Apply Affine Transformation To Window
Apply Geometrical Transformations to Point Pattern on a Linear Network
Fill Plot With Texture
Intensity Estimate of Point Pattern Using Tessellation
Apply Geometrical Transformations to a Linear Network
Apply Affine Transformation
Apply Affine Transformation To Pixel Image
Added Variable Plot for Point Process Model
Apply Affine Transformation To Point Pattern
Apply Affine Transformation To Line Segment Pattern
Beadlet Anemones Data
Hughes' Amacrine Cell Data
Orientation Angles of Line Segments
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Calculate four standard summary functions of a point pattern.
Apply Geometrical Transformation To Tessellation
ANOVA for Fitted Point Process Models
ANOVA for Fitted Point Process Models on Linear Network
Analysis of Deviance for Spatial Logistic Regression Models
ANOVA for Fitted Point Process Models for Replicated Patterns
Apply Function to Every Neighbourhood in a Point Pattern
Combine Two Line Segment Patterns
Convert Data to Three-Dimensional Box
Check Whether Image Contains NA Values
Area of a Window
Difference of Disc Areas
Harkness-Isham ants' nests data
Difference of Disc Areas
The Area Interaction Point Process Model
Convert Tessellation to Data Frame
Convert Function Value Table to Function
Convert Data to a Function on a Linear Network
Convert to Pixel Image on Linear Network
Bias Correction for Fitted Model
Distance to Boundary of Window
Convert Data to Multi-Dimensional Box
Coerce Hyperframe to Data Frame
Convert a Window to a Polygonal Window
Extract Fitted Point Process Model
Convert Data To Tessellation
Area Under ROC Curve
Breakdown Spots in Microelectronic Materials
Bounding Box of a Window, Image, or Point Pattern
Create Colour Scheme for a Range of Numbers
Convex Hull of Points
Likelihood Cross Validation Bandwidth Selection for Kernel Density
Bandwidth Selection Based on Window Geometry
Convert Window to Data Frame
Convert Pixel Image to Data Frame
Extract coordinates and marks of multidimensional point pattern
Convert to Pixel Image
Window Frame
Convert Pixel Image to Matrix or Array
Convert Line Segment Pattern to Binary Pixel Mask
List of Objects
Convert List of Two-Dimensional Spatial Objects
Convert Data To Class ppp
Convert Data To Layered Object
Extract Interaction Structure
Convert Data To Class psp
Print Introduction For Beginners
Convert a Tessellation to a Function
Convert Pixel Image to Function of Coordinates
Spatial Distribution Test for Point Pattern or Point Process Model
Pixel Image Approximation of a Window
Convert Data to Hyperframe
Convert Data to a Point Pattern on a Linear Network
Convert Data To Class fv
Spatial Distribution Test for Multiple Point Process Model
Clark and Evans Aggregation Index
Clark and Evans Test
Compute or Extract Effective Range of Cluster Kernel
Convert and Compare Colours in Different Formats
Colour Lookup Tables
Allard-Fraley Estimator of Cluster Feature
Berman-Huntington points and lines data
Convex Hull
Array of Contour Plots
Classify Points in a Point Pattern on a Network
Copy Data Files for Example
Classify Points in a Point Pattern
Apply Gaussian Blur to a Pixel Image
Border Region of a Window
Biological Cells Point Pattern
Apply a Function to a Point Pattern Broken Down by Factor
Apply Function to Image Broken Down by Factor
Centroid of a window
Interactively Add Points
Intersect Infinite Straight Lines with a Window
Morphological Closing
Field of clusters
Test Whether Function Arrays Are Compatible
Test Whether Function Objects Are Compatible
Check Start of Character String
Pairwise distances between two point patterns on a linear network
List Recent Bug Fixes
Cross Validated Bandwidth Selection for Kernel Density
Combine Hyperframes by Rows or by Columns
Cumulative Distribution Function From Kernel Density Estimate
Interactively join vertices on a plot
Australian States and Mainland Territories
Hybrid Geyer Point Process Model
Tropical rain forest trees
Stoyan's Rule of Thumb for Bandwidth Selection
Cross Validated Bandwidth Selection for Spatial Smoothing
Three-Dimensional Box
Smallest Enclosing Circle
Berman's Tests for Point Process Model
Subdivide a Window or Tessellation using a Set of Lines
Chicago Street Crime Data
Fit Cluster or Cox Point Process Model via Minimum Contrast
Set Default Control Parameters for Metropolis-Hastings Algorithm.
Extract Cluster Offspring Kernel
Geometrical Calculations for Multi-Dimensional Box
Delaunay Triangulation of Point Pattern
Diameter of an Object
Distance Map
Distance Map on Linear Network
Mixed Poisson Distribution
Kernel distributions and random generation
Parameter Bound for a Determinantal Point Process Model
Power Exponential Spectral Determinantal Point Process Model
Elliptical Window.
