spatstat v1.61-0

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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
Extract.fv	Extract or Replace Subset of Function Values
F3est	Empty Space Function of a Three-Dimensional Point Pattern
Extract.tess	Extract or Replace Subset of Tessellation
CDF	Cumulative Distribution Function From Kernel Density Estimate
Concom	The Connected Component Process Model
Extract.influence.ppm	Extract Subset of Influence Object
Extract.layered	Extract or Replace Subset of a Layered Object
Emark	Diagnostics for random marking
Extract.anylist	Extract or Replace Subset of a List of Things
Fiksel	The Fiksel Interaction
Fest	Estimate the Empty Space Function or its Hazard Rate
AreaInter	The Area Interaction Point Process Model
BadGey	Hybrid Geyer Point Process Model
DiggleGatesStibbard	Diggle-Gates-Stibbard Point Process Model
Extract.linnet	Extract Subset of Linear Network
Extract.listof	Extract or Replace Subset of a List of Things
Extract.owin	Extract Subset of Window
Extract.ppp	Extract or Replace Subset of Point Pattern
Extract.splitppp	Extract or Replace Sub-Patterns
DiggleGratton	Diggle-Gratton model
Gdot	Multitype Nearest Neighbour Distance Function (i-to-any)
Gest	Nearest Neighbour Distance Function G
Extract.leverage.ppm	Extract Subset of Leverage Object
[.ssf	Subset of spatially sampled function
Extract.linim	Extract Subset of Pixel Image on Linear Network
HierHard	The Hierarchical Hard Core Point Process Model
Extract.solist	Extract or Replace Subset of a List of Spatial Objects
Extract.quad	Subset of Quadrature Scheme
Gcom	Model Compensator of Nearest Neighbour Function
Finhom	Inhomogeneous Empty Space Function
FmultiInhom	Inhomogeneous Marked F-Function
HierStrauss	The Hierarchical Strauss Point Process Model
Extract.hyperframe	Extract or Replace Subset of Hyperframe
Gcross	Multitype Nearest Neighbour Distance Function (i-to-j)
Iest	Estimate the I-function
Jinhom	Inhomogeneous J-function
Extract.im	Extract Subset of Image
Jmulti	Marked J Function
Extract.ppx	Extract Subset of Multidimensional Point Pattern
Extract.psp	Extract Subset of Line Segment Pattern
Jcross	Multitype J Function (i-to-j)
Geyer	Geyer's Saturation Point Process Model
Hardcore	The Hard Core Point Process Model
Kdot	Multitype K Function (i-to-any)
Kdot.inhom	Inhomogeneous Multitype K Dot Function
Hest	Spherical Contact Distribution Function
Math.im	S3 Group Generic methods for images
Kmodel.ppm	K Function or Pair Correlation Function of Gibbs Point Process model
Kmulti	Marked K-Function
HierStraussHard	The Hierarchical Strauss Hard Core Point Process Model
Hybrid	Hybrid Interaction Point Process Model
Math.imlist	S3 Group Generic methods for List of Images
GmultiInhom	Inhomogeneous Marked G-Function
Smooth.ppp	Spatial smoothing of observations at irregular points
Gres	Residual G Function
K3est	K-function of a Three-Dimensional Point Pattern
Gfox	Foxall's Distance Functions
Frame	Extract or Change the Containing Rectangle of a Spatial Object
G3est	Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
Smooth.ssf	Smooth a Spatially Sampled Function
Lest	L-function
Kmeasure	Reduced Second Moment Measure
Linhom	L-function
Ops.msr	Arithmetic Operations on Measures
MultiStraussHard	The Multitype/Hard Core Strauss Point Process Model
Kcom	Model Compensator of K Function
Kmodel	K Function or Pair Correlation Function of a Point Process Model
Window	Extract or Change the Window of a Spatial Object
Kest	K-function
Kscaled	Locally Scaled K-function
Ksector	Sector K-function
Ord	Generic Ord Interaction model
WindowOnly	Extract Window of Spatial Object
Kest.fft	K-function using FFT
affine.lpp	Apply Geometrical Transformations to Point Pattern on a Linear Network
Kcross	Multitype K Function (Cross-type)
Kmodel.dppm	K-function or Pair Correlation Function of a Determinantal Point Process Model
Smooth.msr	Smooth a Signed or Vector-Valued Measure
Strauss	The Strauss Point Process Model
StraussHard	The Strauss / Hard Core Point Process Model
Smooth.fv	Apply Smoothing to Function Values
affine.owin	Apply Affine Transformation To Window
Kcross.inhom	Inhomogeneous Cross K Function
Kmodel.kppm	K Function or Pair Correlation Function of Cluster Model or Cox model
OrdThresh	Ord's Interaction model
Lcross	Multitype L-function (cross-type)
LambertW	Lambert's W Function
affine.ppp	Apply Affine Transformation To Point Pattern
Triplets	The Triplet Point Process Model
Tstat	Third order summary statistic
Ldot.inhom	Inhomogeneous Multitype L Dot Function
MinkowskiSum	Minkowski Sum of Windows
Math.linim	S3 Group Generic Methods for Images on a Linear Network
affine.psp	Apply Affine Transformation To Line Segment Pattern
MultiHard	The Multitype Hard Core Point Process Model
anova.ppm	ANOVA for Fitted Point Process Models
anova.slrm	Analysis of Deviance for Spatial Logistic Regression Models
alltypes	Calculate Summary Statistic for All Types in a Multitype Point Pattern
append.psp	Combine Two Line Segment Patterns
angles.psp	Orientation Angles of Line Segments
LennardJones	The Lennard-Jones Potential
Saturated	Saturated Pairwise Interaction model
MultiStrauss	The Multitype Strauss Point Process Model
Smooth	Spatial smoothing of data
adaptive.density	Adaptive Estimate of Intensity of Point Pattern
PPversion	Transform a Function into its P-P or Q-Q Version
add.texture	Fill Plot With Texture
clickjoin	Interactively join vertices on a plot
cbind.hyperframe	Combine Hyperframes by Rows or by Columns
applynbd	Apply Function to Every Neighbourhood in a Point Pattern
as.linfun	Convert Data to a Function on a Linear Network
as.function.tess	Convert a Tessellation to a Function
as.fv	Convert Data To Class fv
as.layered	Convert Data To Layered Object
PairPiece	The Piecewise Constant Pairwise Interaction Point Process Model
SatPiece	Piecewise Constant Saturated Pairwise Interaction Point Process Model
Replace.linim	Reset Values in Subset of Image on Linear Network
as.tess	Convert Data To Tessellation
as.solist	Convert List of Two-Dimensional Spatial Objects
affine.tess	Apply Geometrical Transformation To Tessellation
allstats	Calculate four standard summary functions of a point pattern.
