Random Generation Functionality for the 'spatstat' Family

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Documentation for package ‘spatstat.random’ version 2.2-0

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spatstat.random-package The spatstat.random Package
as.owin.rmhmodel Convert Data To Class owin
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
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
expand.owin Apply Expansion Rule
gauss.hermite Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
indefinteg Indefinite Integral
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
pknn Theoretical Distribution of Nearest Neighbour Distance
pmixpois Mixed Poisson Distribution
qknn Theoretical Distribution of Nearest Neighbour Distance
qmixpois Mixed Poisson Distribution
quadratresample Resample a Point Pattern by Resampling Quadrats
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
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
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
rPenttinen Perfect Simulation of the Penttinen Process
rpoint Generate N Random Points
rpoisline Generate Poisson Random Line Process
rpoislinetess Poisson Line Tessellation
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
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
spatstat.random The spatstat.random Package
update.rmhcontrol Update Control Parameters of Metropolis-Hastings Algorithm
will.expand Test Expansion Rule
Window.rmhmodel Extract Window of Spatial Object