Extract or Replace Subset of Function Values
Empty Space Function of a Three-Dimensional Point Pattern
Extract or Replace Subset of Tessellation
Cumulative Distribution Function From Kernel Density Estimate
The Connected Component Process Model
Extract Subset of Influence Object
Extract or Replace Subset of a Layered Object
Diagnostics for random marking
Extract or Replace Subset of a List of Things
The Fiksel Interaction
Estimate the Empty Space Function or its Hazard Rate
The Area Interaction Point Process Model
Hybrid Geyer Point Process Model
Diggle-Gates-Stibbard Point Process Model
Extract Subset of Linear Network
Extract or Replace Subset of a List of Things
Extract Subset of Window
Extract or Replace Subset of Point Pattern
Extract or Replace Sub-Patterns
Diggle-Gratton model
Multitype Nearest Neighbour Distance Function (i-to-any)
Nearest Neighbour Distance Function G
Extract Subset of Leverage Object
Subset of spatially sampled function
Extract Subset of Pixel Image on Linear Network
The Hierarchical Hard Core Point Process Model
Extract or Replace Subset of a List of Spatial Objects
Subset of Quadrature Scheme
Model Compensator of Nearest Neighbour Function
Inhomogeneous Empty Space Function
Inhomogeneous Marked F-Function
The Hierarchical Strauss Point Process Model
Extract or Replace Subset of Hyperframe
Multitype Nearest Neighbour Distance Function (i-to-j)
Estimate the I-function
Inhomogeneous J-function
Extract Subset of Image
Marked J Function
Extract Subset of Multidimensional Point Pattern
Extract Subset of Line Segment Pattern
Multitype J Function (i-to-j)
Geyer's Saturation Point Process Model
The Hard Core Point Process Model
Multitype K Function (i-to-any)
Inhomogeneous Multitype K Dot Function
Spherical Contact Distribution Function
S3 Group Generic methods for images
K Function or Pair Correlation Function of Gibbs Point Process model
Marked K-Function
The Hierarchical Strauss Hard Core Point Process Model
Hybrid Interaction Point Process Model
S3 Group Generic methods for List of Images
Inhomogeneous Marked G-Function
Spatial smoothing of observations at irregular points
Residual G Function
K-function of a Three-Dimensional Point Pattern
Foxall's Distance Functions
Extract or Change the Containing Rectangle of a Spatial Object
Nearest Neighbour Distance Distribution Function
of a Three-Dimensional Point Pattern
Smooth a Spatially Sampled Function
L-function
Reduced Second Moment Measure
L-function
Arithmetic Operations on Measures
The Multitype/Hard Core Strauss Point Process Model
Model Compensator of K Function
K Function or Pair Correlation Function of a Point Process Model
Extract or Change the Window of a Spatial Object
K-function
Locally Scaled K-function
Sector K-function
Generic Ord Interaction model
Extract Window of Spatial Object
K-function using FFT
Apply Geometrical Transformations to Point Pattern on a Linear Network
Multitype K Function (Cross-type)
K-function or Pair Correlation Function of a
Determinantal Point Process Model
Smooth a Signed or Vector-Valued Measure
The Strauss Point Process Model
The Strauss / Hard Core Point Process Model
Apply Smoothing to Function Values
Apply Affine Transformation To Window
Inhomogeneous Cross K Function
K Function or Pair Correlation Function of Cluster Model or Cox model
Ord's Interaction model
Multitype L-function (cross-type)
Lambert's W Function
Apply Affine Transformation To Point Pattern
The Triplet Point Process Model
Third order summary statistic
Inhomogeneous Multitype L Dot Function
Minkowski Sum of Windows
S3 Group Generic Methods for Images on a Linear Network
Apply Affine Transformation To Line Segment Pattern
The Multitype Hard Core Point Process Model
ANOVA for Fitted Point Process Models
Analysis of Deviance for Spatial Logistic Regression Models
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Combine Two Line Segment Patterns
Orientation Angles of Line Segments
The Lennard-Jones Potential
Saturated Pairwise Interaction model
The Multitype Strauss Point Process Model
Spatial smoothing of data
Adaptive Estimate of Intensity of Point Pattern
Transform a Function into its P-P or Q-Q Version
Fill Plot With Texture
Interactively join vertices on a plot
Combine Hyperframes by Rows or by Columns
Apply Function to Every Neighbourhood in a Point Pattern
Convert Data to a Function on a Linear Network
Convert a Tessellation to a Function
Convert Data To Class fv
Convert Data To Layered Object
The Piecewise Constant Pairwise Interaction Point Process Model
Piecewise Constant Saturated Pairwise Interaction Point Process Model
Reset Values in Subset of Image on Linear Network
Convert Data To Tessellation
Convert List of Two-Dimensional Spatial Objects
Apply Geometrical Transformation To Tessellation
Calculate four standard summary functions of a point pattern.
