# spatstat v1.22-0

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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 | |

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

suffstat | Sufficient Statistic of Point Process Model | |

BadGey | Hybrid Geyer Point Process Model | |

unmark | Remove Marks | |

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

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

Kest.fft | K-function using FFT | |

Pairwise | Generic Pairwise Interaction model | |

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

crossdist | Pairwise distances | |

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

diameter | Diameter of an Object | |

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

gridweights | Compute Quadrature Weights Based on Grid Counts | |

im | Create a Pixel Image Object | |

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

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

logLik.slrm | Loglikelihood of Spatial Logistic Regression | |

Emark | Diagnostics for random marking | |

DiggleGratton | Diggle-Gratton model | |

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

closing | Morphological Closing | |

longleaf | Longleaf Pines Point Pattern | |

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

pairdist.ppx | Pairwise Distances in Any Dimensions | |

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

Fiksel | The Fiksel Interaction | |

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

sharpen | Data Sharpening of Point Pattern | |

print.quad | Print a Quadrature Scheme | |

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

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

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

rMosaicSet | Mosaic Random Set | |

setcov | Set Covariance of a Window | |

eem | Exponential Energy Marks | |

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

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

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

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

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

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

Gmulti | Marked Nearest Neighbour Distance Function | |

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

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

amacrine | Hughes' Amacrine Cell Data | |

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

Iest | Estimate the I-function | |

japanesepines | Japanese Pines Point Pattern | |

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

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

as.rectangle | Window Frame | |

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

rpoint | Generate N Random Points | |

shift.owin | Apply Vector Translation To Window | |

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

plot.linnet | Plot a linear network | |

plot.fv | Plot Function Values | |

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

Kscaled | Locally Scaled K-function | |

runiflpp | Uniform Random Points on a Linear Network | |

tess | Create a Tessellation | |

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

spatstat-package | The Spatstat Package | |

summary.im | Summarizing a Pixel Image | |

markvario | Mark Variogram | |

progressreport | Print Progress Reports | |

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

Gfox | Foxall's Distance Functions | |

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

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

project2segment | Move Point To Nearest Line | |

methods.linnet | Methods for Linear Networks | |

trim.rectangle | Cut margins from rectangle | |

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

areaGain | Difference of Disc Areas | |

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

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

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

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

ppm | Fit Point Process Model to Data | |

connected | Connected components of an image or window | |

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

inforder.family | Infinite Order Interaction Family | |

Kmulti | Marked K-Function | |

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

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

rThomas | Simulate Thomas Process | |

Extract.fasp | Extract Subset of Function Array | |

bdist.points | Distance to Boundary of Window | |

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

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

centroid.owin | Centroid of a window | |

localK | Neighbourhood density function | |

whist | Weighted Histogram | |

bind.fv | Combine Function Value Tables | |

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

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

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

Extract.quad | Subset of Quadrature Scheme | |

Jest | Estimate the J-function | |

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

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

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

distfun | Distance Map as a Function | |

copper | Berman-Huntington points and lines data | |

fasp.object | Function Arrays for Spatial Patterns | |

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

Jmulti | Marked J Function | |

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

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

as.owin | Convert Data To Class owin | |

blur | Apply Gaussian Blur to a Pixel Image | |

discpartarea | Area of Part of Disc | |

plot.colourmap | Plot a Colour Map | |

psp.object | Class of Line Segment Patterns | |

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

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

Ord | Generic Ord Interaction model | |

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

is.marked | Test Whether Marks Are Present | |

kppm | Fit cluster point process model | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

