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