Dear list member
A procedural question for you...
I'm thinking to transform my data in a standardized anomaly [i.e.
(raw datum- sample average)/sample standard deviation)] and then I`ll
perfom the geostatistical analysis on these transformed data. At
first glance, I don't see problem in t
Sebastiano You will be fine so long as you actually have a "stationary" phenomenon. That is, there is a constant mean and standard deviation over your study area -- no trends, no discontinuities, no changes of behaviour. Such a transformation also assumes that your data follow a fairly symmetri
Hello,
I was wondering about some variogram models not having a
sill.
Does this mean that semi-variogram values can be greater
than
the population variance, in which case you would have
negative
covariances, or is the population variance the maximum these
models, e.g. linear model, may reach.
+
Hello,
I was wondering about some variogram models not having a
sill.
Does this mean that semi-variogram values can be greater
than
the population variance, in which case you would have
negative
covariances, or is the population variance the maximum these
models, e.g. linear model, may reach.
+
