Divide Point Pattern into Sub-patterns
Variance-Covariance Matrix for a Fitted Point Process Model
Remove Marks
Inhomogeneous Cross K Function
Extract Subset of Function Values
The Triplet Point Process Model
Orientation Angles of Line Segments
Hughes' Amacrine Cell Data
Pixel Image Approximation of a Window
Convert Data To Tessellation
Test Whether Pixel Images Are Compatible
Pairwise distances between two different sets of points
Name for Unit of Length
Delaunay Triangulation of Point Pattern
Summarizing a Pixel Image
Identify Pixelwise Maximum of Several Pixel Images
Kernel Smoothed Intensity of Point Pattern
Summarizing a Quadrature Scheme
Diagnostic Plots for Fitted Point Process Model
Test Expansion Rule
Extract Subset of Function Array
Extract Subset of Point Pattern on Linear Network
Geyer's Saturation Point Process Model
Marked J Function
Generic Pairwise Interaction model
The Strauss / Hard Core Point Process Model
Multitype K Function (Cross-type)
Apply Affine Transformation To Pixel Image
Inhomogeneous Marked K-Function
Inverse-distance weighted smoothing of observations at irregular points
Test Whether An Object Is A Pixel Image
L-function
Subdivide a Window or Tessellation using a Set of Lines
Test Whether A Point Pattern is Multitype
The Piecewise Constant Pairwise Interaction Point Process Model
Convert Pixel Image to Matrix or Array
Ord's Interaction model
Extract Interaction Structure
Methods for Linear Networks
Multi-Dimensional Box
Berman-Huntington points and lines data
Pairwise distances
Fit the Neyman-Scott cluster process with Cauchy kernel
Cross Validated Bandwidth Selection for Spatial Smoothing
Convex Hull of Points
Delta Metric
Evaluate Expression Involving Pixel Images
Influenza Virus Proteins
Pairwise Distances in Any Dimensions
Interactively join vertices on a plot
Plot a List of Things
Class of Images
Fit the Neyman-Scott cluster process with Cauchy kernel
Function Arrays for Spatial Patterns
Plot a fitted cluster point process
Biological Cells Point Pattern
Gorilla Nesting Sites
Interactively Add Points
Test Whether A Point Process Model is Marked
Prediction from a Fitted Cluster Point Process Model
Test Whether Marks Are Present
Define Point Process Model for Metropolis-Hastings Simulation.
Point and Click Interface for Displaying a Point Pattern
Test Whether Function Arrays Are Compatible
Determine Type of Window
Lansing Woods Point Pattern
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
Test Whether Objects Are Compatible
Log Likelihood and AIC for Point Process Model
Square Window
Create a Tessellation
Update a Fitted Point Process Model
Check Whether Point Process Model is Valid
Create a Pixel Image Object
Volume of an Object
Extract Design Matrix from Point Process Model
Exchange X and Y Coordinates
Humberside Data on Childhood Leukaemia and Lymphoma
Create a Linear Network
Nearest Neighbours in Any Dimensions
Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns
Make Periodic Copies of a Spatial Pattern
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Linear Pair Correlation Function
Extract Subset of Signed or Vector Measure
Pairwise distances
Convert Line Segment Pattern to Pixel Image
Class owin
Force Point Process Model to be Valid
Extract or Replace Subset of Tessellation
Methods for Intensity Functions of Spatial Covariate
Inhomogeneous Multitype L Dot Function
The Multitype/Hard Core Strauss Point Process Model
Analysis of Deviance for Spatial Logistic Regression Models
Mosaic Random Field
Plot a Fitted Spatial Logistic Regression
Multitype pair correlation function (cross-type)
Pairwise distances in Three Dimensions
Summarizing a Fitted Point Process Model
Cut margins from rectangle
Plot Function Values
ANOVA for Fitted Point Process Models
plot a Spatial Point Pattern
Perfect Simulation of the Hardcore Process
Smoothed Relative Density of Pairs of Covariate Values
Coefficients of Fitted Point Process Model
Spatial Scan Test
Randomly Shift a List of Point Patterns
Extract Subset of Multidimensional Point Pattern
Diggle-Gratton model
Convert and Compare Colours in Different Formats
Mosaic Random Set
Apply Vector Translation To Window
Poisson Point Process Model
Convex Hull
Extract Subset of Image
Reset Values in Subset of Image
Empty Space Function of a Three-Dimensional Point Pattern
Pairwise distances between two different three-dimensional point patterns
