spatstat v1.62-2

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

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