You could go back to Bertil Matern's work from the 1960's- he developed what
was essentially geostatistics for use in forestry.
From my experience in forestry, tree height and diameter can be modelled as
stationary random variables (following appropriate detrending), so you may
as well use kriging. At *very* small lags you can get negative
autocorrelation as dominant trees shade out smaller ones.
There are many, many examples of the use of geostatistics in the forestry
literature (e.g. Biondi, F., Myers, D.E., Avery, C.C. 1994. Geostatistically
modeling stem size and increment in an old-growth forest. Canadian Journal
of Forestry 24:1354-1368).
Why not read a few?
Dan
______________________________
Dr. Daniel P. Bebber
Department of Plant Sciences
University of Oxford
South Parks Road
Oxford OX1 3RB
UK
----- Original Message -----
From: "Mach Nife" <[EMAIL PROTECTED]>
To: <ai-geostats@unil.ch>
Sent: Thursday, February 09, 2006 8:29 PM
Subject: [ai-geostats] Interpolation method for forest density
Hi,
I need to create surfaces using forest inventory data
(Tree height, diameter, forest
density(stems/hectares), and so on). I need to fine an
interpolation method of some kind.
What would be the best method (Statistical or
Geostatistical) to achieve this?
machnife
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