# spatstat v1.19-3

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 | |

Hest | Spherical Contact Distribution Function | |

Extract.quad | Subset of Quadrature Scheme | |

Strauss | The Strauss Point Process Model | |

DiggleGratton | Diggle-Gratton model | |

Iest | Estimate the I-function | |

Fest | Estimate the empty space function F | |

as.im | Convert to Pixel Image | |

border | Border Region of a Window | |

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

bdist.tiles | Distance to Boundary of Window | |

Gfox | Foxall's Distance Functions | |

amacrine | Hughes' Amacrine Cell Data | |

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

Emark | Diagnostics for random marking | |

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

Lest | L-function | |

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

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

dirichlet | Dirichlet Tessellation of Point Pattern | |

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

blur | Apply Gaussian Blur to a Pixel Image | |

Jest | Estimate the J-function | |

as.tess | Convert Data To Tessellation | |

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

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

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

Saturated | Saturated Pairwise Interaction model | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

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

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

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

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

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

Poisson | Poisson Point Process Model | |

chorley | Chorley-Ribble Cancer Data | |

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

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

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

Ord | Generic Ord Interaction model | |

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

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

centroid.owin | Centroid of a window | |

complement.owin | Take Complement of a Window | |

dilated.areas | Areas of Morphological Dilations | |

deltametric | Delta Metric | |

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

connected | Connected components of an image or window | |

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

Gmulti | Marked Nearest Neighbour Distance Function | |

integral.im | Integral of a Pixel Image | |

discpartarea | Area of Part of Disc | |

as.ppp | Convert Data To Class ppp | |

levelset | Level Set of a Pixel Image | |

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

im.object | Class of Images | |

spatstat-deprecated | Deprecated spatstat functions | |

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

bei | Tropical rain forest trees | |

im | Create a Pixel Image Object | |

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

eval.fasp | Evaluate Expression Involving Function Arrays | |

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

closing | Morphological Closing | |

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

Extract.im | Extract Subset of Image | |

Geyer | Geyer's Saturation Point Process Model | |

intersect.tess | Intersection of Two Tessellations | |

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

area.owin | Area of a Window | |

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

copper | Berman-Huntington points and lines data | |

delaunay | Delaunay Triangulation of Point Pattern | |

hamster | Aherne's hamster tumour data | |

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

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

diameter | Diameter of an Object | |

erosion | Morphological Erosion | |

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

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

Gest | Nearest Neighbour Distance Function G | |

Kinhom | Inhomogeneous K-function | |

boxx | Multi-Dimensional Box | |

OrdThresh | Ord's Interaction model | |

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

box3 | Three-Dimensional Box | |

demopat | Artificial Data Point Pattern | |

eem | Exponential Energy Marks | |

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

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

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

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

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

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

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

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

marks | Marks of a Point Pattern | |

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

Kcross.inhom | Inhomogeneous Cross K Function | |

interp.im | Interpolate a Pixel Image | |

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

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

bdist.points | Distance to Boundary of Window | |

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

disc | Circular Window | |

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

Extract.fasp | Extract Subset of Function Array | |

distmap.ppp | Distance Map of Point Pattern | |

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

BadGey | Hybrid Geyer Point Process Model | |

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

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

gridcentres | Rectangular grid of points | |

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

bind.fv | Combine Function Value Tables | |

lengths.psp | Lengths of Line Segments | |

Softcore | The Soft Core Point Process Model | |

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

areaLoss | Difference of Disc Areas | |

markcorr | Mark Correlation Function | |

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

Kmeasure | Reduced Second Moment Measure | |

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

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

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

markvario | Mark Variogram | |

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

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

clarkevans | Clark and Evans Aggregation Index | |

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

MultiStrauss | The Multitype Strauss Point Process Model | |

is.multitype | Test whether Object is Multitype | |

AreaInter | The Area Interaction Point Process Model | |

distmap | Distance Map | |

Pairwise | Generic Pairwise Interaction model | |

ants | Harkness-Isham ants' nests data | |

Fiksel | The Fiksel Interaction | |

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

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

ewcdf | Weighted Empirical Cumulative Distribution Function | |

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

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

harmonic | Basis for Harmonic Functions | |

Linhom | L-function | |

as.owin | Convert Data To Class owin | |

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

finpines | Pine saplings in Finland. | |

clickpoly | Interactively Define a Polygon | |

distfun | Distance Map as a Function | |

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

affine.owin | Apply Affine Transformation To Window | |

letterR | Window in Shape of Letter R | |

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

Hardcore | The Hard Core Point Process Model | |

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

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

as.psp | Convert Data To Class psp | |

Kest | K-function | |

colourmap | Colour Lookup Tables | |

bdist.pixels | Distance to Boundary of Window | |

LennardJones | The Lennard-Jones Potential | |

endpoints.psp | Endpoints of Line Segment Pattern | |

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

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

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

heather | Diggle's Heather Data | |