Convert Data to Numeric Values by Constructing Dummy Variables
Extract Dummy Points Used to Fit a Point Process Model
Evaluate Expression Involving Pixel Images
Diagnostics for random marking
Extract Subset of Function Array
Evaluate Expression Involving Pixel Images on Linear Network
Extract or Replace Subset of Function Values
Extract Subset of Window
Extract or Replace Subset of Point Pattern
Estimate the Empty Space Function or its Hazard Rate
Connected components
Pairwise distances between two different sets of points
Pairwise distances
Connected Components of a Linear Network
Pairwise distances between two different line segment patterns
Crossing Points between Linear Network and Other Lines
Distance on Delaunay Triangulation
Cross Validated Bandwidth Selection for Relative Risk Estimation
Hutchings' Bramble Canes data
Multi-Dimensional Box
Chorley-Ribble Cancer Data
Scott's Rule for Bandwidth Selection for Kernel Density
Coerce Line Segment Pattern to a Data Frame
Coerce Point Pattern to a Data Frame
Density Estimation for Circular Data
Convert Line Segment Pattern to Linear Network
Extract Linear Network from Data on a Linear Network
Convert Pixel Image to Matrix
Convert Data To Class owin
Distance to Boundary of Window
Distance to Boundary of Window
Beta Ganglion Cells in Cat Retina
Bronze gradient filter data
Combine Function Value Tables
Tree Branch Membership Labelling Function
Fit the Neyman-Scott cluster process with Cauchy kernel
Fit the Neyman-Scott cluster process with Cauchy kernel
Castilla-La Mancha Forest Fires
Close Pairs of Points
Close Pairs of Points in 3 Dimensions
Coefficients of Fitted Spatial Logistic Regression Model
Close Triples of Points
Extract the Interaction from a Fitted Point Process Model
The Fiksel Interaction
Fitted Intensity for Point Process on Linear Network
Abbreviations for Groups of Columns in Function Value Table
Nearest Neighbour Distance Distribution Function
of a Three-Dimensional Point Pattern
Beta Ganglion Cells in Cat Retina, Old Version
Collapse Several Function Tables into One
Connected Components of a Point Pattern
Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
Dendritic Spines Data
Contour plot of pixel image
Convolution of Pixel Images
Kernel Estimate of Intensity on a Linear Network
Parameter influence measure
Construct a New Determinantal Point Process Model Family Function
Dimension of Determinantal Point Process Model
Estimate Dimension of Central Subspace
Safely Convert Point Pattern Window to Binary Mask
Union of Discs
Distance Map of Line Segment Pattern
Divide Linear Network at Cut Points
Gaussian Determinantal Point Process Model
Interactively Define a Rectangle
Interactively Measure Distance
Coefficients of Point Process Model Fitted to Multiple Point Patterns
Test Whether Pixel Images Are Compatible
Coefficients of Fitted Point Process Model
Concatenate x,y Coordinate Vectors
Convex Hull of Points
The Connected Component Process Model
Test Whether Objects Are Compatible
Weil's Convexifying Operation
Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
Pairwise distances between two different point patterns
Extract Original Data from a Fitted Point Process Model
Progress Plot of Test of Spatial Pattern
Kernel Smoothed Intensity of Split Point Pattern
Calculate Derivative of Function Values
Diggle-Gates-Stibbard Point Process Model
Progress Plot of Dao-Genton Test of Spatial Pattern
Global Envelopes for Dao-Genton Test
Diggle-Gratton model
Interactively Define a Polygon
Residual Diagnostics for Multiple Fitted Models
Determine A Common Spatial Domain And Pixel Resolution
Generic Calculation of K Function and Pair Correlation Function
Take Complement of a Window
Corners of a rectangle
Pairwise distances between two different three-dimensional point patterns
Convert Pixel Image from Numeric to Factor
Crossing Points of Two Line Segment Patterns
Cover Region with Discs
Generate a Default Pattern of Dummy Points
Default Expansion Rule for Simulation of Model
Kernel Smoothed Intensity of Point Pattern
Kernel Smoothing of Line Segment Pattern
Significance Trace of Dao-Genton Test
Linear Network of Delaunay Triangulation or Dirichlet Tessellation
Dirichlet Tessellation of Point Pattern
Artificial Data Point Pattern
Demonstration Example of Hyperframe of Spatial Data
Circular Window
Compute Areas of Tiles in Dirichlet Tessellation
Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
Make Windows Compatible
Check Whether Points Have Close Neighbours
Hybrid Interaction Family
Humberside Data on Childhood Leukaemia and Lymphoma
Class of Images
Areas of Morphological Dilations
Dao-Genton Adjusted Goodness-Of-Fit Test
Create a Pixel Image Object
Morphological Dilation
Distance Map of Window
Distance Map of Point Pattern
Fit Determinantal Point Process Model
Extract Kernel from Determinantal Point Process Model Object
Invoke Text Editor on Hyperframe
Invoke Text Editor on Spatial Data
Simulation Envelopes of Summary Function
Morphological Erosion of Windows
Morphological Erosion by a Disc
Envelope for Point Patterns on Linear Network
Extract or Replace Subset of a Layered Object
Extract Subset of Influence Object
Extract or Replace Sub-Patterns
Subset of spatially sampled function
Fitted Conditional Intensity for Multiple Point Process Model
Fitted Conditional Intensity for Point Process Model
Fourier Basis Functions
Extract or Change the Containing Rectangle of a Spatial Object
Multitype Nearest Neighbour Distance Function (i-to-any)
