predict.kppm

0th

Percentile

Prediction from a Fitted Cluster Point Process Model

Given a fitted cluster point process model, this function computes the fitted intensity of the model.

Keywords
models, spatial
Usage
## S3 method for class 'kppm':
predict(object, ...)
Arguments
object
Fitted cluster point process model. An object of class "kppm".
...
Arguments passed to predict.ppm.
Details

This is a method for the generic function predict. The argument object should be a cluster point process model (object of class "kppm") obtained using the function kppm.

Prediction computes the intensity of the fitted model. The algorithm calls predict.ppm to compute the intensity.

Value

  • Usually a pixel image (object of class "im").

See Also

kppm, plot.kppm, predict.ppm

Aliases
  • predict.kppm
Examples
data(redwood)
  fit <- kppm(redwood, ~x, "Thomas")
  v <- predict(fit)
Documentation reproduced from package spatstat, version 1.17-0, License: GPL (>= 2)

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