AI-GEOSTATS
Hello all,

I have a land cover dataset with codes 1-7 representing different land cover 
categories. This data is not too good, but might be better than nothing. 
Let's call this the map.

I have a second dataset - a bunch of point locations at which land cover for 
the area has been ground-truthed. This is essentially my reference data.

I can use these things to construct a confusion, or error matrix, like this:

[1,] 0.11111111 0.02222222 0.00000000 0.8666667 0.00000000 0.000 0.00000000
[2,] 0.07777778 0.18888889 0.00000000 0.7222222 0.00000000 0.000 0.01111111
[3,] 0.00000000 0.24166667 0.49166667 0.2500000 0.01666667 0.000 0.00000000
[4,] 0.03333333 0.26666667 0.06666667 0.6333333 0.00000000 0.000 0.00000000
[5,] 0.00000000 0.75000000 0.00000000 0.1250000 0.00000000 0.125 0.00000000
[6,] 0.00000000 0.00000000 0.90000000 0.0000000 0.10000000 0.000 0.00000000
[7,] 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.000 1.00000000

where cell i,j corresponds to the observed probability of observing class j on 
the ground, where class i was present in the map. For example, a cell with 
class 3 on the map is actually class 3 about 49% of the time. About 24% of 
the time it's class 2, and 25% of the time it is class 4. Very rarely (1.7%) 
it's actually class 5.

I would like to employ indicator simulation on this data using simple kriging 
with locally varying means. I want to generate realizations of reference land 
cover, using the map landcover data to improve the prediction by serving as 
the mean estimate. This approach is documented in Goovaerts' book and in a 
paper by  Kyriakidis and Dungan (2001). However, several points are unclear 
to me.

First, simple kriging is employed on residuals from the mean. For 
multicategorical data of the sort I am investigating here, how would one 
calculate the mean at a particular location?

Second and more practically, I've struggled to discover how to implement this 
in gstat (R version or standalone), and am wondering if anyone has had 
success with another software package.

Thanks in advance for any assistance you can provide.

Ashton

-- 
Ashton Shortridge
Assistant Professor                     [EMAIL PROTECTED]
Dept of Geography                       http://www.msu.edu/~ashton
235 Geography Building                  ph (517) 432-3561
Michigan State University               fx (517) 432-1671
Geography Has moved! Map: http://www.rsgis.msu.edu/images/parking-map.gif
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