Nearest Neighbour Distance Function G
Compute Quadrature Weights Based on Dirichlet Tessellation
Vertices and Edges of Dirichlet Tessellation
Extract Spectral Density from Determinantal Point Process Model Object
Range of Spectral Density of a Determinantal Point Process Model
Determine Duplicated Points in a Spatial Point Pattern
Ripley's Isotropic Edge Correction
Exponential Energy Marks
Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Simulation Envelopes of Summary Function for 3D Point Pattern
Integral of a Pixel Image
Test Whether Points Are Inside A Window
Empirical Intensity of Point Pattern on Linear Network
Intensity of Fitted Point Process Model
Test Whether An Object Is A Pixel Image
Test Whether An Object Is A Point Pattern on a Linear Network
Test Whether A Point Process Model is Marked
Test Whether Marks Are Present
Reduced Second Moment Measure
K-function or Pair Correlation Function of a
Determinantal Point Process Model
Sector K-function
Inhomogeneous Multitype L Dot Function
Lambert's W Function
Gorilla Nesting Sites
Residual G Function
The Hierarchical Hard Core Point Process Model
Scots pines and other trees at Hyytiala
Hierarchical Pairwise Interaction Process Family
Identify Points in a Point Pattern
Multitype L-function (i-to-any)
Linear K Function
Compute Disc of Given Radius in Linear Network
Mark Connection Function for Multitype Point Pattern on Linear Network
Linear Pair Correlation Function
Neighbourhood density function
Extract Subset of Leverage Object
Areas of Morphological Erosions
Extract Subset of Pixel Image on Linear Network
Extract Subset of Point Pattern on Linear Network
Extract Subset of Signed or Vector Measure
Extract or Replace Subset of Tessellation
Whittle-Matern Determinantal Point Process Model
Empty Space Function of a Three-Dimensional Point Pattern
List Triangles in a Graph
List Dihedral Triples in a Graph
Evaluate Expression Involving Function Arrays
Recompute Envelopes
Endpoints of Line Segment Pattern
Approximate Pair Correlation Function of Determinantal Point Process Model
Area of Part of Disc
Bessel Type Determinantal Point Process Model
Translation Edge Correction
Extract Boundary Edges of a Window.
Extract or Replace Subset of Hyperframe
Integral on a Linear Network
Interpolate a Pixel Image
Intersection, Union or Set Subtraction of Windows
Intersection of Two Tessellations
Integral of a Measure
Plot Data Using Graphics Symbol Map
Fitted Probabilities for Spatial Logistic Regression
Extract Fixed Effects from Point Process Model
Fry Plot of Point Pattern
Spatial Function Class
Model Compensator of Nearest Neighbour Function
Add margins to box in any dimension
Add margins to rectangle
Multitype Nearest Neighbour Distance Function (i-to-j)
Inhomogeneous Neighbourhood Density Function
First or Last Part of a Spatial Pattern
Bootstrap Confidence Bands for Summary Function
Longleaf Pines Point Pattern
Summarise Marks in Every Neighbourhood in a Point Pattern
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Fit the Matern Cluster Point Process by Minimum Contrast
Extract Subset of Image
Pine saplings in Finland.
Inhomogeneous Empty Space Function
Extract or Replace Subset of a List of Things
Extract Subset of Linear Network
Diggle's Heather Data
Exchange X and Y Coordinates
The Hierarchical Strauss Point Process Model
The Hierarchical Strauss Hard Core Point Process Model
Identify Segments in a Line Segment Pattern
Insert New Vertices in a Linear Network
Inverse-distance weighted smoothing of observations at irregular points
Test Whether Points Are Inside A Multidimensional Box
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute
Deviation Test
Delta Metric
Delete or Extract a Branch of a Tree
Diagnostic Plots for Fitted Point Process Model
Geometrical Calculations for Three-Dimensional Box
Intensity of Determinantal Point Process Model
Point and Click Interface for Displaying Spatial Data
Intensity of a Dataset or a Model
Fit Point Process Model Involving Irregular Trend Parameters
Test Whether A Point Process Model is Multitype
Diameter and Bounding Radius of a Linear Network
Test Whether A Point Pattern is Multitype
Diameter of a Window
Distribution Function of Interpoint Distance
Distance Map as a Function
Extract the Domain of any Spatial Object
Generalized Cauchy Determinantal Point Process Model
Test Whether An Object Is A Point Pattern
Approximate Determinantal Point Process Kernel
Point and Click Interface for Exploratory Analysis of Point Pattern
Determine Type of Window
Japanese Pines Point Pattern
Inhomogeneous Cross K Function
Multitype K Function (Cross-type)
Evaluate Expression Involving Functions
Apply Expansion Rule
Extract or Replace Subset of a List of Things
Extract Subset of Multidimensional Point Pattern
Inhomogeneous Marked F-Function
Extract Subset of Line Segment Pattern
Internal function calculating eig and index
Force Model to be Valid
Force Point Process Model to be Valid
Weighted Empirical Cumulative Distribution Function
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
Subset of Quadrature Scheme
Extract or Replace Subset of a List of Spatial Objest
Function Arrays for Spatial Patterns
Farthest Distance to Boundary of Window
Rectangular grid of points
Inhomogeneous Nearest Neighbour Function
Marked Nearest Neighbour Distance Function
Spherical Contact Distribution Function
Compute Quadrature Weights Based on Grid Counts
Methods for Multi-Dimensional Box