Gmulti	Marked Nearest Neighbour Distance Function
Ginhom	Inhomogeneous Nearest Neighbour Function
bdist.pixels	Distance to Boundary of Window
area.owin	Area of a Window
areaGain	Difference of Disc Areas
berman.test	Berman's Tests for Point Process Model
as.mask	Pixel Image Approximation of a Window
as.mask.psp	Convert Line Segment Pattern to Binary Pixel Mask
Jdot	Multitype J Function (i-to-any)
anova.lppm	ANOVA for Fitted Point Process Models on Linear Network
Smoothfun.ppp	Smooth Interpolation of Marks as a Spatial Function
bw.CvL	Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
Jest	Estimate the J-function
Kinhom	Inhomogeneous K-function
Softcore	The Soft Core Point Process Model
as.ppm	Extract Fitted Point Process Model
as.data.frame.hyperframe	Coerce Hyperframe to Data Frame
affine.im	Apply Affine Transformation To Pixel Image
bdist.points	Distance to Boundary of Window
as.linnet.linim	Extract Linear Network from Data on a Linear Network
anova.mppm	ANOVA for Fitted Point Process Models for Replicated Patterns
bw.smoothppp	Cross Validated Bandwidth Selection for Spatial Smoothing
bugfixes	List Recent Bug Fixes
clarkevans.test	Clark and Evans Test
border	Border Region of a Window
anyNA.im	Check Whether Image Contains NA Values
affine.linnet	Apply Geometrical Transformations to a Linear Network
as.data.frame.im	Convert Pixel Image to Data Frame
bw.stoyan	Stoyan's Rule of Thumb for Bandwidth Selection
areaLoss	Difference of Disc Areas
as.ppp	Convert Data To Class ppp
bounding.box.xy	Convex Hull of Points
bind.fv	Combine Function Value Tables
cauchy.estpcf	Fit the Neyman-Scott cluster process with Cauchy kernel
clip.infline	Intersect Infinite Straight Lines with a Window
boundingbox	Bounding Box of a Window, Image, or Point Pattern
Kmark	Mark-Weighted K Function
as.function.fv	Convert Function Value Table to Function
as.boxx	Convert Data to Multi-Dimensional Box
as.function.owin	Convert Window to Indicator Function
as.data.frame.envelope	Coerce Envelope to Data Frame
as.function.leverage.ppm	Convert Leverage Object to Function of Coordinates
anylist	List of Objects
branchlabelfun	Tree Branch Membership Labelling Function
as.linnet.psp	Convert Line Segment Pattern to Linear Network
as.hyperframe	Convert Data to Hyperframe
Kmulti.inhom	Inhomogeneous Marked K-Function
clickdist	Interactively Measure Distance
clickppp	Interactively Add Points
Kres	Residual K Function
as.lpp	Convert Data to a Point Pattern on a Linear Network
envelopeArray	Array of Simulation Envelopes of Summary Function
edges2triangles	List Triangles in a Graph
clusterset	Allard-Fraley Estimator of Cluster Feature
as.function.im	Convert Pixel Image to Function of Coordinates
bc.ppm	Bias Correction for Fitted Model
collapse.fv	Collapse Several Function Tables into One
auc	Area Under ROC Curve
clusterkernel	Extract Cluster Offspring Kernel
as.box3	Convert Data to Three-Dimensional Box
Lcross.inhom	Inhomogeneous Cross Type L Function
dg.envelope	Global Envelopes for Dao-Genton Test
bits.envelope	Global Envelopes for Balanced Independent Two-Stage Test
closepairs.pp3	Close Pairs of Points in 3 Dimensions
beachcolours	Create Colour Scheme for a Range of Numbers
bw.relrisk	Cross Validated Bandwidth Selection for Relative Risk Estimation
dkernel	Kernel distributions and random generation
clickbox	Interactively Define a Rectangle
deletebranch	Delete or Extract a Branch of a Tree
default.dummy	Generate a Default Pattern of Dummy Points
compatible.fasp	Test Whether Function Arrays Are Compatible
compatible	Test Whether Objects Are Compatible
coef.mppm	Coefficients of Point Process Model Fitted to Multiple Point Patterns
crossdist.pp3	Pairwise distances between two different three-dimensional point patterns
as.psp	Convert Data To Class psp
bits.test	Balanced Independent Two-Stage Monte Carlo Test
concatxy	Concatenate x,y Coordinate Vectors
closepairs	Close Pairs of Points
Ldot	Multitype L-function (i-to-any)
as.hyperframe.ppx	Extract coordinates and marks of multidimensional point pattern
beginner	Print Introduction For Beginners
as.rectangle	Window Frame
bdist.tiles	Distance to Boundary of Window
boxx	Multi-Dimensional Box
discpartarea	Area of Part of Disc
bw.scott	Scott's Rule for Bandwidth Selection for Kernel Density
clusterfit	Fit Cluster or Cox Point Process Model via Minimum Contrast
bw.voronoi	Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity on a Network
bw.frac	Bandwidth Selection Based on Window Geometry
Pairwise	Generic Pairwise Interaction model
Penttinen	Penttinen Interaction
as.linim	Convert to Pixel Image on Linear Network
connected	Connected components
crossdist.ppp	Pairwise distances between two different point patterns
as.polygonal	Convert a Window to a Polygonal Window
by.ppp	Apply a Function to a Point Pattern Broken Down by Factor
cauchy.estK	Fit the Neyman-Scott cluster process with Cauchy kernel
Poisson	Poisson Point Process Model
bw.abram	Abramson's Adaptive Bandwidths
compileK	Generic Calculation of K Function and Pair Correlation Function
as.owin	Convert Data To Class owin
begins	Check Start of Character String
convexify	Weil's Convexifying Operation
crossing.linnet	Crossing Points between Linear Network and Other Lines
