predict.kppm

From spatstat v1.27-0 by Adrian Baddeley

Prediction from a Fitted Cluster Point Process Model

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

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. The intensity of the fitted model is computed, using predict.ppm.

Value

Usually a pixel image (object of class "im"), but see predict.ppm for details.

Examples

data(redwood)
  fit <- kppm(redwood, ~x, "Thomas")
  predict(fit)

Documentation reproduced from package spatstat, version 1.27-0, License: GPL (>= 2)

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