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
Methods for Determinantal Point Process Models
Methods for Objective Function Surfaces
Methods for Fitted Point Process Models on a Linear Network
Marked J Function
Identify Covariates Involved in each Model Term
K-function of a Three-Dimensional Point Pattern
Kaplan-Meier Estimator using Histogram Data
Model Compensator of K Function
K Function or Pair Correlation Function of a Point Process Model
K Function or Pair Correlation Function of Cluster Model or Cox model
Kaplan-Meier and Reduced Sample Estimator using Histograms
Residual K Function
Mark-Weighted K Function
Locally Scaled K-function
Multitype L-function (cross-type)
Inhomogeneous Cross Type L Function
Extract the Variables in a Point Process Model
Count Multiplicity of Duplicate Points
The Multitype Strauss Point Process Model
Find Line Segment Nearest to Each Point
Nested Split
Nearest Neighbour Map on Linear Network
Influenza Virus Proteins
K-th Nearest Point Map
Create a Function Value Table
Function Value Table
The Hard Core Point Process Model
Aherne's hamster tumour data
Basis for Harmonic Functions
Objective Function Surface
Morphological Opening
Point Pair Orientation Distribution
Ord Interaction Process Family
Convert Line Segment Pattern to Pixel Image
Generic Ord Interaction model
Pairwise distances between line segments
Plot a Function Array
Quadrature Scheme Based on Pixel Grid
Plot Function Values
Layered Plot
Plot Leverage Function
Foo is Not a Real Name
Model Formulae for Gibbs Point Process Models
Extract or Change the Plot Formula for a Function Value Table
Foxall's Distance Functions
Geyer's Saturation Point Process Model
Inhomogeneous Marked G-Function
People in Gordon Square
Make Function Tables Compatible
Histogram of Pixel Values in an Image
Spatial Covariance of a Pixel Image
Hopkins-Skellam Test
Improve Intensity Estimate of Fitted Cluster Point Process Model
Lansing Woods Point Pattern
Influence Measure for Spatial Point Process Model
Laslett's Transform
L-function
Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
Window in Shape of Letter R
Multitype K Function (Dot-type) for Linear Point Pattern
Hybrid Interaction Point Process Model
Hexagonal Grid or Tessellation
Hyper Data Frame
Estimate the I-function
Apply Function Pixelwise to List of Images
Intensity Estimates Using Quadrat Counts
Make Pixel Images Compatible
Make Objects Compatible
Find Largest Circle Inside Window
Infinite Straight Lines
Intensity of a Multidimensional Space-Time Point Pattern
Empirical Intensity of Point Pattern
Test Whether Object is a Hybrid
Test Whether An Object Is Empty
Test Whether An Object Is A Window
Test Whether An Object Is A Fitted Point Process Model
Recognise Stationary and Poisson Point Process Models
Integral of Squared Kernel
Determine Whether One Window is Contained In Another
K-function using FFT
Inhomogeneous K-function
Print News About Latest Version of Package
K-function
Create List of Plotting Layers
Inhomogeneous Multitype
Pair Correlation Function (Dot-type) for Linear Point Pattern
Level Set of a Pixel Image
Leverage Measure for Spatial Point Process Model
Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
Lurking variable plot
Lookup Tables
Multitype K Function (Cross-type) for Linear Point Pattern
Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
Inhomogeneous Linear Pair Correlation Function
Quadrature Scheme on a Linear Network
Local pair correlation function
Plot an Arrow
Log Likelihood and AIC for Fitted Determinantal Point Process Model
Plot a Spatial Window
Plot a List of Point Patterns
Plot a Spatially Sampled Function
Plot a Text String
Plot a Texture Map
Create a Linear Network
Create Pixel Image on Linear Network
Create Point Pattern on Linear Network
Fit Point Process Model to Point Pattern on Linear Network
Interpolate smoothly between specified colours
Methods for Point Patterns on a Linear Network
Methods for Linear Networks
Multitype J Function (i-to-j)
Scale factor for density kernel
Multitype J Function (i-to-any)
K Function or Pair Correlation Function of Gibbs Point Process model
Outdated Functions
Moment of Smoothing Kernel
Extract Design Matrix from Spatial Logistic Regression Model
Nearest neighbours in three dimensions
Nearest Neighbours on a Linear Network
Nearest Neighbours Between Two Patterns
Nearest Neighbours in Any Dimensions
Ord's Interaction model
Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns
Partial Residuals for Point Process Model
Pairwise distances in Three Dimensions
Extract Model Parameters in Understandable Form
Pairwise shortest-path distances between points on
a linear network
Penttinen Interaction
Marked pair correlation function
Convert Window to Pixel Image
Infinite Order Interaction Family
Recognise Fitted Determinantal Point Process Models
Test Whether a Window is Convex
Test whether Object is Multitype
Class of Fitted Point Process Models
Test Whether A Point Pattern is Marked
Estimate the J-function
Predict Point Process Model on Linear Network
Inhomogeneous J-function
Prediction for Fitted Multiple Point Process Model
Fit Point Process Model to Point Pattern Data
Predicted or Fitted Values from Spatial Logistic Regression
Print Brief Details of an Image
Inhomogeneous Marked K-Function
Extract or Replace the Plot Arguments of a Layered Object
Inhomogeneous Linear K Function
Tessellation on a Linear Network
Generate a Row or Column Arrangement of Rectangles.
