novel approach is proposed which combines spatial data modeling via Ripley's K-function with Functional Analysis of Variance … (FANOVA), i.e., Analysis of Variance on Functional data. The K-function allows to synthesize the spatial pattern information … data into a lower dimensional format (the K-function curves), but also more effective than benchmark methods in detecting …

definition. To disentangle these shortcomings, we make use of a locational measure based on the Getis' local K-function (Getis …

from the discretionally chosen definition of space. To address these shortcomings, we use the Getis‚Äö√Ñô local K-function …

inventoried in the same area were examined. The Ripley’s K-function was applied to measure and test for randomness. This indicator …-constant intensity of the geological phenomena, a modification of the K-function for inhomogeneous point processes was adopted. The … independently distributed, the cross K-function was computed. The results show that all the geological events under study are …