# spatstat v1.23-0

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## Spatial Point Pattern analysis, model-fitting, simulation, tests

A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns, and space-time point
patterns in any number of dimensions. Contains over 1000
functions for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Exploratory methods include K-functions, nearest
neighbour distance and empty space statistics, Fry plots, pair
correlation function, kernel smoothed intensity, relative risk
estimation with cross-validated bandwidth selection, mark
correlation functions, segregation indices, mark dependence
diagnostics etc. Point process models can be fitted to point
pattern data using functions ppm, kppm, slrm similar to glm.
Models may include dependence on covariates, interpoint
interaction, cluster formation and dependence on marks. Fitted
models can be simulated automatically. Also provides facilities
for formal inference (such as chi-squared tests) and model
diagnostics (including simulation envelopes, residuals,
residual plots and Q-Q plots).

## Functions in spatstat

Name | Description | |

rshift | Random Shift | |

rpoispp | Generate Poisson Point Pattern | |

runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |

shapley | Galaxies in the Shapley Supercluster | |

rthin | Random Thinning | |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

shift.owin | Apply Vector Translation To Window | |

rsyst | Simulate systematic random point pattern | |

Softcore | The Soft Core Point Process Model | |

Extract.psp | Extract Subset of Line Segment Pattern | |

runifdisc | Generate N Uniform Random Points in a Disc | |

angles.psp | Orientation Angles of Line Segments | |

bdist.pixels | Distance to Boundary of Window | |

betacells | Beta Ganglion Cells in Cat Retina | |

spatstat-internal | Internal spatstat functions | |

simdat | Simulated Point Pattern | |

square | Square Window | |

summary.quad | Summarizing a Quadrature Scheme | |

urkiola | Urkiola Woods Point Pattern | |

varblock | Estimate Variance of Summary Statistic by Subdivision | |

rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |

whist | Weighted Histogram | |

runifpointOnLines | Generate N Uniform Random Points On Line Segments | |

summary.ppp | Summary of a Point Pattern Dataset | |

area.owin | Area of a Window | |

AreaInter | The Area Interaction Point Process Model | |

DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model | |

SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |

contour.im | Contour plot of pixel image | |

Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |

Jmulti | Marked J Function | |

Gest | Nearest Neighbour Distance Function G | |

rpoint | Generate N Random Points | |

Jdot | Multitype J Function (i-to-any) | |

rshift.ppp | Randomly Shift a Point Pattern | |

diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |

Jcross | Multitype J Function (i-to-j) | |

unique.ppp | Extract Unique Points from a Spatial Point Pattern | |

compatible.fv | Test Whether Two Function Objects Are Compatible | |

summary.im | Summarizing a Pixel Image | |

distmap.owin | Distance Map of Window | |

kppm | Fit Cluster or Cox Point Process Model | |

crossing.psp | Crossing Points of Two Line Segment Patterns | |

simplify.owin | Approximate a Polygon by a Simpler Polygon | |

spokes | Spokes pattern of dummy points | |

rpoislpp | Poisson Point Process on a Linear Network | |

rshift.psp | Randomly Shift a Line Segment Pattern | |

swedishpines | Swedish Pines Point Pattern | |

rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |

setcov | Set Covariance of a Window | |

summary.owin | Summary of a Spatial Window | |

rpoislinetess | Poisson Line Tessellation | |

smooth.msr | Smooth a Signed or Vector-Valued Measure | |

PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |

vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |

anova.ppm | ANOVA for Fitted Point Process Models | |

scaletointerval | Rescale Data to Lie Between Specified Limits | |

longleaf | Longleaf Pines Point Pattern | |

areaGain | Difference of Disc Areas | |

Fiksel | The Fiksel Interaction | |

Poisson | Poisson Point Process Model | |

MultiHard | The Multitype Hard Core Point Process Model | |

Kinhom | Inhomogeneous K-function | |

affine | Apply Affine Transformation | |

Gfox | Foxall's Distance Functions | |

tiles | Extract List of Tiles in a Tessellation | |

box3 | Three-Dimensional Box | |

Extract.splitppp | Extract or Replace Sub-Patterns | |

shift.ppp | Apply Vector Translation To Point Pattern | |

complement.owin | Take Complement of a Window | |

as.polygonal | Convert a Window to a Polygonal Window | |

smooth.ppp | Spatial smoothing of observations at irregular points | |

Kmeasure | Reduced Second Moment Measure | |

Kest | K-function | |

anova.slrm | Analysis of Deviance for Spatial Logistic Regression Models | |

affine.psp | Apply Affine Transformation To Line Segment Pattern | |

DiggleGratton | Diggle-Gratton model | |

corners | Corners of a rectangle | |

Kcross | Multitype K Function (Cross-type) | |

superimpose | Superimpose Several Geometric Patterns | |

crossdist.default | Pairwise distances between two different sets of points | |

as.box3 | Convert Data to Three-Dimensional Box | |

Extract.tess | Extract or Replace Subset of Tessellation | |

blur | Apply Gaussian Blur to a Pixel Image | |

density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |

methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |

diameter.boxx | Geometrical Calculations for Multi-Dimensional Box | |

selfcrossing.psp | Crossing Points in a Line Segment Pattern | |

dilation | Morphological Dilation | |

gridcentres | Rectangular grid of points | |

crossdist.psp | Pairwise distances between two different line segment patterns | |

