>Hello all,
>
[quoted text clipped - 8 lines]
>I am just looking for a project idea.. so if anyone could point me
>towards some info on different techniques, it would be great.
Truckloads of methods, so much so that to be serious about it,
you'll also have to devote significant effort to figuring out
what you mean by 'best results' before going much in to them.
Meteorology also uses (usually before oceanography) such methods, so
there's another search term. Some families of methods, loosely in
order of complexity:
Cressman Filtering
Splining
Kriging
2d Var (2 dimensional variational analysis)
Optimal Interpolation
3d Var
4d Var
Kalman Filtering
The variational analysis methods and Kalman filter require that
you have a model of the evolution of the field you're working on.
The requirement may only be for a 'first guess' in the case of the
variational analysis, but you can do it for full-scale models as
well.
Speaking of such, throw in adjoint models to the list.

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Robert Grumbine http://www.radix.net/~bobg/ Science faqs and amateur activities notes and links.
Sagredo (Galileo Galilei) "You present these recondite matters with too much
evidence and ease; this great facility makes them less appreciated than they
would be had they been presented in a more abstruse manner." Two New Sciences
p - 30 May 2007 04:56 GMT
> Cressman Filtering
> Splining
[quoted text clipped - 4 lines]
> 4d Var
> Kalman Filtering
Bah!, just use linear interpolation.
It's the same 'guessing' that any of the aforementioned are.
You're making up data that doesn't really exist.
I've seen about as many splines in nature as I have
flat ramps or fuzzy sheep shapes.
P