spatstat v1.61-0

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Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 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, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, 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, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.

Functions in spatstat

Name Description
Extract.fv Extract or Replace Subset of Function Values
F3est Empty Space Function of a Three-Dimensional Point Pattern
Extract.tess Extract or Replace Subset of Tessellation
CDF Cumulative Distribution Function From Kernel Density Estimate
Concom The Connected Component Process Model
Extract.influence.ppm Extract Subset of Influence Object
Extract.layered Extract or Replace Subset of a Layered Object
Emark Diagnostics for random marking
Extract.anylist Extract or Replace Subset of a List of Things
Fiksel The Fiksel Interaction
Fest Estimate the Empty Space Function or its Hazard Rate
AreaInter The Area Interaction Point Process Model
BadGey Hybrid Geyer Point Process Model
DiggleGatesStibbard Diggle-Gates-Stibbard Point Process Model
Extract.linnet Extract Subset of Linear Network
Extract.listof Extract or Replace Subset of a List of Things
Extract.owin Extract Subset of Window
Extract.ppp Extract or Replace Subset of Point Pattern
Extract.splitppp Extract or Replace Sub-Patterns
DiggleGratton Diggle-Gratton model
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
Gest Nearest Neighbour Distance Function G
Extract.leverage.ppm Extract Subset of Leverage Object
[.ssf Subset of spatially sampled function
Extract.linim Extract Subset of Pixel Image on Linear Network
HierHard The Hierarchical Hard Core Point Process Model
Extract.solist Extract or Replace Subset of a List of Spatial Objects
Extract.quad Subset of Quadrature Scheme
Gcom Model Compensator of Nearest Neighbour Function
Finhom Inhomogeneous Empty Space Function
FmultiInhom Inhomogeneous Marked F-Function
HierStrauss The Hierarchical Strauss Point Process Model
Extract.hyperframe Extract or Replace Subset of Hyperframe
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
Iest Estimate the I-function
Jinhom Inhomogeneous J-function
Extract.im Extract Subset of Image
Jmulti Marked J Function
Extract.ppx Extract Subset of Multidimensional Point Pattern
Extract.psp Extract Subset of Line Segment Pattern
Jcross Multitype J Function (i-to-j)
Geyer Geyer's Saturation Point Process Model
Hardcore The Hard Core Point Process Model
Kdot Multitype K Function (i-to-any)
Kdot.inhom Inhomogeneous Multitype K Dot Function
Hest Spherical Contact Distribution Function
Math.im S3 Group Generic methods for images
Kmodel.ppm K Function or Pair Correlation Function of Gibbs Point Process model
Kmulti Marked K-Function
HierStraussHard The Hierarchical Strauss Hard Core Point Process Model
Hybrid Hybrid Interaction Point Process Model
Math.imlist S3 Group Generic methods for List of Images
GmultiInhom Inhomogeneous Marked G-Function
Smooth.ppp Spatial smoothing of observations at irregular points
Gres Residual G Function
K3est K-function of a Three-Dimensional Point Pattern
Gfox Foxall's Distance Functions
Frame Extract or Change the Containing Rectangle of a Spatial Object
G3est Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
Smooth.ssf Smooth a Spatially Sampled Function
Lest L-function
Kmeasure Reduced Second Moment Measure
Linhom L-function
Ops.msr Arithmetic Operations on Measures
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
Kcom Model Compensator of K Function
Kmodel K Function or Pair Correlation Function of a Point Process Model
Window Extract or Change the Window of a Spatial Object
Kest K-function
Kscaled Locally Scaled K-function
Ksector Sector K-function
Ord Generic Ord Interaction model
WindowOnly Extract Window of Spatial Object
Kest.fft K-function using FFT
affine.lpp Apply Geometrical Transformations to Point Pattern on a Linear Network
Kcross Multitype K Function (Cross-type)
Kmodel.dppm K-function or Pair Correlation Function of a Determinantal Point Process Model
Smooth.msr Smooth a Signed or Vector-Valued Measure
Strauss The Strauss Point Process Model
StraussHard The Strauss / Hard Core Point Process Model
Smooth.fv Apply Smoothing to Function Values
affine.owin Apply Affine Transformation To Window
Kcross.inhom Inhomogeneous Cross K Function
Kmodel.kppm K Function or Pair Correlation Function of Cluster Model or Cox model
OrdThresh Ord's Interaction model
Lcross Multitype L-function (cross-type)
LambertW Lambert's W Function
affine.ppp Apply Affine Transformation To Point Pattern
Triplets The Triplet Point Process Model
Tstat Third order summary statistic
Ldot.inhom Inhomogeneous Multitype L Dot Function
MinkowskiSum Minkowski Sum of Windows
Math.linim S3 Group Generic Methods for Images on a Linear Network
affine.psp Apply Affine Transformation To Line Segment Pattern
MultiHard The Multitype Hard Core Point Process Model
anova.ppm ANOVA for Fitted Point Process Models
anova.slrm Analysis of Deviance for Spatial Logistic Regression Models
alltypes Calculate Summary Statistic for All Types in a Multitype Point Pattern
append.psp Combine Two Line Segment Patterns
angles.psp Orientation Angles of Line Segments
LennardJones The Lennard-Jones Potential
Saturated Saturated Pairwise Interaction model
MultiStrauss The Multitype Strauss Point Process Model
Smooth Spatial smoothing of data
adaptive.density Adaptive Estimate of Intensity of Point Pattern
PPversion Transform a Function into its P-P or Q-Q Version
add.texture Fill Plot With Texture
clickjoin Interactively join vertices on a plot
cbind.hyperframe Combine Hyperframes by Rows or by Columns
applynbd Apply Function to Every Neighbourhood in a Point Pattern
as.linfun Convert Data to a Function on a Linear Network
as.function.tess Convert a Tessellation to a Function
as.fv Convert Data To Class fv
as.layered Convert Data To Layered Object
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
SatPiece Piecewise Constant Saturated Pairwise Interaction Point Process Model
Replace.linim Reset Values in Subset of Image on Linear Network
as.tess Convert Data To Tessellation
as.solist Convert List of Two-Dimensional Spatial Objects
affine.tess Apply Geometrical Transformation To Tessellation
allstats Calculate four standard summary functions of a point pattern.
Gmulti Marked Nearest Neighbour Distance Function
Ginhom Inhomogeneous Nearest Neighbour Function
bdist.pixels Distance to Boundary of Window
area.owin Area of a Window
areaGain Difference of Disc Areas
berman.test Berman's Tests for Point Process Model
as.mask Pixel Image Approximation of a Window
as.mask.psp Convert Line Segment Pattern to Binary Pixel Mask
Jdot Multitype J Function (i-to-any)
anova.lppm ANOVA for Fitted Point Process Models on Linear Network
Smoothfun.ppp Smooth Interpolation of Marks as a Spatial Function
bw.CvL Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
Jest Estimate the J-function
Kinhom Inhomogeneous K-function
Softcore The Soft Core Point Process Model
as.ppm Extract Fitted Point Process Model
as.data.frame.hyperframe Coerce Hyperframe to Data Frame
affine.im Apply Affine Transformation To Pixel Image
bdist.points Distance to Boundary of Window
as.linnet.linim Extract Linear Network from Data on a Linear Network
anova.mppm ANOVA for Fitted Point Process Models for Replicated Patterns
bw.smoothppp Cross Validated Bandwidth Selection for Spatial Smoothing
bugfixes List Recent Bug Fixes
clarkevans.test Clark and Evans Test
border Border Region of a Window
anyNA.im Check Whether Image Contains NA Values
affine.linnet Apply Geometrical Transformations to a Linear Network
as.data.frame.im Convert Pixel Image to Data Frame
bw.stoyan Stoyan's Rule of Thumb for Bandwidth Selection
areaLoss Difference of Disc Areas
as.ppp Convert Data To Class ppp
bounding.box.xy Convex Hull of Points
bind.fv Combine Function Value Tables
cauchy.estpcf Fit the Neyman-Scott cluster process with Cauchy kernel
clip.infline Intersect Infinite Straight Lines with a Window
boundingbox Bounding Box of a Window, Image, or Point Pattern
Kmark Mark-Weighted K Function
as.function.fv Convert Function Value Table to Function
as.boxx Convert Data to Multi-Dimensional Box
as.function.owin Convert Window to Indicator Function
as.data.frame.envelope Coerce Envelope to Data Frame
as.function.leverage.ppm Convert Leverage Object to Function of Coordinates
anylist List of Objects
branchlabelfun Tree Branch Membership Labelling Function
as.linnet.psp Convert Line Segment Pattern to Linear Network
as.hyperframe Convert Data to Hyperframe
Kmulti.inhom Inhomogeneous Marked K-Function
clickdist Interactively Measure Distance
clickppp Interactively Add Points
Kres Residual K Function
as.lpp Convert Data to a Point Pattern on a Linear Network
envelopeArray Array of Simulation Envelopes of Summary Function
edges2triangles List Triangles in a Graph
clusterset Allard-Fraley Estimator of Cluster Feature
as.function.im Convert Pixel Image to Function of Coordinates
bc.ppm Bias Correction for Fitted Model
collapse.fv Collapse Several Function Tables into One
auc Area Under ROC Curve
clusterkernel Extract Cluster Offspring Kernel
as.box3 Convert Data to Three-Dimensional Box
Lcross.inhom Inhomogeneous Cross Type L Function
dg.envelope Global Envelopes for Dao-Genton Test
bits.envelope Global Envelopes for Balanced Independent Two-Stage Test
closepairs.pp3 Close Pairs of Points in 3 Dimensions
beachcolours Create Colour Scheme for a Range of Numbers
bw.relrisk Cross Validated Bandwidth Selection for Relative Risk Estimation
dkernel Kernel distributions and random generation
clickbox Interactively Define a Rectangle
deletebranch Delete or Extract a Branch of a Tree
default.dummy Generate a Default Pattern of Dummy Points
compatible.fasp Test Whether Function Arrays Are Compatible
compatible Test Whether Objects Are Compatible
coef.mppm Coefficients of Point Process Model Fitted to Multiple Point Patterns
crossdist.pp3 Pairwise distances between two different three-dimensional point patterns
as.psp Convert Data To Class psp
bits.test Balanced Independent Two-Stage Monte Carlo Test
concatxy Concatenate x,y Coordinate Vectors
closepairs Close Pairs of Points
Ldot Multitype L-function (i-to-any)
as.hyperframe.ppx Extract coordinates and marks of multidimensional point pattern
beginner Print Introduction For Beginners
as.rectangle Window Frame
bdist.tiles Distance to Boundary of Window
boxx Multi-Dimensional Box
discpartarea Area of Part of Disc
bw.scott Scott's Rule for Bandwidth Selection for Kernel Density
clusterfit Fit Cluster or Cox Point Process Model via Minimum Contrast
bw.voronoi Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity on a Network
bw.frac Bandwidth Selection Based on Window Geometry
Pairwise Generic Pairwise Interaction model
Penttinen Penttinen Interaction
as.linim Convert to Pixel Image on Linear Network
connected Connected components
crossdist.ppp Pairwise distances between two different point patterns
as.polygonal Convert a Window to a Polygonal Window
by.ppp Apply a Function to a Point Pattern Broken Down by Factor
cauchy.estK Fit the Neyman-Scott cluster process with Cauchy kernel
Poisson Poisson Point Process Model
bw.abram Abramson's Adaptive Bandwidths
compileK Generic Calculation of K Function and Pair Correlation Function
as.owin Convert Data To Class owin
begins Check Start of Character String
convexify Weil's Convexifying Operation