Geyer | Geyer's Saturation Point Process Model | |

LennardJones | The Lennard-Jones Potential | |

hist.im | Histogram of Pixel Values in an Image | |

summary.listof | Summary of a List of Things | |

convexhull.xy | Convex Hull of Points | |

bounding.box | Bounding Box of a Window or Point Pattern | |

as.psp | Convert Data To Class psp | |

update.ppm | Update a Fitted Point Process Model | |

Kscaled | Locally Scaled K-function | |

coords | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern | |

Strauss | The Strauss Point Process Model | |

msr | Signed or Vector-Valued Measure | |

density.ppp | Kernel Smoothed Intensity of Point Pattern | |

ord.family | Ord Interaction Process Family | |

Linhom | L-function | |

duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |

cut.ppp | Classify Points in a Point Pattern | |

as.interact | Extract Interaction Structure | |

by.im | Apply Function to Image Broken Down by Factor | |

summary.psp | Summary of a Line Segment Pattern Dataset | |

Saturated | Saturated Pairwise Interaction model | |

dirichlet | Dirichlet Tessellation of Point Pattern | |

Jest | Estimate the J-function | |

is.ppm | Test Whether An Object Is A Fitted Point Process Model | |

plot.pp3 | Plot a three-dimensional point pattern | |

markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |

pixellate.ppp | Convert Point Pattern to Pixel Image | |

Extract.fv | Extract Subset of Function Values | |

allstats | Calculate four standard summary functions of a point pattern. | |

endpoints.psp | Endpoints of Line Segment Pattern | |

data.ppm | Extract Original Data from a Fitted Point Process Model | |

Fest | Estimate the empty space function F | |

K3est | K-function of a Three-Dimensional Point Pattern | |

crossdist | Pairwise distances | |

amacrine | Hughes' Amacrine Cell Data | |

affine.ppp | Apply Affine Transformation To Point Pattern | |

disc | Circular Window | |

G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |

Kest.fft | K-function using FFT | |

effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |

rotate.ppp | Rotate a Point Pattern | |

expand.owin | Expand Window By Factor | |

fv.object | Function Value Table | |

eem | Exponential Energy Marks | |

marks | Marks of a Point Pattern | |

diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |

rotate | Rotate | |

eval.fv | Evaluate Expression Involving Functions | |

MultiStrauss | The Multitype Strauss Point Process Model | |

as.im | Convert to Pixel Image | |

harmonic | Basis for Harmonic Functions | |

concatxy | Concatenate x,y Coordinate Vectors | |

mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image | |

intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |

intersect.tess | Intersection of Two Tessellations | |

eval.fasp | Evaluate Expression Involving Function Arrays | |

hyperframe | Hyper Data Frame | |

solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |

boxx | Multi-Dimensional Box | |

is.marked.ppm | Test Whether A Point Process Model is Marked | |

Lest | L-function | |

bei | Tropical rain forest trees | |

letterR | Window in Shape of Letter R | |

ppp | Create a Point Pattern | |

bw.stoyan | Stoyan's Rule of Thumb for Bandwidth Selection | |

OrdThresh | Ord's Interaction model | |

cells | Biological Cells Point Pattern | |

is.ppp | Test Whether An Object Is A Point Pattern | |

split.ppp | Divide Point Pattern into Sub-patterns | |

closing | Morphological Closing | |

is.owin | Test Whether An Object Is A Window | |

diameter.owin | Diameter of a Window | |

istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |

lengths.psp | Lengths of Line Segments | |

ants | Harkness-Isham ants' nests data | |

marks.psp | Marks of a Line Segment Pattern | |

as.matrix.im | Convert Pixel Image to Matrix or Array | |

