# spatstat v1.19-2

Monthly downloads

## 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 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. Point process models can be fitted to point
pattern data. Cluster type models are fitted by the method of
minimum contrast. Very general Gibbs point process models can
be fitted to point pattern data using a function ppm similar to
lm or glm. Models may include dependence on covariates,
interpoint interaction 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 | |

Fiksel | The Fiksel Interaction | |

Gmulti | Marked Nearest Neighbour Distance Function | |

DiggleGratton | Diggle-Gratton model | |

Gfox | Foxall's Distance Functions | |

Iest | Estimate the I-function | |

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

Hest | Spherical Contact Distribution Function | |

areaGain | Difference of Disc Areas | |

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

Saturated | Saturated Pairwise Interaction model | |

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

as.tess | Convert Data To Tessellation | |

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

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

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

Kinhom | Inhomogeneous K-function | |

bdist.points | Distance to Boundary of Window | |

Kest | K-function | |

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

bei | Tropical rain forest trees | |

Strauss | The Strauss Point Process Model | |

boxx | Multi-Dimensional Box | |

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

demopat | Artificial Data Point Pattern | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

Extract.fasp | Extract Subset of Function Array | |

anemones | Beadlet Anemones Data | |

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

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

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

Extract.im | Extract Subset of Image | |

Kest.fft | K-function using FFT | |

as.owin | Convert Data To Class owin | |

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

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

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

Kmeasure | Reduced Second Moment Measure | |

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

bdist.pixels | Distance to Boundary of Window | |

clickppp | Interactively Add Points | |

hamster | Aherne's hamster tumour data | |

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

distmap.owin | Distance Map of Window | |

border | Border Region of a Window | |

dilated.areas | Areas of Morphological Dilations | |

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

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

ants | Harkness-Isham ants' nests data | |

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

Softcore | The Soft Core Point Process Model | |

closing | Morphological Closing | |

as.rectangle | Window Frame | |

append.psp | Combine Two Line Segment Patterns | |

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

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

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

area.owin | Area of a Window | |

diameter | Diameter of an Object | |

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

Emark | Diagnostics for random marking | |

Fest | Estimate the empty space function F | |

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

gridweights | Compute Quadrature Weights Based on Grid Counts | |

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

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

areaLoss | Difference of Disc Areas | |

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

AreaInter | The Area Interaction Point Process Model | |

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

bronzefilter | Bronze gradient filter data | |

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

japanesepines | Japanese Pines Point Pattern | |

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

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

colourmap | Colour Lookup Tables | |

as.psp | Convert Data To Class psp | |

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

spatstat-internal | Internal spatstat functions | |

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

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

endpoints.psp | Endpoints of Line Segment Pattern | |

Hardcore | The Hard Core Point Process Model | |

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

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

kppm | Fit cluster point process model | |

Linhom | L-function | |

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

distfun | Distance Map as a Function | |

MultiStrauss | The Multitype Strauss Point Process Model | |

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

Gest | Nearest Neighbour Distance Function G | |

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

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

eem | Exponential Energy Marks | |

gridcentres | Rectangular grid of points | |

as.ppp | Convert Data To Class ppp | |

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

Extract.fv | Extract Subset of Function Values | |

betacells | Beta Ganglion Cells in Cat Retina | |

Pairwise | Generic Pairwise Interaction model | |