crossing.linnet Crossing Points between Linear Network and Other Lines
Replace.im Reset Values in Subset of Image
bw.lppl Likelihood Cross Validation Bandwidth Selection for Kernel Density on a Linear Network
clarkevans Clark and Evans Aggregation Index
by.im Apply Function to Image Broken Down by Factor
compatible.fv Test Whether Function Objects Are Compatible
clusterradius Compute or Extract Effective Range of Cluster Kernel
colourmap Colour Lookup Tables
distmap.ppp Distance Map of Point Pattern
circdensity Density Estimation for Circular Data
data.ppm Extract Original Data from a Fitted Point Process Model
convexhull Convex Hull
densityVoronoi Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
dclf.sigtrace Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
crossing.psp Crossing Points of Two Line Segment Patterns
convolve.im Convolution of Pixel Images
addvar Added Variable Plot for Point Process Model
covering Cover Region with Discs
clusterfield Field of clusters
coords Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
colourtools Convert and Compare Colours in Different Formats
colouroutputs Extract or Assign Colour Values in a Colour Map
affine Apply Affine Transformation
default.expand Default Expansion Rule for Simulation of Model
dg.progress Progress Plot of Dao-Genton Test of Spatial Pattern
deltametric Delta Metric
compatible.im Test Whether Pixel Images Are Compatible
dilation Morphological Dilation
identify.psp Identify Segments in a Line Segment Pattern
commonGrid Determine A Common Spatial Domain And Pixel Resolution
blur Apply Gaussian Blur to a Pixel Image
cdf.test.mppm Spatial Distribution Test for Multiple Point Process Model
bw.diggle Cross Validated Bandwidth Selection for Kernel Density
compareFit Residual Diagnostics for Multiple Fitted Models
delaunayDistance Distance on Delaunay Triangulation
cdf.test Spatial Distribution Test for Point Pattern or Point Process Model
corners Corners of a rectangle
eval.im Evaluate Expression Involving Pixel Images
delaunayNetwork Linear Network of Delaunay Triangulation or Dirichlet Tessellation
dim.detpointprocfamily Dimension of Determinantal Point Process Model
densityfun.ppp Kernel Estimate of Intensity as a Spatial Function
densityAdaptiveKernel Adaptive Kernel Estimate of Intensity of Point Pattern
dclf.test Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
densityVoronoi.lpp Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation
centroid.owin Centroid of a window
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model
distmap.owin Distance Map of Window
crossdist.psp Pairwise distances between two different line segment patterns
dg.test Dao-Genton Adjusted Goodness-Of-Fit Test
crossdist.ppx Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
chop.tess Subdivide a Window or Tessellation using a Set of Lines
dclf.progress Progress Plot of Test of Spatial Pattern
dg.sigtrace Significance Trace of Dao-Genton Test
complement.owin Take Complement of a Window
as.data.frame.owin Convert Window to Data Frame
convexhull.xy Convex Hull of Points
densityQuick.lpp Kernel Estimation of Intensity on a Network using a 2D Kernel
dppPowerExp Power Exponential Spectral Determinantal Point Process Model
divide.linnet Divide Linear Network at Cut Points
dppBessel Bessel Type Determinantal Point Process Model
diagnose.ppm Diagnostic Plots for Fitted Point Process Model
edit.hyperframe Invoke Text Editor on Hyperframe
connected.ppp Connected Components of a Point Pattern
density.ppp Kernel Smoothed Intensity of Point Pattern
crossdist Pairwise distances
connected.tess Connected Components of Tiles of a Tessellation
cut.ppp Classify Points in a Point Pattern
deriv.fv Calculate Derivative of Function Values
dummify Convert Data to Numeric Values by Constructing Dummy Variables
edges Extract Boundary Edges of a Window.
dffit.ppm Case Deletion Effect Measure of Fitted Model
disc Circular Window
envelope.pp3 Simulation Envelopes of Summary Function for 3D Point Pattern
dppspecdenrange Range of Spectral Density of a Determinantal Point Process Model
discretise Safely Convert Point Pattern Window to Binary Mask
envelope.envelope Recompute Envelopes
as.data.frame.ppp Coerce Point Pattern to a Data Frame
detpointprocfamilyfun Construct a New Determinantal Point Process Model Family Function
as.im Convert to Pixel Image
dirichletAreas Compute Areas of Tiles in Dirichlet Tessellation
as.data.frame.psp Coerce Line Segment Pattern to a Data Frame
dppCauchy Generalized Cauchy Determinantal Point Process Model
distmap.psp Distance Map of Line Segment Pattern
density.lpp Kernel Estimate of Intensity on a Linear Network
data.lppm Extract Original Data from a Fitted Point Process Model on a Network
delaunay Delaunay Triangulation of Point Pattern
as.data.frame.tess Convert Tessellation to Data Frame
distmap Distance Map
duplicated.ppp Determine Duplicated Points in a Spatial Point Pattern
coef.ppm Coefficients of Fitted Point Process Model
box3 Three-Dimensional Box
bw.ppl Likelihood Cross Validation Bandwidth Selection for Kernel Density
as.interact Extract Interaction Structure
default.rmhcontrol Set Default Control Parameters for Metropolis-Hastings Algorithm.