Replace.im	Reset Values in Subset of Image
bw.lppl	Likelihood Cross Validation Bandwidth Selection for Kernel Density on a Linear Network
clarkevans	Clark and Evans Aggregation Index
by.im	Apply Function to Image Broken Down by Factor
compatible.fv	Test Whether Function Objects Are Compatible
clusterradius	Compute or Extract Effective Range of Cluster Kernel
colourmap	Colour Lookup Tables
distmap.ppp	Distance Map of Point Pattern
circdensity	Density Estimation for Circular Data
data.ppm	Extract Original Data from a Fitted Point Process Model
convexhull	Convex Hull
densityVoronoi	Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
dclf.sigtrace	Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
crossing.psp	Crossing Points of Two Line Segment Patterns
convolve.im	Convolution of Pixel Images
addvar	Added Variable Plot for Point Process Model
covering	Cover Region with Discs
clusterfield	Field of clusters
coords	Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
colourtools	Convert and Compare Colours in Different Formats
colouroutputs	Extract or Assign Colour Values in a Colour Map
affine	Apply Affine Transformation
default.expand	Default Expansion Rule for Simulation of Model
dg.progress	Progress Plot of Dao-Genton Test of Spatial Pattern
deltametric	Delta Metric
compatible.im	Test Whether Pixel Images Are Compatible
dilation	Morphological Dilation
identify.psp	Identify Segments in a Line Segment Pattern
commonGrid	Determine A Common Spatial Domain And Pixel Resolution
blur	Apply Gaussian Blur to a Pixel Image
cdf.test.mppm	Spatial Distribution Test for Multiple Point Process Model
bw.diggle	Cross Validated Bandwidth Selection for Kernel Density
compareFit	Residual Diagnostics for Multiple Fitted Models
delaunayDistance	Distance on Delaunay Triangulation
cdf.test	Spatial Distribution Test for Point Pattern or Point Process Model
corners	Corners of a rectangle
eval.im	Evaluate Expression Involving Pixel Images
delaunayNetwork	Linear Network of Delaunay Triangulation or Dirichlet Tessellation
dim.detpointprocfamily	Dimension of Determinantal Point Process Model
densityfun.ppp	Kernel Estimate of Intensity as a Spatial Function
densityAdaptiveKernel	Adaptive Kernel Estimate of Intensity of Point Pattern
dclf.test	Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
densityVoronoi.lpp	Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation
centroid.owin	Centroid of a window
dummy.ppm	Extract Dummy Points Used to Fit a Point Process Model
distmap.owin	Distance Map of Window
crossdist.psp	Pairwise distances between two different line segment patterns
dg.test	Dao-Genton Adjusted Goodness-Of-Fit Test
crossdist.ppx	Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
chop.tess	Subdivide a Window or Tessellation using a Set of Lines
dclf.progress	Progress Plot of Test of Spatial Pattern
dg.sigtrace	Significance Trace of Dao-Genton Test
complement.owin	Take Complement of a Window
as.data.frame.owin	Convert Window to Data Frame
convexhull.xy	Convex Hull of Points
densityQuick.lpp	Kernel Estimation of Intensity on a Network using a 2D Kernel
dppPowerExp	Power Exponential Spectral Determinantal Point Process Model
divide.linnet	Divide Linear Network at Cut Points
dppBessel	Bessel Type Determinantal Point Process Model
diagnose.ppm	Diagnostic Plots for Fitted Point Process Model
edit.hyperframe	Invoke Text Editor on Hyperframe
connected.ppp	Connected Components of a Point Pattern
density.ppp	Kernel Smoothed Intensity of Point Pattern
crossdist	Pairwise distances
connected.tess	Connected Components of Tiles of a Tessellation
cut.ppp	Classify Points in a Point Pattern
deriv.fv	Calculate Derivative of Function Values
dummify	Convert Data to Numeric Values by Constructing Dummy Variables
edges	Extract Boundary Edges of a Window.
dffit.ppm	Case Deletion Effect Measure of Fitted Model
disc	Circular Window
envelope.pp3	Simulation Envelopes of Summary Function for 3D Point Pattern
dppspecdenrange	Range of Spectral Density of a Determinantal Point Process Model
discretise	Safely Convert Point Pattern Window to Binary Mask
envelope.envelope	Recompute Envelopes
as.data.frame.ppp	Coerce Point Pattern to a Data Frame
detpointprocfamilyfun	Construct a New Determinantal Point Process Model Family Function
as.im	Convert to Pixel Image
dirichletAreas	Compute Areas of Tiles in Dirichlet Tessellation
as.data.frame.psp	Coerce Line Segment Pattern to a Data Frame
dppCauchy	Generalized Cauchy Determinantal Point Process Model
distmap.psp	Distance Map of Line Segment Pattern
density.lpp	Kernel Estimate of Intensity on a Linear Network
data.lppm	Extract Original Data from a Fitted Point Process Model on a Network
delaunay	Delaunay Triangulation of Point Pattern
as.data.frame.tess	Convert Tessellation to Data Frame
distmap	Distance Map
duplicated.ppp	Determine Duplicated Points in a Spatial Point Pattern
coef.ppm	Coefficients of Fitted Point Process Model
box3	Three-Dimensional Box
bw.ppl	Likelihood Cross Validation Bandwidth Selection for Kernel Density
as.interact	Extract Interaction Structure
default.rmhcontrol	Set Default Control Parameters for Metropolis-Hastings Algorithm.