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

OrdThresh | Ord's Interaction model | |

BadGey | Hybrid Geyer Point Process Model | |

Jmulti | Marked J Function | |

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

markconnect | Mark Connection Function | |

incircle | Find Largest Circle Inside Window | |

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

dilation | Morphological Dilation | |

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

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

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

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

infline | Infinite Straight Lines | |

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

amacrine | Hughes' Amacrine Cell Data | |

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

box3 | Three-Dimensional Box | |

Kmulti | Marked K-Function | |

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

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

Extract.quad | Subset of Quadrature Scheme | |

lansing | Lansing Woods Point Pattern | |

connected | Connected components of an image or window | |

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

bind.fv | Combine Function Value Tables | |

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

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

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

Kcross.inhom | Inhomogeneous Cross K Function | |

clarkevans | Clark and Evans Aggregation Index | |

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

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

as.hyperframe | Convert Data to Hyperframe | |

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

Geyer | Geyer's Saturation Point Process Model | |

eval.fasp | Evaluate Expression Involving Function Arrays | |

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

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

Jest | Estimate the J-function | |

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

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

distmap | Distance Map | |

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

fasp.object | Function Arrays for Spatial Patterns | |

pairdist.ppx | Pairwise Distances in Any Dimensions | |

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

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

Lest | L-function | |

heather | Diggle's Heather Data | |

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

LennardJones | The Lennard-Jones Potential | |

markvario | Mark Variogram | |

disc | Circular Window | |

expand.owin | Expand Window By Factor | |

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

Ord | Generic Ord Interaction model | |

affine.owin | Apply Affine Transformation To Window | |

lengths.psp | Lengths of Line Segments | |

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

deltametric | Delta Metric | |

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

angles.psp | Orientation Angles of Line Segments | |

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

ppx | Multidimensional Space-Time Point Pattern | |

blur | Apply Gaussian Blur to a Pixel Image | |

psp | Create a Line Segment Pattern | |

crossdist | Pairwise distances | |

concatxy | Concatenate x,y Coordinate Vectors | |

ewcdf | Weighted Empirical Cumulative Distribution Function | |

nnwhich.pp3 | Nearest neighbours in three dimensions | |

convexhull | Convex Hull | |

fv.object | Data Frames of Function Values | |

gpc2owin | Convert Polygonal Region into Different Format | |

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

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

dirichlet | Dirichlet Tessellation of Point Pattern | |

owin.object | Class owin | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

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

copper | Berman-Huntington points and lines data | |

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

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

pairdist.default | Pairwise distances | |

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

harmonic | Basis for Harmonic Functions | |

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

interp.im | Interpolate a Pixel Image | |

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

Poisson | Poisson Point Process Model | |

erosion | Morphological Erosion | |

chorley | Chorley-Ribble Cancer Data | |

affine | Apply Affine Transformation | |

diameter.owin | Diameter of a Window | |

is.multitype | Test whether Object is Multitype | |

nnclean | Nearest Neighbour Clutter Removal | |

rMosaicSet | Mosaic Random Set | |

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

integral.im | Integral of a Pixel Image | |

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

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

marks | Marks of a Point Pattern | |

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

plot.im | Plot a Pixel Image | |

finpines | Pine saplings in Finland. | |

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

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

rcell | Simulate Baddeley-Silverman Cell Process | |

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

convexhull.xy | Convex Hull of Points | |

