Develops clr-based local indicators of mark association for composition-valued marks in spatial point processes to detect local heterogeneity invisible to global metrics.
year = 1976
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ldmppr is an R package providing tools to model, simulate from, and assess goodness-of-fit for location-dependent marked point processes.
citing papers explorer
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Uncovering Local Heterogeneity: Local Summary Characteristics for Spatial Point Processes with Composition-Valued Marks
Develops clr-based local indicators of mark association for composition-valued marks in spatial point processes to detect local heterogeneity invisible to global metrics.
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ldmppr: Location Dependent Marked Point Processes in R
ldmppr is an R package providing tools to model, simulate from, and assess goodness-of-fit for location-dependent marked point processes.