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