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

bdist.tiles | Distance to Boundary of Window | |

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

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

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

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

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

progressreport | Print Progress Reports | |

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

delaunay | Delaunay Triangulation of Point Pattern | |

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

is.marked | Test Whether Marks Are Present | |

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

plot.colourmap | Plot a Colour Map | |

localK | Neighbourhood density function | |

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

as.im | Convert to Pixel Image | |

centroid.owin | Centroid of a window | |

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

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

eval.fv | Evaluate Expression Involving Functions | |

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

spatstat-deprecated | Deprecated spatstat functions | |

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

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

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

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

lut | Lookup Tables | |

distmap.ppp | Distance Map of Point Pattern | |

murchison | Murchison gold deposits | |

rknn | Theoretical Distribution of Nearest Neighbour Distance | |

pointsOnLines | Place Points Evenly Along Specified Lines | |

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

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

markcorrint | Mark Correlation Integral | |

rotate.owin | Rotate a Window | |

pairdist.ppp | Pairwise distances | |

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

markcorr | Mark Correlation Function | |

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

miplot | Morishita Index Plot | |

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

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

cells | Biological Cells Point Pattern | |

bramblecanes | Hutchings' Bramble Canes data | |

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

nncross | Nearest Neighbours Between Two Patterns | |

levelset | Level Set of a Pixel Image | |

rmpoispp | Generate Multitype Poisson Point Pattern | |

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

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

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

eval.im | Evaluate Expression Involving Pixel Images | |

matchingdist | Distance for a Point Pattern Matching | |

clickpoly | Interactively Define a Polygon | |

rMaternI | Simulate Matern Model I | |

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

nnwhich | Nearest neighbour | |

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

fv | Create a Function Value Table | |

nztrees | New Zealand Trees Point Pattern | |

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

hyperframe | Hyper Data Frame | |

psp.object | Class of Line Segment Patterns | |

rotate.psp | Rotate a Line Segment Pattern | |

pixellate.owin | Convert Window to Pixel Image | |

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

longleaf | Longleaf Pines Point Pattern | |

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

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

plot.hyperframe | Plot Entries in a Hyperframe | |

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

rGaussPoisson | Simulate Gauss-Poisson Process | |

logLik.ppm | Log Likelihood for Poisson Point Process Model | |

midpoints.psp | Midpoints of Line Segment Pattern | |

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

nndist | Nearest neighbour distances | |

lurking | Lurking variable plot | |

plot.fasp | Plot a Function Array | |

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

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

smooth.fv | Apply Smoothing to Function Values | |

intersect.tess | Intersection of Two Tessellations | |

npoints | Number of Points in a Point Pattern | |

model.images | Compute Images of Constructed Covariates | |

spruces | Spruces Point Pattern | |

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

discpartarea | Area of Part of Disc | |

perimeter | Perimeter Length of Window | |

rsyst | Simulate systematic random point pattern | |

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

ripras | Estimate window from points alone | |

complement.owin | Take Complement of a Window | |

eroded.areas | Areas of Morphological Erosions | |

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

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

fryplot | Fry Plot of Point Pattern | |

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

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

pixellate | Convert Spatial Object to Pixel Image | |

contour.im | Contour plot of pixel image | |

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

nnwhich.ppx | Nearest Neighbours in Any Dimensions | |

ponderosa | Ponderosa Pine Tree Point Pattern | |

simdat | Simulated Point Pattern | |

pairdist.psp | Pairwise distances between line segments | |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

