interactionorder: Determine the Order of Interpoint Interaction in a Model

In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

Determine the Order of Interpoint Interaction in a Model

Description

Given a point process model, report the order of interpoint interaction.

Usage

interactionorder(object)

## S3 method for class 'ppm'
interactionorder(object)

## S3 method for class 'interact'
interactionorder(object)

## S3 method for class 'isf'
interactionorder(object)

## S3 method for class 'fii'
interactionorder(object)

Arguments

object

A point process model (class "ppm") or similar information.

Details

This function determines the order of interpoint interaction in a Gibbs point process model (or a related object).

The interaction order is defined as the largest number k such that the probability density of the model contains terms involving k points at a time. For example, in a pairwise interaction process such as the Strauss process, the probability density contains interaction terms between each pair of points, but does not contain any terms that involve three points at a time, so the interaction order is 2.

Poisson point processes have interaction order 1. Pairwise-interaction processes have interaction order 2. Point processes with the triplet interaction Triplets have interaction order 3. The Geyer saturation model Geyer and the area-interaction model AreaInter have infinite order of interaction.

Value

A positive integer, or Inf.

Author(s)

\spatstatAuthors

.

Examples

  interactionorder(ppm(cells ~ 1))
  interactionorder(Strauss(0.1))
  interactionorder(Triplets(0.1))
  interactionorder(Geyer(0.1, 2))
  interactionorder(Hybrid(Strauss(0.1), Triplets(0.2)))

spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.