Marked Nearest Neighbour Distance Function
Inhomogeneous Nearest Neighbour Function
Distance to Boundary of Window
Area of a Window
Difference of Disc Areas
Berman's Tests for Point Process Model
Pixel Image Approximation of a Window
Convert Line Segment Pattern to Binary Pixel Mask
Multitype J Function (i-to-any)
ANOVA for Fitted Point Process Models on Linear Network
Smooth Interpolation of Marks as a Spatial Function
Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
Estimate the J-function
Inhomogeneous K-function
The Soft Core Point Process Model
Extract Fitted Point Process Model
Coerce Hyperframe to Data Frame
Apply Affine Transformation To Pixel Image
Distance to Boundary of Window
Extract Linear Network from Data on a Linear Network
ANOVA for Fitted Point Process Models for Replicated Patterns
Cross Validated Bandwidth Selection for Spatial Smoothing
List Recent Bug Fixes
Clark and Evans Test
Border Region of a Window
Check Whether Image Contains NA Values
Apply Geometrical Transformations to a Linear Network
Convert Pixel Image to Data Frame
Stoyan's Rule of Thumb for Bandwidth Selection
Difference of Disc Areas
Convert Data To Class ppp
Convex Hull of Points
Combine Function Value Tables
Fit the Neyman-Scott cluster process with Cauchy kernel
Intersect Infinite Straight Lines with a Window
Bounding Box of a Window, Image, or Point Pattern
Mark-Weighted K Function
Convert Function Value Table to Function
Convert Data to Multi-Dimensional Box
Convert Window to Indicator Function
Coerce Envelope to Data Frame
Convert Leverage Object to Function of Coordinates
List of Objects
Tree Branch Membership Labelling Function
Convert Line Segment Pattern to Linear Network
Convert Data to Hyperframe
Inhomogeneous Marked K-Function
Interactively Measure Distance
Interactively Add Points
Residual K Function
Convert Data to a Point Pattern on a Linear Network
Array of Simulation Envelopes of Summary Function
List Triangles in a Graph
Allard-Fraley Estimator of Cluster Feature
Convert Pixel Image to Function of Coordinates
Bias Correction for Fitted Model
Collapse Several Function Tables into One
Area Under ROC Curve
Extract Cluster Offspring Kernel
Convert Data to Three-Dimensional Box
Inhomogeneous Cross Type L Function
Global Envelopes for Dao-Genton Test
Global Envelopes for Balanced Independent Two-Stage Test
Close Pairs of Points in 3 Dimensions
Create Colour Scheme for a Range of Numbers
Cross Validated Bandwidth Selection for Relative Risk Estimation
Kernel distributions and random generation
Interactively Define a Rectangle
Delete or Extract a Branch of a Tree
Generate a Default Pattern of Dummy Points
Test Whether Function Arrays Are Compatible
Test Whether Objects Are Compatible
Coefficients of Point Process Model Fitted to Multiple Point Patterns
Pairwise distances between two different three-dimensional point patterns
Convert Data To Class psp
Balanced Independent Two-Stage Monte Carlo Test
Concatenate x,y Coordinate Vectors
Close Pairs of Points
Multitype L-function (i-to-any)
Extract coordinates and marks of multidimensional point pattern
Print Introduction For Beginners
Window Frame
Distance to Boundary of Window
Multi-Dimensional Box
Area of Part of Disc
Scott's Rule for Bandwidth Selection for Kernel Density
Fit Cluster or Cox Point Process Model via Minimum Contrast
Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity
on a Network
Bandwidth Selection Based on Window Geometry
