data.ppm

0th

Percentile

Extract Original Data from a Fitted Point Process Model

Given a fitted point process model, this function extracts the original point pattern dataset to which the model was fitted.

Keywords
spatial
Usage
data.ppm(object)
Arguments
object
fitted point process model (an object of class "ppm").
Details

An object of class "ppm" represents a point process model that has been fitted to data. It is typically produced by the maximum pseudolikelihood fitting algorithm mpl. The object contains complete information about the original data point pattern to which the model was fitted. This function extracts the original data pattern.

See ppm.object for a list of all operations that can be performed on objects of class "ppm".

Value

  • A point pattern (object of class "ppp").

See Also

ppm.object, ppp.object

Aliases
  • data.ppm
Examples
require(spatstat)
 data(cells)
 fit <- mpl(cells, ~1, Strauss(r=0.1), rbord=0.1)
 X <- data.ppm(fit)
 # 'X' is identical to 'cells'
Documentation reproduced from package spatstat, version 1.4-5, License: GPL version 2 or newer

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