Subdivide Segments of a Network
Mark Connection Function for Multitype Point Pattern on Linear Network
Mark Cross-Correlation Function
Marks of a Point Pattern
Merge Levels of a Factor
Methods for Cluster Point Process Models
Methods for Three-Dimensional Box
Methods for Layered Objects
Methods for Intensity Functions of Two Spatial Covariates
Minkowski Sum of Windows
Inhomogeneous Multitype K Dot Function
Methods for Intensity Functions of Spatial Covariate
Multitype K Function (i-to-any)
Colour Sequences with Uniform Perceptual Contrast
Fit Cluster or Cox Point Process Model
The Lennard-Jones Potential
Lengths of Line Segments
Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
Log Likelihood and AIC for Multiple Point Process Model
Mark Connection Function
Mark Correlation Function
Maximum, Minimum, Mean, Median, Range or Sum
of Pixel Values in an Image
Mean, Median, Quantiles of Pixel Values on a Linear Network
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
Inhomogeneous Multitype Pair Correlation Function
(Cross-type) for Linear Point Pattern
Function on a Linear Network
Log Likelihood and AIC for Point Process Model
L-function
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Loglikelihood of Spatial Logistic Regression
Pyramidal Neurons in Cingulate Cortex
Alternating Gibbs Sampler for Area-Interaction Process
Alternating Gibbs Sampler for Multitype Hard Core Process
Simulation of a Determinantal Point Process
Perfect Simulation of the Diggle-Gratton Process
Marks of a Tessellation
Range of Interaction for a Determinantal Point Process Model
Marks of a Line Segment Pattern
S3 Group Generic Methods for Images on a Linear Network
S3 Group Generic methods for images
Methods for Functions on Linear Network
Methods for three-dimensional point patterns
Methods for Images on a Linear Network
Signed or Vector-Valued Measure
Morisita Index Plot
Fit Point Process Model to Several Point Patterns
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Nearest Neighbour Clutter Removal
Nearest Neighbour Distances in Any Dimensions
Nearest neighbour distances in three dimensions
Pairwise distances
Pairwise distances
Pairwise distances
Pairwise Distances in Any Dimensions
Pair Correlation Function
Pair Correlation Function of Point Pattern
Pair Correlation Function of a Three-Dimensional Point Pattern
Methods for Multidimensional Space-Time Point Patterns
Point Patterns of New Brunswick Forest Fires
Find Pixel Nearest to a Given Point
Nearest Neighbours Between Two Patterns in 3D
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
Nearest neighbour distances between line segments
Distance for a Point Pattern Matching
Mark Variogram
Compute Minimum or Maximum Nearest-Neighbour Distance
Power of a Matrix
Methods for Spatially Sampled Functions
Methods for Spatial Logistic Regression Models
Method of Minimum Contrast
Midpoints of Line Segment Pattern
Nearest Neighbour Index Map as a Function
Number of Points in a Point Pattern
Number of Line Segments in a Line Segment Pattern
Create a Window
Scatterplot Matrix for Pixel Images on a Linear Network
Compute Area of Overlap
Interaction Distance of a Point Process
Convert Pixel Image to Another Unit of Length
Require a Specific Version of a Package
Richardson Extrapolation
Simulate Gauss-Poisson Process
Convert Point Pattern to Pixel Image
Theoretical Distribution of Nearest Neighbour Distance
plot a Fitted Point Process Model
Plot Entries in a Hyperframe
Plot a Pixel Image
plot a Spatial Point Pattern
Plot a Recursively Partitioned Point Process Model
Ponderosa Pine Tree Point Pattern
Plot Result of Scan Test
Random Re-Labelling of Point Pattern
Simulate from a Fitted Point Process Model
Detect Numerical Rounding
Set Control Parameters for Metropolis-Hastings Algorithm.
Generate Poisson Point Pattern
Perfect Simulation of the Penttinen Process
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Extract Pixel Centres as Point Pattern
Convert Spatial Object to Pixel Image
Plot a Spatial Distribution Test
Plot a Colour Map
Plot a linear network
Plot Pixel Image on Linear Network
Pool Data
Pool Several Functions
Pool Data from a List of Objects
Transform a Function into its P-P or Q-Q Version
Multidimensional Space-Time Point Pattern
Print a Fitted Point Process Model
Print Brief Details of a Spatial Window
Print Progress Reports
Extract Quadrature Scheme Used to Fit a Point Process Model
Move Point To Nearest Line
Reduced Sample Estimator using Histogram Data
Extract Random Effects from Point Process Model
Range of Function Values
Chi-Squared Test for Multiple Point Process Model Based on
Quadrat Counts
Mark of Nearest Neighbour
The Multitype Hard Core Point Process Model
Cells in Gastric Mucosa
Nearest Neighbour Orientation Distribution
Count Number of Geometrical Objects in a Spatial Dataset
Dummy Function Returns Number of Points
Saturated Pairwise Interaction Point Process Family
Pairwise Interaction Process Family
Multitype pair correlation function (i-to-any)
Generic Pairwise Interaction model
Plot a fitted determinantal point process
Inhomogeneous Pair Correlation Function
Plot a Simulation Envelope
Generate Poisson Point Pattern in Three Dimensions
Simulated Annealing or Simulated Tempering for Gibbs Point Processes
Random Thinning
Simulate Thomas Process
Run Point-and-Click Interface
Apply Scalar Dilation
Saturated Pairwise Interaction model
Pad the Border of a Pixel Image
Class owin
Panel Plots using Colour Image or Contour Lines
Kimboto trees at Paracou, French Guiana
Multitype pair correlation function (cross-type)
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Plot a List of Things
Apply Vector Translation To Pixel Image
Data Sharpening of Point Pattern
Side Lengths of Enclosing Rectangle of a Window
Simulated data from a two-group experiment with replication
within each group.
Smooth a Spatially Sampled Function
Spatial smoothing of observations at irregular points
plot a Spatial Line Segment Pattern
Plot a Spatial Quadrature Scheme
Plot a tessellation
Plot a Yardstick or Scale Bar
Plot a Graphics Symbol Map
Draw Points on Existing Plot
Pool Several Quadrat Tests
California Redwoods Point Pattern (Ripley's Subset)
Reset Values in Subset of Image
Nonparametric Estimate of Spatially-Varying Relative Risk
Smoothed Relative Density of Pairs of Covariate Values
Smoothing Estimate of Intensity as Function of a Covariate
Simulate Log-Gaussian Cox Process
Define Point Process Model for Metropolis-Hastings Simulation.
Generate grid of parallel lines with random displacement
Rotate or Shift Infinite Lines
Define Point Process Model for Metropolis-Hastings Simulation.
Rotate a Pixel Image
Apply Numerical Rounding to Spatial Coordinates
Rotational Average of a Pixel Image
Plot Result of Berman Test
Plot a Tessellation on a Linear Network
Plot Quadrat Counts
Plot a List of Things
Place Points Evenly Along Specified Lines
Display the result of a quadrat counting test.
Class of Point Patterns
Methods for Spatial Functions
Methods for Fitted Interactions
Poisson Point Process Model
Methods for Cluster Models
Methods for Units
The Multitype/Hard Core Strauss Point Process Model
Extract Design Matrix from Point Process Model
Compute Images of Constructed Covariates
Print a Quadrature Scheme
Distance Between Two Point Patterns
Fit Models by Profile Maximum Pseudolikelihood or AIC
Class of Line Segment Patterns
Create a Line Segment Pattern
Dispersion Test of CSR for Split Point Pattern Based on
Quadrat Counts
Quadrat counting for a point pattern
Quantiles of Weighted Empirical Cumulative Distribution Function
Sample Quantiles of Pixel Image
Simulate Baddeley-Silverman Cell Process
Simulate Neyman-Scott Point Process with Cauchy cluster kernel
California Redwoods Point Pattern (Entire Dataset)
Reflect In Origin
Residuals for Fitted Cox or Cluster Point Process Model
Murchison gold deposits
Nearest neighbour distances
Nearest neighbour distances on a linear network
Pool Data from Several Ratio Objects
Count Number of Vertices
Identify Nearest Neighbours on a Linear Network
Nearest neighbour
Print Brief Details of a Point Pattern Dataset
Prediction from a Fitted Determinantal Point Process Model
Prediction from a Fitted Cluster Point Process Model
Print Brief Details of a Line Segment Pattern Dataset
Pseudoscore Diagnostic For Fitted Model against General Alternative
New Zealand Trees Point Pattern
The Piecewise Constant Pairwise Interaction Point Process Model
Pair Correlation Function obtained from array of K functions
Scatterplot Matrix for Pixel Images
Perimeter Length of Window
Make Periodic Copies of a Spatial Pattern
Pair Correlation Function obtained from K Function
Poisson Line Tessellation
Poisson Point Process on a Linear Network
Randomly Shift a List of Point Patterns
Simulate Simple Sequential Inhibition
Uniform Random Points on a Linear Network
Generate N Uniform Random Points in a Disc
Set Covariance of a Window
Perspective Plot of Pixel Image
Plot a List of Images
Draw Points or Lines on a Surface Viewed in Perspective
Plot a fitted cluster point process
Plot Influence Measure
Plot Laslett Transform
Square Window
Spatially Sampled Function