Simulate Thomas Process
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
Distance to Boundary of Window
Apply a Function to a Point Pattern Broken Down by Factor
Model Compensator of K Function
Poisson Point Process on a Linear Network
Morphological Erosion
Apply Expansion Rule
Rotate a Window
Function Value Table
Reduced Second Moment Measure
Fry Plot of Point Pattern
Saturated Pairwise Interaction model
The Strauss Point Process Model
Divide Multidimensional Point Pattern into Sub-patterns
Galaxies in the Shapley Supercluster
Variance-Covariance Matrix for a Fitted Cluster Point Process Model
Convolution of Pixel Images
Envelope for Point Patterns on Linear Network
Find Largest Circle Inside Window
Intensity Estimate of Point Pattern Using Tessellation
Locally Scaled K-function
Test Whether A Point Pattern is Marked
Apply Affine Transformation To Point Pattern
Difference of Disc Areas
Determine Whether One Window is Contained In Another
Identify Segments in a Line Segment Pattern
Morishita Index Plot
Area of a Window
Maximum, Minimum, Mean, Median, Range or Sum
of Pixel Values in an Image
Nearest neighbour distances
Morphological Opening
Distance to Boundary of Window
Take Complement of a Window
Border Region of a Window
Corners of a rectangle
Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
Clark and Evans Aggregation Index
Compute Images of Constructed Covariates
Convex Hull of Points
Methods for Intensity Functions of Two Spatial Covariates
Midpoints of Line Segment Pattern
Dirichlet Tessellation of Point Pattern
Optimise Irregular Trend Parameters in Point Process Model
Scatterplot Matrix for Pixel Images
plot a Spatial Line Segment Pattern
Pairwise distances between line segments
Prediction from a Fitted Point Process Model
Classify Points in a Point Pattern
Print a Fitted Point Process Model
Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Update Control Parameters of Metropolis-Hastings Algorithm
Find Pixel Nearest to a Given Point
Extract or Replace Sub-Patterns
Urkiola Woods Point Pattern
Chi-Squared Test of CSR for Split Point Pattern
The Multitype Hard Core Point Process Model
Distance Map
Kaplan-Meier Estimator using Histogram Data
Exponential Energy Marks
The Soft Core Point Process Model
Plot Influence Measure
Q-Q Plot of Residuals from Fitted Point Process Model
Create a Point Pattern
Extract the Interaction from a Fitted Point Process Model
Convert Point Pattern to Pixel Image
Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
Print Brief Details of an Image
Generate Poisson Point Pattern
Print Brief Details of a Spatial Window
Interpret Fitted Model for Metropolis-Hastings Simulation.
Pseudoscore Diagnostic For Fitted Model against General Alternative
Determine Initial State for Metropolis-Hastings Simulation.
Rotate
Pine saplings in Finland.
Diggle's Heather Data
ANOVA for Fitted Point Process Models on Linear Network
Convert Function Value Table to Function
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Beadlet Anemones Data
Set Covariance of a Window
Infinite Straight Lines
Chicago Street Crime Data
Random Thinning
Clark and Evans Test
Randomly Shift a Point Pattern
Point and Click Interface for Exploratory Analysis of Point Pattern
Kolmogorov-Smirnov Test for Point Process Model
Perfect Simulation of the Diggle-Gates-Stibbard Process
Crossing Points in a Line Segment Pattern
Apply Vector Translation
Convert dataset to another unit of length
Residuals for Fitted Point Process Model
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Convert Window to Pixel Image
Ord Interaction Process Family
Extract Dummy Points Used to Fit a Point Process Model
Generate Multitype Poisson Point Pattern
Evaluate Expression Involving Function Arrays
Weighted Empirical Cumulative Distribution Function
Print News About Latest Version of Package
California Redwoods Point Pattern (Entire Dataset)
Fit Cluster or Cox Point Process Model
Compute Integral of Function Against Cumulative Distribution
Extract or Replace Subset of a List of Things
Combine Two Line Segment Patterns
Convert Window to Another Unit of Length
Apply Vector Translation To Point Pattern
Multitype Nearest Neighbour Distance Function (i-to-any)
Spherical Contact Distribution Function
The Lennard-Jones Potential
Build Point Process Model for Metropolis-Hastings Simulation.