diameter	Diameter of an Object
dfbetas.ppm	Parameter Influence Measure
edge.Ripley	Ripley's Isotropic Edge Correction
diameter.linnet	Diameter and Bounding Radius of a Linear Network
dppapproxkernel	Approximate Determinantal Point Process Kernel
dppeigen	Internal function calculating eig and index
fitin.ppm	Extract the Interaction from a Fitted Point Process Model
has.close	Check Whether Points Have Close Neighbours
dppparbounds	Parameter Bound for a Determinantal Point Process Model
edges2vees	List Dihedral Triples in a Graph
as.matrix.im	Convert Pixel Image to Matrix or Array
as.matrix.owin	Convert Pixel Image to Matrix
diameter.box3	Geometrical Calculations for Three-Dimensional Box
fv	Create a Function Value Table
fitted.lppm	Fitted Intensity for Point Process on Linear Network
distcdf	Distribution Function of Interpoint Distance
diameter.boxx	Geometrical Calculations for Multi-Dimensional Box
emend	Force Model to be Valid
dirichletVertices	Vertices and Edges of Dirichlet Tessellation
is.multitype	Test whether Object is Multitype
dppspecden	Extract Spectral Density from Determinantal Point Process Model Object
is.dppm	Recognise Fitted Determinantal Point Process Models
dppapproxpcf	Approximate Pair Correlation Function of Determinantal Point Process Model
hybrid.family	Hybrid Interaction Family
emend.ppm	Force Point Process Model to be Valid
dirichletWeights	Compute Quadrature Weights Based on Dirichlet Tessellation
eroded.areas	Areas of Morphological Erosions
eval.fv	Evaluate Expression Involving Functions
intensity	Intensity of a Dataset or a Model
fryplot	Fry Plot of Point Pattern
intensity.ppp	Empirical Intensity of Point Pattern
fasp.object	Function Arrays for Spatial Patterns
intensity.dppm	Intensity of Determinantal Point Process Model
envelope.lpp	Envelope for Point Patterns on Linear Network
discs	Union of Discs
domain	Extract the Domain of any Spatial Object
fitted.ppm	Fitted Conditional Intensity for Point Process Model
foo	Foo is Not a Real Name
boundingcircle	Smallest Enclosing Circle
linearpcfcross	Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
hextess	Hexagonal Grid or Tessellation
is.connected.ppp	Determine Whether a Point Pattern is Connected
fitted.slrm	Fitted Probabilities for Spatial Logistic Regression
hierpair.family	Hierarchical Pairwise Interaction Process Family
erosion	Morphological Erosion by a Disc
fardist	Farthest Distance to Boundary of Window
ewcdf	Weighted Empirical Cumulative Distribution Function
dppkernel	Extract Kernel from Determinantal Point Process Model Object
bw.pcf	Cross Validated Bandwidth Selection for Pair Correlation Function
fvnames	Abbreviations for Groups of Columns in Function Value Table
pairs.im	Scatterplot Matrix for Pixel Images
im.apply	Apply Function Pixelwise to List of Images
is.stationary	Recognise Stationary and Poisson Point Process Models
eval.linim	Evaluate Expression Involving Pixel Images on Linear Network
linim	Create Pixel Image on Linear Network
dmixpois	Mixed Poisson Distribution
infline	Infinite Straight Lines
closing	Morphological Closing
clicklpp	Interactively Add Points on a Linear Network
contour.imlist	Array of Contour Plots
crossdist.lpp	Pairwise distances between two point patterns on a linear network
clickpoly	Interactively Define a Polygon
extrapolate.psp	Extrapolate Line Segments to Obtain Infinite Lines
gauss.hermite	Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
edge.Trans	Translation Edge Correction
edit.ppp	Invoke Text Editor on Spatial Data
integral.msr	Integral of a Measure
integral.linim	Integral on a Linear Network
influence.ppm	Influence Measure for Spatial Point Process Model
is.rectangle	Determine Type of Window
hopskel	Hopkins-Skellam Test
crossdist.default	Pairwise distances between two different sets of points
closetriples	Close Triples of Points
increment.fv	Increments of a Function
markconnect	Mark Connection Function
intensity.psp	Empirical Intensity of Line Segment Pattern
fourierbasis	Fourier Basis Functions
idw	Inverse-distance weighted smoothing of observations at irregular points
harmonic	Basis for Harmonic Functions
formula.ppm	Model Formulae for Gibbs Point Process Models
inforder.family	Infinite Order Interaction Family
harmonise	Make Objects Compatible
interp.colourmap	Interpolate smoothly between specified colours
contour.im	Contour plot of pixel image
eem	Exponential Energy Marks
is.multitype.ppm	Test Whether A Point Process Model is Multitype
marktable	Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
lut	Lookup Tables
intensity.quadratcount	Intensity Estimates Using Quadrat Counts
leverage.ppm	Leverage Measure for Spatial Point Process Model
linearKdot	Multitype K Function (Dot-type) for Linear Point Pattern
density.psp	Kernel Smoothing of Line Segment Pattern or Linear Network
connected.linnet	Connected Components of a Linear Network
eval.fasp	Evaluate Expression Involving Function Arrays
localKinhom	Inhomogeneous Neighbourhood Density Function
linearKdot.inhom	Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
hyperframe	Hyper Data Frame
erosionAny	Morphological Erosion of Windows
identify.ppp	Identify Points in a Point Pattern
is.subset.owin	Determine Whether One Window is Contained In Another
harmonise.im	Make Pixel Images Compatible
fv.object	Function Value Table
interp.im	Interpolate a Pixel Image
gridweights	Compute Quadrature Weights Based on Grid Counts
formula.fv	Extract or Change the Plot Formula for a Function Value Table
headtail	First or Last Part of a Spatial Pattern
intersect.owin	Intersection, Union or Set Subtraction of Windows
linearmarkconnect	Mark Connection Function for Multitype Point Pattern on Linear Network
linfun	Function on a Linear Network
is.empty	Test Whether An Object Is Empty
kernel.squint	Integral of Squared Kernel
kppm	Fit Cluster or Cox Point Process Model
layerplotargs	Extract or Replace the Plot Arguments of a Layered Object
laslett	Laslett's Transform
fitted.mppm	Fitted Conditional Intensity for Multiple Point Process Model
istat	Point and Click Interface for Exploratory Analysis of Point Pattern
gridcentres	Rectangular grid of points
layout.boxes	Generate a Row or Column Arrangement of Rectangles.
intensity.ppx	Intensity of a Multidimensional Space-Time Point Pattern
funxy	Spatial Function Class
linearpcfcross.inhom	Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
im.object	Class of Images
coef.slrm	Coefficients of Fitted Spatial Logistic Regression Model
is.connected	Determine Whether an Object is Connected
im	Create a Pixel Image Object
imcov	Spatial Covariance of a Pixel Image
diameter.owin	Diameter of a Window
dppGauss	Gaussian Determinantal Point Process Model
connected.lpp	Connected Components of a Point Pattern on a Linear Network
is.ppp	Test Whether An Object Is A Point Pattern
lengths.psp	Lengths of Line Segments
density.splitppp	Kernel Smoothed Intensity of Split Point Pattern
km.rs	Kaplan-Meier and Reduced Sample Estimator using Histograms
pixellate	Convert Spatial Object to Pixel Image
harmonise.fv	Make Function Tables Compatible
linearmarkequal	Mark Connection Function for Multitype Point Pattern on Linear Network
nnorient	Nearest Neighbour Orientation Distribution
invoke.symbolmap	Plot Data Using Graphics Symbol Map
is.marked.ppp	Test Whether A Point Pattern is Marked
intensity.lpp	Empirical Intensity of Point Pattern on Linear Network
lgcp.estK	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
lineardisc	Compute Disc of Given Radius in Linear Network
logLik.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
markstat	Summarise Marks in Every Neighbourhood in a Point Pattern
kernel.moment	Moment of Smoothing Kernel
lpp	Create Point Pattern on Linear Network
iplot	Point and Click Interface for Displaying Spatial Data
mean.im	Mean and Median of Pixel Values in an Image
is.convex	Test Whether a Window is Convex
is.ppm	Test Whether An Object Is A Fitted Point Process Model
logLik.slrm	Loglikelihood of Spatial Logistic Regression
kernel.factor	Scale factor for density kernel
linearpcf	Linear Pair Correlation Function
methods.objsurf	Methods for Objective Function Surfaces
measureContinuous	Discrete and Continuous Components of a Measure
ippm	Fit Point Process Model Involving Irregular Trend Parameters
cut.im	Convert Pixel Image from Numeric to Factor
lixellate	Subdivide Segments of a Network
rmhcontrol	Set Control Parameters for Metropolis-Hastings Algorithm.
