spatstat v1.63-0

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

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

Functions in spatstat

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