Generic Pairwise Interaction model
Penttinen Interaction
Convert to Pixel Image on Linear Network
Connected components
Pairwise distances between two different point patterns
Convert a Window to a Polygonal Window
Apply a Function to a Point Pattern Broken Down by Factor
Fit the Neyman-Scott cluster process with Cauchy kernel
Poisson Point Process Model
Abramson's Adaptive Bandwidths
Generic Calculation of K Function and Pair Correlation Function
Convert Data To Class owin
Check Start of Character String
Weil's Convexifying Operation
Crossing Points between Linear Network and Other Lines
Reset Values in Subset of Image
Likelihood Cross Validation Bandwidth Selection for Kernel Density on
a Linear Network
Clark and Evans Aggregation Index
Apply Function to Image Broken Down by Factor
Test Whether Function Objects Are Compatible
Compute or Extract Effective Range of Cluster Kernel
Colour Lookup Tables
Distance Map of Point Pattern
Density Estimation for Circular Data
Extract Original Data from a Fitted Point Process Model
Convex Hull
Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute
Deviation Test
Crossing Points of Two Line Segment Patterns
Convolution of Pixel Images
Added Variable Plot for Point Process Model
Cover Region with Discs
Field of clusters
Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
Convert and Compare Colours in Different Formats
Extract or Assign Colour Values in a Colour Map
Apply Affine Transformation
Default Expansion Rule for Simulation of Model
Progress Plot of Dao-Genton Test of Spatial Pattern
Delta Metric
Test Whether Pixel Images Are Compatible
Morphological Dilation
Identify Segments in a Line Segment Pattern
Determine A Common Spatial Domain And Pixel Resolution
Apply Gaussian Blur to a Pixel Image
Spatial Distribution Test for Multiple Point Process Model
Cross Validated Bandwidth Selection for Kernel Density
Residual Diagnostics for Multiple Fitted Models
Distance on Delaunay Triangulation
Spatial Distribution Test for Point Pattern or Point Process Model
Corners of a rectangle
Evaluate Expression Involving Pixel Images
Linear Network of Delaunay Triangulation or Dirichlet Tessellation
Dimension of Determinantal Point Process Model
Kernel Estimate of Intensity as a Spatial Function
Adaptive Kernel Estimate of Intensity of Point Pattern
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation
Centroid of a window
Extract Dummy Points Used to Fit a Point Process Model
Distance Map of Window
Pairwise distances between two different line segment patterns
Dao-Genton Adjusted Goodness-Of-Fit Test
Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
Subdivide a Window or Tessellation using a Set of Lines
Progress Plot of Test of Spatial Pattern
Significance Trace of Dao-Genton Test
Take Complement of a Window
Convert Window to Data Frame
Convex Hull of Points
Kernel Estimation of Intensity on a Network using a 2D Kernel
Power Exponential Spectral Determinantal Point Process Model
Divide Linear Network at Cut Points
Bessel Type Determinantal Point Process Model
Diagnostic Plots for Fitted Point Process Model
Invoke Text Editor on Hyperframe
Connected Components of a Point Pattern
Kernel Smoothed Intensity of Point Pattern
Pairwise distances
Connected Components of Tiles of a Tessellation
Classify Points in a Point Pattern
Calculate Derivative of Function Values
Convert Data to Numeric Values by Constructing Dummy Variables
Extract Boundary Edges of a Window.