Subset of Point Pattern Satisfying A Condition
Distance Between Linear Spaces
Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
Summary of a List of Things
Sufficient Statistic of Point Process Model
Class of Quadrature Schemes
Q-Q Plot of Residuals from Fitted Point Process Model
Generate a Quadrature Scheme from a Point Pattern
Generate a Logistic Regression Quadrature Scheme from a Point Pattern
Generate Random Numbers of Points for Cell Process
Perfect Simulation of the Diggle-Gates-Stibbard Process
Pool Data from Several Function Arrays
Plot a Three-Dimensional Point Pattern
Pool Data from Several Envelopes
Plot a plotppm Object Created by plot.ppm
Three Dimensional Point Pattern
Fit Point Process Model to Data
Convert Point Pattern to Another Unit of Length
Convert Line Segment Pattern to Another Unit of Length
Simulate Matern Model I
Specify Simulation Window or Expansion Rule
Simulate Matern Model II
Generate N Random Multitype Points
Generate Multitype Poisson Point Pattern
Plot Point Pattern on Linear Network
Plot a Fitted Point Process Model on a Linear Network
Build Point Process Model for Metropolis-Hastings Simulation.
plot a Fitted Multiple Point Process Model
Plot a Signed or Vector-Valued Measure
Plot a Fitted Spatial Logistic Regression
Plot a List of Spatial Objects
Prediction from a Fitted Point Process Model
Make Predictions From a Recursively Partitioned Point Process Model
Calculate Pseudo-R-Squared for Point Process Model
Resample a Point Pattern by Resampling Quadrats
Divide Region into Quadrats
Sibling Probability of Cluster Point Process
Residuals for Point Process Model Fitted to Multiple Point Patterns
Random Points on a Linear Network
Simulate Matern Cluster Process
Simulate Neyman-Scott Process
Simulate point patterns using the Metropolis-Hastings algorithm.
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Random Pixel Noise
Simulate Poisson Cluster Process
Rotate a Line Segment Pattern
Rotate a Point Pattern
Recursively Partitioned Point Process Model
Randomly Shift a Point Pattern
Compute Quadratic Forms
Superimpose Several Geometric Patterns
Fit the Thomas Point Process by Minimum Contrast
Remove Vertices or Segments from a Linear Network
The Triplet Point Process Model
Triplet Interaction Family
Generate N Uniform Random Points
Randomly Shift a Line Segment Pattern
Generate N Uniform Random Points in Three Dimensions
Rescale Data to Lie Between Specified Limits
Spatial Scan Test
Apply Vector Translation To Point Pattern
Apply Vector Translation To Line Segment Pattern
Spatial smoothing of data
Spider Webs on Mortar Lines of a Brick Wall
Internal Options in Spatstat Package
Smooth a Signed or Vector-Valued Measure
Divide Hyperframe Into Subsets and Reassemble
Weighted kernel smoother
Separate a Vector Measure into its Scalar Components
Check Whether Point Process Model is Valid
Estimate Variance of Summary Statistic by Subdivision
Variance-Covariance Matrix for a Fitted Spatial Logistic Regression
Vertices of a Window
Generate Quasirandom Point Pattern in Given Window
Generate Poisson Random Line Process
Generate N Random Points
Random Shift
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
Piecewise Constant Saturated Pairwise Interaction Point Process Model
Galaxies in the Shapley Supercluster
Simple Example of Linear Network
Simulated Point Pattern
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
Spatial Dimension of a Dataset
Spruces Point Pattern
Sporophores Data
Extract List of Individual Point Process Models
Leverage and Influence Measures for Spatial Point Process Model
Create a Point Pattern
Create a Point Matching
Class of Point Matchings
Prune a Recursively Partitioned Point Process Model
Find Nearest Point in a Region
Quasirandom Patterns
Cartesian Coordinates for a Pixel Raster
Alternating Gibbs Sampler for Multitype Point Processes
Ratio object
Reorder Levels of a Factor-Valued Image or Pattern
Compute Unless Previously Saved
Convert Window Back To Rectangle
Residuals for Fitted Determinantal Point Process Model
Read Point Pattern From Data File
Likelihood Ratio Test Statistic for Scan Test
Divide Image Into Sub-images
Cut Line Segments Where They Intersect
Print Names and Version Numbers of Libraries Loaded
Simple Point-and-Click Interface Panels
Approximate a Polygon by a Simpler Polygon
Superimpose Several Point Patterns on Linear Network
Swedish Pines Point Pattern
Separate Multiple Columns of Marks
Test Which Side of Infinite Line a Point Falls On
update.detpointprocfamily
Set Parameter Values in a Determinantal Point Process Model
Simulate a Fitted Spatial Logistic Regression Model
Simulate a Fitted Gibbs Point Process Model
Internal spatstat functions
Divide a Measure into Parts
The Spatstat Package
Compute Integral of Function Against Cumulative Distribution
Divide Point Pattern into Sub-patterns
Stienen Diagram
Summarizing a Pixel Image
Summarizing a Fitted Cox or Cluster Point Process Model
Prune Tree to Given Level
Label Vertices of a Tree by Branch Membership
Determine Which Tile Contains Each Given Point
Names of Tiles in a Tessellation
Extract Window of Spatial Object
Evaluate Expression in a Spatially Sampled Function
Evaluate an Expression in a Function Table
Text, Arrow or Scale Bar in a Diagram
Perfect Simulation of the Hardcore Process
Create Colour-Valued Pixel Image
Interpret Fitted Model for Metropolis-Hastings Simulation.