model.matrix.ppm | Extract Design Matrix from Point Process Model | |

japanesepines | Japanese Pines Point Pattern | |

linearKinhom | Inhomogeneous Linear K Function | |

qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |

is.stationary | Recognise Stationary and Poisson Point Process Models | |

as.data.frame.hyperframe | Coerce Hyperframe to Data Frame | |

spatstat.options | Internal Options in Spatstat Package | |

runiflpp | Uniform Random Points on a Linear Network | |

persp.im | Perspective Plot of Pixel Image | |

bdist.tiles | Distance to Boundary of Window | |

rotate.owin | Rotate a Window | |

heather | Diggle's Heather Data | |

simplenet | Simple Example of Linear Network | |

redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |

as.rectangle | Window Frame | |

distmap | Distance Map | |

linearK | Linear K Function | |

perimeter | Perimeter Length of Window | |

deltametric | Delta Metric | |

quadratcount | Quadrat counting for a point pattern | |

linearpcfinhom | Inhomogeneous Linear Pair Correlation Function | |

chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |

plot.fv | Plot Function Values | |

rescale.im | Convert Pixel Image to Another Unit of Length | |

copper | Berman-Huntington points and lines data | |

as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |

clarkevans.test | Clark and Evans Test | |

plot.msr | Plot a Signed or Vector-Valued Measure | |

eval.im | Evaluate Expression Involving Pixel Images | |

rpoisline | Generate Poisson Random Line Process | |

methods.lpp | Methods for Point Patterns on a Linear Network | |

coef.ppm | Coefficients of Fitted Point Process Model | |

union.quad | Union of Data and Dummy Points | |

crossdist.ppp | Pairwise distances between two different point patterns | |

bramblecanes | Hutchings' Bramble Canes data | |

plot.im | Plot a Pixel Image | |

runifpoint | Generate N Uniform Random Points | |

nnwhich.pp3 | Nearest neighbours in three dimensions | |

plot.bermantest | Plot Result of Berman Test | |

erosion | Morphological Erosion | |

suffstat | Sufficient Statistic of Point Process Model | |

fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |

pairdist.psp | Pairwise distances between line segments | |

im.object | Class of Images | |

lineardisc | Compute Disc of Given Radius in Linear Network | |

plot.kppm | Plot a fitted cluster point process | |

unmark | Remove Marks | |

plot.linim | Plot Pixel Image on Linear Network | |

default.dummy | Generate a Default Pattern of Dummy Points | |

slrm | Spatial Logistic Regression | |

rcell | Simulate Baddeley-Silverman Cell Process | |

markconnect | Mark Connection Function | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

incircle | Find Largest Circle Inside Window | |

bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation | |

thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast | |

simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |

residuals.ppm | Residuals for Fitted Point Process Model | |

nnwhich | Nearest neighbour | |

diameter | Diameter of an Object | |

methods.rhohat | Methods for Intensity Functions of Spatial Covariate | |

compareFit | Residual Diagnostics for Multiple Fitted Models | |

model.images | Compute Images of Constructed Covariates | |

plot.quad | plot a Spatial Quadrature Scheme | |

plot.listof | Plot a List of Things | |

inforder.family | Infinite Order Interaction Family | |

gpc2owin | Convert Polygonal Region into Different Format | |

pcf.fasp | Pair Correlation Function obtained from array of K functions | |

Extract.ppp | Extract or Replace Subset of Point Pattern | |

linim | Create Pixel Image on Linear Network | |

fv | Create a Function Value Table | |

vcov.kppm | Variance-Covariance Matrix for a Fitted Cluster Point Process Model | |

