spatstat v1.56-0

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

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datasets.Rnw
getstart.Rnw
hexagon.eps
hexagon.pdf
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irregpoly.pdf
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