as.rectangle | Window Frame | |

hyperframe | Hyper Data Frame | |

expand.owin | Expand Window By Factor | |

clickppp | Interactively Add Points | |

lut | Lookup Tables | |

incircle | Find Largest Circle Inside Window | |

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

angles.psp | Orientation Angles of Line Segments | |

bramblecanes | Hutchings' Bramble Canes data | |

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

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

diameter.owin | Diameter of a Window | |

concatxy | Concatenate x,y Coordinate Vectors | |

Jmulti | Marked J Function | |

gridweights | Compute Quadrature Weights Based on Grid Counts | |

append.psp | Combine Two Line Segment Patterns | |

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

inforder.family | Infinite Order Interaction Family | |

convexhull.xy | Convex Hull of Points | |

bronzefilter | Bronze gradient filter data | |

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

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

distmap.owin | Distance Map of Window | |

is.marked | Test Whether Marks Are Present | |

anemones | Beadlet Anemones Data | |

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

localK | Neighbourhood density function | |

corners | Corners of a rectangle | |

Kest.fft | K-function using FFT | |

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

cells | Biological Cells Point Pattern | |

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

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

markconnect | Mark Connection Function | |

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

envelope | Simulation Envelopes of Summary Function | |

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

eroded.areas | Areas of Morphological Erosions | |

affine | Apply Affine Transformation | |

convexhull | Convex Hull | |

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

dilation | Morphological Dilation | |

contour.im | Contour plot of pixel image | |

crossdist | Pairwise distances | |

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

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

gpc2owin | Convert Polygonal Region into Different Format | |

eval.im | Evaluate Expression Involving Pixel Images | |

fryplot | Fry Plot of Point Pattern | |

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

fv | Create a Function Value Table | |

colourtools | Convert and Compare Colours in Different Formats | |

kppm | Fit cluster point process model | |

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

eval.fv | Evaluate Expression Involving Functions | |

infline | Infinite Straight Lines | |

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

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

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

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

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

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

longleaf | Longleaf Pines Point Pattern | |

spatstat-internal | Internal spatstat functions | |

betacells | Beta Ganglion Cells in Cat Retina | |

Extract.fv | Extract Subset of Function Values | |

Kmulti | Marked K-Function | |

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

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

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

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

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

pcf | Pair Correlation Function | |

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

nnwhich | Nearest neighbour | |

pp3 | Three Dimensional Point Pattern | |

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

midpoints.psp | Midpoints of Line Segment Pattern | |

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

markcorrint | Mark Correlation Integral | |

pixellate | Convert Spatial Object to Pixel Image | |

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

ord.family | Ord Interaction Process Family | |

quad.object | Class of Quadrature Schemes | |

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

plot.tess | Plot a tessellation | |

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

as.hyperframe | Convert Data to Hyperframe | |

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

pppmatching.object | Class of Point Matchings | |

plot.bermantest | Plot Result of Berman Test | |

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

rcell | Simulate Baddeley-Silverman Cell Process | |

pairdist.ppx | Pairwise Distances in Any Dimensions | |

rGaussPoisson | Simulate Gauss-Poisson Process | |

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

rNeymanScott | Simulate Neyman-Scott Process | |

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

miplot | Morishita Index Plot | |

rpoint | Generate N Random Points | |

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

areaGain | Difference of Disc Areas | |

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

plot.envelope | Plot a Simulation Envelope | |

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

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

plot.fasp | Plot a Function Array | |

rotate.psp | Rotate a Line Segment Pattern | |

nnwhich.ppx | Nearest Neighbours in Any Dimensions | |

pairdist | Pairwise distances | |

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

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

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

pairdist.default | Pairwise distances | |

model.images | Compute Images of Constructed Covariates | |

nncross | Nearest Neighbours Between Two Patterns | |

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

nnclean | Nearest Neighbour Clutter Removal | |

psp | Create a Line Segment Pattern | |

ppp.object | Class of Point Patterns | |

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

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

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

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

quantile.im | Sample Quantiles of Pixel Image | |

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

plot.hyperframe | Plot Entries in a Hyperframe | |

owin.object | Class owin | |

rMatClust | Simulate Matern Cluster Process | |

quadrats | Divide Region into Quadrats | |

nearestsegment | Find Line Segment Nearest to Each Point | |

volume | Volume of an Object | |

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

ppp | Create a Point Pattern | |

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

print.quad | Print a Quadrature Scheme | |

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

rjitter | Random Perturbation of a Point Pattern | |

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

plot.listof | Plot a List of Things | |

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

pcfinhom | Inhomogeneous Pair Correlation Function | |

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

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

rMaternII | Simulate Matern Model II | |

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

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

shift.owin | Apply Vector Translation To Window | |

rshift.ppp | Randomly Shift a Point Pattern | |

rSSI | Simulate Simple Sequential Inhibition | |

psp.object | Class of Line Segment Patterns | |

progressreport | Print Progress Reports | |

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

rlabel | Random Re-Labelling of Point Pattern | |

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

murchison | Murchison gold deposits | |

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

npoints | Number of Points in a Point Pattern | |

ppx | Multidimensional Space-Time Point Pattern | |

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

pixelquad | Quadrature Scheme Based on Pixel Grid | |

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

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

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

