Multitype J Function (i-to-any)
Estimate the empty space function F
Corners of a rectangle
ANOVA for Fitted Point Process Models
The Lennard-Jones Potential
The Soft Core Point Process Model
Diggle-Gratton model
Estimate the I-function
The Multitype/Hard Core Strauss Point Process Model
Harkness-Isham ants' nests data
Beta Ganglion Cells in Cat Retina
Estimate the J-function
Calculate four standard summary functions of a point pattern.
Calculate Statistic for All Types in a Multitype Point Pattern
Saturated Pairwise Interaction model
Determine Duplicated Points in a Spatial Point Pattern
Multitype K Function (Cross-type)
Generic Pairwise Interaction model
Multitype Nearest Neighbour Distance Function (i-to-j)
Orientation Angles of Line Segments
Create a Pixel Image Object
Pairwise distances between two different point patterns
K-function
Apply Affine Transformation To Point Pattern
Berman-Huntington points and lines data
Geyer's Saturation Point Process Model
Ord's Interaction model
Apply Affine Transformation To Line Segment Pattern
Distance to Boundary of Window
Expand Window By Factor
Bounding Box of a Window
Data Frames of Function Values
Convert to Pixel Image
Erode a Window
Reduced Second Moment Measure
Artificial Data Point Pattern
Plot a Pixel Image
Simulate Matern Model II
Create a Window
Endpoints of Line Segment Pattern
Combine Two Line Segment Patterns
Convert Pixel Image to Matrix
Generate a Quadrature Scheme from a Point Pattern
Humberside Data on Childhood Leukaemia and Lymphoma
Evaluate Expression Involving Functions
Pairwise Interaction Process Family
Determine Whether One Window is Contained In Another
Centroid of a window
Histogram of Pixel Values in an Image
Plot a Spatial Window
Poisson Point Process Model
Window in Shape of Letter R
Class owin
Simulate Thomas Process
Chorley-Ribble Cancer Data
Pairwise distances
Prediction from a Fitted Point Process Model
Biological Cells Point Pattern
Estimate window from points alone
Apply Vector Translation To Point Pattern
Sample Quantiles of Pixel Image
Simulate point patterns using the Metropolis-Hastings algorithm.
Simulation envelopes of summary function
Count Multiplicity of Duplicate Points
Define Point Process Model for Metropolis-Hastings Simulation.
The Spatstat Package
Extract Original Data from a Fitted Point Process Model
Pairwise distances
Generate N Random Points
Rectangular grid of points
The Multitype Strauss Point Process Model
Pair Correlation Function
Simulated Point Pattern
Plot a plotppm Object Created by plot.ppm
Print Brief Details of a Point Pattern Dataset
Kernel Smoothed Intensity of Point Pattern
Basis for Harmonic Functions
Optimal Match Between Two Point Patterns
Print Brief Details of a Spatial Window
Square Window
Deprecated spatstat functions
Take Complement of a Window
Kernel Smoothing of Line Segment Pattern
Rotate a Window
Evaluate Expression Involving Pixel Images
Nearest Neighbour Distance Function G
Inhomogeneous K-function
Rotate a Line Segment Pattern
Pairwise distances
Crossing Points in a Line Segment Pattern
Kaplan-Meier Estimator using Histogram Data
Lengths of Line Segments
Rotate a Point Pattern
Multitype Nearest Neighbour Distance Function (i-to-any)
Extract Subset of Function Array
Apply Function to Every Neighbourhood in a Point Pattern
Kaplan-Meier and Reduced Sample Estimator using Histograms
Level Set of a Pixel Image
Identify Points in a Point Pattern
Test Whether An Object Is A Window
Distance to Boundary of Window
Random Shift
New Zealand Trees Point Pattern
Pairwise distances
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Convert Data To Class psp
Apply Affine Transformation To Window
Pair Correlation Function of Point Pattern
Test Whether An Object Is A Fitted Point Process Model
Random Thinning
Mark Correlation Function
Apply Vector Translation To Line Segment Pattern
Test Whether Two Pixel Images Are Compatible
Simulate Stratified Random Point Pattern
Pairwise distances between two different line segment patterns
Mean Pixel Value in an Image
Print Brief Details of an Image
Determine Initial State for Metropolis-Hastings Simulation.
Apply Vector Translation To Window
Simulate from a Fitted Point Process Model
Convert Point Pattern Marks from Numeric to Factor
Area of a Window
Diagnostic Plots for Fitted Point Process Model
Convert Data To Class ppp
Exponential Energy Marks
Test Whether Marks Are Present
Convert Pixel Image from Numeric to Factor
Beta Ganglion Cells in Cat Retina, Old Version
Intersection or Union of Two Windows
Aherne's hamster tumour data
Test Whether A Point Pattern is Marked
Marked Nearest Neighbour Distance Function
Multitype K Function (i-to-any)
Ord Interaction Process Family
K-function using FFT
Pairwise distances between line segments
Generic Ord Interaction model
Hughes' Amacrine Cell Data
Summarise Marks in Every Neighbourhood in a Point Pattern
Pixel Image Approximation of a Window
plot a Spatial Line Segment Pattern
Create a Line Segment Pattern
Nearest neighbour distances
Window Frame
Create a Point Pattern
Hutchings' Bramble Canes data
Quadrat counting for a point pattern
Residuals for Fitted Point Process Model
Extract Unique Points from a Spatial Point Pattern
Simulate Neyman-Scott Process
Summarizing a Pixel Image
Set Covariance of a Window
Simulate Baddeley-Silverman Cell Process
Nearest neighbour
Pairwise distances between two different sets of points
Pine saplings in Finland.
