🚀 go-pugleaf

Howdy,
 I'm looking for some sort of *standard* measure of spatial variability.
I would like to know if something like this exists in the mathematic,
statistic, or image processing world before I invent my own measure.

Background: I have maps of various agronomic properties (such as soil
type, nitrate concentrations, etc).  I also have some images of remotely
sensed data.  I would like to be able to assign these some index of
of spatial variability. For example, if a map or image is completely
homogeneous (i.e., all the same color), then perhaps assign it an index 
of zero.  If I generated a grayscale image by "randomly" assigning pixels 
values (say from 0 to 255), then it may have an index of 100 (maximum 
spatial variability).

For you geostatistic folk, I am aware of semivariograms and their use
in kriging.  I'm really looking for some sort of index value as opposed
to a function.

PLEASE E-MAIL ANY SUGGESTIONS.  I'll summarize personally to any "me, too"
requests. I apologize for the groce cross-posting, but this was the only 
way I could reach the audiences who may have any ideas.

Thanks,
Darrell McCauley
-- 
James Darrell McCauley (jdm5548@diamond.tamu.edu, jdm5548@tamagen.bitnet)
Spatial Analysis Lab, Department of Agricultural Engineering,
Texas A&M University, College Station, Texas 77843-2117, USA