spatstat v1.59-0

0

Monthly downloads

0th

Percentile

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

Vignettes of spatstat

Name
bugfixes.Rnw
datasets.Rnw
getstart.Rnw
hexagon.eps
hexagon.pdf
irregpoly.eps
irregpoly.pdf
replicated.Rnw
shapefiles.Rnw
updates.Rnw
No Results!

Last month downloads

Details

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/spatstat)](http://www.rdocumentation.org/packages/spatstat)