# is.stationary

0th

Percentile

##### Recognise Stationary and Poisson Point Process Models

Given a point process model that has been fitted to data, determine whether the model is a stationary point process, and whether it is a Poisson point process.

Keywords
models, spatial
##### Usage
is.stationary(x)
## S3 method for class 'ppm':
is.stationary(x)
## S3 method for class 'kppm':
is.stationary(x)
## S3 method for class 'slrm':
is.stationary(x)
## S3 method for class 'rmhmodel':
is.stationary(x)
is.poisson(x)
## S3 method for class 'ppm':
is.poisson(x)
## S3 method for class 'kppm':
is.poisson(x)
## S3 method for class 'slrm':
is.poisson(x)
## S3 method for class 'rmhmodel':
is.poisson(x)
## S3 method for class 'interact':
is.poisson(x)
##### Arguments
x
A fitted spatial point process model (object of class "ppm", "kppm" or "slrm") or similar object.
##### Details

The argument x represents a fitted spatial point process model or a similar object.

is.stationary(x) returns TRUE if x represents a stationary point process, and FALSE if not.

is.poisson(x) returns TRUE if x represents a Poisson point process, and FALSE if not.

The functions is.stationary and is.poisson are generic, with methods for the classes "ppm" (Gibbs point process models), "kppm" (cluster or Cox point process models), "slrm" (spatial logistic regression models) and "rmhmodel" (model specifications for the Metropolis-Hastings algorithm). Additionally is.poisson has a method for class "interact" (interaction structures for Gibbs models).

is.poisson.kppm will return FALSE, unless the model x is degenerate: either x has zero intensity so that its realisations are empty with probability 1, or it is a log-Gaussian Cox process where the log intensity has zero variance.

is.poisson.slrm will always return TRUE, by convention.

##### Value

• A logical value.

is.marked to determine whether a model is a marked point process. summary.ppm for detailed information.

Model-fitting functions ppm, kppm, slrm.

##### Aliases
• is.stationary
• is.stationary.ppm
• is.stationary.kppm
• is.stationary.slrm
• is.stationary.rmhmodel
• is.poisson
• is.poisson.ppm
• is.poisson.kppm
• is.poisson.slrm
• is.poisson.rmhmodel
• is.poisson.interact
##### Examples
data(cells)
data(redwood)

fit <- ppm(cells, ~x)
is.stationary(fit)
is.poisson(fit)

fut <- kppm(redwood, ~1, "MatClust")
is.stationary(fut)
is.poisson(fut)

fot <- slrm(cells ~ x)
is.stationary(fot)
is.poisson(fot)
Documentation reproduced from package spatstat, version 1.23-3, License: GPL (>= 2)

### Community examples

Looks like there are no examples yet.