Case Deletion Effect Measure of Fitted Model
Circular Window
Simulation Envelopes of Summary Function for 3D Point Pattern
Range of Spectral Density of a Determinantal Point Process Model
Safely Convert Point Pattern Window to Binary Mask
Recompute Envelopes
Coerce Point Pattern to a Data Frame
Construct a New Determinantal Point Process Model Family Function
Convert to Pixel Image
Compute Areas of Tiles in Dirichlet Tessellation
Coerce Line Segment Pattern to a Data Frame
Generalized Cauchy Determinantal Point Process Model
Distance Map of Line Segment Pattern
Kernel Estimate of Intensity on a Linear Network
Extract Original Data from a Fitted Point Process Model on a Network
Delaunay Triangulation of Point Pattern
Convert Tessellation to Data Frame
Distance Map
Determine Duplicated Points in a Spatial Point Pattern
Coefficients of Fitted Point Process Model
Three-Dimensional Box
Likelihood Cross Validation Bandwidth Selection for Kernel Density
Extract Interaction Structure
Set Default Control Parameters for Metropolis-Hastings Algorithm.
Diameter of an Object
Parameter Influence Measure
Ripley's Isotropic Edge Correction
Diameter and Bounding Radius of a Linear Network
Approximate Determinantal Point Process Kernel
Internal function calculating eig and index
Extract the Interaction from a Fitted Point Process Model
Check Whether Points Have Close Neighbours
Parameter Bound for a Determinantal Point Process Model
List Dihedral Triples in a Graph
Convert Pixel Image to Matrix or Array
Convert Pixel Image to Matrix
Geometrical Calculations for Three-Dimensional Box
Create a Function Value Table
Fitted Intensity for Point Process on Linear Network
Distribution Function of Interpoint Distance
Geometrical Calculations for Multi-Dimensional Box
Force Model to be Valid
Vertices and Edges of Dirichlet Tessellation
Test whether Object is Multitype
Extract Spectral Density from Determinantal Point Process Model Object
Recognise Fitted Determinantal Point Process Models
Approximate Pair Correlation Function of Determinantal Point Process Model
Hybrid Interaction Family
Force Point Process Model to be Valid
Compute Quadrature Weights Based on Dirichlet Tessellation
Areas of Morphological Erosions
Evaluate Expression Involving Functions
Intensity of a Dataset or a Model
Fry Plot of Point Pattern
Empirical Intensity of Point Pattern
Function Arrays for Spatial Patterns
Intensity of Determinantal Point Process Model
Envelope for Point Patterns on Linear Network
Union of Discs
Extract the Domain of any Spatial Object
Fitted Conditional Intensity for Point Process Model
Foo is Not a Real Name
Smallest Enclosing Circle
Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
Hexagonal Grid or Tessellation
Determine Whether a Point Pattern is Connected
Fitted Probabilities for Spatial Logistic Regression
Hierarchical Pairwise Interaction Process Family
Morphological Erosion by a Disc
Farthest Distance to Boundary of Window
Weighted Empirical Cumulative Distribution Function
Extract Kernel from Determinantal Point Process Model Object
Cross Validated Bandwidth Selection for Pair Correlation Function
Abbreviations for Groups of Columns in Function Value Table
Scatterplot Matrix for Pixel Images
Apply Function Pixelwise to List of Images
Recognise Stationary and Poisson Point Process Models
Evaluate Expression Involving Pixel Images on Linear Network
Create Pixel Image on Linear Network
Mixed Poisson Distribution
Infinite Straight Lines
Morphological Closing
Interactively Add Points on a Linear Network
Array of Contour Plots
Pairwise distances between two point patterns on a linear network
Interactively Define a Polygon
Extrapolate Line Segments to Obtain Infinite Lines
Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
Translation Edge Correction
Invoke Text Editor on Spatial Data
Integral of a Measure
Integral on a Linear Network
Influence Measure for Spatial Point Process Model
Determine Type of Window
Hopkins-Skellam Test
Pairwise distances between two different sets of points
Close Triples of Points
Increments of a Function
Mark Connection Function
Empirical Intensity of Line Segment Pattern
Fourier Basis Functions
Inverse-distance weighted smoothing of observations at irregular points
Basis for Harmonic Functions
Model Formulae for Gibbs Point Process Models
Infinite Order Interaction Family
Make Objects Compatible
Interpolate smoothly between specified colours
Contour plot of pixel image
Exponential Energy Marks
Test Whether A Point Process Model is Multitype
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Lookup Tables
Intensity Estimates Using Quadrat Counts
Leverage Measure for Spatial Point Process Model
Multitype K Function (Dot-type) for Linear Point Pattern
Kernel Smoothing of Line Segment Pattern or Linear Network
Connected Components of a Linear Network
Evaluate Expression Involving Function Arrays
Inhomogeneous Neighbourhood Density Function
Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
Hyper Data Frame
Morphological Erosion of Windows
Identify Points in a Point Pattern
Determine Whether One Window is Contained In Another
Make Pixel Images Compatible
Function Value Table
Interpolate a Pixel Image
Compute Quadrature Weights Based on Grid Counts
Extract or Change the Plot Formula for a Function Value Table
First or Last Part of a Spatial Pattern
Intersection, Union or Set Subtraction of Windows
Mark Connection Function for Multitype Point Pattern on Linear Network
Function on a Linear Network
Test Whether An Object Is Empty
Integral of Squared Kernel
Fit Cluster or Cox Point Process Model
Extract or Replace the Plot Arguments of a Layered Object
Laslett's Transform
Fitted Conditional Intensity for Multiple Point Process Model
Point and Click Interface for Exploratory Analysis of Point Pattern
Rectangular grid of points
Generate a Row or Column Arrangement of Rectangles.
