spatstat.core: data.ppm – R documentation

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data.ppm

Extract Original Data from a Fitted Point Process Model

Description

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

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 model-fitting algorithm ppm. 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").

Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner r.turner@auckland.ac.nz.

Examples

fit <- ppm(cells, ~1, Strauss(r=0.1))
 X <- data.ppm(fit)
 # 'X' is identical to 'cells'

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2

GPL (>= 2)

Authors

Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]

Initial release

2021-04-17