Hello Dan,
There are multiple ways to treat the spatially autocorrelated data. Rather
than suggesting a single solution, I would like to point out the below book,
which I found very useful.
Statistical methods for spatial data analysis by Oiver Schabenberger and
Carol Gotway. 2005. Chapman and Hall.
Ofcourse, spatial statistics by Noel Cressie (1993) - Statistics for spatial
Data, is a classic reference.
Krishna
"Daniel C. McEwen" <[EMAIL PROTECTED]> wrote:
I am developing models of benthic invertebrate abundance but am uncertain
of the best way to treat the spatial data. I have lat, long, and depth.
I thought about detrending, but then wouldn't I have to double detrend
(first with respect to lat and long and second with depth)?
Alternatively, would it make sense to just include the interaction of lat,
long, and depth in the model as a covariable?
Thanks,
Dan
Dr. Krishna Prasad Vadrevu Research Scientist 201 Thorne
Hall, Agroecosystem Management Program 1680 Madison Avenue, The Ohio State
University Wooster, OHIO, 44691-4096, USA Fax : 330-263-3686 Phone :
330-202-3539 Email : [EMAIL PROTECTED]
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