Intensity of a Multidimensional Space-Time Point Pattern
Spatial Function Class
Inhomogeneous Multitype Pair Correlation Function
(Cross-type) for Linear Point Pattern
Class of Images
Coefficients of Fitted Spatial Logistic Regression Model
Determine Whether an Object is Connected
Create a Pixel Image Object
Spatial Covariance of a Pixel Image
Diameter of a Window
Gaussian Determinantal Point Process Model
Connected Components of a Point Pattern on a Linear Network
Test Whether An Object Is A Point Pattern
Lengths of Line Segments
Kernel Smoothed Intensity of Split Point Pattern
Kaplan-Meier and Reduced Sample Estimator using Histograms
Convert Spatial Object to Pixel Image
Make Function Tables Compatible
Mark Connection Function for Multitype Point Pattern on Linear Network
Nearest Neighbour Orientation Distribution
Plot Data Using Graphics Symbol Map
Test Whether A Point Pattern is Marked
Empirical Intensity of Point Pattern on Linear Network
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Compute Disc of Given Radius in Linear Network
Log Likelihood and AIC for Fitted Determinantal Point Process Model
Summarise Marks in Every Neighbourhood in a Point Pattern
Moment of Smoothing Kernel
Create Point Pattern on Linear Network
Point and Click Interface for Displaying Spatial Data
Mean and Median of Pixel Values in an Image
Test Whether a Window is Convex
Test Whether An Object Is A Fitted Point Process Model
Loglikelihood of Spatial Logistic Regression
Scale factor for density kernel
Linear Pair Correlation Function
Methods for Objective Function Surfaces
Discrete and Continuous Components of a Measure
Fit Point Process Model Involving Irregular Trend Parameters
Convert Pixel Image from Numeric to Factor
Subdivide Segments of a Network
Set Control Parameters for Metropolis-Hastings Algorithm.