Difference of Disc Areas
Convert a Window to a Polygonal Window
Specify Simulation Window or Expansion Rule
Piecewise Constant Saturated Pairwise Interaction Point Process Model
Linear K Function
Generate N Random Points
Create Point Pattern on Linear Network
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
Identify Covariates Involved in each Model Term
Apply Vector Translation To Line Segment Pattern
Perspective Plot of Pixel Image
Convert Data to Three-Dimensional Box
Coerce Point Pattern to a Data Frame
Pairwise distances
Pairwise distances between two different point patterns
Convert Data To Class psp
Extract Original Data from a Fitted Point Process Model
Convert Line Segment Pattern to Binary Pixel Mask
Kernel Smoothed Intensity of Split Point Pattern
Multidimensional Space-Time Point Pattern
Influence Measure for Spatial Point Process Model
Spatial smoothing of observations at irregular points
Simulate Matern Cluster Process
Simulate Log-Gaussian Cox Process
Infinite Order Interaction Family
Pair Correlation Function obtained from K Function
Convert Line Segment Pattern to Another Unit of Length
Test Whether a Window is Convex
Methods for Point Patterns on a Linear Network
Kaplan-Meier and Reduced Sample Estimator using Histograms
Methods for three-dimensional point patterns
Methods for Units
Generate N Uniform Random Points in Three Dimensions
Number of Line Segments in a Line Segment Pattern
Inhomogeneous Linear K Function
Mark Connection Function
Loglikelihood of Spatial Logistic Regression
Generate N Uniform Random Points On Line Segments
Lurking variable plot
Apply Scalar Dilation
Simulate a Fitted Cluster Point Process Model
Fit the Matern Cluster Point Process by Minimum Contrast
Uniform Random Points on a Linear Network
Murchison gold deposits
Pool Data from Several Function Arrays
Quadrat counting for a point pattern
Distance Between Two Point Patterns
Random Perturbation of a Point Pattern
Find Line Segment Nearest to Each Point
Pair Correlation Function of Point Pattern
plot a Fitted Point Process Model
Print Brief Details of a Point Pattern Dataset
Set Control Parameters for Metropolis-Hastings Algorithm.
