spatstat v1.63-2

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