spatstat v1.63-2

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by Adrian Baddeley View Source

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

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

Functions in spatstat

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

Name
bugfixes.Rnw
datasets.Rnw
getstart.Rnw
hexagon.eps
hexagon.pdf
irregpoly.eps
irregpoly.pdf
replicated.Rnw
shapefiles.Rnw
updates.Rnw
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Last month downloads

Details

Date	2020-02-22
License	GPL (>= 2)
URL	http://www.spatstat.org
LazyData	true
NeedsCompilation	yes
ByteCompile	true
BugReports	https://github.com/spatstat/spatstat/issues
Packaged	2020-02-22 08:14:02 UTC; adrian
Repository	CRAN
Date/Publication	2020-02-23 17:40:02 UTC

imports	abind , deldir (>= 0.0-21) , goftest (>= 1.2-2) , Matrix , mgcv , polyclip (>= 1.10-0) , spatstat.utils (>= 1.17-0) , tensor
suggests	fftwtools (>= 0.9-8) , gsl , locfit , maptools , RandomFields (>= 3.1.24.1) , RandomFieldsUtils (>= 0.3.3.1) , rpanel , sm , spatial , tkrplot
depends	graphics , grDevices , methods , nlme , R (>= 3.3.0) , rpart , spatstat.data (>= 1.4-2) , stats , utils
Contributors	Adrian Baddeley, Rolf Turner, Ege Rubak