R: Interaction Distance of a Point Process Model

reach {spatstat.model}

R Documentation

Interaction Distance of a Point Process Model

Description

Computes the interaction distance of a point process model.

Usage

  ## S3 method for class 'ppm'
reach(x, ..., epsilon=0)

  ## S3 method for class 'interact'
reach(x, ...)

  ## S3 method for class 'fii'
reach(x, ..., epsilon)

Arguments

`x`	Either a fitted point process model (object of class `"ppm"`), an interpoint interaction (object of class `"interact"`), a fitted interpoint interaction (object of class `"fii"`) or a point process model for simulation (object of class `"rmhmodel"`).
`epsilon`	Numerical threshold below which interaction is treated as zero. See details.
`...`	Other arguments are ignored.

Details

The function reach computes the ‘interaction distance’ or ‘interaction range’ of a point process model.

The definition of the interaction distance depends on the type of point process model. This help page explains the interaction distance for a Gibbs point process. For other kinds of models, see reach.kppm and reach.dppm.

For a Gibbs point process model, the interaction distance is the shortest distance D such that any two points in the process which are separated by a distance greater than D do not interact with each other.

For example, the interaction range of a Strauss process (see Strauss or rStrauss) with parameters \beta,\gamma,r is equal to r, unless \gamma=1 in which case the model is Poisson and the interaction range is 0. The interaction range of a Poisson process is zero. The interaction range of the Ord threshold process (see OrdThresh) is infinite, since two points may interact at any distance apart.

The function reach is generic, with methods for the case where x is

a fitted point process model (object of class "ppm", usually obtained from the model-fitting function ppm);
an interpoint interaction structure (object of class "interact") created by one of the functions Poisson, Strauss, StraussHard, MultiStrauss, MultiStraussHard, Softcore, DiggleGratton, Pairwise, PairPiece, Geyer, LennardJones, Saturated, OrdThresh or Ord;
a fitted interpoint interaction (object of class "fii") extracted from a fitted point process model by the command fitin;
a point process model for simulation (object of class "rmhmodel"), usually obtained from rmhmodel.

When x is an "interact" object, reach(x) returns the maximum possible interaction range for any point process model with interaction structure given by x. For example, reach(Strauss(0.2)) returns 0.2.

When x is a "ppm" object, reach(x) returns the interaction range for the point process model represented by x. For example, a fitted Strauss process model with parameters beta,gamma,r will return either 0 or r, depending on whether the fitted interaction parameter gamma is equal or not equal to 1.

For some point process models, such as the soft core process (see Softcore), the interaction distance is infinite, because the interaction terms are positive for all pairs of points. A practical solution is to compute the distance at which the interaction contribution from a pair of points falls below a threshold epsilon, on the scale of the log conditional intensity. This is done by setting the argument epsilon to a positive value.

Value

The interaction distance, or NA if this cannot be computed from the information given.

Other types of models

Methods for reach are also defined for point process models of class "kppm" and "dppm". Their technical definition is different from this one. See reach.kppm and reach.dppm.

Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net

Examples

    reach(Poisson())
    # returns 0

    reach(Strauss(r=7))
    # returns 7
    fit <- ppm(swedishpines ~ 1, Strauss(r=7))
    reach(fit)
    # returns 7

    reach(OrdThresh(42))
    # returns Inf
    
    reach(MultiStrauss(matrix(c(1,3,3,1),2,2)))
    # returns 3

[Package spatstat.model version 3.2-11 Index]