Mean, Median, Quantiles of Pixel Values on a Linear Network
Compute Images of Constructed Covariates
Nearest neighbour distances on a linear network
Quadrature Scheme on a Linear Network
Plot a fitted determinantal point process
Find Nearest Point in a Region
Fit Point Process Model to Point Pattern on Linear Network
Classify Points in a Point Pattern on a Network
Methods for Cluster Point Process Models
Estimate Dimension of Central Subspace
Areas of Morphological Dilations
Dirichlet Tessellation of Point Pattern
Distance Map as a Function
Improve Intensity Estimate of Fitted Cluster Point Process Model
Identify Covariates Involved in each Model Term
Test Whether Object is a Hybrid
Test Whether An Object Is A Pixel Image
Inhomogeneous Linear Pair Correlation Function
Local pair correlation function
Marks of a Tessellation
Marks of a Line Segment Pattern
Create a Linear Network
Level Set of a Pixel Image
Plot Leverage Function
Morisita Index Plot
Whittle-Matern Determinantal Point Process Model
Nearest Data Point From Each Vertex in a Network
Print News About Latest Version of Package
Fit Determinantal Point Process Model
Distance Map on Linear Network
Find Largest Circle Inside Window
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
Extract Fixed Effects from Point Process Model
Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
Prediction from a Fitted Cluster Point Process Model
Bootstrap Confidence Bands for Summary Function
Class owin
Methods for Spatial Functions
Point Pair Orientation Distribution
Nested Split
Find Line Segment Nearest to Each Point
Nearest neighbour
Nearest neighbour distances
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Fit Point Process Model to Data
Layered Plot
Create a Window
Plot a Texture Map
Nearest Neighbour Distances in Any Dimensions
Positive and Negative Parts, and Variation, of a Measure
Pairwise Interaction Process Family
Tessellation on a Linear Network
Nearest Neighbours Between Two Patterns
Nearest neighbour distances in three dimensions
Plot a Colour Map
Method of Minimum Contrast
Methods for three-dimensional point patterns
Marked pair correlation function
Range of Interaction for a Determinantal Point Process Model
plot a Fitted Point Process Model
Plot a Yardstick or Scale Bar
Pairwise Distances in Any Dimensions
Nearest Neighbours on a Linear Network
Convert Point Pattern to Pixel Image
Plot a Text String
Ord Interaction Process Family
Pool Data from Several Function Arrays
Methods for Linear Networks
Quadrature Scheme Based on Pixel Grid
Pair Correlation Function of a Three-Dimensional Point Pattern
Plot a List of Things
Insert New Vertices in a Linear Network
Endpoints of Line Segment Pattern
Compute Area of Overlap
Multitype pair correlation function (cross-type)
Panel Plots using Colour Image or Contour Lines
Intersection of Two Tessellations
Test Whether A Point Process Model is Marked
Methods for Intensity Functions of Two Spatial Covariates
Intensity of Fitted Point Process Model
Methods for Images on a Linear Network
Elliptical Window.
Nearest neighbour distances between line segments
Dirichlet Tessellation on a Linear Network
Methods for Multi-Dimensional Box
Inhomogeneous Linear K Function
Mark Variogram
Log Likelihood and AIC for Point Process Model
Log Likelihood and AIC for Multiple Point Process Model
Plot a Tessellation
Cartesian Coordinates for a Pixel Raster
Multitype pair correlation function (i-to-any)
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Perimeter Length of Window
Plot Laslett Transform
Interaction Distance of a Point Process
Rose Diagram
Plot a Signed or Vector-Valued Measure
Divide Region into Quadrats
Plot a Three-Dimensional Point Pattern
Plot a List of Things
Lurking Variable Plot
Pool Data from Several Envelopes
Display the result of a quadrat counting test.
Methods for Units
Generate a Quadrature Scheme from a Point Pattern
Pool Data from Several Ratio Objects
Convert Point Pattern to Another Unit of Length
Plot an Arrow
Partial Residuals for Point Process Model
Three Dimensional Point Pattern
Prediction from a Fitted Determinantal Point Process Model
Simulate Log-Gaussian Cox Process
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
Convert Line Segment Pattern to Pixel Image
Compute Minimum or Maximum Nearest-Neighbour Distance
Simulation Envelopes of Summary Function
Test Whether Points Are Inside A Window
Make Measures Compatible
Exchange X and Y Coordinates
Add margins to box in any dimension