ants | Harkness-Isham ants' nests data | |

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

swedishpines | Swedish Pines Point Pattern | |

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

shift | Apply Vector Translation | |

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

superimpose | Superimpose Several Geometric Patterns | |

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

Poisson | Poisson Point Process Model | |

gridcentres | Rectangular grid of points | |

summary.owin | Summary of a Spatial Window | |

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

summary.quad | Summarizing a Quadrature Scheme | |

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

nnwhich.ppx | Nearest Neighbours in Any Dimensions | |

bronzefilter | Bronze gradient filter data | |

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

anemones | Beadlet Anemones Data | |

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

eval.fv | Evaluate Expression Involving Functions | |

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

gpc2owin | Convert Polygonal Region into Different Format | |

distmap | Distance Map | |

as.ppp | Convert Data To Class ppp | |

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

nnwhich.pp3 | Nearest neighbours in three dimensions | |

interp.im | Interpolate a Pixel Image | |

markcorrint | Mark Correlation Integral | |

harmonic | Basis for Harmonic Functions | |

as.tess | Convert Data To Tessellation | |

pixellate | Convert Spatial Object to Pixel Image | |

im.object | Class of Images | |

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

Kinhom | Inhomogeneous K-function | |

convexhull.xy | Convex Hull of Points | |

clickppp | Interactively Add Points | |

Geyer | Geyer's Saturation Point Process Model | |

Lest | L-function | |

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

spatstat-deprecated | Deprecated spatstat functions | |

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

MultiHard | The Multitype Hard Core Point Process Model | |

ewcdf | Weighted Empirical Cumulative Distribution Function | |

LennardJones | The Lennard-Jones Potential | |

plot.fasp | Plot a Function Array | |

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

rcell | Simulate Baddeley-Silverman Cell Process | |

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

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

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

smooth.fv | Apply Smoothing to Function Values | |

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

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

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

contour.im | Contour plot of pixel image | |

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

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

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

border | Border Region of a Window | |

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

bdist.pixels | Distance to Boundary of Window | |

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

concatxy | Concatenate x,y Coordinate Vectors | |

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

corners | Corners of a rectangle | |

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

clickpoly | Interactively Define a Polygon | |

spatstat.options | Internal Options in Spatstat Package | |

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

convexhull | Convex Hull | |

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

nnwhich | Nearest neighbour | |

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

nztrees | New Zealand Trees Point Pattern | |

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

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

rSSI | Simulate Simple Sequential Inhibition | |

default.expand | Compute Expansion Window for Simulation | |

varblock | Estimate Variance of Summary Statistic by Subdivision | |

owin | Create a Window | |

incircle | Find Largest Circle Inside Window | |

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

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

infline | Infinite Straight Lines | |

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

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

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

demopat | Artificial Data Point Pattern | |

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

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

integral.im | Integral of a Pixel Image | |

plot.ppp | plot a Spatial Point Pattern | |

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

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

vertices | Vertices of a Window | |

diameter.owin | Diameter of a Window | |

npoints | Number of Points in a Point Pattern | |

Hardcore | The Hard Core Point Process Model | |

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

erosion | Morphological Erosion | |

distmap.ppp | Distance Map of Point Pattern | |

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

rescale | Convert dataset to another unit of length | |

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

finpines | Pine saplings in Finland. | |

rotate.ppp | Rotate a Point Pattern | |

plot.envelope | Plot a Simulation Envelope | |

lurking | Lurking variable plot | |

rMaternII | Simulate Matern Model II | |

Kcross.inhom | Inhomogeneous Cross K Function | |

scanpp | Read Point Pattern From Data File | |

lpp | Create Point Pattern on Linear Network | |

fv | Create a Function Value Table | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

