Random Generation Functionality for the 'spatstat' Family

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Documentation for package ‘spatstat.random’ version 3.4-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

A C D E G I P Q R S U W

spatstat.random-package

The spatstat.random Package

-- A --

as.owin.rmhmodel

Convert Data To Class owin

-- C --

clusterfield	Field of clusters
clusterfield.character	Field of clusters
clusterfield.function	Field of clusters
clusterkernel	Extract Cluster Offspring Kernel
clusterkernel.character	Extract Cluster Offspring Kernel
clusterradius	Compute or Extract Effective Range of Cluster Kernel
clusterradius.character	Compute or Extract Effective Range of Cluster Kernel

-- D --

default.expand	Default Expansion Rule for Simulation of Model
default.rmhcontrol	Set Default Control Parameters for Metropolis-Hastings Algorithm.
dknn	Theoretical Distribution of Nearest Neighbour Distance
dmixpois	Mixed Poisson Distribution
domain.rmhmodel	Extract the Domain of any Spatial Object
dpakes	Pakes distribution

-- E --

expand.owin

Apply Expansion Rule

-- G --

gauss.hermite

Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution

-- I --

is.poisson	Recognise Stationary and Poisson Point Process Models
is.poisson.rmhmodel	Recognise Stationary and Poisson Point Process Models
is.stationary	Recognise Stationary and Poisson Point Process Models
is.stationary.rmhmodel	Recognise Stationary and Poisson Point Process Models

-- P --

pknn	Theoretical Distribution of Nearest Neighbour Distance
pmixpois	Mixed Poisson Distribution
ppakes	Pakes distribution

-- Q --

qknn	Theoretical Distribution of Nearest Neighbour Distance
qmixpois	Mixed Poisson Distribution
qpakes	Pakes distribution
quadratresample	Resample a Point Pattern by Resampling Quadrats

-- R --

rags	Alternating Gibbs Sampler for Multitype Point Processes
ragsAreaInter	Alternating Gibbs Sampler for Area-Interaction Process
ragsMultiHard	Alternating Gibbs Sampler for Multitype Hard Core Process
rCauchy	Simulate Neyman-Scott Point Process with Cauchy cluster kernel
rcell	Simulate Baddeley-Silverman Cell Process
rcellnumber	Generate Random Numbers of Points for Cell Process
rclusterBKBC	Simulate Cluster Process using Brix-Kendall Algorithm or Modifications
rDGS	Perfect Simulation of the Diggle-Gates-Stibbard Process
rDiggleGratton	Perfect Simulation of the Diggle-Gratton Process
reach	Interaction Distance of a Point Process Model
reach.rmhmodel	Interaction Distance of a Point Process Model
recipEnzpois	First Reciprocal Moment of the Truncated Poisson Distribution
rGaussPoisson	Simulate Gauss-Poisson Process
rHardcore	Perfect Simulation of the Hardcore Process
rjitter.psp	Random Perturbation of Line Segment Pattern
rknn	Theoretical Distribution of Nearest Neighbour Distance
rlabel	Random Re-Labelling of Point Pattern
rLGCP	Simulate Log-Gaussian Cox Process
rMatClust	Simulate Matern Cluster Process
rMaternI	Simulate Matern Model I
rMaternII	Simulate Matern Model II
rmh	Simulate point patterns using the Metropolis-Hastings algorithm.
rmh.default	Simulate Point Process Models using the Metropolis-Hastings Algorithm.
rmhcontrol	Set Control Parameters for Metropolis-Hastings Algorithm.
rmhcontrol.default	Set Control Parameters for Metropolis-Hastings Algorithm.
rmhexpand	Specify Simulation Window or Expansion Rule
rmhmodel	Define Point Process Model for Metropolis-Hastings Simulation.
rmhmodel.default	Build Point Process Model for Metropolis-Hastings Simulation.
rmhmodel.list	Define Point Process Model for Metropolis-Hastings Simulation.
rmhstart	Determine Initial State for Metropolis-Hastings Simulation.
rmhstart.default	Determine Initial State for Metropolis-Hastings Simulation.
rmixpois	Mixed Poisson Distribution
rMosaicField	Mosaic Random Field
rMosaicSet	Mosaic Random Set
rmpoint	Generate N Random Multitype Points
rmpoispp	Generate Multitype Poisson Point Pattern
rNeymanScott	Simulate Neyman-Scott Process
rnoise	Random Pixel Noise
rpakes	Pakes distribution
rPenttinen	Perfect Simulation of the Penttinen Process
rpoint	Generate N Random Points
rpoisline	Generate Poisson Random Line Process
rpoislinetess	Poisson Line Tessellation
rpoisnonzero	Random Values from the Truncated Poisson Distribution
rpoispp	Generate Poisson Point Pattern
rpoispp3	Generate Poisson Point Pattern in Three Dimensions
rpoisppOnLines	Generate Poisson Point Pattern on Line Segments
rpoisppx	Generate Poisson Point Pattern in Any Dimensions
rPoissonCluster	Simulate Poisson Cluster Process
rpoistrunc	Random Values from the Truncated Poisson Distribution
rPSNCP	Simulate Product Shot-noise Cox Process
rshift	Random Shift
rshift.ppp	Randomly Shift a Point Pattern
rshift.psp	Randomly Shift a Line Segment Pattern
rshift.splitppp	Randomly Shift a List of Point Patterns
rSSI	Simulate Simple Sequential Inhibition
rstrat	Simulate Stratified Random Point Pattern
rStrauss	Perfect Simulation of the Strauss Process
rStraussHard	Perfect Simulation of the Strauss-Hardcore Process
rtemper	Simulated Annealing or Simulated Tempering for Gibbs Point Processes
rthin	Random Thinning
rthinclumps	Random Thinning of Clumps
rThomas	Simulate Thomas Process
runifdisc	Generate N Uniform Random Points in a Disc
runifpoint	Generate N Uniform Random Points
runifpoint3	Generate N Uniform Random Points in Three Dimensions
runifpointOnLines	Generate N Uniform Random Points On Line Segments
runifpointx	Generate N Uniform Random Points in Any Dimensions
rVarGamma	Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

-- S --

spatstat.random

The spatstat.random Package

-- U --

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

-- W --

will.expand	Test Expansion Rule
Window.rmhmodel	Extract Window of Spatial Object