Beatriz-

For a quick and dirty you might try an indicator kriging run for each bottom
type. (eg rocky = 1 , not rocky= 0; sandy=1 , not sandy = 0; .....) if
indicator variograms of each type are similar you could use an average
variogram for all runs; if they are dissimilar you could renorm the
indicator sums for all types at each grid point to sum to 1).

To estimate the area covered by each type nearest neighbor might be ok.

Robert (Bob) L. Sandefur PE
Senior Geostatistician / Reserve Analyst
CAM 
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-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf
Of Beatriz Yannicelli De Olivera Bueno
Sent: Tuesday, May 22, 2007 15:15
To: [email protected]
Subject: AI-GEOSTATS: bottom types interpolation


Dear list:

I have to map the bottom types of a coastal area with high spatial
heterogeneity. We have geo-referred ecosound tracks with data on
bottom/community types: rocky, sandy, rocky with macroalgae, etc.
Does anyone know which is the best interpolation algorithm for this type
of data which is not continuous but categorical in a continuous space?
And software that can perform this type of 'interpolation'?
My goal is to map and to estimate the area covered by each type of
bottom/community.

Thanks in advance

Beatriz



Beatriz Yannicelli


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