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

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

fryplot | Fry Plot of Point Pattern | |

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

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

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

volume | Volume of an Object | |

plot.hyperframe | Plot Entries in a Hyperframe | |

spatstat-internal | Internal spatstat functions | |

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

spruces | Spruces Point Pattern | |

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

pppmatching.object | Class of Point Matchings | |

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

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

levelset | Level Set of a Pixel Image | |

plot.im | Plot a Pixel Image | |

msr | Signed or Vector-Valued Measure | |

OrdThresh | Ord's Interaction model | |

rMatClust | Simulate Matern Cluster Process | |

reach | Interaction Distance of a Point Process | |

Gest | Nearest Neighbour Distance Function G | |

opening | Morphological Opening | |

linnet | Create a Linear Network | |

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

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

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

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

lut | Lookup Tables | |

quadratcount | Quadrat counting for a point pattern | |

localpcf | Local pair correlation function | |

area.owin | Area of a Window | |

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

pairdist.default | Pairwise distances | |

areaLoss | Difference of Disc Areas | |

Extract.im | Extract Subset of Image | |

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

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

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

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

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

plot.listof | Plot a List of Things | |

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

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

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

Kest | K-function | |

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

Kmeasure | Reduced Second Moment Measure | |

nndist | Nearest neighbour distances | |

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

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

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

square | Square Window | |

nncross | Nearest Neighbours Between Two Patterns | |

midpoints.psp | Midpoints of Line Segment Pattern | |

rhohat | Smoothing Estimate of Covariate Transformation | |

affine | Apply Affine Transformation | |

heather | Diggle's Heather Data | |

MultiStrauss | The Multitype Strauss Point Process Model | |

rsyst | Simulate systematic random point pattern | |

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

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

murchison | Murchison gold deposits | |

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

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

nnclean | Nearest Neighbour Clutter Removal | |

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

boxx | Multi-Dimensional Box | |

ppx | Multidimensional Space-Time Point Pattern | |

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

pppdist | Distance Between Two Point Patterns | |

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

rpoislpp | Poisson Point Process on a Linear Network | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

