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Is there any restriction or recommendation in using BfastSpatial functions (breaking points detections, trends and others) on climate time series (temperature, precipitation)?
Do I have to care about seasonality or something else? I could not find such of info.
Best
Jackson
The text was updated successfully, but these errors were encountered:
Hi Jackson,
Absolutely, structural change detection is not limited to vegetation index time series. See the example from strucchange::efp (that bfastmonitor uses internally) for instance on riverflow or mortality data.
Precipitation is temporally discrete though, so you would have to process it into a meaningful temporally continuous variable.
Hi Loïc,,
Thank you for replying!
I have netcdf datasets of several climate variables (raster bricks). I would like to test for breaking points detections and trends.
Next step is to compare packages greenbrown, bfastspatial and bfast.
I will certainly annoy you and others within next days for a better comprehension of some precedures and commands.
Hi Loïc ,
Is there any restriction or recommendation in using BfastSpatial functions (breaking points detections, trends and others) on climate time series (temperature, precipitation)?
Do I have to care about seasonality or something else? I could not find such of info.
Best
Jackson
The text was updated successfully, but these errors were encountered: