spatstat v1.57-1

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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.fasp	Extract Subset of Function Array
Extract.fv	Extract or Replace Subset of Function Values
Extract.linnet	Extract Subset of Linear Network
Extract.listof	Extract or Replace Subset of a List of Things
Gcom	Model Compensator of Nearest Neighbour Function
Gcross	Multitype Nearest Neighbour Distance Function (i-to-j)
HierHard	The Hierarchical Hard Core Point Process Model
HierStrauss	The Hierarchical Strauss Point Process Model
K3est	K-function of a Three-Dimensional Point Pattern
Kcom	Model Compensator of K Function
Kcross	Multitype K Function (Cross-type)
Kcross.inhom	Inhomogeneous Cross K Function
Kres	Residual K Function
Kmulti.inhom	Inhomogeneous Marked K-Function
Ldot.inhom	Inhomogeneous Multitype L Dot Function
LennardJones	The Lennard-Jones Potential
MultiStraussHard	The Multitype/Hard Core Strauss Point Process Model
Ops.msr	Arithmetic Operations on Measures
Smooth.ppp	Spatial smoothing of observations at irregular points
Smooth.ssf	Smooth a Spatially Sampled Function
Window	Extract or Change the Window of a Spatial Object
WindowOnly	Extract Window of Spatial Object
Emark	Diagnostics for random marking
anyNA.im	Check Whether Image Contains NA Values
Extract.anylist	Extract or Replace Subset of a List of Things
anylist	List of Objects
as.boxx	Convert Data to Multi-Dimensional Box
as.data.frame.envelope	Coerce Envelope to Data Frame
Extract.leverage.ppm	Extract Subset of Leverage Object
as.hyperframe	Convert Data to Hyperframe
as.hyperframe.ppx	Extract coordinates and marks of multidimensional point pattern
as.linnet.psp	Convert Line Segment Pattern to Linear Network
Extract.lpp	Extract Subset of Point Pattern on Linear Network
as.lpp	Convert Data to a Point Pattern on a Linear Network
as.ppm	Extract Fitted Point Process Model
Extract.linim	Extract Subset of Pixel Image on Linear Network
Extract.owin	Extract Subset of Window
Extract.msr	Extract Subset of Signed or Vector Measure
as.ppp	Convert Data To Class ppp
Extract.ppx	Extract Subset of Multidimensional Point Pattern
auc	Area Under ROC Curve
bc.ppm	Bias Correction for Fitted Model
bits.test	Balanced Independent Two-Stage Monte Carlo Test
blur	Apply Gaussian Blur to a Pixel Image
Extract.psp	Extract Subset of Line Segment Pattern
Extract.ppp	Extract or Replace Subset of Point Pattern
Jdot	Multitype J Function (i-to-any)
Gdot	Multitype Nearest Neighbour Distance Function (i-to-any)
Gest	Nearest Neighbour Distance Function G
Jest	Estimate the J-function
bw.CvL	Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
bw.diggle	Cross Validated Bandwidth Selection for Kernel Density
Kinhom	Inhomogeneous K-function
by.ppp	Apply a Function to a Point Pattern Broken Down by Factor
Ginhom	Inhomogeneous Nearest Neighbour Function
Gmulti	Marked Nearest Neighbour Distance Function
Kmark	Mark-Weighted K Function
Kmodel.ppm	K Function or Pair Correlation Function of Gibbs Point Process model
Kest	K-function
Kmulti	Marked K-Function
Kest.fft	K-function using FFT
Math.linim	S3 Group Generic Methods for Images on a Linear Network
cauchy.estK	Fit the Neyman-Scott cluster process with Cauchy kernel
clicklpp	Interactively Add Points on a Linear Network
MinkowskiSum	Minkowski Sum of Windows
Kscaled	Locally Scaled K-function
Ksector	Sector K-function
clickpoly	Interactively Define a Polygon
MultiHard	The Multitype Hard Core Point Process Model
MultiStrauss	The Multitype Strauss Point Process Model
Saturated	Saturated Pairwise Interaction model
Lcross.inhom	Inhomogeneous Cross Type L Function
coef.ppm	Coefficients of Fitted Point Process Model
Smooth	Spatial smoothing of data
Ldot	Multitype L-function (i-to-any)
coef.slrm	Coefficients of Fitted Spatial Logistic Regression Model
Pairwise	Generic Pairwise Interaction model
Fest	Estimate the Empty Space Function or its Hazard Rate
contour.im	Contour plot of pixel image
Penttinen	Penttinen Interaction
Kmodel.dppm	K-function or Pair Correlation Function of a Determinantal Point Process Model
affine.im	Apply Affine Transformation To Pixel Image
Smooth.fv	Apply Smoothing to Function Values
Smooth.msr	Smooth a Signed or Vector-Valued Measure
Smoothfun.ppp	Smooth Interpolation of Marks as a Spatial Function
Extract.splitppp	Extract or Replace Sub-Patterns
CDF	Cumulative Distribution Function From Kernel Density Estimate
Softcore	The Soft Core Point Process Model
Concom	The Connected Component Process Model
contour.imlist	Array of Contour Plots
affine.linnet	Apply Geometrical Transformations to a Linear Network
Extract.influence.ppm	Extract Subset of Influence Object
crossdist.default	Pairwise distances between two different sets of points
crossdist.lpp	Pairwise distances between two point patterns on a linear network
BadGey	Hybrid Geyer Point Process Model
AreaInter	The Area Interaction Point Process Model
cut.ppp	Classify Points in a Point Pattern
densityfun.ppp	Kernel Estimate of Intensity as a Spatial Function
data.ppm	Extract Original Data from a Fitted Point Process Model
DiggleGatesStibbard	Diggle-Gates-Stibbard Point Process Model
DiggleGratton	Diggle-Gratton model
[.ssf	Subset of spatially sampled function
density.splitppp	Kernel Smoothed Intensity of Split Point Pattern
distfun.lpp	Distance Map on Linear Network
dg.envelope	Global Envelopes for Dao-Genton Test
dg.progress	Progress Plot of Dao-Genton Test of Spatial Pattern
fitted.ppm	Fitted Conditional Intensity for Point Process Model
Extract.layered	Extract or Replace Subset of a Layered Object
append.psp	Combine Two Line Segment Patterns
Extract.tess	Extract or Replace Subset of Tessellation
affine.lpp	Apply Geometrical Transformations to Point Pattern on a Linear Network
applynbd	Apply Function to Every Neighbourhood in a Point Pattern
dppMatern	Whittle-Matern Determinantal Point Process Model
disc	Circular Window
anova.ppm	ANOVA for Fitted Point Process Models
affine.owin	Apply Affine Transformation To Window
F3est	Empty Space Function of a Three-Dimensional Point Pattern
Kdot	Multitype K Function (i-to-any)
is.owin	Test Whether An Object Is A Window
Finhom	Inhomogeneous Empty Space Function
FmultiInhom	Inhomogeneous Marked F-Function
Kmodel.kppm	K Function or Pair Correlation Function of Cluster Model or Cox model
PairPiece	The Piecewise Constant Pairwise Interaction Point Process Model
anova.slrm	Analysis of Deviance for Spatial Logistic Regression Models
areaLoss	Difference of Disc Areas
as.box3	Convert Data to Three-Dimensional Box
Extract.hyperframe	Extract or Replace Subset of Hyperframe
Extract.im	Extract Subset of Image
as.data.frame.owin	Convert Window to Data Frame
Hardcore	The Hard Core Point Process Model
discpartarea	Area of Part of Disc
as.data.frame.psp	Coerce Line Segment Pattern to a Data Frame
Extract.quad	Subset of Quadrature Scheme
distmap	Distance Map
Extract.solist	Extract or Replace Subset of a List of Spatial Objects
fasp.object	Function Arrays for Spatial Patterns
as.data.frame.ppp	Coerce Point Pattern to a Data Frame
Fiksel	The Fiksel Interaction
as.function.tess	Convert a Tessellation to a Function
Hest	Spherical Contact Distribution Function
envelope.envelope	Recompute Envelopes
dppPowerExp	Power Exponential Spectral Determinantal Point Process Model
as.fv	Convert Data To Class fv
as.data.frame.tess	Convert Tessellation to Data Frame
as.mask	Pixel Image Approximation of a Window
Frame	Extract or Change the Containing Rectangle of a Spatial Object
as.mask.psp	Convert Line Segment Pattern to Binary Pixel Mask
as.solist	Convert List of Two-Dimensional Spatial Objects
methods.lpp	Methods for Point Patterns on a Linear Network
G3est	Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
duplicated.ppp	Determine Duplicated Points in a Spatial Point Pattern
Geyer	Geyer's Saturation Point Process Model
edges	Extract Boundary Edges of a Window.
as.tess	Convert Data To Tessellation
as.im	Convert to Pixel Image
Gfox	Foxall's Distance Functions
GmultiInhom	Inhomogeneous Marked G-Function
as.interact	Extract Interaction Structure
Gres	Residual G Function
edge.Ripley	Ripley's Isotropic Edge Correction
Kdot.inhom	Inhomogeneous Multitype K Dot Function
coef.mppm	Coefficients of Point Process Model Fitted to Multiple Point Patterns
Replace.im	Reset Values in Subset of Image
Iest	Estimate the I-function
envelope	Simulation Envelopes of Summary Function
HierStraussHard	The Hierarchical Strauss Hard Core Point Process Model
Jinhom	Inhomogeneous J-function
Jmulti	Marked J Function
Jcross	Multitype J Function (i-to-j)
Kmeasure	Reduced Second Moment Measure
edge.Trans	Translation Edge Correction
as.psp	Convert Data To Class psp
as.rectangle	Window Frame
Math.im	S3 Group Generic methods for images
bdist.pixels	Distance to Boundary of Window
berman.test	Berman's Tests for Point Process Model
bdist.points	Distance to Boundary of Window
Hybrid	Hybrid Interaction Point Process Model
Kmodel	K Function or Pair Correlation Function of a Point Process Model
LambertW	Lambert's W Function
laslett	Laslett's Transform
bind.fv	Combine Function Value Tables
imcov	Spatial Covariance of a Pixel Image
branchlabelfun	Tree Branch Membership Labelling Function
cdf.test	Spatial Distribution Test for Point Pattern or Point Process Model
Lcross	Multitype L-function (cross-type)
cdf.test.mppm	Spatial Distribution Test for Multiple Point Process Model
box3	Three-Dimensional Box
bugfixes	List Recent Bug Fixes
Ord	Generic Ord Interaction model
grow.boxx	Add margins to box in any dimension
bw.scott	Scott's Rule for Bandwidth Selection for Kernel Density
collapse.fv	Collapse Several Function Tables into One
Replace.linim	Reset Values in Subset of Image on Linear Network
OrdThresh	Ord's Interaction model
Poisson	Poisson Point Process Model
SatPiece	Piecewise Constant Saturated Pairwise Interaction Point Process Model
fitted.slrm	Fitted Probabilities for Spatial Logistic Regression
colourmap	Colour Lookup Tables
Triplets	The Triplet Point Process Model
bw.smoothppp	Cross Validated Bandwidth Selection for Spatial Smoothing
harmonise.owin	Make Windows Compatible
circdensity	Density Estimation for Circular Data
Tstat	Third order summary statistic
Lest	L-function
clarkevans	Clark and Evans Aggregation Index
Linhom	L-function
fitin.ppm	Extract the Interaction from a Fitted Point Process Model
closepairs	Close Pairs of Points
closepairs.pp3	Close Pairs of Points in 3 Dimensions
Strauss	The Strauss Point Process Model
concatxy	Concatenate x,y Coordinate Vectors
affine.tess	Apply Geometrical Transformation To Tessellation
kppm	Fit Cluster or Cox Point Process Model
connected	Connected components
allstats	Calculate four standard summary functions of a point pattern.
closetriples	Close Triples of Points
StraussHard	The Strauss / Hard Core Point Process Model
closing	Morphological Closing
im.apply	Apply Function Pixelwise to List of Images
commonGrid	Determine A Common Spatial Domain And Pixel Resolution
grow.rectangle	Add margins to rectangle
covering	Cover Region with Discs
addvar	Added Variable Plot for Point Process Model
crossdist	Pairwise distances
harmonise.msr	Make Measures Compatible
crossdist.ppx	Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
alltypes	Calculate Summary Statistic for All Types in a Multitype Point Pattern
crossdist.psp	Pairwise distances between two different line segment patterns
default.expand	Default Expansion Rule for Simulation of Model
linearKdot.inhom	Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
is.marked.ppm	Test Whether A Point Process Model is Marked
compareFit	Residual Diagnostics for Multiple Fitted Models
affine	Apply Affine Transformation
adaptive.density	Intensity Estimate of Point Pattern Using Tessellation
default.rmhcontrol	Set Default Control Parameters for Metropolis-Hastings Algorithm.
area.owin	Area of a Window
detpointprocfamilyfun	Construct a New Determinantal Point Process Model Family Function
Math.imlist	S3 Group Generic methods for List of Images
deriv.fv	Calculate Derivative of Function Values
PPversion	Transform a Function into its P-P or Q-Q Version
im	Create a Pixel Image Object
lixellate	Subdivide Segments of a Network
connected.linnet	Connected Components of a Linear Network
angles.psp	Orientation Angles of Line Segments
im.object	Class of Images
areaGain	Difference of Disc Areas
diameter.box3	Geometrical Calculations for Three-Dimensional Box
nncross.pp3	Nearest Neighbours Between Two Patterns in 3D
connected.lpp	Connected Components of a Point Pattern on a Linear Network
as.function.fv	Convert Function Value Table to Function
inside.owin	Test Whether Points Are Inside A Window
integral.im	Integral of a Pixel Image
as.layered	Convert Data To Layered Object
diameter.boxx	Geometrical Calculations for Multi-Dimensional Box
linearKdot	Multitype K Function (Dot-type) for Linear Point Pattern
as.linfun	Convert Data to a Function on a Linear Network
crossing.linnet	Crossing Points between Linear Network and Other Lines
beachcolours	Create Colour Scheme for a Range of Numbers
dg.test	Dao-Genton Adjusted Goodness-Of-Fit Test
dirichlet	Dirichlet Tessellation of Point Pattern
dirichletAreas	Compute Areas of Tiles in Dirichlet Tessellation
emend.ppm	Force Point Process Model to be Valid
discretise	Safely Convert Point Pattern Window to Binary Mask
as.matrix.im	Convert Pixel Image to Matrix or Array
is.multitype.ppp	Test Whether A Point Pattern is Multitype
crossing.psp	Crossing Points of Two Line Segment Patterns
dg.sigtrace	Significance Trace of Dao-Genton Test
is.marked.ppp	Test Whether A Point Pattern is Marked
as.matrix.owin	Convert Pixel Image to Matrix
localKinhom	Inhomogeneous Neighbourhood Density Function
as.function.leverage.ppm	Convert Leverage Object to Function of Coordinates
delaunay	Delaunay Triangulation of Point Pattern
gridweights	Compute Quadrature Weights Based on Grid Counts
lengths.psp	Lengths of Line Segments
as.function.owin	Convert Window to Indicator Function
levelset	Level Set of a Pixel Image
border	Border Region of a Window
discs	Union of Discs
methods.distfun	Geometrical Operations for Distance Functions
affine.psp	Apply Affine Transformation To Line Segment Pattern
methods.linnet	Methods for Linear Networks
marktable	Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
markvario	Mark Variogram
nnwhich.ppx	Nearest Neighbours in Any Dimensions
dppBessel	Bessel Type Determinantal Point Process Model
as.linim	Convert to Pixel Image on Linear Network
bounding.box.xy	Convex Hull of Points
delaunayDistance	Distance on Delaunay Triangulation
as.linnet.linim	Extract Linear Network from Data on a Linear Network
dppCauchy	Generalized Cauchy Determinantal Point Process Model
bw.frac	Bandwidth Selection Based on Window Geometry
deltametric	Delta Metric
as.owin	Convert Data To Class owin
bw.pcf	Cross Validated Bandwidth Selection for Pair Correlation Function
affine.ppp	Apply Affine Transformation To Point Pattern
add.texture	Fill Plot With Texture
nnclean	Nearest Neighbour Clutter Removal
density.lpp	Kernel Estimate of Intensity on a Linear Network
gridcentres	Rectangular grid of points
dppapproxkernel	Approximate Determinantal Point Process Kernel
localK	Neighbourhood density function
as.polygonal	Convert a Window to a Polygonal Window
linearpcfcross	Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
distmap.psp	Distance Map of Line Segment Pattern
anova.lppm	ANOVA for Fitted Point Process Models on Linear Network
clarkevans.test	Clark and Evans Test
dppGauss	Gaussian Determinantal Point Process Model
clickbox	Interactively Define a Rectangle
endpoints.psp	Endpoints of Line Segment Pattern
dppm	Fit Determinantal Point Process Model
midpoints.psp	Midpoints of Line Segment Pattern
localpcf	Local pair correlation function
beginner	Print Introduction For Beginners
clusterkernel	Extract Cluster Offspring Kernel
begins	Check Start of Character String
boundingbox	Bounding Box of a Window, Image, or Point Pattern
foo	Foo is Not a Real Name
dppparbounds	Parameter Bound for a Determinantal Point Process Model
boundingcircle	Smallest Enclosing Circle
lurking	Lurking Variable Plot
kernel.factor	Scale factor for density kernel
anova.mppm	ANOVA for Fitted Point Process Models for Replicated Patterns
lut	Lookup Tables
divide.linnet	Divide Linear Network at Cut Points
bw.ppl	Likelihood Cross Validation Bandwidth Selection for Kernel Density
clip.infline	Intersect Infinite Straight Lines with a Window
bw.relrisk	Cross Validated Bandwidth Selection for Relative Risk Estimation
clusterradius	Compute or Extract Effective Range of Cluster Kernel
centroid.owin	Centroid of a window
markconnect	Mark Connection Function
chop.tess	Subdivide a Window or Tessellation using a Set of Lines
as.data.frame.hyperframe	Coerce Hyperframe to Data Frame
colouroutputs	Extract or Assign Colour Values in a Colour Map
hyperframe	Hyper Data Frame
mincontrast	Method of Minimum Contrast
pcfdot.inhom	Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
colourtools	Convert and Compare Colours in Different Formats
as.data.frame.im	Convert Pixel Image to Data Frame
bdist.tiles	Distance to Boundary of Window
clickdist	Interactively Measure Distance
eem	Exponential Energy Marks
as.function.im	Convert Pixel Image to Function of Coordinates
connected.ppp	Connected Components of a Point Pattern
clickjoin	Interactively join vertices on a plot
connected.tess	Connected Components of Tiles of a Tessellation
clusterfield	Field of clusters
convexify	Weil's Convexifying Operation
compatible	Test Whether Objects Are Compatible
clusterfit	Fit Cluster or Cox Point Process Model via Minimum Contrast
pairdist.pp3	Pairwise distances in Three Dimensions
convolve.im	Convolution of Pixel Images
compatible.fasp	Test Whether Function Arrays Are Compatible
headtail	First or Last Part of a Spatial Pattern
cut.im	Convert Pixel Image from Numeric to Factor
dppapproxpcf	Approximate Pair Correlation Function of Determinantal Point Process Model
dfbetas.ppm	Parameter Influence Measure
intensity	Intensity of a Dataset or a Model
effectfun	Compute Fitted Effect of a Spatial Covariate in a Point Process Model
cut.lpp	Classify Points in a Point Pattern on a Network
compileK	Generic Calculation of K Function and Pair Correlation Function
complement.owin	Take Complement of a Window
dclf.progress	Progress Plot of Test of Spatial Pattern
clusterset	Allard-Fraley Estimator of Cluster Feature
boxx	Multi-Dimensional Box
clickppp	Interactively Add Points
eroded.areas	Areas of Morphological Erosions
nestsplit	Nested Split
methods.dppm	Methods for Determinantal Point Process Models
dclf.sigtrace	Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
diagnose.ppm	Diagnostic Plots for Fitted Point Process Model
lgcp.estpcf	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
edit.ppp	Invoke Text Editor on Spatial Data
convexhull	Convex Hull
eval.im	Evaluate Expression Involving Pixel Images
nncross.lpp	Nearest Neighbours on a Linear Network
dclf.test	Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
lineardisc	Compute Disc of Given Radius in Linear Network
intensity.ppm	Intensity of Fitted Point Process Model
nsegments	Number of Line Segments in a Line Segment Pattern
fvnames	Abbreviations for Groups of Columns in Function Value Table
convexhull.xy	Convex Hull of Points
ellipse	Elliptical Window.
eval.linim	Evaluate Expression Involving Pixel Images on Linear Network
density.psp	Kernel Smoothing of Line Segment Pattern or Linear Network
default.dummy	Generate a Default Pattern of Dummy Points
dilation	Morphological Dilation
dppspecdenrange	Range of Spectral Density of a Determinantal Point Process Model
density.ppp	Kernel Smoothed Intensity of Point Pattern
dim.detpointprocfamily	Dimension of Determinantal Point Process Model
dimhat	Estimate Dimension of Central Subspace
emend	Force Model to be Valid
envelopeArray	Array of Simulation Envelopes of Summary Function
has.close	Check Whether Points Have Close Neighbours
bw.stoyan	Stoyan's Rule of Thumb for Bandwidth Selection
distmap.owin	Distance Map of Window
cbind.hyperframe	Combine Hyperframes by Rows or by Columns
distmap.ppp	Distance Map of Point Pattern
by.im	Apply Function to Image Broken Down by Factor
dkernel	Kernel distributions and random generation
formula.fv	Extract or Change the Plot Formula for a Function Value Table
eval.fv	Evaluate Expression Involving Functions
intensity.lpp	Empirical Intensity of Point Pattern on Linear Network
plot.ssf	Plot a Spatially Sampled Function
pp3	Three Dimensional Point Pattern
insertVertices	Insert New Vertices in a Linear Network
diameter.linnet	Diameter and Bounding Radius of a Linear Network
dilated.areas	Areas of Morphological Dilations
pairdist.lpp	Pairwise shortest-path distances between points on a linear network
cauchy.estpcf	Fit the Neyman-Scott cluster process with Cauchy kernel
crossdist.ppp	Pairwise distances between two different point patterns
diameter.owin	Diameter of a Window
linearKinhom	Inhomogeneous Linear K Function
deletebranch	Delete or Extract a Branch of a Tree
is.lpp	Test Whether An Object Is A Point Pattern on a Linear Network
compatible.fv	Test Whether Function Objects Are Compatible
gauss.hermite	Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
dmixpois	Mixed Poisson Distribution
dppeigen	Internal function calculating eig and index
plot.ppm	plot a Fitted Point Process Model
leverage.ppm	Leverage Measure for Spatial Point Process Model
fitted.lppm	Fitted Intensity for Point Process on Linear Network
dppspecden	Extract Spectral Density from Determinantal Point Process Model Object
coords	Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
logLik.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
dppkernel	Extract Kernel from Determinantal Point Process Model Object
hybrid.family	Hybrid Interaction Family
linearpcfinhom	Inhomogeneous Linear Pair Correlation Function
nnwhich.pp3	Nearest neighbours in three dimensions
erosionAny	Morphological Erosion of Windows
exactMPLEstrauss	Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
fitted.mppm	Fitted Conditional Intensity for Multiple Point Process Model
hist.funxy	Histogram of Values of a Spatial Function
harmonise.fv	Make Function Tables Compatible
intersect.owin	Intersection, Union or Set Subtraction of Windows
edges2triangles	List Triangles in a Graph
rmhstart	Determine Initial State for Metropolis-Hastings Simulation.
is.hybrid	Test Whether Object is a Hybrid
hist.im	Histogram of Pixel Values in an Image
compatible.im	Test Whether Pixel Images Are Compatible
infline	Infinite Straight Lines
edges2vees	List Dihedral Triples in a Graph
edit.hyperframe	Invoke Text Editor on Hyperframe
formula.ppm	Model Formulae for Gibbs Point Process Models
intersect.tess	Intersection of Two Tessellations
npoints	Number of Points in a Point Pattern
kernel.moment	Moment of Smoothing Kernel
envelope.pp3	Simulation Envelopes of Summary Function for 3D Point Pattern
envelope.lpp	Envelope for Point Patterns on Linear Network
identify.psp	Identify Segments in a Line Segment Pattern
harmonise.im	Make Pixel Images Compatible
pairsat.family	Saturated Pairwise Interaction Point Process Family
corners	Corners of a rectangle
eval.fasp	Evaluate Expression Involving Function Arrays
rat	Ratio object
plot.listof	Plot a List of Things
intensity.quadratcount	Intensity Estimates Using Quadrat Counts
is.dppm	Recognise Fitted Determinantal Point Process Models
expand.owin	Apply Expansion Rule
pcfdot	Multitype pair correlation function (i-to-any)
methods.fii	Methods for Fitted Interactions
hopskel	Hopkins-Skellam Test
methods.linfun	Methods for Functions on Linear Network
is.marked	Test Whether Marks Are Present
is.empty	Test Whether An Object Is Empty
marks	Marks of a Point Pattern
pixellate.psp	Convert Line Segment Pattern to Pixel Image
is.rectangle	Determine Type of Window
inside.boxx	Test Whether Points Are Inside A Multidimensional Box
dffit.ppm	Case Deletion Effect Measure of Fitted Model
fourierbasis	Fourier Basis Functions
maxnndist	Compute Minimum or Maximum Nearest-Neighbour Distance
crossdist.pp3	Pairwise distances between two different three-dimensional point patterns
increment.fv	Increments of a Function
plot.im	Plot a Pixel Image
pairwise.family	Pairwise Interaction Process Family
logLik.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
is.stationary	Recognise Stationary and Poisson Point Process Models
delaunayNetwork	Linear Network of Delaunay Triangulation or Dirichlet Tessellation
markcrosscorr	Mark Cross-Correlation Function
fardist	Farthest Distance to Boundary of Window
pixelquad	Quadrature Scheme Based on Pixel Grid
linearK	Linear K Function
predict.kppm	Prediction from a Fitted Cluster Point Process Model
harmonic	Basis for Harmonic Functions
is.connected	Determine Whether an Object is Connected
linnet	Create a Linear Network
dirichletVertices	Vertices and Edges of Dirichlet Tessellation
msr	Signed or Vector-Valued Measure
is.im	Test Whether An Object Is A Pixel Image
linearmarkconnect	Mark Connection Function for Multitype Point Pattern on Linear Network
plot.hyperframe	Plot Entries in a Hyperframe
diameter	Diameter of an Object
plot.splitppp	Plot a List of Point Patterns
plot.kppm	Plot a fitted cluster point process
intensity.dppm	Intensity of Determinantal Point Process Model
fixef.mppm	Extract Fixed Effects from Point Process Model
marks.psp	Marks of a Line Segment Pattern
methods.zclustermodel	Methods for Cluster Models
flipxy	Exchange X and Y Coordinates
rPoissonCluster	Simulate Poisson Cluster Process
plot.tess	Plot a Tessellation
methods.boxx	Methods for Multi-Dimensional Box
erosion	Morphological Erosion by a Disc
fv	Create a Function Value Table
plot.lintess	Plot a Tessellation on a Linear Network
markcorr	Mark Correlation Function
dummify	Convert Data to Numeric Values by Constructing Dummy Variables
fryplot	Fry Plot of Point Pattern
ppm	Fit Point Process Model to Data
distcdf	Distribution Function of Interpoint Distance
intensity.psp	Empirical Intensity of Line Segment Pattern
methods.funxy	Methods for Spatial Functions
is.connected.ppp	Determine Whether a Point Pattern is Connected
istat	Point and Click Interface for Exploratory Analysis of Point Pattern
plot.textstring	Plot a Text String
intensity.ppp	Empirical Intensity of Point Pattern
plot.ppp	plot a Spatial Point Pattern
nndist.pp3	Nearest neighbour distances in three dimensions
fv.object	Function Value Table
dirichletWeights	Compute Quadrature Weights Based on Dirichlet Tessellation
project2segment	Move Point To Nearest Line
kernel.squint	Integral of Squared Kernel
predict.lppm	Predict Point Process Model on Linear Network
methods.box3	Methods for Three-Dimensional Box
model.frame.ppm	Extract the Variables in a Point Process Model
rags	Alternating Gibbs Sampler for Multitype Point Processes
print.ppm	Print a Fitted Point Process Model
plot.pp3	Plot a Three-Dimensional Point Pattern
opening	Morphological Opening
runifdisc	Generate N Uniform Random Points in a Disc
print.ppp	Print Brief Details of a Point Pattern Dataset
km.rs	Kaplan-Meier and Reduced Sample Estimator using Histograms
influence.ppm	Influence Measure for Spatial Point Process Model
idw	Inverse-distance weighted smoothing of observations at irregular points
hextess	Hexagonal Grid or Tessellation
pcf	Pair Correlation Function
matclust.estpcf	Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
domain	Extract the Domain of any Spatial Object
hierpair.family	Hierarchical Pairwise Interaction Process Family
distfun	Distance Map as a Function
methods.ppx	Methods for Multidimensional Space-Time Point Patterns
mean.im	Mean and Median of Pixel Values in an Image
lgcp.estK	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
linearpcfcross.inhom	Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
ragsAreaInter	Alternating Gibbs Sampler for Area-Interaction Process
invoke.symbolmap	Plot Data Using Graphics Symbol Map
matrixpower	Power of a Matrix
layered	Create List of Plotting Layers
dummy.ppm	Extract Dummy Points Used to Fit a Point Process Model
interp.im	Interpolate a Pixel Image
intensity.ppx	Intensity of a Multidimensional Space-Time Point Pattern
is.convex	Test Whether a Window is Convex
is.multitype	Test whether Object is Multitype
improve.kppm	Improve Intensity Estimate of Fitted Cluster Point Process Model
ippm	Fit Point Process Model Involving Irregular Trend Parameters
incircle	Find Largest Circle Inside Window
linim	Create Pixel Image on Linear Network
nnmap	K-th Nearest Point Map
logLik.mppm	Log Likelihood and AIC for Multiple Point Process Model
is.subset.owin	Determine Whether One Window is Contained In Another
plot.laslett	Plot Laslett Transform
quantile.density	Quantiles of a Density Estimate
interp.colourmap	Interpolate smoothly between specified colours
layerplotargs	Extract or Replace the Plot Arguments of a Layered Object
ewcdf	Weighted Empirical Cumulative Distribution Function
nndist.lpp	Nearest neighbour distances on a linear network
lintess	Tessellation on a Linear Network
predict.rppm	Make Predictions From a Recursively Partitioned Point Process Model
quadrat.test.mppm	Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
multiplicity.ppp	Count Multiplicity of Duplicate Points
joinVertices	Join Vertices in a Network
nnmark	Mark of Nearest Neighbour
lpp	Create Point Pattern on Linear Network
methods.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
is.ppp	Test Whether An Object Is A Point Pattern
project2set	Find Nearest Point in a Region
methods.rhohat	Methods for Intensity Functions of Spatial Covariate
linequad	Quadrature Scheme on a Linear Network
kaplan.meier	Kaplan-Meier Estimator using Histogram Data
quantile.ewcdf	Quantiles of Weighted Empirical Cumulative Distribution Function
rotate.infline	Rotate or Shift Infinite Lines
plot.solist	Plot a List of Spatial Objects
parres	Partial Residuals for Point Process Model
model.images	Compute Images of Constructed Covariates
funxy	Spatial Function Class
lineardirichlet	Dirichlet Tessellation on a Linear Network
nnwhich	Nearest neighbour
logLik.ppm	Log Likelihood and AIC for Point Process Model
perimeter	Perimeter Length of Window
lppm	Fit Point Process Model to Point Pattern on Linear Network
is.multitype.ppm	Test Whether A Point Process Model is Multitype
quadrat.test.splitppp	Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
linfun	Function on a Linear Network
reload.or.compute	Compute Unless Previously Saved
lurking.mppm	Lurking Variable Plot for Multiple Point Patterns
methods.slrm	Methods for Spatial Logistic Regression Models
mergeLevels	Merge Levels of a Factor
methods.kppm	Methods for Cluster Point Process Models
harmonise	Make Objects Compatible
periodify	Make Periodic Copies of a Spatial Pattern
nnwhich.lpp	Identify Nearest Neighbours on a Linear Network
plot.dppm	Plot a fitted determinantal point process
ord.family	Ord Interaction Process Family
is.ppm	Test Whether An Object Is A Fitted Point Process Model
layout.boxes	Generate a Row or Column Arrangement of Rectangles.
rtemper	Simulated Annealing or Simulated Tempering for Gibbs Point Processes
rHardcore	Perfect Simulation of the Hardcore Process
integral.linim	Integral on a Linear Network
plot.cdftest	Plot a Spatial Distribution Test
pairs.im	Scatterplot Matrix for Pixel Images
nndist.ppx	Nearest Neighbour Distances in Any Dimensions
owin	Create a Window
plot.envelope	Plot a Simulation Envelope
rPenttinen	Perfect Simulation of the Penttinen Process
matchingdist	Distance for a Point Pattern Matching
rmpoint	Generate N Random Multitype Points
rlpp	Random Points on a Linear Network
matclust.estK	Fit the Matern Cluster Point Process by Minimum Contrast
nvertices	Count Number of Vertices
shift.owin	Apply Vector Translation To Window
methods.pp3	Methods for three-dimensional point patterns
relrisk	Estimate of Spatially-Varying Relative Risk
model.matrix.mppm	Extract Design Matrix of Point Process Model for Several Point Patterns
pairdist.psp	Pairwise distances between line segments
pcf.fasp	Pair Correlation Function obtained from array of K functions
pairdist.default	Pairwise distances
lohboot	Bootstrap Confidence Bands for Summary Function
rotate.owin	Rotate a Window
mppm	Fit Point Process Model to Several Point Patterns
polynom	Polynomial in One or Two Variables
plot.mppm	plot a Fitted Multiple Point Process Model
residuals.mppm	Residuals for Point Process Model Fitted to Multiple Point Patterns
pcf.ppp	Pair Correlation Function of Point Pattern
methods.layered	Methods for Layered Objects
rmh	Simulate point patterns using the Metropolis-Hastings algorithm.
rthin	Random Thinning
pcf3est	Pair Correlation Function of a Three-Dimensional Point Pattern
run.simplepanel	Run Point-and-Click Interface
model.matrix.slrm	Extract Design Matrix from Spatial Logistic Regression Model
methods.unitname	Methods for Units
qqplot.ppm	Q-Q Plot of Residuals from Fitted Point Process Model
rounding	Detect Numerical Rounding
rGaussPoisson	Simulate Gauss-Poisson Process
shift.im	Apply Vector Translation To Pixel Image
nndensity.ppp	Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
nndist	Nearest neighbour distances
nnfromvertex	Nearest Data Point From Each Vertex in a Network
identify.ppp	Identify Points in a Point Pattern
plot.plotppm	Plot a plotppm Object Created by plot.ppm
rlabel	Random Re-Labelling of Point Pattern
plot.symbolmap	Plot a Graphics Symbol Map
pairs.linim	Scatterplot Matrix for Pixel Images on a Linear Network
predict.slrm	Predicted or Fitted Values from Spatial Logistic Regression
nndist.psp	Nearest neighbour distances between line segments
pixelcentres	Extract Pixel Centres as Point Pattern
shift.ppp	Apply Vector Translation To Point Pattern
logLik.slrm	Loglikelihood of Spatial Logistic Regression
pool.quadrattest	Pool Several Quadrat Tests
inforder.family	Infinite Order Interaction Family
methods.ssf	Methods for Spatially Sampled Functions
rNeymanScott	Simulate Neyman-Scott Process
plot.slrm	Plot a Fitted Spatial Logistic Regression
plot.colourmap	Plot a Colour Map
measureVariation	Positive and Negative Parts, and Variation, of a Measure
npfun	Dummy Function Returns Number of Points
model.matrix.ppm	Extract Design Matrix from Point Process Model
nnfun	Nearest Neighbour Index Map as a Function
pixellate.owin	Convert Window to Pixel Image
pairdist	Pairwise distances
rLGCP	Simulate Log-Gaussian Cox Process
plot.layered	Layered Plot
rMosaicSet	Mosaic Random Set
integral.msr	Integral of a Measure
iplot	Point and Click Interface for Displaying Spatial Data
predict.mppm	Prediction for Fitted Multiple Point Process Model
methods.linim	Methods for Images on a Linear Network
linearpcfdot.inhom	Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
linearmarkequal	Mark Connection Function for Multitype Point Pattern on Linear Network
markstat	Summarise Marks in Every Neighbourhood in a Point Pattern
latest.news	Print News About Latest Version of Package
nobjects	Count Number of Geometrical Objects in a Spatial Dataset
pixellate.ppp	Convert Point Pattern to Pixel Image
pool.rat	Pool Data from Several Ratio Objects
nnorient	Nearest Neighbour Orientation Distribution
padimage	Pad the Border of a Pixel Image
owin.object	Class owin
plot.msr	Plot a Signed or Vector-Valued Measure
ragsMultiHard	Alternating Gibbs Sampler for Multitype Hard Core Process
plot.scan.test	Plot Result of Scan Test
plot.leverage.ppm	Plot Leverage Function
plot.texturemap	Plot a Texture Map
print.psp	Print Brief Details of a Line Segment Pattern Dataset
linearKcross	Multitype K Function (Cross-type) for Linear Point Pattern
quad.object	Class of Quadrature Schemes
plot.rppm	Plot a Recursively Partitioned Point Process Model
ppx	Multidimensional Space-Time Point Pattern
plot.studpermutest	Plot a Studentised Permutation Test
persp.im	Perspective Plot of Pixel Image
plot.linim	Plot Pixel Image on Linear Network
quadscheme	Generate a Quadrature Scheme from a Point Pattern
psp.object	Class of Line Segment Patterns
perspPoints	Draw Points or Lines on a Surface Viewed in Perspective
nnfun.lpp	Nearest Neighbour Map on Linear Network
linearKcross.inhom	Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
ppmInfluence	Leverage and Influence Measures for Spatial Point Process Model
predict.dppm	Prediction from a Fitted Determinantal Point Process Model
rotate.ppp	Rotate a Point Pattern
psp	Create a Line Segment Pattern
pool	Pool Data
quasirandom	Quasirandom Patterns
plot.linnet	Plot a linear network
rectdistmap	Distance Map Using Rectangular Distance Metric
segregation.test	Test of Spatial Segregation of Types
ppm.ppp	Fit Point Process Model to Point Pattern Data
quantile.im	Sample Quantiles of Pixel Image
linearpcf	Linear Pair Correlation Function
residuals.kppm	Residuals for Fitted Cox or Cluster Point Process Model
plot.yardstick	Plot a Yardstick or Scale Bar
print.quad	Print a Quadrature Scheme
psib	Sibling Probability of Cluster Point Process
predict.ppm	Prediction from a Fitted Point Process Model
pppmatching	Create a Point Matching
rescale.owin	Convert Window to Another Unit of Length
rDiggleGratton	Perfect Simulation of the Diggle-Gratton Process
nncorr	Nearest-Neighbour Correlation Indices of Marked Point Pattern
rcell	Simulate Baddeley-Silverman Cell Process
prune.rppm	Prune a Recursively Partitioned Point Process Model
nncross	Nearest Neighbours Between Two Patterns
pcf.fv	Pair Correlation Function obtained from K Function
rpoisline	Generate Poisson Random Line Process
mean.linim	Mean, Median, Quantiles of Pixel Values on a Linear Network
rSSI	Simulate Simple Sequential Inhibition
ppp	Create a Point Pattern
linearpcfdot	Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
requireversion	Require a Specific Version of a Package
rshift.psp	Randomly Shift a Line Segment Pattern
selfcrossing.psp	Crossing Points in a Line Segment Pattern
rpoislinetess	Poisson Line Tessellation
measureContinuous	Discrete and Continuous Components of a Measure
plot.lpp	Plot Point Pattern on Linear Network
overlap.owin	Compute Area of Overlap
pppmatching.object	Class of Point Matchings
ranef.mppm	Extract Random Effects from Point Process Model
rpoint	Generate N Random Points
ppm.object	Class of Fitted Point Process Models
rThomas	Simulate Thomas Process
pairorient	Point Pair Orientation Distribution
pcfinhom	Inhomogeneous Pair Correlation Function
rescale.im	Convert Pixel Image to Another Unit of Length
ppp.object	Class of Point Patterns
marks.tess	Marks of a Tessellation
nearestsegment	Find Line Segment Nearest to Each Point
relevel.im	Reorder Levels of a Factor-Valued Image or Pattern
plot.fasp	Plot a Function Array
objsurf	Objective Function Surface
methods.lppm	Methods for Fitted Point Process Models on a Linear Network
pairdist.ppp	Pairwise distances
psst	Pseudoscore Diagnostic For Fitted Model against General Alternative
plot.onearrow	Plot an Arrow
rCauchy	Simulate Neyman-Scott Point Process with Cauchy cluster kernel
pcfmulti	Marked pair correlation function
quadrats	Divide Region into Quadrats
miplot	Morisita Index Plot
points.lpp	Draw Points on Existing Plot
pixellate	Convert Spatial Object to Pixel Image
rlinegrid	Generate grid of parallel lines with random displacement
rQuasi	Generate Quasirandom Point Pattern in Given Window
roc	Receiver Operating Characteristic
methods.objsurf	Methods for Objective Function Surfaces
sessionLibs	Print Names and Version Numbers of Libraries Loaded
rmpoispp	Generate Multitype Poisson Point Pattern
rmhcontrol	Set Control Parameters for Metropolis-Hastings Algorithm.
rescale	Convert dataset to another unit of length
plot.lppm	Plot a Fitted Point Process Model on a Linear Network
simplepanel	Simple Point-and-Click Interface Panels
rectcontact	Contact Distribution Function using Rectangular Structuring Element
rknn	Theoretical Distribution of Nearest Neighbour Distance
residuals.ppm	Residuals for Fitted Point Process Model
rjitter	Random Perturbation of a Point Pattern
rex	Richardson Extrapolation
rmh.default	Simulate Point Process Models using the Metropolis-Hastings Algorithm.