mean.linim	Mean, Median, Quantiles of Pixel Values on a Linear Network
model.images	Compute Images of Constructed Covariates
nndist.lpp	Nearest neighbour distances on a linear network
linequad	Quadrature Scheme on a Linear Network
plot.dppm	Plot a fitted determinantal point process
project2set	Find Nearest Point in a Region
lppm	Fit Point Process Model to Point Pattern on Linear Network
cut.lpp	Classify Points in a Point Pattern on a Network
methods.kppm	Methods for Cluster Point Process Models
dimhat	Estimate Dimension of Central Subspace
dilated.areas	Areas of Morphological Dilations
dirichlet	Dirichlet Tessellation of Point Pattern
distfun	Distance Map as a Function
improve.kppm	Improve Intensity Estimate of Fitted Cluster Point Process Model
model.depends	Identify Covariates Involved in each Model Term
is.hybrid	Test Whether Object is a Hybrid
is.im	Test Whether An Object Is A Pixel Image
linearpcfinhom	Inhomogeneous Linear Pair Correlation Function
localpcf	Local pair correlation function
marks.tess	Marks of a Tessellation
marks.psp	Marks of a Line Segment Pattern
linnet	Create a Linear Network
levelset	Level Set of a Pixel Image
plot.leverage.ppm	Plot Leverage Function
miplot	Morisita Index Plot
dppMatern	Whittle-Matern Determinantal Point Process Model
nnfromvertex	Nearest Data Point From Each Vertex in a Network
latest.news	Print News About Latest Version of Package
dppm	Fit Determinantal Point Process Model
distfun.lpp	Distance Map on Linear Network
incircle	Find Largest Circle Inside Window
exactMPLEstrauss	Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
fixef.mppm	Extract Fixed Effects from Point Process Model
effectfun	Compute Fitted Effect of a Spatial Covariate in a Point Process Model
logLik.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
predict.kppm	Prediction from a Fitted Cluster Point Process Model
lohboot	Bootstrap Confidence Bands for Summary Function
owin.object	Class owin
methods.funxy	Methods for Spatial Functions
pairorient	Point Pair Orientation Distribution
nestsplit	Nested Split
nearestsegment	Find Line Segment Nearest to Each Point
nnwhich	Nearest neighbour
nndist	Nearest neighbour distances
lgcp.estpcf	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
ppm	Fit Point Process Model to Data
plot.layered	Layered Plot
owin	Create a Window
plot.texturemap	Plot a Texture Map
nndist.ppx	Nearest Neighbour Distances in Any Dimensions
measureVariation	Positive and Negative Parts, and Variation, of a Measure
pairwise.family	Pairwise Interaction Process Family
lintess	Tessellation on a Linear Network
nncross	Nearest Neighbours Between Two Patterns
nndist.pp3	Nearest neighbour distances in three dimensions
plot.colourmap	Plot a Colour Map
mincontrast	Method of Minimum Contrast
methods.pp3	Methods for three-dimensional point patterns
pcfmulti	Marked pair correlation function
reach.dppm	Range of Interaction for a Determinantal Point Process Model
plot.ppm	plot a Fitted Point Process Model
plot.yardstick	Plot a Yardstick or Scale Bar
pairdist.ppx	Pairwise Distances in Any Dimensions
nncross.lpp	Nearest Neighbours on a Linear Network
pixellate.ppp	Convert Point Pattern to Pixel Image
plot.textstring	Plot a Text String
ord.family	Ord Interaction Process Family
pool.fasp	Pool Data from Several Function Arrays
methods.linnet	Methods for Linear Networks
pixelquad	Quadrature Scheme Based on Pixel Grid
pcf3est	Pair Correlation Function of a Three-Dimensional Point Pattern
plot.anylist	Plot a List of Things
insertVertices	Insert New Vertices in a Linear Network
endpoints.psp	Endpoints of Line Segment Pattern
overlap.owin	Compute Area of Overlap
pcfcross	Multitype pair correlation function (cross-type)
panel.contour	Panel Plots using Colour Image or Contour Lines
intersect.tess	Intersection of Two Tessellations
is.marked.ppm	Test Whether A Point Process Model is Marked
methods.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
intensity.ppm	Intensity of Fitted Point Process Model
methods.linim	Methods for Images on a Linear Network
ellipse	Elliptical Window.
nndist.psp	Nearest neighbour distances between line segments
lineardirichlet	Dirichlet Tessellation on a Linear Network
methods.boxx	Methods for Multi-Dimensional Box
linearKinhom	Inhomogeneous Linear K Function
markvario	Mark Variogram
logLik.ppm	Log Likelihood and AIC for Point Process Model
logLik.mppm	Log Likelihood and AIC for Multiple Point Process Model
plot.tess	Plot a Tessellation
raster.x	Cartesian Coordinates for a Pixel Raster
pcfdot	Multitype pair correlation function (i-to-any)
pcfcross.inhom	Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
perimeter	Perimeter Length of Window
plot.laslett	Plot Laslett Transform
reach	Interaction Distance of a Point Process
rose	Rose Diagram
plot.msr	Plot a Signed or Vector-Valued Measure
quadrats	Divide Region into Quadrats
plot.pp3	Plot a Three-Dimensional Point Pattern
plot.listof	Plot a List of Things
lurking	Lurking Variable Plot
pool.envelope	Pool Data from Several Envelopes
plot.quadrattest	Display the result of a quadrat counting test.
