Ken,
The indicator kriging idea does not stop at a single binary variable.
The "standard" (or "Stanford"?) way of getting non-negative predictions,
and possibly predictions that sum to one is rather pragmatic--simply
postprocessing predictions. There is a cleaner solution, called
compositional
I might consider using gam() in R to smooth the 0/1 indicator for each class
individually based on a Bernoulli model - doing each class individually. A
downside of course is that the resulting smoothed maps of the proportions for
each class would not add to one at an individual location, but th
Is there a method for kriging a response with multiple states, for
instance vegetation class in 10 classes? I know indicator kriging would
work for a boolean variable. Is there an extension for multiple
responses?
Kenneth B. Pierce Jr.
Research Ecologist
Landscape Ecology, Modeling, Mapping and
