Package: spatstat.random 3.3-1.001

Adrian Baddeley

spatstat.random: Random Generation Functionality for the 'spatstat' Family

Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.

Authors:Adrian Baddeley [aut, cre, cph], Rolf Turner [aut, cph], Ege Rubak [aut, cph], Tilman Davies [aut, cph], Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb, cph], Rasmus Plenge Waagepetersen [ctb, cph]

# Install 'spatstat.random' in R:

install.packages('spatstat.random', repos = c('https://spatstat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/spatstat/spatstat.random/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

point-processes random-generation simulation spatial-sampling spatial-simulation

165 exports 4 stars 8.61 score 8 dependencies 161 dependents 172 mentions 48.9k downloads

Last updated 2 days agofrom:3499b19736

Exports:as.owin.rmhmodel change.default.expand clusterfield clusterfield.character clusterfield.function clusterkernel clusterkernel.character clusterradius clusterradius.character datagen.rpoisppOnLines datagen.runifpointOnLines datagen.runifpoisppOnLines default.clipwindow default.expand default.rmhcontrol detect.par.format dknn dmixpois domain.rmhmodel dpakes expand.owin expandwinPerfect fakeNeyScot gauss.hermite getRandomFieldsModelGen handle.rshift.args HermiteCoefs is.cadlag is.expandable is.expandable.rmhmodel is.poisson is.poisson.rmhmodel is.stationary is.stationary.rmhmodel kraever kraeverRandomFields MultiPair.checkmatrix optimalinflation pknn pmixpois ppakes print.rmhcontrol print.rmhexpand print.rmhInfoList print.rmhmodel print.rmhstart print.summary.rmhexpand qknn qmixpois qpakes quadratresample rags ragsAreaInter ragsMultiHard RandomFieldsSafe rCauchy rCauchyHom rcell rcellnumber rclusterBKBC rDGS rDiggleGratton reach reach.rmhmodel recipEnzpois reheat resolve.vargamma.shape retrieve.param rGaussPoisson rGRFcircembed rGRFexpo rGRFgauss rGRFgencauchy rGRFmatern rGRFstable rHardcore rjitter.psp rknn rlabel rLGCP rMatClust rMatClustHom rMaternI rMaternII rMaternInhibition rmh rmh.default rmhcontrol rmhcontrol.default rmhcontrol.list rmhcontrol.rmhcontrol rmhEngine rmhexpand RmhExpandRule rmhmodel rmhmodel.default rmhmodel.list rmhmodel.rmhmodel rmhResolveControl rmhResolveExpansion rmhResolveTypes rmhsnoop rmhSnoopEnv rmhstart rmhstart.default rmhstart.list rmhstart.rmhstart rmixpois rMosaicField rMosaicSet rmpoint rmpoint.I.allim rmpoispp rNeymanScott rnoise rpakes rPenttinen rpoint rpoint.multi rpoisline rpoislinetess rpoisnonzero rpoispp rpoispp3 rpoisppOnLines rpoisppx rPoissonCluster rPoissonClusterEngine rpoistrunc rPSNCP rshift rshift.ppp rshift.psp rshift.splitppp rSSI rstrat rStrauss rStraussHard rtemper rthin rthinclumps rthinEngine rThomas rThomasHom runifdisc runifpoint runifpoint3 runifpointOnLines runifpointx runifpoispp runifpoisppOnLines rVarGamma spatstatClusterModelInfo spatstatClusterSimInfo spatstatClusterSimModelMatch spatstatRmhInfo summarise.trend summary.rmhexpand thinjump thinParents update.rmhcontrol update.rmhstart validate.kappa.mu will.expand Window.rmhmodel

Dependencies:deldir lattice Matrix polyclip spatstat.data spatstat.geom spatstat.univar spatstat.utils