methods.unitname	Methods for Units
quadscheme	Generate a Quadrature Scheme from a Point Pattern
pool.rat	Pool Data from Several Ratio Objects
rescale.ppp	Convert Point Pattern to Another Unit of Length
plot.onearrow	Plot an Arrow
parres	Partial Residuals for Point Process Model
pp3	Three Dimensional Point Pattern
predict.dppm	Prediction from a Fitted Determinantal Point Process Model
rLGCP	Simulate Log-Gaussian Cox Process
nndensity.ppp	Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
pixellate.psp	Convert Line Segment Pattern to Pixel Image
maxnndist	Compute Minimum or Maximum Nearest-Neighbour Distance
envelope	Simulation Envelopes of Summary Function
inside.owin	Test Whether Points Are Inside A Window
harmonise.msr	Make Measures Compatible
flipxy	Exchange X and Y Coordinates
grow.boxx	Add margins to box in any dimension
expand.owin	Apply Expansion Rule
inside.boxx	Test Whether Points Are Inside A Multidimensional Box
psp	Create a Line Segment Pattern
layered	Create List of Plotting Layers
integral.im	Integral of a Pixel Image
hist.funxy	Histogram of Values of a Spatial Function
methods.ssf	Methods for Spatially Sampled Functions
points.lpp	Draw Points on Existing Plot
markmarkscatter	Mark-Mark Scatter Plot
methods.distfun	Geometrical Operations for Distance Functions
hist.im	Histogram of Pixel Values in an Image
grow.rectangle	Add margins to rectangle
harmonise.owin	Make Windows Compatible
rStrauss	Perfect Simulation of the Strauss Process
npfun	Dummy Function Returns Number of Points
nearest.raster.point	Find Pixel Nearest to a Given Point
plot.linim	Plot Pixel Image on Linear Network
prune.rppm	Prune a Recursively Partitioned Point Process Model
is.owin	Test Whether An Object Is A Window
linearK	Linear K Function
rshift.psp	Randomly Shift a Line Segment Pattern
methods.layered	Methods for Layered Objects
rescue.rectangle	Convert Window Back To Rectangle
plot.lpp	Plot Point Pattern on Linear Network
ppx	Multidimensional Space-Time Point Pattern
pool.fv	Pool Several Functions
pairs.linim	Scatterplot Matrix for Pixel Images on a Linear Network
pppdist	Distance Between Two Point Patterns
lurking.mppm	Lurking Variable Plot for Multiple Point Patterns
model.matrix.mppm	Extract Design Matrix of Point Process Model for Several Point Patterns
model.matrix.slrm	Extract Design Matrix from Spatial Logistic Regression Model
pool.quadrattest	Pool Several Quadrat Tests
nnclean	Nearest Neighbour Clutter Removal
methods.ppx	Methods for Multidimensional Space-Time Point Patterns
nnwhich.pp3	Nearest neighbours in three dimensions
matchingdist	Distance for a Point Pattern Matching
methods.dppm	Methods for Determinantal Point Process Models
methods.fii	Methods for Fitted Interactions
plot.fv	Plot Function Values
lineartileindex	Determine Which Tile Contains Each Given Point on a Linear Network
model.frame.ppm	Extract the Variables in a Point Process Model
quadratresample	Resample a Point Pattern by Resampling Quadrats
rescale	Convert dataset to another unit of length
pppmatching	Create a Point Matching
pppmatching.object	Class of Point Matchings
print.ppp	Print Brief Details of a Point Pattern Dataset
print.psp	Print Brief Details of a Line Segment Pattern Dataset
rMatClust	Simulate Matern Cluster Process
rescale.owin	Convert Window to Another Unit of Length
pairdist.lpp	Pairwise shortest-path distances between points on a linear network
pairdist.psp	Pairwise distances between line segments
nncorr	Nearest-Neighbour Correlation Indices of Marked Point Pattern
rDiggleGratton	Perfect Simulation of the Diggle-Gratton Process
nsegments	Number of Line Segments in a Line Segment Pattern
parameters	Extract Model Parameters in Understandable Form
rSSI	Simulate Simple Sequential Inhibition
rjitter	Random Perturbation of a Point Pattern
simulate.kppm	Simulate a Fitted Cluster Point Process Model
rat	Ratio object
psp.object	Class of Line Segment Patterns
methods.lpp	Methods for Point Patterns on a Linear Network
roc	Receiver Operating Characteristic
rdpp	Simulation of a Determinantal Point Process
quadscheme.logi	Generate a Logistic Regression Quadrature Scheme from a Point Pattern
ragsAreaInter	Alternating Gibbs Sampler for Area-Interaction Process
ripras	Estimate window from points alone
rectcontact	Contact Distribution Function using Rectangular Structuring Element
rescale.im	Convert Pixel Image to Another Unit of Length
quadratcount	Quadrat counting for a point pattern
ragsMultiHard	Alternating Gibbs Sampler for Multitype Hard Core Process
multiplicity.ppp	Count Multiplicity of Duplicate Points
model.matrix.ppm	Extract Design Matrix from Point Process Model
nvertices	Count Number of Vertices
pairdist.default	Pairwise distances
rmhmodel.default	Build Point Process Model for Metropolis-Hastings Simulation.