Nonparametric Estimate of Spatially-Varying Relative Risk
Simulate systematic random point pattern
Generate N Uniform Random Points
Create Colour-Valued Pixel Image
Rotate a Line Segment Pattern
Superimpose Several Geometric Patterns
Generate N Uniform Random Points in Any Dimensions
Diagnostics for random marking
Estimate the J-function
The Hard Core Point Process Model
The Spatstat Package
Divide Image Into Sub-images
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
K function of a model
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Internal Options in Spatstat Package
Evaluate an Expression in a Function Table
Extract List of Tiles in a Tessellation
Smooth a Signed or Vector-Valued Measure
Multitype Nearest Neighbour Distance Function (i-to-j)
Convert to Pixel Image
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
Rounding of Pixel Values
Combine Hyperframes by Rows or by Columns
Plot a List of Things
Diggle-Gates-Stibbard Point Process Model
Hybrid Geyer Point Process Model
Apply Affine Transformation To Window
Scott's Rule for Bandwidth Selection for Kernel Density
Contour plot of pixel image
The Fiksel Interaction
Convert Data to Hyperframe
Distance Map of Line Segment Pattern
Evaluate Expression Involving Functions
Tropical rain forest trees
Nearest Neighbour Distance Function G
Diameter of an Object
Hutchings' Bramble Canes data
Test Whether A Point Process Model is Multitype
Model Formulae for Gibbs Point Process Models
Spokes pattern of dummy points
Test Whether An Object Is A Window
Compute Quadratic Forms
Determine A Common Spatial Domain And Pixel Resolution
Pixel Values Along a Transect
Evaluate an Expression in Each Row of a Hyperframe
Convert Data to Numeric Values by Constructing Dummy Variables
Foxall's Distance Functions
Residual G Function
Safely Convert Point Pattern Window to Binary Mask
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
The Area Interaction Point Process Model
Connected components of an image or window
Interpolate a Pixel Image
Marked K-Function
Multitype L-function (i-to-any)
Convert Pixel Image from Numeric to Factor
Inhomogeneous Neighbourhood Density Function
Inhomogeneous Linear Pair Correlation Function
Crossing Points of Two Line Segment Patterns
Recognise Stationary and Poisson Point Process Models
Methods for Multi-Dimensional Box
Distance Map of Point Pattern
Third order summary statistic
Move Point To Nearest Line
Residual K Function
Cartesian Coordinates for a Pixel Raster
Concatenate x,y Coordinate Vectors
Berman's Tests for Point Process Model
Coerce Line Segment Pattern to a Data Frame
Apply Gaussian Blur to a Pixel Image
Residual Diagnostics for Multiple Fitted Models
Recompute Envelopes
Create List of Plotting Layers
Leverage Measure for Spatial Point Process Model
Generate a Default Pattern of Dummy Points
Methods for Distance Functions
Determine Duplicated Points in a Spatial Point Pattern
Methods for Spatial Logistic Regression Models
Bounding Box of a Window or Point Pattern
Areas of Morphological Erosions
Count Multiplicity of Duplicate Points
Theoretical Distribution of Nearest Neighbour Distance
Smoothing Estimate of Covariate Transformation
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Nearest Neighbour Clutter Removal
Generate Poisson Point Pattern in Three Dimensions
Nearest neighbour distances in three dimensions
Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
Circumradius and Diameter of a Linear Network
Generate N Uniform Random Points in a Disc
Apply Vector Translation To Pixel Image
Pairwise distances
Convert Spatial Object to Pixel Image
Fitted Conditional Intensity for Point Process Model
Interactively Define a Polygon
Integral of a Pixel Image
Circular Window
Plot a Simulation Envelope
plot a Spatial Quadrature Scheme
Japanese Pines Point Pattern
Plot a plotppm Object Created by plot.ppm
Level Set of a Pixel Image
Generate a Quadrature Scheme from a Point Pattern
Compute Quadrature Weights Based on Dirichlet Tessellation
Local pair correlation function
Perfect Simulation of the Strauss Process
Define Point Process Model for Metropolis-Hastings Simulation.
Read Point Pattern From Data File
Simulate a Fitted Spatial Logistic Regression Model
Simulate a Fitted Gibbs Point Process Model
Spatial Covariance of a Pixel Image
Data Sharpening of Point Pattern
Simulated Point Pattern
Intersection, Union or Set Subtraction of Two Windows
Apply Smoothing to Function Values
Test Whether An Object Is A Fitted Point Process Model
Methods for Cluster Point Process Models
Compute Disc of Given Radius in Linear Network
Generate N Random Multitype Points
Multitype pair correlation function (i-to-any)
Poisson Line Tessellation
Plot a Colour Map
Profile Maximum Pseudolikelihood
Random Shift
Create Pixel Image on Linear Network
Simulate point patterns using the Metropolis-Hastings algorithm.
Mark Correlation Integral
Nearest Neighbours Between Two Patterns
Dummy Function Returns Number of Points
Print Brief Details of a Line Segment Pattern Dataset
Calculate four standard summary functions of a point pattern.
