On 26/01/2008, at 10:54 AM, Carson Farmer wrote:
> Dear List,
>
> I am attempting to perform a harmonic analysis on a time series of
> snow
> depth, in which the annual curve is essentially asymmetric (i.e. snow
> accumulates slowly over time, and the subsequent melt occurs
> relatively
> rapidly). I am trying to fit a curve to the data, however, the actual
> frequency is unknown.
Obviously there is something I am not understanding here.
I would have thought that the ``actual frequency'' would
be 1/(1 year) (period = 1 year) --- modulo the fact that
the length of the year is constantly changing a tiny bit.
(But I would've thought that this would have no practical
impact in respect of any observed series.)
What is your sampling interval, BTW? Day? Week? Month?
> I have been trying to follow the methods in Peter
> Bloomfields text "Fourier Analysis of Time Series", but am having
> trouble implementing this in R.
Note that even though the ``actual frequency'' is (???) 1/(1 year),
the representation of the mean function in terms of sinusoids
will involve in theory infinitely many terms/frequencies since
the mean function is clearly (!) not a sinusoid.
> Does anyone have any suggestions, or perhaps directions on how this
> might be done properly? Am I using the right methods for fitting an
> asymmetric curve?
I would have to know more about what you are *really* trying
to do, and what the data are like, before I could make any
useful suggestions. Many modelling issues could come into
play, and many modelling strategies are potentially applicable.
cheers,
Rolf Turner
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