you could use the slope and offset maps from t.rast.series within
t.rast.algebra to detrend the values of the maps within the strds,
something like "detrended_strds = trend_strds - (trend_strds*map(slope) +
map(offset))". Others suggest, to detrend by subtracting the previous