Determine Initial State for Metropolis-Hastings Simulation.
Random Perturbation of a Point Pattern
Estimate window from points alone
Quantile Tessellation
Quantiles of a Density Estimate
Estimate of Spatially-Varying Relative Risk
Parametric Estimate of Spatially-Varying Relative Risk
Mosaic Random Field
Convert Window to Another Unit of Length
Convert dataset to another unit of length
Rotate
Mosaic Random Set
Rotate a Window
Generate Poisson Point Pattern in Any Dimensions
Generate Poisson Point Pattern on Line Segments
Perfect Simulation of the Strauss-Hardcore Process
Residuals for Fitted Point Process Model
Rose Diagram
Receiver Operating Characteristic
Data and Code From JRSS Discussion Paper on Residuals
Simulate Stratified Random Point Pattern
Test of Spatial Segregation of Types
Perfect Simulation of the Strauss Process
Subset of Hyperframe Satisfying A Condition
Crossing Points in a Line Segment Pattern
Summary of a Line Segment Pattern Dataset
Summarizing a Quadrature Scheme
Summary of a Split Point Pattern
Check For Empty Tiles in a Tessellation
Summary of a List of Spatial Objects
Weighted Histogram
Simulate a Fitted Point Process Model on a Linear Network
Apply Vector Translation To Window
Apply Vector Translation
Simulate a Point Process Model Fitted to Several Point Patterns
Smooth Interpolation of Marks as a Spatial Function
The Soft Core Point Process Model
Extract List of Tiles in a Tessellation
Decompose Window into Triangles
Cut margins from rectangle
Update a Fitted Point Process Model
Update Control Parameters of Metropolis-Hastings Algorithm
Simulate systematic random point pattern
Generate N Uniform Random Points On Line Segments
Vesicles Data
Generate N Uniform Random Points in Any Dimensions
Sufficient Dimension Reduction
Compute Predictors from Sufficient Dimension Reduction
Simulate a Fitted Cluster Point Process Model
Simulation of Determinantal Point Process Model
Spatial Logistic Regression
Spatial Cumulative Distribution Function
Apply Smoothing to Function Values
Stratified random point pattern
Deprecated spatstat functions
The Strauss Point Process Model
Update an Interpoint Interaction
Check Validity of a Determinantal Point Process Model
Update a Fitted Cluster Point Process Model
Check Whether Point Process Model is Valid
Trees in Waka national park
Waterstriders data.
Three independent replications of a point pattern
formed by insects.
Summary of a List of Things
Rounding of Pixel Values
Texture Map
Summary of a Spatial Window
Plot Image or Tessellation Using Texture Fill
Extract the Total Computation Time
Record the Computation Time
Cluster Point Process Model
Apply a Function Over a List and Obtain a List of Objects
Divide Multidimensional Point Pattern into Sub-patterns
List of Two-Dimensional Spatial Objects
Spokes pattern of dummy points
The Strauss / Hard Core Point Process Model
Studentised Permutation Test
Volume of an Object
Summarizing a Fitted Point Process Model
Test Expansion Rule
Extract or Change the Window of a Spatial Object
Graphics Symbol Map
Summary of a Point Pattern Dataset
Create a Tessellation
Fit the Thomas Point Process by Minimum Contrast
Pixel Values Along a Transect
Convert Pixel Array Between Different Conventions
Name for Unit of Length
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
Predicted Variance of the Number of Points
Third order summary statistic
Compute Areas of Tiles in a Tessellation
Variance-Covariance Matrix for a Fitted Cluster Point Process Model
Extract Unique Points from a Spatial Point Pattern
Change Colour Values in a Colour Map
Urkiola Woods Point Pattern
Update a Graphics Symbol Map.
Remove Marks
Union of Data and Dummy Points
Variance-Covariance Matrix for a Fitted Point Process Model
Find Location of Maximum in a Pixel Image
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
Evaluate Expression Involving Components of a Measure
Evaluate an Expression in Each Row of a Hyperframe
Calculate Variance-Covariance Matrix for Fitted Multiple Point
Process Model
Weighted Median, Quantiles or Variance