5 papers
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…
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…
Spatiotemporal Autoregressive Models for Areal Compositional Data
Matthias Eckardt, Philipp Otto
Compositional data, such as regional shares of economic sectors or property transactions, are central to understanding structural change in economic systems across space and time.…
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…
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…