Test Whether An Object Is A Point Pattern
Class of Point Patterns
Find Pixel Nearest to a Given Point
Generate Poisson Random Line Process
Simulate Matern Cluster Process
Method of Minimum Contrast
Internal Options in Spatstat Package
Apply Vector Translation
Extract or Replace Subset of Point Pattern
Generate Poisson Point Pattern
Crossing Points of Two Line Segment Patterns
Function Arrays for Spatial Patterns
Test Whether An Object Is A Pixel Image
Fit the Thomas Point Process by Minimum Contrast
Coefficients of Fitted Point Process Model
Concatenate x,y Coordinate Vectors
Compute Quadrature Weights Based on Grid Counts
Distance Map
Fit Point Process Model to Data
Simulate Matern Model I
Superimpose Several Point Patterns
Reduced Sample Estimator using Histogram Data
Summarizing a Quadrature Scheme
Midpoints of Line Segment Pattern
Union of Data and Dummy Points
Set or Reset the Marks in a Point Pattern
Perspective Plot of Pixel Image
Summary of a Line Segment Pattern Dataset
California Redwoods Point Pattern (Ripley's Subset)
Generate N Uniform Random Points
Summarizing a Fitted Point Process Model
Randomly Shift a Line Segment Pattern
Variance-Covariance Matrix for a Fitted Point Process Model
Apply Vector Translation To Pixel Image
Extract Subset of Function Values
Divide Point Pattern into Sub-patterns
Multitype J Function (i-to-j)
Compute Quadrature Weights Based on Dirichlet Tessellation
Remove Marks from a Marked Point Pattern
Distance Map of Window
Class of Images
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Print a Fitted Point Process Model
Class of Line Segment Patterns
Perfect Simulation of the Strauss Process
Print a Quadrature Scheme
Read Point Pattern From Data File
Sufficient Statistic of Point Process Model
Spruces Point Pattern
Simulate systematic random point pattern
Update a Fitted Point Process Model
Extract Subset of Line Segment Pattern
Marked K-Function
The Piecewise Constant Pairwise Interaction Point Process Model
The Strauss / Hard Core Point Process Model
Test Whether Points Are Inside A Window
Lurking variable plot
Plot Function Valuesn
Set Control Parameters for Metropolis-Hastings Algorithm.
Data and Code From JRSS Discussion Paper on Residuals
Areas of Morphological Erosions
Marked J Function
Fitted Conditional Intensity for Point Process Model
Test Whether A Point Process Model is Marked
Nearest Neighbour in Another Point Pattern
plot a Spatial Quadrature Scheme
plot a Spatial Point Pattern
Profile Maximum Pseudolikelihood
Class of Quadrature Schemes
Generate N Random Multitype Points
Lansing Woods Point Pattern
Spokes pattern of dummy points
Convert Window Back To Rectangle
Apply Affine Transformation
Convert Data To Class owin
Generate a Default Pattern of Dummy Points
Interactively Add Points
Test Whether Two Function Objects Are Compatible
Extract Dummy Points Used to Fit a Point Process Model
Dilate a Window
Tropical rain forest trees
Diameter of a Window Frame
Print Brief Details of a Line Segment Pattern Dataset
Distance Map of Point Pattern
Inhomogeneous Cross K Function
Inhomogeneous Multitype K Dot Function
The Strauss Point Process Model
Summary of a Point Pattern Dataset
Randomly Shift a List of Point Patterns
Class of Fitted Point Process Models
Extract Quadrature Scheme Used to Fit a Point Process Model
Simulate Simple Sequential Inhibition
Plot a Function Array
Saturated Pairwise Interaction Point Process Family
Pair Correlation Function obtained from K Function
plot a Fitted Point Process Model
Japanese Pines Point Pattern
Cartesian Coordinates for a Pixel Raster
Internal spatstat functions
Longleaf Pines Point Pattern
Randomly Shift a Point Pattern
Chi-Squared Dispersion Test for Spatial Point Pattern Based on
Quadrat Counts
Q-Q Plot of Residuals from Fitted Point Process Model
Distance Map of Line Segment Pattern
Generate Multitype Poisson Point Pattern
Plot a List of Point Patterns
Swedish Pines Point Pattern
Nearest-Neighbour Correlation of Marked Point Pattern
Random Re-Labelling of Point Pattern
Summary of a Spatial Window
Extract Subset of Image
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
California Redwoods Point Pattern (Entire Dataset)
Rotate
Fit the Matern Cluster Point Process by Minimum Contrast
Pair Correlation Function obtained from array of K functions
Interaction Distance of a Point Process