inforder.family | Infinite Order Interaction Family | |

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

plot.ppp | plot a Spatial Point Pattern | |

letterR | Window in Shape of Letter R | |

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

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

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

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

persp.im | Perspective Plot of Pixel Image | |

pairdist.pp3 | Pairwise distances in Three Dimensions | |

pcfinhom | Inhomogeneous Pair Correlation Function | |

plot.owin | Plot a Spatial Window | |

summary.owin | Summary of a Spatial Window | |

rshift | Random Shift | |

summary.im | Summarizing a Pixel Image | |

envelope | Simulation Envelopes of Summary Function | |

rotate.ppp | Rotate a Point Pattern | |

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

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

quadrats | Divide Region into Quadrats | |

plot.tess | Plot a tessellation | |

rThomas | Simulate Thomas Process | |

plot.quad | plot a Spatial Quadrature Scheme | |

plot.fv | Plot Function Values | |

rthin | Random Thinning | |

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

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

rshift.ppp | Randomly Shift a Point Pattern | |

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

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

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

corners | Corners of a rectangle | |

spatstat.options | Internal Options in Spatstat Package | |

shift.owin | Apply Vector Translation To Window | |

pairwise.family | Pairwise Interaction Process Family | |

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

swedishpines | Swedish Pines Point Pattern | |

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

pppdist | Distance Between Two Point Patterns | |

square | Square Window | |

pairdist | Pairwise distances | |

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

opening | Morphological Opening | |

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

rpoislinetess | Poisson Line Tessellation | |

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

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

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

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

pp3 | Three Dimensional Point Pattern | |

pppmatching | Create a Point Matching | |

quadratcount | Quadrat counting for a point pattern | |

im | Create a Pixel Image Object | |

mincontrast | Method of Minimum Contrast | |

pairs.im | Scatterplot Matrix for Pixel Images | |

pixelquad | Quadrature Scheme Based on Pixel Grid | |

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

nearestsegment | Find Line Segment Nearest to Each Point | |

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

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

im.object | Class of Images | |

owin | Create a Window | |

ord.family | Ord Interaction Process Family | |

runifpoint | Generate N Uniform Random Points | |

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

spatstat-package | The Spatstat Package | |

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

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

rMatClust | Simulate Matern Cluster Process | |

ppp.object | Class of Point Patterns | |

unmark | Remove Marks | |

project2segment | Move Point To Nearest Line | |

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

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

summary.quad | Summarizing a Quadrature Scheme | |

rpoispp | Generate Poisson Point Pattern | |

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

suffstat | Sufficient Statistic of Point Process Model | |

rStrauss | Perfect Simulation of the Strauss Process | |

rMaternII | Simulate Matern Model II | |

print.quad | Print a Quadrature Scheme | |

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

quad.object | Class of Quadrature Schemes | |

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

rjitter | Random Perturbation of a Point Pattern | |

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

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

rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |

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

rNeymanScott | Simulate Neyman-Scott Process | |

ppm | Fit Point Process Model to Data | |

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

scanpp | Read Point Pattern From Data File | |

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

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

rotate | Rotate | |

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

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

shift | Apply Vector Translation | |

rescue.rectangle | Convert Window Back To Rectangle | |

rescale | Convert dataset to another unit of length | |

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

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

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

urkiola | Urkiola Woods Point Pattern | |

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

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

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

plot.listof | Plot a List of Things | |

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

ppp | Create a Point Pattern | |

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

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

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

pcf | Pair Correlation Function | |

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

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

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

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

reach | Interaction Distance of a Point Process | |

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

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

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

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

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

periodify | Make Periodic Copies of a Spatial Pattern | |

superimposePSP | Superimpose Several Line Segment Patterns | |

trim.rectangle | Cut margins from rectangle | |

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

vertices | Vertices of a Window | |

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

spokes | Spokes pattern of dummy points | |

rpoint | Generate N Random Points | |

superimpose | Superimpose Several Point Patterns | |

profilepl | Profile Maximum Pseudolikelihood | |

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

rpoisline | Generate Poisson Random Line Process | |

whist | Weighted Histogram | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

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

setcov | Set Covariance of a Window | |

quantile.im | Sample Quantiles of Pixel Image | |

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

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

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

rSSI | Simulate Simple Sequential Inhibition | |

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

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

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

plot.bermantest | Plot Result of Berman Test | |

pppmatching.object | Class of Point Matchings | |

rMosaicField | Mosaic Random Field | |

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

rstrat | Simulate Stratified Random Point Pattern | |

rlabel | Random Re-Labelling of Point Pattern | |

tiles | Extract List of Tiles in a Tessellation | |

tess | Create a Tessellation | |

unitname | Name for Unit of Length | |

shapley | Galaxies in the Shapley Supercluster | |

rmpoint | Generate N Random Multitype Points | |

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

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

volume | Volume of an Object | |

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

No Results! |

## Last month downloads

## Details

Date | 2010-06-09 |

License | GPL (>= 2) |

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

Packaged | 2010-06-09 04:47:42 UTC; adrian |

Repository | CRAN |

Date/Publication | 2010-06-09 12:29:20 |

depends | base (>= 2.10.0) , deldir (>= 0.0-10) , graphics , mgcv , R (>= 2.10.0) , stats , utils |

suggests | gpclib , maptools , rpanel , scatterplot3d , sm , tkrplot |

Contributors | Rolf Turner, Adrian Baddeley |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/spatstat)](http://www.rdocumentation.org/packages/spatstat)
```