Help page	Topics
The spatstat.random Package	spatstat.random-package spatstat.random
Convert Data To Class owin	as.owin.rmhmodel
Field of clusters	clusterfield clusterfield.character clusterfield.function
Extract Cluster Offspring Kernel	clusterkernel clusterkernel.character
Compute or Extract Effective Range of Cluster Kernel	clusterradius clusterradius.character
Default Expansion Rule for Simulation of Model	default.expand
Set Default Control Parameters for Metropolis-Hastings Algorithm.	default.rmhcontrol
Mixed Poisson Distribution	dmixpois pmixpois qmixpois rmixpois
Extract the Domain of any Spatial Object	domain.rmhmodel
Pakes distribution	dpakes ppakes qpakes rpakes
Apply Expansion Rule	expand.owin
Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution	gauss.hermite
Recognise Stationary and Poisson Point Process Models	is.poisson is.poisson.rmhmodel is.stationary is.stationary.rmhmodel
Resample a Point Pattern by Resampling Quadrats	quadratresample
Alternating Gibbs Sampler for Multitype Point Processes	rags
Alternating Gibbs Sampler for Area-Interaction Process	ragsAreaInter
Alternating Gibbs Sampler for Multitype Hard Core Process	ragsMultiHard
Simulate Neyman-Scott Point Process with Cauchy cluster kernel	rCauchy
Simulate Baddeley-Silverman Cell Process	rcell
Generate Random Numbers of Points for Cell Process	rcellnumber
Simulate Cluster Process using Brix-Kendall Algorithm or Modifications	rclusterBKBC
Perfect Simulation of the Diggle-Gates-Stibbard Process	rDGS
Perfect Simulation of the Diggle-Gratton Process	rDiggleGratton
Interaction Distance of a Point Process Model	reach reach.rmhmodel
First Reciprocal Moment of the Truncated Poisson Distribution	recipEnzpois
Simulate Gauss-Poisson Process	rGaussPoisson
Perfect Simulation of the Hardcore Process	rHardcore
Random Perturbation of Line Segment Pattern	rjitter.psp
Theoretical Distribution of Nearest Neighbour Distance	dknn pknn qknn rknn
Random Re-Labelling of Point Pattern	rlabel
Simulate Log-Gaussian Cox Process	rLGCP
Simulate Matern Cluster Process	rMatClust
Simulate Matern Model I	rMaternI
Simulate Matern Model II	rMaternII
Simulate point patterns using the Metropolis-Hastings algorithm.	rmh
Simulate Point Process Models using the Metropolis-Hastings Algorithm.	rmh.default
Set Control Parameters for Metropolis-Hastings Algorithm.	rmhcontrol rmhcontrol.default
Specify Simulation Window or Expansion Rule	rmhexpand
Define Point Process Model for Metropolis-Hastings Simulation.	rmhmodel
Build Point Process Model for Metropolis-Hastings Simulation.	rmhmodel.default
Define Point Process Model for Metropolis-Hastings Simulation.	rmhmodel.list
Determine Initial State for Metropolis-Hastings Simulation.	rmhstart rmhstart.default
Mosaic Random Field	rMosaicField
Mosaic Random Set	rMosaicSet
Generate N Random Multitype Points	rmpoint
Generate Multitype Poisson Point Pattern	rmpoispp
Simulate Neyman-Scott Process	rNeymanScott
Random Pixel Noise	rnoise
Perfect Simulation of the Penttinen Process	rPenttinen
Generate N Random Points	rpoint
Generate Poisson Random Line Process	rpoisline
Poisson Line Tessellation	rpoislinetess
Generate Poisson Point Pattern	rpoispp
Generate Poisson Point Pattern in Three Dimensions	rpoispp3
Generate Poisson Point Pattern on Line Segments	rpoisppOnLines
Generate Poisson Point Pattern in Any Dimensions	rpoisppx
Simulate Poisson Cluster Process	rPoissonCluster
Random Values from the Truncated Poisson Distribution	rpoisnonzero rpoistrunc
Simulate Product Shot-noise Cox Process	rPSNCP
Random Shift	rshift
Randomly Shift a Point Pattern	rshift.ppp
Randomly Shift a Line Segment Pattern	rshift.psp
Randomly Shift a List of Point Patterns	rshift.splitppp
Simulate Simple Sequential Inhibition	rSSI
Simulate Stratified Random Point Pattern	rstrat
Perfect Simulation of the Strauss Process	rStrauss
Perfect Simulation of the Strauss-Hardcore Process	rStraussHard
Simulated Annealing or Simulated Tempering for Gibbs Point Processes	rtemper
Random Thinning	rthin
Random Thinning of Clumps	rthinclumps
Simulate Thomas Process	rThomas
Generate N Uniform Random Points in a Disc	runifdisc
Generate N Uniform Random Points	runifpoint
Generate N Uniform Random Points in Three Dimensions	runifpoint3
Generate N Uniform Random Points On Line Segments	runifpointOnLines
Generate N Uniform Random Points in Any Dimensions	runifpointx
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel	rVarGamma
Update Control Parameters of Metropolis-Hastings Algorithm	update.rmhcontrol
Test Expansion Rule	will.expand
Extract Window of Spatial Object	Window.rmhmodel

Package: spatstat.random 3.3-1.001

spatstat.random: Random Generation Functionality for the 'spatstat' Family

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