spatstat v1.48-0

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by Adrian Baddeley

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

Nickname Model Prisoner
Date 2016-12-22
License GPL (>= 2)
URL http://www.spatstat.org
LazyData true
NeedsCompilation yes
ByteCompile true
BugReports https://github.com/spatstat/spatstat/issues
Packaged 2016-12-22 04:12:10 UTC; adrian
Repository CRAN
Date/Publication 2016-12-22 10:53:41

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