diameter Diameter of an Object
dfbetas.ppm Parameter Influence Measure
edge.Ripley Ripley's Isotropic Edge Correction
diameter.linnet Diameter and Bounding Radius of a Linear Network
dppapproxkernel Approximate Determinantal Point Process Kernel
dppeigen Internal function calculating eig and index
fitin.ppm Extract the Interaction from a Fitted Point Process Model
has.close Check Whether Points Have Close Neighbours
dppparbounds Parameter Bound for a Determinantal Point Process Model
edges2vees List Dihedral Triples in a Graph
as.matrix.im Convert Pixel Image to Matrix or Array
as.matrix.owin Convert Pixel Image to Matrix
diameter.box3 Geometrical Calculations for Three-Dimensional Box
fv Create a Function Value Table
fitted.lppm Fitted Intensity for Point Process on Linear Network
distcdf Distribution Function of Interpoint Distance
diameter.boxx Geometrical Calculations for Multi-Dimensional Box
emend Force Model to be Valid
dirichletVertices Vertices and Edges of Dirichlet Tessellation
is.multitype Test whether Object is Multitype
dppspecden Extract Spectral Density from Determinantal Point Process Model Object
is.dppm Recognise Fitted Determinantal Point Process Models
dppapproxpcf Approximate Pair Correlation Function of Determinantal Point Process Model
hybrid.family Hybrid Interaction Family
emend.ppm Force Point Process Model to be Valid
dirichletWeights Compute Quadrature Weights Based on Dirichlet Tessellation
eroded.areas Areas of Morphological Erosions
eval.fv Evaluate Expression Involving Functions
intensity Intensity of a Dataset or a Model
fryplot Fry Plot of Point Pattern
intensity.ppp Empirical Intensity of Point Pattern
fasp.object Function Arrays for Spatial Patterns
intensity.dppm Intensity of Determinantal Point Process Model
envelope.lpp Envelope for Point Patterns on Linear Network
discs Union of Discs
domain Extract the Domain of any Spatial Object
fitted.ppm Fitted Conditional Intensity for Point Process Model
foo Foo is Not a Real Name
boundingcircle Smallest Enclosing Circle
linearpcfcross Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
hextess Hexagonal Grid or Tessellation
is.connected.ppp Determine Whether a Point Pattern is Connected
fitted.slrm Fitted Probabilities for Spatial Logistic Regression
hierpair.family Hierarchical Pairwise Interaction Process Family
erosion Morphological Erosion by a Disc
fardist Farthest Distance to Boundary of Window
ewcdf Weighted Empirical Cumulative Distribution Function
dppkernel Extract Kernel from Determinantal Point Process Model Object
bw.pcf Cross Validated Bandwidth Selection for Pair Correlation Function
fvnames Abbreviations for Groups of Columns in Function Value Table
pairs.im Scatterplot Matrix for Pixel Images
im.apply Apply Function Pixelwise to List of Images
is.stationary Recognise Stationary and Poisson Point Process Models
eval.linim Evaluate Expression Involving Pixel Images on Linear Network
linim Create Pixel Image on Linear Network
dmixpois Mixed Poisson Distribution
infline Infinite Straight Lines
closing Morphological Closing
clicklpp Interactively Add Points on a Linear Network
contour.imlist Array of Contour Plots
crossdist.lpp Pairwise distances between two point patterns on a linear network
clickpoly Interactively Define a Polygon
extrapolate.psp Extrapolate Line Segments to Obtain Infinite Lines
gauss.hermite Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
edge.Trans Translation Edge Correction
edit.ppp Invoke Text Editor on Spatial Data
integral.msr Integral of a Measure
integral.linim Integral on a Linear Network
influence.ppm Influence Measure for Spatial Point Process Model
is.rectangle Determine Type of Window
hopskel Hopkins-Skellam Test
crossdist.default Pairwise distances between two different sets of points
closetriples Close Triples of Points
increment.fv Increments of a Function
markconnect Mark Connection Function
intensity.psp Empirical Intensity of Line Segment Pattern
fourierbasis Fourier Basis Functions
idw Inverse-distance weighted smoothing of observations at irregular points
harmonic Basis for Harmonic Functions
formula.ppm Model Formulae for Gibbs Point Process Models
inforder.family Infinite Order Interaction Family
harmonise Make Objects Compatible
interp.colourmap Interpolate smoothly between specified colours
contour.im Contour plot of pixel image
eem Exponential Energy Marks
is.multitype.ppm Test Whether A Point Process Model is Multitype
marktable Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
lut Lookup Tables
intensity.quadratcount Intensity Estimates Using Quadrat Counts
leverage.ppm Leverage Measure for Spatial Point Process Model
linearKdot Multitype K Function (Dot-type) for Linear Point Pattern
density.psp Kernel Smoothing of Line Segment Pattern or Linear Network
connected.linnet Connected Components of a Linear Network
eval.fasp Evaluate Expression Involving Function Arrays
localKinhom Inhomogeneous Neighbourhood Density Function
linearKdot.inhom Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
hyperframe Hyper Data Frame
erosionAny Morphological Erosion of Windows
identify.ppp Identify Points in a Point Pattern
is.subset.owin Determine Whether One Window is Contained In Another
harmonise.im Make Pixel Images Compatible
fv.object Function Value Table
interp.im Interpolate a Pixel Image
gridweights Compute Quadrature Weights Based on Grid Counts
formula.fv Extract or Change the Plot Formula for a Function Value Table
headtail First or Last Part of a Spatial Pattern
intersect.owin Intersection, Union or Set Subtraction of Windows
linearmarkconnect Mark Connection Function for Multitype Point Pattern on Linear Network
linfun Function on a Linear Network
is.empty Test Whether An Object Is Empty
kernel.squint Integral of Squared Kernel
kppm Fit Cluster or Cox Point Process Model
layerplotargs Extract or Replace the Plot Arguments of a Layered Object
laslett Laslett's Transform
fitted.mppm Fitted Conditional Intensity for Multiple Point Process Model
istat Point and Click Interface for Exploratory Analysis of Point Pattern
gridcentres Rectangular grid of points
layout.boxes Generate a Row or Column Arrangement of Rectangles.
intensity.ppx Intensity of a Multidimensional Space-Time Point Pattern
funxy Spatial Function Class
linearpcfcross.inhom Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
im.object Class of Images
coef.slrm Coefficients of Fitted Spatial Logistic Regression Model
is.connected Determine Whether an Object is Connected
im Create a Pixel Image Object
imcov Spatial Covariance of a Pixel Image
diameter.owin Diameter of a Window
dppGauss Gaussian Determinantal Point Process Model
connected.lpp Connected Components of a Point Pattern on a Linear Network
is.ppp Test Whether An Object Is A Point Pattern
lengths.psp Lengths of Line Segments
density.splitppp Kernel Smoothed Intensity of Split Point Pattern
km.rs Kaplan-Meier and Reduced Sample Estimator using Histograms
pixellate Convert Spatial Object to Pixel Image
harmonise.fv Make Function Tables Compatible
linearmarkequal Mark Connection Function for Multitype Point Pattern on Linear Network
nnorient Nearest Neighbour Orientation Distribution
invoke.symbolmap Plot Data Using Graphics Symbol Map
is.marked.ppp Test Whether A Point Pattern is Marked
intensity.lpp Empirical Intensity of Point Pattern on Linear Network
lgcp.estK Fit a Log-Gaussian Cox Point Process by Minimum Contrast
lineardisc Compute Disc of Given Radius in Linear Network
logLik.dppm Log Likelihood and AIC for Fitted Determinantal Point Process Model
markstat Summarise Marks in Every Neighbourhood in a Point Pattern
kernel.moment Moment of Smoothing Kernel
lpp Create Point Pattern on Linear Network
iplot Point and Click Interface for Displaying Spatial Data
mean.im Mean and Median of Pixel Values in an Image
is.convex Test Whether a Window is Convex
is.ppm Test Whether An Object Is A Fitted Point Process Model
logLik.slrm Loglikelihood of Spatial Logistic Regression
kernel.factor Scale factor for density kernel
linearpcf Linear Pair Correlation Function
methods.objsurf Methods for Objective Function Surfaces
measureContinuous Discrete and Continuous Components of a Measure
ippm Fit Point Process Model Involving Irregular Trend Parameters
cut.im Convert Pixel Image from Numeric to Factor
lixellate Subdivide Segments of a Network
rmhcontrol Set Control Parameters for Metropolis-Hastings Algorithm.