Inhomogeneous Cross Type L Function
Inhomogeneous Multitype K Dot Function
Saturated Pairwise Interaction Point Process Family
Multitype L-function (cross-type)
Convert Pixel Image to Data Frame
Pairwise Interaction Process Family
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Pair Correlation Function of a Three-Dimensional Point Pattern
Pair Correlation Function obtained from array of K functions
Distance to Boundary of Window
Plot a three-dimensional point pattern
Chorley-Ribble Cancer Data
Centroid of a window
Intersect Infinite Straight Lines with a Window
Colour Lookup Tables
Pool Data from Several Ratio Objects
Plot a List of Point Patterns
Class of Point Matchings
Set Default Control Parameters for Metropolis-Hastings Algorithm.
Print Progress Reports
Default Expansion Rule for Simulation of Model
Distance Map as a Function
Aherne's hamster tumour data
Class of Line Segment Patterns
Create a Function Value Table
Simulate Gauss-Poisson Process
California Redwoods Point Pattern (Ripley's Subset)
Reflect In Origin
Lengths of Line Segments
Mark Correlation Function
Plot Result of Berman Test
Place Points Evenly Along Specified Lines
Plot a Signed or Vector-Valued Measure
Three Dimensional Point Pattern
Fit Point Process Model to Data
Convert Pixel Image to Another Unit of Length
Class of Quadrature Schemes
Random Re-Labelling of Point Pattern
Rotate a Point Pattern
Generate Poisson Point Pattern on Line Segments
Spruces Point Pattern
Internal spatstat functions
Fit the Thomas Point Process by Minimum Contrast
L-function
Compute Areas of Tiles in a Tessellation
Generic Ord Interaction model
Window Frame
Bronze gradient filter data
Collapse Several Function Tables into One
Summary of a Spatial Window
Test Whether Function Objects Are Compatible
Estimate the I-function
Summary of a Split Point Pattern
Multitype K Function (i-to-any)
The Multitype Strauss Point Process Model
Make Pixel Images Compatible
Lookup Tables
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Signed or Vector-Valued Measure
Stoyan's Rule of Thumb for Bandwidth Selection
Nearest Neighbour Distances in Any Dimensions
Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Geometrical Calculations for Multi-Dimensional Box
Fit Point Process Model to Point Pattern on Linear Network
Histogram of Pixel Values in an Image
Print a Quadrature Scheme
Inhomogeneous Pair Correlation Function
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Chi-Squared Dispersion Test for Spatial Point Pattern Based on
Quadrat Counts
Nearest neighbours in three dimensions
Perimeter Length of Window
Plot Pixel Image on Linear Network
Layered Plot
Create a Point Matching
Simulate Matern Model II
Simulate Matern Model I
Interaction Distance of a Point Process
Convert Point Pattern to Another Unit of Length
Predict Point Process Model on Linear Network
Estimate window from points alone
Resample a Point Pattern by Resampling Quadrats
Ratio object
Generate grid of parallel lines with random displacement
Simulate Baddeley-Silverman Cell Process
Approximate a Polygon by a Simpler Polygon
Generate Poisson Random Line Process
Summary of a Point Pattern Dataset
Union of Data and Dummy Points
Triplet Interaction Family
Weighted Histogram
Multitype J Function (i-to-j)
Inhomogeneous K-function
Apply Affine Transformation
Convert Pixel Image to Matrix
Three-Dimensional Box
Cross Validated Bandwidth Selection for Relative Risk Estimation
Apply Function to Image Broken Down by Factor
Morphological Closing
Parameter influence measure
Distance Map of Window
Test Whether Points Are Inside A Window
Fit the Thomas Point Process by Minimum Contrast
Intersection of Two Tessellations
Swedish Pines Point Pattern
Test Whether An Object Is Empty
Create a Window
Nearest Neighbour Distance Distribution Function
of a Three-Dimensional Point Pattern
Predicted or Fitted Values from Spatial Logistic Regression
Marked Nearest Neighbour Distance Function
Plot Entries in a Hyperframe