Apply Expansion Rule
Test Whether Points Are Inside A Multidimensional Box
Create a Line Segment Pattern
Create List of Plotting Layers
Integral of a Pixel Image
Histogram of Values of a Spatial Function
Methods for Spatially Sampled Functions
Draw Points on Existing Plot
Mark-Mark Scatter Plot
Geometrical Operations for Distance Functions
Histogram of Pixel Values in an Image
Add margins to rectangle
Make Windows Compatible
Perfect Simulation of the Strauss Process
Dummy Function Returns Number of Points
Find Pixel Nearest to a Given Point
Plot Pixel Image on Linear Network
Prune a Recursively Partitioned Point Process Model
Test Whether An Object Is A Window
Linear K Function
Randomly Shift a Line Segment Pattern
Methods for Layered Objects
Convert Window Back To Rectangle
Plot Point Pattern on Linear Network
Multidimensional Space-Time Point Pattern
Pool Several Functions
Scatterplot Matrix for Pixel Images on a Linear Network
Distance Between Two Point Patterns
Lurking Variable Plot for Multiple Point Patterns
Extract Design Matrix of Point Process Model for Several Point Patterns
Extract Design Matrix from Spatial Logistic Regression Model
Pool Several Quadrat Tests
Nearest Neighbour Clutter Removal
Methods for Multidimensional Space-Time Point Patterns
Nearest neighbours in three dimensions
Distance for a Point Pattern Matching
Methods for Determinantal Point Process Models
Methods for Fitted Interactions
Plot Function Values
Determine Which Tile Contains Each Given Point on a Linear Network
Extract the Variables in a Point Process Model
Resample a Point Pattern by Resampling Quadrats
Convert dataset to another unit of length
Create a Point Matching
Class of Point Matchings
Print Brief Details of a Point Pattern Dataset
Print Brief Details of a Line Segment Pattern Dataset
Simulate Matern Cluster Process
Convert Window to Another Unit of Length
Pairwise shortest-path distances between points on
a linear network
Pairwise distances between line segments
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Perfect Simulation of the Diggle-Gratton Process
Number of Line Segments in a Line Segment Pattern
Extract Model Parameters in Understandable Form
Simulate Simple Sequential Inhibition
Random Perturbation of a Point Pattern
Simulate a Fitted Cluster Point Process Model
Ratio object
Class of Line Segment Patterns
Methods for Point Patterns on a Linear Network
Receiver Operating Characteristic
Simulation of a Determinantal Point Process
Generate a Logistic Regression Quadrature Scheme from a Point Pattern
Alternating Gibbs Sampler for Area-Interaction Process
Estimate window from points alone
Contact Distribution Function using Rectangular Structuring Element
Convert Pixel Image to Another Unit of Length
Quadrat counting for a point pattern
Alternating Gibbs Sampler for Multitype Hard Core Process
Count Multiplicity of Duplicate Points
Extract Design Matrix from Point Process Model
Count Number of Vertices
Pairwise distances
Build Point Process Model for Metropolis-Hastings Simulation.
Rotate a Window
Fit Point Process Model to Point Pattern Data
Test Whether Marks Are Present
Test Whether An Object Is A Point Pattern on a Linear Network
Compute Predictors from Sufficient Dimension Reduction
Methods for Cluster Models
Generate Poisson Point Pattern
Nonparametric Estimate of Spatially-Varying Relative Risk
Inhomogeneous Multitype K Function
Fit the Matern Cluster Point Process by Minimum Contrast
Local Multitype K Function (Dot-Type)
Nearest Neighbour Index Map as a Function
Plot a List of Images
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
Merge Levels of a Factor
Methods for Fitted Point Process Models on a Linear Network
Plot a Spatial Distribution Test
Pair Correlation Function
Join Vertices in a Network
Inhomogeneous Multitype
Pair Correlation Function (Dot-type) for Linear Point Pattern
Test Whether A Point Pattern is Multitype
Kaplan-Meier Estimator using Histogram Data
Make Periodic Copies of a Spatial Pattern
Dispersion Test of CSR for Split Point Pattern Based on
Quadrat Counts
Convert Window to Pixel Image
Convert Line Segment Pattern to Another Unit of Length
Identify Nearest Neighbours on a Linear Network
Random Pixel Noise
Simulate from a Fitted Point Process Model
Quantile Tessellation
Rotate
Randomly Shift a Point Pattern
Internal spatstat functions
Apply Scalar Dilation
Extract Pixel Centres as Point Pattern
Methods for Three-Dimensional Box