mean.linim Mean, Median, Quantiles of Pixel Values on a Linear Network
model.images Compute Images of Constructed Covariates
nndist.lpp Nearest neighbour distances on a linear network
linequad Quadrature Scheme on a Linear Network
plot.dppm Plot a fitted determinantal point process
project2set Find Nearest Point in a Region
lppm Fit Point Process Model to Point Pattern on Linear Network
cut.lpp Classify Points in a Point Pattern on a Network
methods.kppm Methods for Cluster Point Process Models
dimhat Estimate Dimension of Central Subspace
dilated.areas Areas of Morphological Dilations
dirichlet Dirichlet Tessellation of Point Pattern
distfun Distance Map as a Function
improve.kppm Improve Intensity Estimate of Fitted Cluster Point Process Model
model.depends Identify Covariates Involved in each Model Term
is.hybrid Test Whether Object is a Hybrid
is.im Test Whether An Object Is A Pixel Image
linearpcfinhom Inhomogeneous Linear Pair Correlation Function
localpcf Local pair correlation function
marks.tess Marks of a Tessellation
marks.psp Marks of a Line Segment Pattern
linnet Create a Linear Network
levelset Level Set of a Pixel Image
plot.leverage.ppm Plot Leverage Function
miplot Morisita Index Plot
dppMatern Whittle-Matern Determinantal Point Process Model
nnfromvertex Nearest Data Point From Each Vertex in a Network
latest.news Print News About Latest Version of Package
dppm Fit Determinantal Point Process Model
distfun.lpp Distance Map on Linear Network
incircle Find Largest Circle Inside Window
exactMPLEstrauss Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
fixef.mppm Extract Fixed Effects from Point Process Model
effectfun Compute Fitted Effect of a Spatial Covariate in a Point Process Model
logLik.kppm Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
predict.kppm Prediction from a Fitted Cluster Point Process Model
lohboot Bootstrap Confidence Bands for Summary Function
owin.object Class owin
methods.funxy Methods for Spatial Functions
pairorient Point Pair Orientation Distribution
nestsplit Nested Split
nearestsegment Find Line Segment Nearest to Each Point
nnwhich Nearest neighbour
nndist Nearest neighbour distances
lgcp.estpcf Fit a Log-Gaussian Cox Point Process by Minimum Contrast
ppm Fit Point Process Model to Data
plot.layered Layered Plot
owin Create a Window
plot.texturemap Plot a Texture Map
nndist.ppx Nearest Neighbour Distances in Any Dimensions
measureVariation Positive and Negative Parts, and Variation, of a Measure
pairwise.family Pairwise Interaction Process Family
lintess Tessellation on a Linear Network
nncross Nearest Neighbours Between Two Patterns
nndist.pp3 Nearest neighbour distances in three dimensions
plot.colourmap Plot a Colour Map
mincontrast Method of Minimum Contrast
methods.pp3 Methods for three-dimensional point patterns
pcfmulti Marked pair correlation function
reach.dppm Range of Interaction for a Determinantal Point Process Model
plot.ppm plot a Fitted Point Process Model
plot.yardstick Plot a Yardstick or Scale Bar
pairdist.ppx Pairwise Distances in Any Dimensions
nncross.lpp Nearest Neighbours on a Linear Network
pixellate.ppp Convert Point Pattern to Pixel Image
plot.textstring Plot a Text String
ord.family Ord Interaction Process Family
pool.fasp Pool Data from Several Function Arrays
methods.linnet Methods for Linear Networks
pixelquad Quadrature Scheme Based on Pixel Grid
pcf3est Pair Correlation Function of a Three-Dimensional Point Pattern
plot.anylist Plot a List of Things
insertVertices Insert New Vertices in a Linear Network
endpoints.psp Endpoints of Line Segment Pattern
overlap.owin Compute Area of Overlap
pcfcross Multitype pair correlation function (cross-type)
panel.contour Panel Plots using Colour Image or Contour Lines
intersect.tess Intersection of Two Tessellations
is.marked.ppm Test Whether A Point Process Model is Marked
methods.rho2hat Methods for Intensity Functions of Two Spatial Covariates
intensity.ppm Intensity of Fitted Point Process Model
methods.linim Methods for Images on a Linear Network
ellipse Elliptical Window.
nndist.psp Nearest neighbour distances between line segments
lineardirichlet Dirichlet Tessellation on a Linear Network
methods.boxx Methods for Multi-Dimensional Box
linearKinhom Inhomogeneous Linear K Function
markvario Mark Variogram
logLik.ppm Log Likelihood and AIC for Point Process Model
logLik.mppm Log Likelihood and AIC for Multiple Point Process Model
plot.tess Plot a Tessellation
raster.x Cartesian Coordinates for a Pixel Raster
pcfdot Multitype pair correlation function (i-to-any)
pcfcross.inhom Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
perimeter Perimeter Length of Window
plot.laslett Plot Laslett Transform
reach Interaction Distance of a Point Process
rose Rose Diagram
plot.msr Plot a Signed or Vector-Valued Measure
quadrats Divide Region into Quadrats
plot.pp3 Plot a Three-Dimensional Point Pattern
plot.listof Plot a List of Things
lurking Lurking Variable Plot
pool.envelope Pool Data from Several Envelopes
plot.quadrattest Display the result of a quadrat counting test.
