Modelling Spatial Point Patterns in R

DOI10.1007/0-387-31144-0_2OpenAlexW3591728MaRDI QIDQ5445911

Rolf Turner, Adrian J. Baddeley

Publication date: 6 March 2008

Published in: Case Studies in Spatial Point Process Modeling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/0-387-31144-0_2

zbMATH Keywords

EDA for spatial point processespoint process model fitting and simulationspatstat package

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (12)

Residual Analysis for Inhomogeneous Neyman-Scott Processes ⋮ Cauchy cluster process ⋮ Using hierarchical clustering and dendrograms to quantify the clustering of membrane proteins ⋮ Spatial logistic regression and change-of-support in Poisson point processes ⋮ A Bayesian approach to fitting Gibbs processes with temporal random effects ⋮ Numerical solution of an integral equation from point process theory ⋮ Leverage and Influence Diagnostics for Spatial Point Processes ⋮ Spatial point process models for location-allocation problems ⋮ A Bayesian mark interaction model for analysis of tumor pathology images ⋮ Hidden Second-order Stationary Spatial Point Processes ⋮ Fast Covariance Estimation for Innovations Computed from a Spatial Gibbs Point Process ⋮ Transforming Spatial Point Processes into Poisson Processes Using Random Superposition

Uses Software

• R
• spatstat

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