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stat.ME2026
Mark distance correlation functions: from moment-based to distributional mark summary characteristics in spatial point processes
Matthias Eckardt, Mari Myllymäki, Aila Särkkä
With the rapid advancement in data collection devices and storage capacities, we have access to increasing amount of spatial point pattern data where each event location is augment…
stat.ME2026
Uncovering Local Heterogeneity: Local Summary Characteristics for Spatial Point Processes with Composition-Valued Marks
Clemens Baldzuhn, Matthias Eckardt
Traditional analysis of marked spatial point processes often relies on global summary statistics, which tend to obscure local spatial heterogeneity by averaging dependencies across…