nncross | Nearest Neighbours Between Two Patterns | |

rGaussPoisson | Simulate Gauss-Poisson Process | |

pairwise.family | Pairwise Interaction Process Family | |

npoints | Number of Points in a Point Pattern | |

is.marked.ppp | Test Whether A Point Pattern is Marked | |

BadGey | Hybrid Geyer Point Process Model | |

lpp | Create Point Pattern on Linear Network | |

discretise | Safely Convert Point Pattern Window to Binary Mask | |

midpoints.psp | Midpoints of Line Segment Pattern | |

pairs.im | Scatterplot Matrix for Pixel Images | |

F3est | Empty Space Function of a Three-Dimensional Point Pattern | |

murchison | Murchison gold deposits | |

pcfinhom | Inhomogeneous Pair Correlation Function | |

predict.lppm | Predict Point Process Model on Linear Network | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

linnet | Create a Linear Network | |

Extract.quad | Subset of Quadrature Scheme | |

nndist.psp | Nearest neighbour distances between line segments | |

latest.news | Print News About Latest Version of Package | |

as.mask | Pixel Image Approximation of a Window | |

pairdist.default | Pairwise distances | |

pcf | Pair Correlation Function | |

rLGCP | Simulate Log-Gaussian Cox Process | |

progressreport | Print Progress Reports | |

quadrats | Divide Region into Quadrats | |

nndist.ppx | Nearest Neighbour Distances in Any Dimensions | |

with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |

logLik.ppm | Log Likelihood and AIC for Point Process Model | |

rgbim | Create Colour-Valued Pixel Image | |

methods.kppm | Methods for Cluster Point Process Models | |

envelope.lpp | Envelope for Point Patterns on Linear Network | |

which.max.im | Identify Pixelwise Maximum of Several Pixel Images | |

cut.im | Convert Pixel Image from Numeric to Factor | |

pcf3est | Pair Correlation Function of a Three-Dimensional Point Pattern | |

ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |

quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

rMosaicField | Mosaic Random Field | |

plot.fasp | Plot a Function Array | |

is.convex | Test Whether a Window is Convex | |

Kcom | Model Compensator of K Function | |

nndist | Nearest neighbour distances | |

pcf.ppp | Pair Correlation Function of Point Pattern | |

bind.fv | Combine Function Value Tables | |

iplot | Point and Click Interface for Displaying a Point Pattern | |

rMaternI | Simulate Matern Model I | |

anemones | Beadlet Anemones Data | |

pp3 | Three Dimensional Point Pattern | |

rMaternII | Simulate Matern Model II | |

rescue.rectangle | Convert Window Back To Rectangle | |

is.im | Test Whether An Object Is A Pixel Image | |

is.multitype | Test whether Object is Multitype | |

identify.ppp | Identify Points in a Point Pattern | |

Pairwise | Generic Pairwise Interaction model | |

bronzefilter | Bronze gradient filter data | |

print.quad | Print a Quadrature Scheme | |

print.ppm | Print a Fitted Point Process Model | |

pixellate.owin | Convert Window to Pixel Image | |

rMosaicSet | Mosaic Random Set | |

pixelquad | Quadrature Scheme Based on Pixel Grid | |

distfun | Distance Map as a Function | |

ppm.object | Class of Fitted Point Process Models | |

raster.x | Cartesian Coordinates for a Pixel Raster | |

pcfcross | Multitype pair correlation function (cross-type) | |

as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |

markvario | Mark Variogram | |

lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |

localpcf | Local pair correlation function | |

clarkevans | Clark and Evans Aggregation Index | |

pppdist | Distance Between Two Point Patterns | |

im | Create a Pixel Image Object | |

psp | Create a Line Segment Pattern | |

project2segment | Move Point To Nearest Line | |

rescale.ppp | Convert Point Pattern to Another Unit of Length | |

periodify | Make Periodic Copies of a Spatial Pattern | |

ripras | Estimate window from points alone | |

