We consider a dependent thinning of a regular point process with the aim of obtaining aggregation on the large scale and regularity on the small scale in the resulting target point process of retained points. Various parametric models for the underlying processes are suggested and the properties of the target point process are studied. Simulation and inference procedures are discussed when a realization of the target point process is observed, depending on whether the thinned points are observed or not. The paper extends previous work by Dietrich Stoyan on interrupted point processes.
Moreover, partly following REF , we use DPPs together with certain dependent thinnings when constructing point process models with aggregation on the large scale and regularity on the small scale.
Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets
arXiv: Methodology
Mathematics