Thanks everybody for the replies,
Monica, indeeed, the first thing I did was to test the if distribution
was a mix of samples from two populations. I did use the Mclust package
in R, which gives a BIC score relative to the hypotesis that the samples
are a mixture of n normal distributions,
Dear All,
I'm experiencing some doubt about the logic consistency of the procedure
I'm following to analyse my data.
The dataset I'm dealing with, comprises 360 sampling points; for each
one of this points I have a measure of nitrate concentration in groundwater.
What I'm trying to do is to
Hi Cristiano
I think that you can try to use moving windows statistics to check if
there are strong differences in variability and mean values
among the eastern and southern part of the spatial domain (obviously
trying to understand
the processes behind these differences).
Then, I guess that
Hi,
I think that the first step is to make sure that your 2 different sample
distributions really come from 2 different populations and they are not
actually random samples of the same population. There are different
mix-population analyses implemented in R, an open source software
