Given a number of K-functions from data of two populations (e.g. 10 sets with points of population 1 and 10 sets with points of population 2; non-overlapping image areas; only one population per set, so data is not marked), how can I perform testing for group difference based on the K-curves alone? Is there an appropriate test for this?
If I have a single parameter (e.g. Clark Evans or minimum nearest neighbor distance) I can simply perform a T-Test or Mann-Whitney-U-Test (depending on data normality) for the two groups.