ChaoshengSome thoughts in response toyour questions:1: "Spatially correlated data provide redundant information for thecalculation of mean" I would not say "redundant". Even if information is correlated, the correlation is not perfect (=1) which wouldbe "redundant". If the data is
AI-GEOSTATS
Dear kai
If you don't care about the shape of the moving
windows in data metrics grid option of surfer 8 you can calculate the median.
Bye
Sebastiano
At 08.40 24/05/2006, Zosseder, Kai \(LfU\) wrote:
AI-GEOSTATS
Hello List,
Does anybody have experience with moving
median
AI-GEOSTATS
Hi Ashton,
Sequential Indicator simulation (SIS) is based on the local estimation (i.e.
kriging) of the
probabilities of occurrence of each of the 7 categories, in your case. Thus,
the local mean
refers to the local (a priori) probability of occurrence of each of the seven
classes
AI-GEOSTATS
Hello Ashton,
I would suggest to do the interpolation of the probability field using a
logistic scale, to avoid getting negative estimates for some categories.
This essentially implies changing your bare zeroes (in the error matrix
below) by a suitable small number (say, the