rSSI | Simulate Simple Sequential Inhibition | |

coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model | |

integral.im | Integral of a Pixel Image | |

plot.plotppm | Plot a plotppm Object Created by plot.ppm | |

print.owin | Print Brief Details of a Spatial Window | |

colourtools | Convert and Compare Colours in Different Formats | |

rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |

by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |

ppx | Multidimensional Space-Time Point Pattern | |

bdist.points | Distance to Boundary of Window | |

nztrees | New Zealand Trees Point Pattern | |

pppmatching.object | Class of Point Matchings | |

matchingdist | Distance for a Point Pattern Matching | |

marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |

quantile.im | Sample Quantiles of Pixel Image | |

sharpen | Data Sharpening of Point Pattern | |

rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |

rThomas | Simulate Thomas Process | |

quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |

miplot | Morishita Index Plot | |

shift.psp | Apply Vector Translation To Line Segment Pattern | |

unitname | Name for Unit of Length | |

chorley | Chorley-Ribble Cancer Data | |

nnclean | Nearest Neighbour Clutter Removal | |

compatible.fasp | Test Whether Two Function Arrays Are Compatible | |

rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |

reach | Interaction Distance of a Point Process | |

redwood | California Redwoods Point Pattern (Ripley's Subset) | |

print.ppp | Print Brief Details of a Point Pattern Dataset | |

delaunay | Delaunay Triangulation of Point Pattern | |

fryplot | Fry Plot of Point Pattern | |

pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |

dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |

pairdist | Pairwise distances | |

rshift.splitppp | Randomly Shift a List of Point Patterns | |

rknn | Theoretical Distribution of Nearest Neighbour Distance | |

discpartarea | Area of Part of Disc | |

methods.linnet | Methods for Linear Networks | |

plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |

volume | Volume of an Object | |

finpines | Pine saplings in Finland. | |

ppp.object | Class of Point Patterns | |

rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |

shift | Apply Vector Translation | |

shift.im | Apply Vector Translation To Pixel Image | |

ponderosa | Ponderosa Pine Tree Point Pattern | |

as.function.fv | Convert Function Value Table to Function | |

predict.ppm | Prediction from a Fitted Point Process Model | |

identify.psp | Identify Segments in a Line Segment Pattern | |

rlinegrid | Generate grid of parallel lines with random displacement | |

gridweights | Compute Quadrature Weights Based on Grid Counts | |

pixellate | Convert Spatial Object to Pixel Image | |

plot.colourmap | Plot a Colour Map | |

Hest | Spherical Contact Distribution Function | |

Extract.listof | Extract or Replace Subset of a List of Things | |

levelset | Level Set of a Pixel Image | |

pairsat.family | Saturated Pairwise Interaction Point Process Family | |

is.marked | Test Whether Marks Are Present | |

Gcom | Model Compensator of Nearest Neighbour Function | |

plot.linnet | Plot a linear network | |

spatstat-deprecated | Deprecated spatstat functions | |

vertices | Vertices of a Window | |

methods.distfun | Methods for Distance Functions | |

ppm | Fit Point Process Model to Data | |

nndist.pp3 | Nearest neighbour distances in three dimensions | |

Kcross.inhom | Inhomogeneous Cross K Function | |

Gres | Residual G Function | |

psp.object | Class of Line Segment Patterns | |

lurking | Lurking variable plot | |

Kres | Residual K Function | |

pairdist.ppp | Pairwise distances | |

plot.splitppp | Plot a List of Point Patterns | |

pointsOnLines | Place Points Evenly Along Specified Lines | |

as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |

spruces | Spruces Point Pattern | |

applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |

