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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…
stat.ME2025
On spatial point processes with composition-valued marks
Matthias Eckardt, Mari Myllymäki, Sonja Greven
Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacitie…
stat.ME2024
Second-order characteristics for spatial point processes with graph-valued marks
Matthias Eckardt, Farnaz Ghorbanpour, Aila Särkkä
The immense progress in data collection and storage capacities have yielded rather complex, challenging spatial event-type data, where each event location is augmented by a non-sim…