methods.unitname Methods for Units
quadscheme Generate a Quadrature Scheme from a Point Pattern
pool.rat Pool Data from Several Ratio Objects
rescale.ppp Convert Point Pattern to Another Unit of Length
plot.onearrow Plot an Arrow
parres Partial Residuals for Point Process Model
pp3 Three Dimensional Point Pattern
predict.dppm Prediction from a Fitted Determinantal Point Process Model
rLGCP Simulate Log-Gaussian Cox Process
nndensity.ppp Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
pixellate.psp Convert Line Segment Pattern to Pixel Image
maxnndist Compute Minimum or Maximum Nearest-Neighbour Distance
envelope Simulation Envelopes of Summary Function
inside.owin Test Whether Points Are Inside A Window
harmonise.msr Make Measures Compatible
flipxy Exchange X and Y Coordinates
grow.boxx Add margins to box in any dimension
expand.owin Apply Expansion Rule
inside.boxx Test Whether Points Are Inside A Multidimensional Box
psp Create a Line Segment Pattern
layered Create List of Plotting Layers
integral.im Integral of a Pixel Image
hist.funxy Histogram of Values of a Spatial Function
methods.ssf Methods for Spatially Sampled Functions
points.lpp Draw Points on Existing Plot
markmarkscatter Mark-Mark Scatter Plot
methods.distfun Geometrical Operations for Distance Functions
hist.im Histogram of Pixel Values in an Image
grow.rectangle Add margins to rectangle
harmonise.owin Make Windows Compatible
rStrauss Perfect Simulation of the Strauss Process
npfun Dummy Function Returns Number of Points
nearest.raster.point Find Pixel Nearest to a Given Point
plot.linim Plot Pixel Image on Linear Network
prune.rppm Prune a Recursively Partitioned Point Process Model
is.owin Test Whether An Object Is A Window
linearK Linear K Function
rshift.psp Randomly Shift a Line Segment Pattern
methods.layered Methods for Layered Objects
rescue.rectangle Convert Window Back To Rectangle
plot.lpp Plot Point Pattern on Linear Network
ppx Multidimensional Space-Time Point Pattern
pool.fv Pool Several Functions
pairs.linim Scatterplot Matrix for Pixel Images on a Linear Network
pppdist Distance Between Two Point Patterns
lurking.mppm Lurking Variable Plot for Multiple Point Patterns
model.matrix.mppm Extract Design Matrix of Point Process Model for Several Point Patterns
model.matrix.slrm Extract Design Matrix from Spatial Logistic Regression Model
pool.quadrattest Pool Several Quadrat Tests
nnclean Nearest Neighbour Clutter Removal
methods.ppx Methods for Multidimensional Space-Time Point Patterns
nnwhich.pp3 Nearest neighbours in three dimensions
matchingdist Distance for a Point Pattern Matching
methods.dppm Methods for Determinantal Point Process Models
methods.fii Methods for Fitted Interactions
plot.fv Plot Function Values
lineartileindex Determine Which Tile Contains Each Given Point on a Linear Network
model.frame.ppm Extract the Variables in a Point Process Model
quadratresample Resample a Point Pattern by Resampling Quadrats
rescale Convert dataset to another unit of length
pppmatching Create a Point Matching
pppmatching.object Class of Point Matchings
print.ppp Print Brief Details of a Point Pattern Dataset
print.psp Print Brief Details of a Line Segment Pattern Dataset
rMatClust Simulate Matern Cluster Process
rescale.owin Convert Window to Another Unit of Length
pairdist.lpp Pairwise shortest-path distances between points on a linear network
pairdist.psp Pairwise distances between line segments
nncorr Nearest-Neighbour Correlation Indices of Marked Point Pattern
rDiggleGratton Perfect Simulation of the Diggle-Gratton Process
nsegments Number of Line Segments in a Line Segment Pattern
parameters Extract Model Parameters in Understandable Form
rSSI Simulate Simple Sequential Inhibition
rjitter Random Perturbation of a Point Pattern
simulate.kppm Simulate a Fitted Cluster Point Process Model
rat Ratio object
psp.object Class of Line Segment Patterns
methods.lpp Methods for Point Patterns on a Linear Network
roc Receiver Operating Characteristic
rdpp Simulation of a Determinantal Point Process
quadscheme.logi Generate a Logistic Regression Quadrature Scheme from a Point Pattern
ragsAreaInter Alternating Gibbs Sampler for Area-Interaction Process
ripras Estimate window from points alone
rectcontact Contact Distribution Function using Rectangular Structuring Element
rescale.im Convert Pixel Image to Another Unit of Length
quadratcount Quadrat counting for a point pattern
ragsMultiHard Alternating Gibbs Sampler for Multitype Hard Core Process
multiplicity.ppp Count Multiplicity of Duplicate Points
model.matrix.ppm Extract Design Matrix from Point Process Model
nvertices Count Number of Vertices
pairdist.default Pairwise distances
rmhmodel.default Build Point Process Model for Metropolis-Hastings Simulation.
