We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked Point Processes framework. We employ the proposed summary statistics to run a local test of random labelling, useful to identify points, and consequently regions, where this assumption does not hold, i.e. the functional marks are spatially dependent.
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu, Ottmar Cronie (2022). Local test of random labelling for functional marked point processes. In Proceedings of the 10th International Workshop on Spatio-Temporal Modelling (pp. 157-161).
Local test of random labelling for functional marked point processes
Nicoletta D'Angelo
;Giada Adelfio;Jorge Mateu;
2022-01-01
Abstract
We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked Point Processes framework. We employ the proposed summary statistics to run a local test of random labelling, useful to identify points, and consequently regions, where this assumption does not hold, i.e. the functional marks are spatially dependent.
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