plot.ppp | plot a Spatial Point Pattern | |

with.fv | Evaluate an Expression in a Function Table | |

predict.kppm | Prediction from a Fitted Cluster Point Process Model | |

smooth.fv | Apply Smoothing to Function Values | |

quadscheme | Generate a Quadrature Scheme from a Point Pattern | |

Kdot | Multitype K Function (i-to-any) | |

clickjoin | Interactively join vertices on a plot | |

bermantest | Berman's Tests for Point Process Model | |

psst | Pseudoscore Diagnostic For Fitted Model against General Alternative | |

psstA | Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative | |

Gmulti | Marked Nearest Neighbour Distance Function | |

quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |

relrisk | Nonparametric Estimate of Spatially-Varying Relative Risk | |

colourmap | Colour Lookup Tables | |

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

StraussHard | The Strauss / Hard Core Point Process Model | |

clip.infline | Intersect Infinite Straight Lines with a Window | |

affine.owin | Apply Affine Transformation To Window | |

cbind.hyperframe | Combine Hyperframes by Rows or by Columns | |

model.frame.ppm | Extract the Environment of a Point Process Model | |

circumradius | Circumradius and Diameter of a Linear Network | |

crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |

rlabel | Random Re-Labelling of Point Pattern | |

rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |

Kmodel | K function of a model | |

distmap.psp | Distance Map of Line Segment Pattern | |

as.tess | Convert Data To Tessellation | |

fitted.slrm | Fitted Probabilities for Spatial Logistic Regression | |

connected | Connected components of an image or window | |

formula.ppm | Model Formulae for Gibbs Point Process Models | |

distmap.ppp | Distance Map of Point Pattern | |

compatible.im | Test Whether Two Pixel Images Are Compatible | |

default.expand | Compute Expansion Window for Simulation | |

is.subset.owin | Determine Whether One Window is Contained In Another | |

eroded.areas | Areas of Morphological Erosions | |

dilated.areas | Areas of Morphological Dilations | |

hamster | Aherne's hamster tumour data | |

infline | Infinite Straight Lines | |

logLik.slrm | Loglikelihood of Spatial Logistic Regression | |

fitted.ppm | Fitted Conditional Intensity for Point Process Model | |

mincontrast | Method of Minimum Contrast | |

nearestsegment | Find Line Segment Nearest to Each Point | |

pairdist.lpp | Pairwise shortest-path distances between points on a linear network | |

methods.boxx | Methods for Multi-Dimensional Box | |

markcorrint | Mark Correlation Integral | |

matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation | |

pairdist.ppx | Pairwise Distances in Any Dimensions | |

pcf.fv | Pair Correlation Function obtained from K Function | |

plot.envelope | Plot a Simulation Envelope | |

pairdist.pp3 | Pairwise distances in Three Dimensions | |

npfun | Dummy Function Returns Number of Points | |

rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |

plot.owin | Plot a Spatial Window | |

rjitter | Random Perturbation of a Point Pattern | |

rStrauss | Perfect Simulation of the Strauss Process | |

rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |

rescale | Convert dataset to another unit of length | |

owin.object | Class owin | |

plot.hyperframe | Plot Entries in a Hyperframe | |

plot.ppm | plot a Fitted Point Process Model | |

predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression | |

localK | Neighbourhood density function | |

rMatClust | Simulate Matern Cluster Process | |

rescale.owin | Convert Window to Another Unit of Length | |

psstG | Pseudoscore Diagnostic For Fitted Model against Saturation Alternative | |

rmh.ppm | Simulate from a Fitted Point Process Model | |

rmpoispp | Generate Multitype Poisson Point Pattern | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

