Hello,

In order to study the different scales of variation of a set of descriptive
variables, I am trying to decompose 2D gridded variables on an agricultural
field. The data set is not squared, nor dyadic. Outside of the field is
marked as NA values in the variables' matrix.

For the latter problem, I found the modwt.2d() function from the waveslim
package to enables 2D wavelet decomposition of non dyadic data. However, I
was wondering if anybody had heard of a function or a method for handling
non-squared data bidimensionnal wavelet decomposition (in my case, the shape
of the field can be very irregular) ?

Thanks,

Pierre

-- 
Dr. Pierre Roudier
PostDoctoral Fellow

Australian Centre for Precision Agriculture
Rm 307 McMillan Building A05
The University of Sydney, NSW, 2006

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