rpoisppx	Generate Poisson Point Pattern in Any Dimensions
sidelengths.owin	Side Lengths of Enclosing Rectangle of a Window
plot.fv	Plot Function Values
rVarGamma	Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
rmhexpand	Specify Simulation Window or Expansion Rule
rotate.psp	Rotate a Line Segment Pattern
plot.quad	Plot a Spatial Quadrature Scheme
rmh.ppm	Simulate from a Fitted Point Process Model
plot.psp	plot a Spatial Line Segment Pattern
rose	Rose Diagram
rppm	Recursively Partitioned Point Process Model
pool.envelope	Pool Data from Several Envelopes
model.depends	Identify Covariates Involved in each Model Term
solist	List of Two-Dimensional Spatial Objects
simulate.mppm	Simulate a Point Process Model Fitted to Several Point Patterns
pcfcross.inhom	Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
solutionset	Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True
pool.anylist	Pool Data from a List of Objects
runifpointx	Generate N Uniform Random Points in Any Dimensions
plot.imlist	Plot a List of Images
selfcut.psp	Cut Line Segments Where They Intersect
nearest.raster.point	Find Pixel Nearest to a Given Point
pairdist.ppx	Pairwise Distances in Any Dimensions
simulate.lppm	Simulate a Fitted Point Process Model on a Linear Network
profilepl	Fit Models by Profile Maximum Pseudolikelihood or AIC
simplify.owin	Approximate a Polygon by a Simpler Polygon
panel.contour	Panel Plots using Colour Image or Contour Lines
pppdist	Distance Between Two Point Patterns
scalardilate	Apply Scalar Dilation
quadrat.test	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
plot.owin	Plot a Spatial Window
shift	Apply Vector Translation
raster.x	Cartesian Coordinates for a Pixel Raster
parameters	Extract Model Parameters in Understandable Form
pool.fasp	Pool Data from Several Function Arrays
psstA	Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
rMaternII	Simulate Matern Model II
pcfcross	Multitype pair correlation function (cross-type)
plot.bermantest	Plot Result of Berman Test
plot.anylist	Plot a List of Things
print.owin	Print Brief Details of a Spatial Window
range.fv	Range of Function Values
print.im	Print Brief Details of an Image
regularpolygon	Create A Regular Polygon
pseudoR2	Calculate Pseudo-R-Squared for Point Process Model
rnoise	Random Pixel Noise
rDGS	Perfect Simulation of the Diggle-Gates-Stibbard Process
quad.ppm	Extract Quadrature Scheme Used to Fit a Point Process Model
rshift.splitppp	Randomly Shift a List of Point Patterns
plot.quadrattest	Display the result of a quadrat counting test.
rpoispp3	Generate Poisson Point Pattern in Three Dimensions
rStrauss	Perfect Simulation of the Strauss Process
rescale.psp	Convert Line Segment Pattern to Another Unit of Length
rgbim	Create Colour-Valued Pixel Image
plot.influence.ppm	Plot Influence Measure
sdr	Sufficient Dimension Reduction
plot.quadratcount	Plot Quadrat Counts
spatialcdf	Spatial Cumulative Distribution Function
shift.psp	Apply Vector Translation To Line Segment Pattern
runiflpp	Uniform Random Points on a Linear Network
rpoisppOnLines	Generate Poisson Point Pattern on Line Segments
runifpoint	Generate N Uniform Random Points
pool.fv	Pool Several Functions
spatdim	Spatial Dimension of a Dataset
sdrPredict	Compute Predictors from Sufficient Dimension Reduction
rMosaicField	Mosaic Random Field
quadratcount	Quadrat counting for a point pattern
progressreport	Print Progress Reports
pointsOnLines	Place Points Evenly Along Specified Lines
psstG	Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
rescale.ppp	Convert Point Pattern to Another Unit of Length
rmhmodel.ppm	Interpret Fitted Model for Metropolis-Hastings Simulation.
reflect	Reflect In Origin
rstrat	Simulate Stratified Random Point Pattern
rMatClust	Simulate Matern Cluster Process
quantess	Quantile Tessellation
rotate	Rotate
quadscheme.logi	Generate a Logistic Regression Quadrature Scheme from a Point Pattern
reach	Interaction Distance of a Point Process
residuals.dppm	Residuals for Fitted Determinantal Point Process Model
relrisk.ppp	Nonparametric Estimate of Spatially-Varying Relative Risk
rdpp	Simulation of a Determinantal Point Process
rmhmodel.list	Define Point Process Model for Metropolis-Hastings Simulation.
reach.dppm	Range of Interaction for a Determinantal Point Process Model
setcov	Set Covariance of a Window
quadratresample	Resample a Point Pattern by Resampling Quadrats
reduced.sample	Reduced Sample Estimator using Histogram Data
relrisk.ppm	Parametric Estimate of Spatially-Varying Relative Risk
rcellnumber	Generate Random Numbers of Points for Cell Process
scaletointerval	Rescale Data to Lie Between Specified Limits
rpoislpp	Poisson Point Process on a Linear Network
rMaternI	Simulate Matern Model I
rStraussHard	Perfect Simulation of the Strauss-Hardcore Process
rshift	Random Shift
rho2hat	Smoothed Relative Density of Pairs of Covariate Values
rotate.im	Rotate a Pixel Image
rescue.rectangle	Convert Window Back To Rectangle
rotmean	Rotational Average of a Pixel Image
slrm	Spatial Logistic Regression
rhohat	Smoothing Estimate of Intensity as Function of a Covariate
rmhmodel	Define Point Process Model for Metropolis-Hastings Simulation.
round.ppp	Apply Numerical Rounding to Spatial Coordinates
ripras	Estimate window from points alone
rshift.ppp	Randomly Shift a Point Pattern
scan.test	Spatial Scan Test
sharpen	Data Sharpening of Point Pattern
rsyst	Simulate systematic random point pattern
simulate.dppm	Simulation of Determinantal Point Process Model
scanLRTS	Likelihood Ratio Test Statistic for Scan Test
simulate.kppm	Simulate a Fitted Cluster Point Process Model
solapply	Apply a Function Over a List and Obtain a List of Objects
rmhmodel.default	Build Point Process Model for Metropolis-Hastings Simulation.
rpoispp	Generate Poisson Point Pattern
runifpoint3	Generate N Uniform Random Points in Three Dimensions
scanpp	Read Point Pattern From Data File
runifpointOnLines	Generate N Uniform Random Points On Line Segments
simulate.ppm	Simulate a Fitted Gibbs Point Process Model
simulate.slrm	Simulate a Fitted Spatial Logistic Regression Model
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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	2018-11-03
License	GPL (>= 2)
URL	http://www.spatstat.org
LazyData	true
NeedsCompilation	yes
ByteCompile	true
BugReports	https://github.com/spatstat/spatstat/issues
Packaged	2018-11-03 04:19:28 UTC; adrian
Repository	CRAN
Date/Publication	2018-11-04 17:10:03 UTC

imports	abind , deldir (>= 0.0-21) , goftest , Matrix , mgcv , polyclip (>= 1.5-0) , 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