pairwise.family | Pairwise Interaction Process Family | |

rotate.owin | Rotate a Window | |

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

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

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

summary.im | Summarizing a Pixel Image | |

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

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

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

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

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

opening | Morphological Opening | |

rMaternI | Simulate Matern Model I | |

pairdist.ppp | Pairwise distances | |

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

plot.quad | plot a Spatial Quadrature Scheme | |

plot.ppp | plot a Spatial Point Pattern | |

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

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

rescale | Convert dataset to another unit of length | |

rotate.ppp | Rotate a Point Pattern | |

fasp.object | Function Arrays for Spatial Patterns | |

rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |

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

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

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

pppmatching | Create a Point Matching | |

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

pixellate.owin | Convert Window to Pixel Image | |

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

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

rMosaicSet | Mosaic Random Set | |

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

plot.im | Plot a Pixel Image | |

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

ppm | Fit Point Process Model to Data | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

nnwhich.pp3 | Nearest neighbours in three dimensions | |

plot.owin | Plot a Spatial Window | |

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

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

pppdist | Distance Between Two Point Patterns | |

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

matchingdist | Distance for a Point Pattern Matching | |

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

plot.fv | Plot Function Values | |

periodify | Make Periodic Copies of a Spatial Pattern | |

trim.rectangle | Cut margins from rectangle | |

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

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

pairs.im | Scatterplot Matrix for Pixel Images | |

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

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

setcov | Set Covariance of a Window | |

rsyst | Simulate systematic random point pattern | |

rstrat | Simulate Stratified Random Point Pattern | |

japanesepines | Japanese Pines Point Pattern | |

scanpp | Read Point Pattern From Data File | |

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

rmpoispp | Generate Multitype Poisson Point Pattern | |

tiles | Extract List of Tiles in a Tessellation | |

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

square | Square Window | |

nztrees | New Zealand Trees Point Pattern | |

fv.object | Data Frames of Function Values | |

reach | Interaction Distance of a Point Process | |

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

spruces | Spruces Point Pattern | |

unmark | Remove Marks | |

smooth.fv | Apply Smoothing to Function Values | |

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

quadratcount | Quadrat counting for a point pattern | |

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

mincontrast | Method of Minimum Contrast | |

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

rknn | Theoretical Distribution of Nearest Neighbour Distance | |

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

rpoislinetess | Poisson Line Tessellation | |

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

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

pointsOnLines | Place Points Evenly Along Specified Lines | |

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

rStrauss | Perfect Simulation of the Strauss Process | |

persp.im | Perspective Plot of Pixel Image | |

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

profilepl | Profile Maximum Pseudolikelihood | |

rshift | Random Shift | |

vertices | Vertices of a Window | |

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

rThomas | Simulate Thomas Process | |

ponderosa | Ponderosa Pine Tree Point Pattern | |

spatstat-package | The Spatstat Package | |

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

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

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

unitname | Name for Unit of Length | |

superimpose | Superimpose Several Point Patterns | |

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

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

ripras | Estimate window from points alone | |

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

owin | Create a Window | |

rotate | Rotate | |

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

plot.colourmap | Plot a Colour Map | |

suffstat | Sufficient Statistic of Point Process Model | |

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

rpoisline | Generate Poisson Random Line Process | |

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

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

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

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

superimposePSP | Superimpose Several Line Segment Patterns | |

project2segment | Move Point To Nearest Line | |

rMosaicField | Mosaic Random Field | |

simdat | Simulated Point Pattern | |

rmpoint | Generate N Random Multitype Points | |

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

spokes | Spokes pattern of dummy points | |

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

summary.quad | Summarizing a Quadrature Scheme | |

urkiola | Urkiola Woods Point Pattern | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

nndist | Nearest neighbour distances | |

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

pairdist.pp3 | Pairwise distances in Three Dimensions | |

rescue.rectangle | Convert Window Back To Rectangle | |

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

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

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

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

lansing | Lansing Woods Point Pattern | |

runifpoint | Generate N Uniform Random Points | |

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

shift | Apply Vector Translation | |

perimeter | Perimeter Length of Window | |

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

rthin | Random Thinning | |

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

spatstat.options | Internal Options in Spatstat Package | |

rpoispp | Generate Poisson Point Pattern | |

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

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

lurking | Lurking variable plot | |

pairdist.psp | Pairwise distances between line segments | |

swedishpines | Swedish Pines Point Pattern | |

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

shapley | Galaxies in the Shapley Supercluster | |

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

whist | Weighted Histogram | |

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

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

tess | Create a Tessellation | |

summary.owin | Summary of a Spatial Window | |

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## Last month downloads

## Details

Date | 2010-06-16 |

License | GPL (>= 2) |

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

Packaged | 2010-06-16 07:59:16 UTC; adrian |

Repository | CRAN |

Date/Publication | 2010-06-17 09:16:22 |

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 |

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