K-function using FFT
Harkness-Isham ants' nests data
Extract Quadrature Scheme Used to Fit a Point Process Model
Extract coordinates and marks of multidimensional point pattern
Perfect Simulation of the Strauss-Hardcore Process
Convert Data To Class owin
Sample Quantiles of Pixel Image
Rescale Data to Lie Between Specified Limits
Convert Data To Class ppp
Cross Validated Bandwidth Selection for Kernel Density
Artificial Data Point Pattern
Diameter of a Window
List Triangles in a Graph
Test Whether An Object Is A Point Pattern
Nearest neighbour
Summarise Marks in Every Neighbourhood in a Point Pattern
New Zealand Trees Point Pattern
Plot Leverage Function
Plot a tessellation
Ponderosa Pine Tree Point Pattern
Pool Data from Several Envelopes
Class of Point Patterns
Divide Region into Quadrats
Simulate Neyman-Scott Process
Plot a linear network
Reduced Sample Estimator using Histogram Data
Spatial Logistic Regression
Update a Fitted Cluster Point Process Model
Estimate Variance of Summary Statistic by Subdivision
K-function of a Three-Dimensional Point Pattern
Subset of Quadrature Scheme
Apply Function to Every Neighbourhood in a Point Pattern
Beta Ganglion Cells in Cat Retina
Simulation Envelopes of Summary Function for 3D Point Pattern
Simulation Envelopes of Summary Function
Fitted Probabilities for Spatial Logistic Regression
Test whether Object is Multitype
Hyper Data Frame
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Identify Points in a Point Pattern
Window in Shape of Letter R
Methods for Multidimensional Space-Time Point Patterns
Bootstrap Confidence Bands for Summary Function
Point Patterns of New Brunswick Forest Fires
Marks of a Line Segment Pattern
Methods for Three-Dimensional Box
Quadrature Scheme Based on Pixel Grid
Plot a Spatial Kolmogorov-Smirnov Test
Perfect Simulation of the Diggle-Gratton Process
Simulate Poisson Cluster Process
Data and Code From JRSS Discussion Paper on Residuals
Simulate from a Fitted Point Process Model
Generate Poisson Point Pattern in Any Dimensions
Class of Fitted Point Process Models
Deprecated spatstat functions
Summary of a List of Things
Summary of a Line Segment Pattern Dataset
Extract or Replace Subset of Point Pattern
Weighted kernel smoother
Extract Subset of Line Segment Pattern
Estimate the empty space function F
Model Compensator of Nearest Neighbour Function
K-function
Apply Affine Transformation To Line Segment Pattern
Pairwise distances between two different line segment patterns
Coefficients of Fitted Spatial Logistic Regression Model
Kernel Smoothing of Line Segment Pattern
Areas of Morphological Dilations
Endpoints of Line Segment Pattern
Neighbourhood density function
Basis for Harmonic Functions
Compute Quadrature Weights Based on Grid Counts
Longleaf Pines Point Pattern
Methods for Fitted Point Process Models on a Linear Network
Method of Minimum Contrast
Number of Points in a Point Pattern
Distance for a Point Pattern Matching
Nearest neighbour distances between line segments
Pairwise shortest-path distances between points on
a linear network
Plot a Pixel Image
Pool Data
Plot a Function Array
Convert Window Back To Rectangle
Simple Example of Linear Network
Extract the Variables in a Point Process Model
Convert Polygonal Region into Different Format
Pair Correlation Function
Extract Unique Points from a Spatial Point Pattern
Simulate Neyman-Scott Point Process with Cauchy cluster kernel
Morphological Dilation
Create a Line Segment Pattern
Coerce Hyperframe to Data Frame
Sufficient Statistic of Point Process Model
Mark Variogram
Geometrical Calculations for Three-Dimensional Box
Simulate Simple Sequential Inhibition
Area of Part of Disc
Simulate Stratified Random Point Pattern
Vertices of a Window
Combine Function Value Tables
Beta Ganglion Cells in Cat Retina, Old Version
Multitype J Function (i-to-any)
Rectangular grid of points
Marks of a Point Pattern
Plot a Spatial Window
Randomly Shift a Line Segment Pattern