pixellate.owin | Convert Window to Pixel Image | |

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

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

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

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

letterR | Window in Shape of Letter R | |

clarkevans | Clark and Evans Aggregation Index | |

cells | Biological Cells Point Pattern | |

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

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

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

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

append.psp | Combine Two Line Segment Patterns | |

affine.owin | Apply Affine Transformation To Window | |

rGaussPoisson | Simulate Gauss-Poisson Process | |

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

rknn | Theoretical Distribution of Nearest Neighbour Distance | |

urkiola | Urkiola Woods Point Pattern | |

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

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

Hest | Spherical Contact Distribution Function | |

markconnect | Mark Connection Function | |

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

bramblecanes | Hutchings' Bramble Canes data | |

ppp | Create a Point Pattern | |

colourtools | Convert and Compare Colours in Different Formats | |

profilepl | Profile Maximum Pseudolikelihood | |

clickjoin | Interactively join vertices on a plot | |

eval.im | Evaluate Expression Involving Pixel Images | |

Saturated | Saturated Pairwise Interaction model | |

delaunay | Delaunay Triangulation of Point Pattern | |

rpoislinetess | Poisson Line Tessellation | |

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

plot.tess | Plot a tessellation | |

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

marks | Marks of a Point Pattern | |

quantile.im | Sample Quantiles of Pixel Image | |

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

dilation | Morphological Dilation | |

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

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

rMaternI | Simulate Matern Model I | |

miplot | Morishita Index Plot | |

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

eval.fasp | Evaluate Expression Involving Function Arrays | |

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

expand.owin | Expand Window By Factor | |

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

nearestsegment | Find Line Segment Nearest to Each Point | |

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

owin.object | Class owin | |

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

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

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

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

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

bei | Tropical rain forest trees | |

ripras | Estimate window from points alone | |

rmpoispp | Generate Multitype Poisson Point Pattern | |

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

fv.object | Data Frames of Function Values | |

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

as.hyperframe | Convert Data to Hyperframe | |

plot.owin | Plot a Spatial Window | |

hyperframe | Hyper Data Frame | |

is.multitype | Test whether Object is Multitype | |

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

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

rshift.ppp | Randomly Shift a Point Pattern | |

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

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

pairdist | Pairwise distances | |

markcorr | Mark Correlation Function | |

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

plot.quad | plot a Spatial Quadrature Scheme | |

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

rStrauss | Perfect Simulation of the Strauss Process | |

pairdist.pp3 | Pairwise distances in Three Dimensions | |

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

pairs.im | Scatterplot Matrix for Pixel Images | |

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

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

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

Strauss | The Strauss Point Process Model | |

slrm | Spatial Logistic Regression | |

as.psp | Convert Data To Class psp | |

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

dirichlet | Dirichlet Tessellation of Point Pattern | |

plot.bermantest | Plot Result of Berman Test | |

endpoints.psp | Endpoints of Line Segment Pattern | |

pairdist.psp | Pairwise distances between line segments | |

pcf | Pair Correlation Function | |

pppmatching | Create a Point Matching | |

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

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

circumradius | Circumradius and Diameter of a Linear Network | |

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

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

bdist.tiles | Distance to Boundary of Window | |

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

intersect.tess | Intersection of Two Tessellations | |

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

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

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

hamster | Aherne's hamster tumour data | |

rjitter | Random Perturbation of a Point Pattern | |

rotate | Rotate | |

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

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

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

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

quadrats | Divide Region into Quadrats | |

rpoispp | Generate Poisson Point Pattern | |

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

rpoisline | Generate Poisson Random Line Process | |

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

matchingdist | Distance for a Point Pattern Matching | |

rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |

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

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

methods.distfun | Methods for Distance Functions | |

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

persp.im | Perspective Plot of Pixel Image | |

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

rlabel | Random Re-Labelling of Point Pattern | |

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

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

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

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

pp3 | Three Dimensional Point Pattern | |

unitname | Name for Unit of Length | |

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

Fest | Estimate the empty space function F | |

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

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

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

Linhom | L-function | |

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

chorley | Chorley-Ribble Cancer Data | |

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

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

colourmap | Colour Lookup Tables | |

betacells | Beta Ganglion Cells in Cat Retina | |

dilated.areas | Areas of Morphological Dilations | |

disc | Circular Window | |

distmap.owin | Distance Map of Window | |

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

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

lengths.psp | Lengths of Line Segments | |

simdat | Simulated Point Pattern | |

simplenet | Simple Example of Linear Network | |

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

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

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

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

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

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

Softcore | The Soft Core Point Process Model | |

box3 | Three-Dimensional Box | |

angles.psp | Orientation Angles of Line Segments | |

pairwise.family | Pairwise Interaction Process Family | |

periodify | Make Periodic Copies of a Spatial Pattern | |

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

pixelquad | Quadrature Scheme Based on Pixel Grid | |

pcfinhom | Inhomogeneous Pair Correlation Function | |

complement.owin | Take Complement of a Window | |

envelope | Simulation Envelopes of Summary Function | |

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

eroded.areas | Areas of Morphological Erosions | |

pointsOnLines | Place Points Evenly Along Specified Lines | |

rNeymanScott | Simulate Neyman-Scott Process | |

rescue.rectangle | Convert Window Back To Rectangle | |

rshift | Random Shift | |

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

mincontrast | Method of Minimum Contrast | |

model.images | Compute Images of Constructed Covariates | |

ord.family | Ord Interaction Process Family | |

shapley | Galaxies in the Shapley Supercluster | |

pairdist.ppp | Pairwise distances | |

spokes | Spokes pattern of dummy points | |

tiles | Extract List of Tiles in a Tessellation | |

Extract.fv | Extract Subset of Function Values | |

AreaInter | The Area Interaction Point Process Model | |

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

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

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

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

as.im | Convert to Pixel Image | |

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

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

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

clarkevans.test | Clark and Evans Test | |

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

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

ponderosa | Ponderosa Pine Tree Point Pattern | |

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

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

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

deltametric | Delta Metric | |

lansing | Lansing Woods Point Pattern | |

rotate.psp | Rotate a Line Segment Pattern | |

perimeter | Perimeter Length of Window | |

ppp.object | Class of Point Patterns | |

psp | Create a Line Segment Pattern | |

rthin | Random Thinning | |

quad.object | Class of Quadrature Schemes | |

rMosaicField | Mosaic Random Field | |

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

rmpoint | Generate N Random Multitype Points | |

rstrat | Simulate Stratified Random Point Pattern | |

rotate.owin | Rotate a Window | |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

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

runifpoint | Generate N Uniform Random Points | |

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

No Results! |

## Last month downloads

## Details

Date | 2011-04-28 |

License | GPL (>= 2) |

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

Packaged | 2011-04-28 02:13:32 UTC; adrian |

Repository | CRAN |

Date/Publication | 2011-04-28 08:30:09 |

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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