rstrat | Simulate Stratified Random Point Pattern | |

scanpp | Read Point Pattern From Data File | |

summary.ppm | Summarizing a Fitted Point Process Model | |

update.kppm | Update a Fitted Cluster Point Process Model | |

trim.rectangle | Cut margins from rectangle | |

tess | Create a Tessellation | |

Extract.im | Extract Subset of Image | |

Lcross | Multitype L-function (cross-type) | |

Ord | Generic Ord Interaction model | |

clickpoly | Interactively Define a Polygon | |

default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings Algorithm. | |

crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns | |

interp.im | Interpolate a Pixel Image | |

is.multitype.ppm | Test Whether A Point Process Model is Multitype | |

lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |

markcorr | Mark Correlation Function | |

linearpcf | Linear Pair Correlation Function | |

nearest.raster.point | Find Pixel Nearest to a Given Point | |

owin | Create a Window | |

reduced.sample | Reduced Sample Estimator using Histogram Data | |

rhohat | Smoothing Estimate of Covariate Transformation | |

plot.psp | plot a Spatial Line Segment Pattern | |

rmpoint | Generate N Random Multitype Points | |

spatstat-package | The Spatstat Package | |

zapsmall.im | Rounding of Pixel Values | |

Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |

MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |

Replace.im | Reset Values in Subset of Image | |

anova.lppm | ANOVA for Fitted Point Process Models on Linear Network | |

alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |

bounding.box.xy | Convex Hull of Points | |

centroid.owin | Centroid of a window | |

Hardcore | The Hard Core Point Process Model | |

clickppp | Interactively Add Points | |

append.psp | Combine Two Line Segment Patterns | |

envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |

fasp.object | Function Arrays for Spatial Patterns | |

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

is.multitype.ppp | Test Whether A Point Pattern is Multitype | |

kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |

lansing | Lansing Woods Point Pattern | |

methods.lppm | Methods for Fitted Point Process Models on a Linear Network | |

nnwhich.ppx | Nearest Neighbours in Any Dimensions | |

nsegments | Number of Line Segments in a Line Segment Pattern | |

osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns | |

pppmatching | Create a Point Matching | |

print.im | Print Brief Details of an Image | |

profilepl | Profile Maximum Pseudolikelihood | |

is.empty | Test Whether An Object Is Empty | |

lppm | Fit Point Process Model to Point Pattern on Linear Network | |

runifpointx | Generate N Uniform Random Points in Any Dimensions | |

simulate.kppm | Simulate a Fitted Cluster Point Process Model | |

split.im | Divide Image Into Sub-images | |

summary.splitppp | Summary of a Split Point Pattern | |

Extract.msr | Extract Subset of Signed or Vector Measure | |

Kmulti | Marked K-Function | |

Extract.fasp | Extract Subset of Function Array | |

adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |

areaLoss | Difference of Disc Areas | |

as.hyperframe | Convert Data to Hyperframe | |

as.data.frame.im | Convert Pixel Image to Data Frame | |

as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |

as.ppp | Convert Data To Class ppp | |

border | Border Region of a Window | |

chicago | Chicago Street Crime Data | |

ewcdf | Weighted Empirical Cumulative Distribution Function | |

flu | Influenza Virus Proteins | |

km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |

kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |

demopat | Artificial Data Point Pattern | |

matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |

methods.box3 | Methods for Three-Dimensional Box | |

methods.pp3 | Methods for three-dimensional point patterns | |

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

opening | Morphological Opening | |

envelope | Simulation Envelopes of Summary Function | |

pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |

plot.tess | Plot a tessellation | |

print.psp | Print Brief Details of a Line Segment Pattern Dataset | |

quad.object | Class of Quadrature Schemes | |

rNeymanScott | Simulate Neyman-Scott Process | |

residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |

as.owin | Convert Data To Class owin | |

Emark | Diagnostics for random marking | |

Ldot | Multitype L-function (i-to-any) | |

Iest | Estimate the I-function | |

collapse.fv | Collapse Several Function Tables into One | |

convexhull | Convex Hull | |

dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |

density.psp | Kernel Smoothing of Line Segment Pattern | |

inside.owin | Test Whether Points Are Inside A Window | |

plot.slrm | Plot a Fitted Spatial Logistic Regression | |

pcfdot | Multitype pair correlation function (i-to-any) | |

nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |

pixellate.psp | Convert Line Segment Pattern to Pixel Image | |

rotate.psp | Rotate a Line Segment Pattern | |

tile.areas | Compute Areas of Tiles in a Tessellation | |

thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |

lut | Lookup Tables | |

No Results! |

## Last month downloads

## Details

Date | 2011-07-24 |

License | GPL (>= 2) |

URL | http://www.spatstat.org |

Packaged | 2011-07-24 10:25:07 UTC; adrian |

Repository | CRAN |

Date/Publication | 2011-07-24 14:28:01 |

depends | base (>= 2.13.0) , deldir (>= 0.0-10) , graphics , mgcv , R (>= 2.13.0) , stats , utils |

suggests | gpclib , maptools , RandomFields (>= 2.0) , rpanel , scatterplot3d , sm , spatial , tkrplot |

Contributors | Rolf Turner, Adrian Baddeley |

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