ldmppr_sim: Simulated marked point process object
In ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes

ldmppr_sim

R Documentation

Simulated marked point process object

Description

ldmppr_sim objects are returned by simulate_mpp. They contain the simulated realization, an associated marked point pattern object, and metadata used to reproduce or inspect the simulation.

Usage

## S3 method for class 'ldmppr_sim'
print(x, ...)

## S3 method for class 'ldmppr_sim'
summary(object, ...)

## S3 method for class 'summary.ldmppr_sim'
print(x, ...)

## S3 method for class 'ldmppr_sim'
as.data.frame(x, ...)

## S3 method for class 'ldmppr_sim'
nobs(object, ...)

## S3 method for class 'ldmppr_sim'
plot(x, pattern_type = "simulated", ...)

mpp.ldmppr_sim(x, ...)

Arguments

`x`	a `ldmppr_sim` object.
`...`	additional arguments (not used).
`object`	a `ldmppr_sim` object.
`pattern_type`	type of pattern to plot `"simulated"` (default).

Details

An ldmppr_sim is a list with at least:

process: process name (e.g. "self_correcting")
mpp: a marked point pattern object
realization: data.frame with columns time, x, y, marks
params, bounds, and other metadata

Value

For methods:

print(): prints a summary of the simulation.
summary(): returns a summary.ldmppr_sim object.
plot(): returns a ggplot visualization of the marked point pattern.
as.data.frame(): returns the simulated realization as a data.frame.
nobs(): returns the number of points in the realization.
mpp(): returns the marked point pattern object.

Methods (by generic)

print(ldmppr_sim): Print a brief summary of the simulation.
summary(ldmppr_sim): Summarize a simulated realization.
as.data.frame(ldmppr_sim): Coerce to a data.frame of the simulated realization.
nobs(ldmppr_sim): Number of simulated points.
plot(ldmppr_sim): Plot the simulated marked point pattern.