rotate.owin Rotate a Window
ppm.ppp Fit Point Process Model to Point Pattern Data
is.marked Test Whether Marks Are Present
is.lpp Test Whether An Object Is A Point Pattern on a Linear Network
sdrPredict Compute Predictors from Sufficient Dimension Reduction
methods.zclustermodel Methods for Cluster Models
rpoispp Generate Poisson Point Pattern
relrisk.ppp Nonparametric Estimate of Spatially-Varying Relative Risk
localKcross.inhom Inhomogeneous Multitype K Function
matclust.estK Fit the Matern Cluster Point Process by Minimum Contrast
localKdot Local Multitype K Function (Dot-Type)
nnfun Nearest Neighbour Index Map as a Function
plot.imlist Plot a List of Images
matclust.estpcf Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
mergeLevels Merge Levels of a Factor
methods.lppm Methods for Fitted Point Process Models on a Linear Network
plot.cdftest Plot a Spatial Distribution Test
pcf Pair Correlation Function
joinVertices Join Vertices in a Network
linearpcfdot.inhom Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
is.multitype.ppp Test Whether A Point Pattern is Multitype
kaplan.meier Kaplan-Meier Estimator using Histogram Data
periodify Make Periodic Copies of a Spatial Pattern
quadrat.test.splitppp Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
pixellate.owin Convert Window to Pixel Image
rescale.psp Convert Line Segment Pattern to Another Unit of Length
nnwhich.lpp Identify Nearest Neighbours on a Linear Network
rnoise Random Pixel Noise
rmh.ppm Simulate from a Fitted Point Process Model
quantess Quantile Tessellation
rotate Rotate
rshift.ppp Randomly Shift a Point Pattern
spatstat-internal Internal spatstat functions
scalardilate Apply Scalar Dilation
pixelcentres Extract Pixel Centres as Point Pattern
methods.box3 Methods for Three-Dimensional Box
sdr Sufficient Dimension Reduction
methods.rhohat Methods for Intensity Functions of Spatial Covariate
rpoispp3 Generate Poisson Point Pattern in Three Dimensions
runifpointx Generate N Uniform Random Points in Any Dimensions
pairsat.family Saturated Pairwise Interaction Point Process Family
pcf.fasp Pair Correlation Function obtained from array of K functions
ppm.object Class of Fitted Point Process Models
linearpcfdot Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
spatstat-deprecated Deprecated spatstat functions
plot.splitppp Plot a List of Point Patterns
persp.im Perspective Plot of Pixel Image
plot.rppm Plot a Recursively Partitioned Point Process Model
rDGS Perfect Simulation of the Diggle-Gates-Stibbard Process
plot.lintess Plot a Tessellation on a Linear Network
plot.linnet Plot a linear network
plot.slrm Plot a Fitted Spatial Logistic Regression
linearKcross Multitype K Function (Cross-type) for Linear Point Pattern
predict.mppm Prediction for Fitted Multiple Point Process Model
plot.scan.test Plot Result of Scan Test
pointsOnLines Place Points Evenly Along Specified Lines
plot.ssf Plot a Spatially Sampled Function
plot.ppp plot a Spatial Point Pattern
plot.hyperframe Plot Entries in a Hyperframe
plot.pppmatching Plot a Point Matching
polartess Tessellation Using Polar Coordinates
methods.slrm Methods for Spatial Logistic Regression Models
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
reflect Reflect In Origin
qqplot.ppm Q-Q Plot of Residuals from Fitted Point Process Model
predict.lppm Predict Point Process Model on Linear Network
npoints Number of Points in a Point Pattern
plot.bermantest Plot Result of Berman Test
psstG Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
localK Neighbourhood density function
rotate.ppp Rotate a Point Pattern
print.im Print Brief Details of an Image
plot.solist Plot a List of Spatial Objects
nnfun.lpp Nearest Neighbour Map on Linear Network
plot.im Plot a Pixel Image
print.quad Print a Quadrature Scheme
profilepl Fit Models by Profile Maximum Pseudolikelihood or AIC
rVarGamma Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
perspPoints Draw Points or Lines on a Surface Viewed in Perspective
pairdist Pairwise distances
rmhmodel.list Define Point Process Model for Metropolis-Hastings Simulation.
linearKcross.inhom Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
padimage Pad the Border of a Pixel Image
rpoisppOnLines Generate Poisson Point Pattern on Line Segments
ppmInfluence Leverage and Influence Measures for Spatial Point Process Model
rMaternI Simulate Matern Model I
rHardcore Perfect Simulation of the Hardcore Process
pseudoR2 Calculate Pseudo-R-Squared for Point Process Model
psib Sibling Probability of Cluster Point Process
rGaussPoisson Simulate Gauss-Poisson Process
predict.slrm Predicted or Fitted Values from Spatial Logistic Regression
rMosaicSet Mosaic Random Set
quantile.density Quantiles of a Density Estimate
rthinclumps Random Thinning of Clumps
rpoisppx Generate Poisson Point Pattern in Any Dimensions
runiflpp Uniform Random Points on a Linear Network
runifpoint Generate N Uniform Random Points
sessionLibs Print Names and Version Numbers of Libraries Loaded
rthin Random Thinning
simulate.dppm Simulation of Determinantal Point Process Model
selfcut.psp Cut Line Segments Where They Intersect
rex Richardson Extrapolation
rMaternII Simulate Matern Model II
scan.test Spatial Scan Test
localKcross Local Multitype K Function (Cross-Type)
objsurf Objective Function Surface
rstrat Simulate Stratified Random Point Pattern
rags Alternating Gibbs Sampler for Multitype Point Processes
pcfdot.inhom Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
msr Signed or Vector-Valued Measure
rshift.splitppp Randomly Shift a List of Point Patterns
markcorr Mark Correlation Function
regularpolygon Create A Regular Polygon
markcrosscorr Mark Cross-Correlation Function
matrixpower Power of a Matrix
pool Pool Data
pairdist.ppp Pairwise distances
plot.quadratcount Plot Quadrat Counts
plot.symbolmap Plot a Graphics Symbol Map
polynom Polynomial in One or Two Variables
pairdist.pp3 Pairwise distances in Three Dimensions
plot.mppm plot a Fitted Multiple Point Process Model
marks Marks of a Point Pattern
plot.lppm Plot a Fitted Point Process Model on a Linear Network
plot.studpermutest Plot a Studentised Permutation Test
quantile.ewcdf Quantiles of Weighted Empirical Cumulative Distribution Function
rgbim Create Colour-Valued Pixel Image
runifpointOnLines Generate N Uniform Random Points On Line Segments
simplepanel Simple Point-and-Click Interface Panels
nncross.pp3 Nearest Neighbours Between Two Patterns in 3D
midpoints.psp Midpoints of Line Segment Pattern
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
print.ppm Print a Fitted Point Process Model
runifpoint3 Generate N Uniform Random Points in Three Dimensions
nnmark Mark of Nearest Neighbour
range.fv Range of Function Values
quantile.im Sample Quantiles of Pixel Image
residuals.dppm Residuals for Fitted Determinantal Point Process Model
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
shift.im Apply Vector Translation To Pixel Image
mppm Fit Point Process Model to Several Point Patterns
methods.linfun Methods for Functions on Linear Network
nnmap K-th Nearest Point Map
shift Apply Vector Translation
predict.ppm Prediction from a Fitted Point Process Model
rMosaicField Mosaic Random Field
quad.object Class of Quadrature Schemes
predict.rppm Make Predictions From a Recursively Partitioned Point Process Model
simplify.owin Approximate a Polygon by a Simpler Polygon
solist List of Two-Dimensional Spatial Objects
solutionset Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True
rmhmodel.ppm Interpret Fitted Model for Metropolis-Hastings Simulation.