rotate.owin	Rotate a Window
ppm.ppp	Fit Point Process Model to Point Pattern Data
is.marked	Test Whether Marks Are Present
is.lpp	Test Whether An Object Is A Point Pattern on a Linear Network
sdrPredict	Compute Predictors from Sufficient Dimension Reduction
methods.zclustermodel	Methods for Cluster Models
rpoispp	Generate Poisson Point Pattern
relrisk.ppp	Nonparametric Estimate of Spatially-Varying Relative Risk
localKcross.inhom	Inhomogeneous Multitype K Function
matclust.estK	Fit the Matern Cluster Point Process by Minimum Contrast
localKdot	Local Multitype K Function (Dot-Type)
nnfun	Nearest Neighbour Index Map as a Function
plot.imlist	Plot a List of Images
matclust.estpcf	Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
mergeLevels	Merge Levels of a Factor
methods.lppm	Methods for Fitted Point Process Models on a Linear Network
plot.cdftest	Plot a Spatial Distribution Test
pcf	Pair Correlation Function
joinVertices	Join Vertices in a Network
linearpcfdot.inhom	Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
is.multitype.ppp	Test Whether A Point Pattern is Multitype
kaplan.meier	Kaplan-Meier Estimator using Histogram Data
periodify	Make Periodic Copies of a Spatial Pattern
quadrat.test.splitppp	Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
pixellate.owin	Convert Window to Pixel Image
rescale.psp	Convert Line Segment Pattern to Another Unit of Length
nnwhich.lpp	Identify Nearest Neighbours on a Linear Network
rnoise	Random Pixel Noise
rmh.ppm	Simulate from a Fitted Point Process Model
quantess	Quantile Tessellation
rotate	Rotate
rshift.ppp	Randomly Shift a Point Pattern
spatstat-internal	Internal spatstat functions
scalardilate	Apply Scalar Dilation
pixelcentres	Extract Pixel Centres as Point Pattern
methods.box3	Methods for Three-Dimensional Box
sdr	Sufficient Dimension Reduction
methods.rhohat	Methods for Intensity Functions of Spatial Covariate
rpoispp3	Generate Poisson Point Pattern in Three Dimensions
runifpointx	Generate N Uniform Random Points in Any Dimensions
pairsat.family	Saturated Pairwise Interaction Point Process Family
pcf.fasp	Pair Correlation Function obtained from array of K functions
ppm.object	Class of Fitted Point Process Models
linearpcfdot	Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
spatstat-deprecated	Deprecated spatstat functions
plot.splitppp	Plot a List of Point Patterns
persp.im	Perspective Plot of Pixel Image
plot.rppm	Plot a Recursively Partitioned Point Process Model
rDGS	Perfect Simulation of the Diggle-Gates-Stibbard Process
plot.lintess	Plot a Tessellation on a Linear Network
plot.linnet	Plot a linear network
plot.slrm	Plot a Fitted Spatial Logistic Regression
linearKcross	Multitype K Function (Cross-type) for Linear Point Pattern
predict.mppm	Prediction for Fitted Multiple Point Process Model
plot.scan.test	Plot Result of Scan Test
pointsOnLines	Place Points Evenly Along Specified Lines
plot.ssf	Plot a Spatially Sampled Function
plot.ppp	plot a Spatial Point Pattern
plot.hyperframe	Plot Entries in a Hyperframe
plot.pppmatching	Plot a Point Matching
polartess	Tessellation Using Polar Coordinates
methods.slrm	Methods for Spatial Logistic Regression Models
rmh.default	Simulate Point Process Models using the Metropolis-Hastings Algorithm.
reflect	Reflect In Origin
qqplot.ppm	Q-Q Plot of Residuals from Fitted Point Process Model
predict.lppm	Predict Point Process Model on Linear Network
npoints	Number of Points in a Point Pattern
plot.bermantest	Plot Result of Berman Test
psstG	Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
localK	Neighbourhood density function
rotate.ppp	Rotate a Point Pattern
print.im	Print Brief Details of an Image
plot.solist	Plot a List of Spatial Objects
nnfun.lpp	Nearest Neighbour Map on Linear Network
plot.im	Plot a Pixel Image
print.quad	Print a Quadrature Scheme
profilepl	Fit Models by Profile Maximum Pseudolikelihood or AIC
rVarGamma	Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
perspPoints	Draw Points or Lines on a Surface Viewed in Perspective
pairdist	Pairwise distances
rmhmodel.list	Define Point Process Model for Metropolis-Hastings Simulation.
linearKcross.inhom	Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
padimage	Pad the Border of a Pixel Image
rpoisppOnLines	Generate Poisson Point Pattern on Line Segments
ppmInfluence	Leverage and Influence Measures for Spatial Point Process Model
rMaternI	Simulate Matern Model I
rHardcore	Perfect Simulation of the Hardcore Process
pseudoR2	Calculate Pseudo-R-Squared for Point Process Model
psib	Sibling Probability of Cluster Point Process
rGaussPoisson	Simulate Gauss-Poisson Process
predict.slrm	Predicted or Fitted Values from Spatial Logistic Regression
rMosaicSet	Mosaic Random Set
quantile.density	Quantiles of a Density Estimate
rthinclumps	Random Thinning of Clumps
rpoisppx	Generate Poisson Point Pattern in Any Dimensions
runiflpp	Uniform Random Points on a Linear Network
runifpoint	Generate N Uniform Random Points
sessionLibs	Print Names and Version Numbers of Libraries Loaded
rthin	Random Thinning
simulate.dppm	Simulation of Determinantal Point Process Model
selfcut.psp	Cut Line Segments Where They Intersect
rex	Richardson Extrapolation
rMaternII	Simulate Matern Model II
scan.test	Spatial Scan Test
localKcross	Local Multitype K Function (Cross-Type)
objsurf	Objective Function Surface
rstrat	Simulate Stratified Random Point Pattern
rags	Alternating Gibbs Sampler for Multitype Point Processes
pcfdot.inhom	Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
msr	Signed or Vector-Valued Measure
rshift.splitppp	Randomly Shift a List of Point Patterns
markcorr	Mark Correlation Function
regularpolygon	Create A Regular Polygon
markcrosscorr	Mark Cross-Correlation Function
matrixpower	Power of a Matrix
pool	Pool Data
pairdist.ppp	Pairwise distances
plot.quadratcount	Plot Quadrat Counts
plot.symbolmap	Plot a Graphics Symbol Map
polynom	Polynomial in One or Two Variables
pairdist.pp3	Pairwise distances in Three Dimensions
plot.mppm	plot a Fitted Multiple Point Process Model
marks	Marks of a Point Pattern
plot.lppm	Plot a Fitted Point Process Model on a Linear Network
plot.studpermutest	Plot a Studentised Permutation Test
quantile.ewcdf	Quantiles of Weighted Empirical Cumulative Distribution Function
rgbim	Create Colour-Valued Pixel Image
runifpointOnLines	Generate N Uniform Random Points On Line Segments
simplepanel	Simple Point-and-Click Interface Panels
nncross.pp3	Nearest Neighbours Between Two Patterns in 3D
midpoints.psp	Midpoints of Line Segment Pattern
rmh	Simulate point patterns using the Metropolis-Hastings algorithm.
print.ppm	Print a Fitted Point Process Model
runifpoint3	Generate N Uniform Random Points in Three Dimensions
nnmark	Mark of Nearest Neighbour
range.fv	Range of Function Values
quantile.im	Sample Quantiles of Pixel Image
residuals.dppm	Residuals for Fitted Determinantal Point Process Model
quad.ppm	Extract Quadrature Scheme Used to Fit a Point Process Model
shift.im	Apply Vector Translation To Pixel Image
mppm	Fit Point Process Model to Several Point Patterns
methods.linfun	Methods for Functions on Linear Network
nnmap	K-th Nearest Point Map
shift	Apply Vector Translation
predict.ppm	Prediction from a Fitted Point Process Model
rMosaicField	Mosaic Random Field
quad.object	Class of Quadrature Schemes
predict.rppm	Make Predictions From a Recursively Partitioned Point Process Model
simplify.owin	Approximate a Polygon by a Simpler Polygon
solist	List of Two-Dimensional Spatial Objects
solutionset	Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True
rmhmodel.ppm	Interpret Fitted Model for Metropolis-Hastings Simulation.
