I want to compare the strength of the spatial autocorrelation of two sets of values that are located on the same area. The data are individual growth rates.
I want to compare the strength of the spatial autocorrelation within groups (species) and of the spatial autocorrelation among all groups together (whole dataset), on the same plot.
Until now I used Moran's I test to determine if each group had a significant spatial autocorrelation and did not compare the strength.
I have several problems. How to compare the strength of the spatial autocorrelation given that :
- Each group is included in the whole dataset (the points of each group are also in the whole dataset)
- Therefore the whole dataset is much bigger than each group and p-values might be affected
- Each group has a different sample size and therefore p-values might be affected.
Maybe it is not feasible... I am looking for the simplest possible method to be very clear with what I am doing. I use R.