rppm Recursively Partitioned Point Process Model
print.owin Print Brief Details of a Spatial Window
residuals.ppm Residuals for Fitted Point Process Model
requireversion Require a Specific Version of a Package
rmpoispp Generate Multitype Poisson Point Pattern
nnwhich.ppx Nearest Neighbours in Any Dimensions
opening Morphological Opening
pcf.ppp Pair Correlation Function of Point Pattern
rshift Random Shift
residuals.mppm Residuals for Point Process Model Fitted to Multiple Point Patterns
rotate.im Rotate a Pixel Image
ppp Create a Point Pattern
rNeymanScott Simulate Neyman-Scott Process
relrisk Estimate of Spatially-Varying Relative Risk
plot.psp plot a Spatial Line Segment Pattern
rmhstart Determine Initial State for Metropolis-Hastings Simulation.
rlabel Random Re-Labelling of Point Pattern
segregation.test Test of Spatial Segregation of Types
rknn Theoretical Distribution of Nearest Neighbour Distance
simulate.lppm Simulate a Fitted Point Process Model on a Linear Network
rotate.infline Rotate or Shift Infinite Lines
rsyst Simulate systematic random point pattern
rtemper Simulated Annealing or Simulated Tempering for Gibbs Point Processes
simulate.mppm Simulate a Point Process Model Fitted to Several Point Patterns
solapply Apply a Function Over a List and Obtain a List of Objects
selfcrossing.psp Crossing Points in a Line Segment Pattern
scaletointerval Rescale Data to Lie Between Specified Limits
slrm Spatial Logistic Regression
rPenttinen Perfect Simulation of the Penttinen Process
nobjects Count Number of Geometrical Objects in a Spatial Dataset
pcf.fv Pair Correlation Function obtained from K Function
plot.owin Plot a Spatial Window
rStraussHard Perfect Simulation of the Strauss-Hardcore Process
rectdistmap Distance Map Using Rectangular Distance Metric
plot.kppm Plot a fitted cluster point process
pcfinhom Inhomogeneous Pair Correlation Function
ranef.mppm Extract Random Effects from Point Process Model
rotate.psp Rotate a Line Segment Pattern
reduced.sample Reduced Sample Estimator using Histogram Data
setcov Set Covariance of a Window
relrisk.ppm Parametric Estimate of Spatially-Varying Relative Risk
rmpoint Generate N Random Multitype Points
psstA Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
plot.plotppm Plot a plotppm Object Created by plot.ppm
reload.or.compute Compute Unless Previously Saved
plot.influence.ppm Plot Influence Measure
plot.envelope Plot a Simulation Envelope
psst Pseudoscore Diagnostic For Fitted Model against General Alternative
plot.fasp Plot a Function Array
plot.quad Plot a Spatial Quadrature Scheme
residuals.kppm Residuals for Fitted Cox or Cluster Point Process Model
project2segment Move Point To Nearest Line
pool.anylist Pool Data from a List of Objects
ppp.object Class of Point Patterns
quadrat.test.mppm Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
progressreport Print Progress Reports
rThomas Simulate Thomas Process
quadrat.test Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quasirandom Quasirandom Patterns
rPoissonCluster Simulate Poisson Cluster Process
rcell Simulate Baddeley-Silverman Cell Process
rQuasi Generate Quasirandom Point Pattern in Given Window
rcellnumber Generate Random Numbers of Points for Cell Process
relevel.im Reorder Levels of a Factor-Valued Image or Pattern
rCauchy Simulate Neyman-Scott Point Process with Cauchy cluster kernel
scanLRTS Likelihood Ratio Test Statistic for Scan Test
shift.psp Apply Vector Translation To Line Segment Pattern
rmhexpand Specify Simulation Window or Expansion Rule
run.simplepanel Run Point-and-Click Interface
spatdim Spatial Dimension of a Dataset
spatialcdf Spatial Cumulative Distribution Function
rotmean Rotational Average of a Pixel Image
rpoislpp Poisson Point Process on a Linear Network
scanpp Read Point Pattern From Data File
runifdisc Generate N Uniform Random Points in a Disc
rpoislinetess Poisson Line Tessellation
sharpen Data Sharpening of Point Pattern
sidelengths.owin Side Lengths of Enclosing Rectangle of a Window
round.ppp Apply Numerical Rounding to Spatial Coordinates
rmhmodel Define Point Process Model for Metropolis-Hastings Simulation.
rho2hat Smoothed Relative Density of Pairs of Covariate Values
rpoisline Generate Poisson Random Line Process
rhohat Nonparametric Estimate of Intensity as Function of a Covariate
rlinegrid Generate grid of parallel lines with random displacement
rlpp Random Points on a Linear Network
rpoint Generate N Random Points
rounding Detect Numerical Rounding
simulate.slrm Simulate a Fitted Spatial Logistic Regression Model
shift.ppp Apply Vector Translation To Point Pattern
shift.owin Apply Vector Translation To Window
simulate.ppm Simulate a Fitted Gibbs Point Process Model
Extract.fasp Extract Subset of Function Array
Extract.lpp Extract Subset of Point Pattern on Linear Network
Extract.msr Extract Subset of Signed or Vector Measure
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Vignettes of spatstat

Name
bugfixes.Rnw
datasets.Rnw
getstart.Rnw
hexagon.eps
hexagon.pdf
irregpoly.eps
irregpoly.pdf
replicated.Rnw
shapefiles.Rnw
updates.Rnw
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