rppm	Recursively Partitioned Point Process Model
print.owin	Print Brief Details of a Spatial Window
residuals.ppm	Residuals for Fitted Point Process Model
requireversion	Require a Specific Version of a Package
rmpoispp	Generate Multitype Poisson Point Pattern
nnwhich.ppx	Nearest Neighbours in Any Dimensions
opening	Morphological Opening
pcf.ppp	Pair Correlation Function of Point Pattern
rshift	Random Shift
residuals.mppm	Residuals for Point Process Model Fitted to Multiple Point Patterns
rotate.im	Rotate a Pixel Image
ppp	Create a Point Pattern
rNeymanScott	Simulate Neyman-Scott Process
relrisk	Estimate of Spatially-Varying Relative Risk
plot.psp	plot a Spatial Line Segment Pattern
rmhstart	Determine Initial State for Metropolis-Hastings Simulation.
rlabel	Random Re-Labelling of Point Pattern
segregation.test	Test of Spatial Segregation of Types
rknn	Theoretical Distribution of Nearest Neighbour Distance
simulate.lppm	Simulate a Fitted Point Process Model on a Linear Network
rotate.infline	Rotate or Shift Infinite Lines
rsyst	Simulate systematic random point pattern
rtemper	Simulated Annealing or Simulated Tempering for Gibbs Point Processes
simulate.mppm	Simulate a Point Process Model Fitted to Several Point Patterns
solapply	Apply a Function Over a List and Obtain a List of Objects
selfcrossing.psp	Crossing Points in a Line Segment Pattern
scaletointerval	Rescale Data to Lie Between Specified Limits
slrm	Spatial Logistic Regression
rPenttinen	Perfect Simulation of the Penttinen Process
nobjects	Count Number of Geometrical Objects in a Spatial Dataset
pcf.fv	Pair Correlation Function obtained from K Function
plot.owin	Plot a Spatial Window
rStraussHard	Perfect Simulation of the Strauss-Hardcore Process
rectdistmap	Distance Map Using Rectangular Distance Metric
plot.kppm	Plot a fitted cluster point process
pcfinhom	Inhomogeneous Pair Correlation Function
ranef.mppm	Extract Random Effects from Point Process Model
rotate.psp	Rotate a Line Segment Pattern
reduced.sample	Reduced Sample Estimator using Histogram Data
setcov	Set Covariance of a Window
relrisk.ppm	Parametric Estimate of Spatially-Varying Relative Risk
rmpoint	Generate N Random Multitype Points
psstA	Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
plot.plotppm	Plot a plotppm Object Created by plot.ppm
reload.or.compute	Compute Unless Previously Saved
plot.influence.ppm	Plot Influence Measure
plot.envelope	Plot a Simulation Envelope
psst	Pseudoscore Diagnostic For Fitted Model against General Alternative
plot.fasp	Plot a Function Array
plot.quad	Plot a Spatial Quadrature Scheme
residuals.kppm	Residuals for Fitted Cox or Cluster Point Process Model
project2segment	Move Point To Nearest Line
pool.anylist	Pool Data from a List of Objects
ppp.object	Class of Point Patterns
quadrat.test.mppm	Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
progressreport	Print Progress Reports
rThomas	Simulate Thomas Process
quadrat.test	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quasirandom	Quasirandom Patterns
rPoissonCluster	Simulate Poisson Cluster Process
rcell	Simulate Baddeley-Silverman Cell Process
rQuasi	Generate Quasirandom Point Pattern in Given Window
rcellnumber	Generate Random Numbers of Points for Cell Process
relevel.im	Reorder Levels of a Factor-Valued Image or Pattern
rCauchy	Simulate Neyman-Scott Point Process with Cauchy cluster kernel
scanLRTS	Likelihood Ratio Test Statistic for Scan Test
shift.psp	Apply Vector Translation To Line Segment Pattern
rmhexpand	Specify Simulation Window or Expansion Rule
run.simplepanel	Run Point-and-Click Interface
spatdim	Spatial Dimension of a Dataset
spatialcdf	Spatial Cumulative Distribution Function
rotmean	Rotational Average of a Pixel Image
rpoislpp	Poisson Point Process on a Linear Network
scanpp	Read Point Pattern From Data File
runifdisc	Generate N Uniform Random Points in a Disc
rpoislinetess	Poisson Line Tessellation
sharpen	Data Sharpening of Point Pattern
sidelengths.owin	Side Lengths of Enclosing Rectangle of a Window
round.ppp	Apply Numerical Rounding to Spatial Coordinates
rmhmodel	Define Point Process Model for Metropolis-Hastings Simulation.
rho2hat	Smoothed Relative Density of Pairs of Covariate Values
rpoisline	Generate Poisson Random Line Process
rhohat	Nonparametric Estimate of Intensity as Function of a Covariate
rlinegrid	Generate grid of parallel lines with random displacement
rlpp	Random Points on a Linear Network
rpoint	Generate N Random Points
rounding	Detect Numerical Rounding
simulate.slrm	Simulate a Fitted Spatial Logistic Regression Model
shift.ppp	Apply Vector Translation To Point Pattern
shift.owin	Apply Vector Translation To Window
simulate.ppm	Simulate a Fitted Gibbs Point Process Model
Extract.fasp	Extract Subset of Function Array
Extract.lpp	Extract Subset of Point Pattern on Linear Network
Extract.msr	Extract Subset of Signed or Vector Measure
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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	2019-09-12
License	GPL (>= 2)
URL	http://www.spatstat.org
LazyData	true
NeedsCompilation	yes
ByteCompile	true
BugReports	https://github.com/spatstat/spatstat/issues
Packaged	2019-09-12 07:51:49 UTC; adrian
Repository	CRAN
Date/Publication	2019-09-22 18:20:03 UTC

imports	abind , deldir (>= 0.0-21) , goftest , Matrix , mgcv , polyclip (>= 1.10-0) , spatstat.utils (>= 1.13-0) , 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 (>= 1.4-0) , stats , utils
Contributors	Adrian Baddeley, Rolf Turner, Ege Rubak