Summary statistics for measuring the relationship among three types of points in multivariate point patterns

DOI10.1016/j.csda.2008.10.009zbMath1453.62250OpenAlexW2077632809MaRDI QIDQ961712

Hui-Qiong Li, Liu-Cang Wu

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.10.009

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (2)

Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach ⋮ Editorial. Spatial statistics: methods, models \& computation

Uses Software

• spatial

Cites Work

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• Kaplan-Meier estimators of distance distributions for spatial point processes
• A \(J\)-function for marked point patterns
• A Third Order Point Process Characteristic
• Statistical Inference for Spatial Processes
• Integral and Differential Characterizations of the GIBBS Process
• A nonparametric measure of spatial interaction in point patterns
• Indices of Dependence Between Types in Multivariate Point Patterns

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