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1

Note where the error is coming from and step through your code. Its not even getting to the Savitsky-Golay line. > v = as.vector(r) > z = na.spline(v) > s1.ts2 = ts(z, start=1, end=nlayers(z), frequency=12) Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘nlayers’ for signature ‘"numeric"’ The error ...


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Sort by time and drop duplicate mmsis keeping last: newdf = df.sort_values('time').drop_duplicates('mmsi', keep='last')


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If I use the above code, I will copy and paste the water area with 4(4class)*15(15years)*80(Hybas iDs) times. This is a very large workload. Is there any way to reduce the workload?


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You can turn point data into raster data via Point to Raster (or Feature to Raster in the same toolbox), and then apply the raster-based methods you mention.


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