spatstat v1.56-1

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