Sufficient Dimension Reduction
Methods for Intensity Functions of Spatial Covariate
Generate Poisson Point Pattern in Three Dimensions
Generate N Uniform Random Points in Any Dimensions
Saturated Pairwise Interaction Point Process Family
Pair Correlation Function obtained from array of K functions
Class of Fitted Point Process Models
Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
Deprecated spatstat functions
Plot a List of Point Patterns
Perspective Plot of Pixel Image
Plot a Recursively Partitioned Point Process Model
Perfect Simulation of the Diggle-Gates-Stibbard Process
Plot a Tessellation on a Linear Network
Plot a linear network
Plot a Fitted Spatial Logistic Regression
Multitype K Function (Cross-type) for Linear Point Pattern
Prediction for Fitted Multiple Point Process Model
Plot Result of Scan Test
Place Points Evenly Along Specified Lines
Plot a Spatially Sampled Function
plot a Spatial Point Pattern
Plot Entries in a Hyperframe
Plot a Point Matching
Tessellation Using Polar Coordinates
Methods for Spatial Logistic Regression Models
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Reflect In Origin
Q-Q Plot of Residuals from Fitted Point Process Model
Predict Point Process Model on Linear Network
Number of Points in a Point Pattern
Plot Result of Berman Test
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Neighbourhood density function
Rotate a Point Pattern
Print Brief Details of an Image
Plot a List of Spatial Objects
Nearest Neighbour Map on Linear Network
Plot a Pixel Image
Print a Quadrature Scheme
Fit Models by Profile Maximum Pseudolikelihood or AIC
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
Draw Points or Lines on a Surface Viewed in Perspective
Pairwise distances
Define Point Process Model for Metropolis-Hastings Simulation.
Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
Pad the Border of a Pixel Image
Generate Poisson Point Pattern on Line Segments
Leverage and Influence Measures for Spatial Point Process Model
Simulate Matern Model I
Perfect Simulation of the Hardcore Process
Calculate Pseudo-R-Squared for Point Process Model
Sibling Probability of Cluster Point Process
Simulate Gauss-Poisson Process
Predicted or Fitted Values from Spatial Logistic Regression
Mosaic Random Set
Quantiles of a Density Estimate
Random Thinning of Clumps
Generate Poisson Point Pattern in Any Dimensions
Uniform Random Points on a Linear Network
Generate N Uniform Random Points
Print Names and Version Numbers of Libraries Loaded
Random Thinning
Simulation of Determinantal Point Process Model
Cut Line Segments Where They Intersect
Richardson Extrapolation
Simulate Matern Model II
Spatial Scan Test
Local Multitype K Function (Cross-Type)
Objective Function Surface
Simulate Stratified Random Point Pattern
Alternating Gibbs Sampler for Multitype Point Processes
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Signed or Vector-Valued Measure
Randomly Shift a List of Point Patterns
Mark Correlation Function
Create A Regular Polygon
Mark Cross-Correlation Function
Power of a Matrix
Pool Data
Pairwise distances
Plot Quadrat Counts
Plot a Graphics Symbol Map
Polynomial in One or Two Variables
Pairwise distances in Three Dimensions
plot a Fitted Multiple Point Process Model
Marks of a Point Pattern
Plot a Fitted Point Process Model on a Linear Network
Plot a Studentised Permutation Test
Quantiles of Weighted Empirical Cumulative Distribution Function
Create Colour-Valued Pixel Image
Generate N Uniform Random Points On Line Segments
Simple Point-and-Click Interface Panels
Nearest Neighbours Between Two Patterns in 3D
Midpoints of Line Segment Pattern
Simulate point patterns using the Metropolis-Hastings algorithm.
Print a Fitted Point Process Model
Generate N Uniform Random Points in Three Dimensions
Mark of Nearest Neighbour
Range of Function Values
Sample Quantiles of Pixel Image
Residuals for Fitted Determinantal Point Process Model
Extract Quadrature Scheme Used to Fit a Point Process Model
Apply Vector Translation To Pixel Image
Fit Point Process Model to Several Point Patterns
Methods for Functions on Linear Network
K-th Nearest Point Map
Apply Vector Translation
Prediction from a Fitted Point Process Model
Mosaic Random Field
Class of Quadrature Schemes
Make Predictions From a Recursively Partitioned Point Process Model
Approximate a Polygon by a Simpler Polygon
List of Two-Dimensional Spatial Objects
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
Interpret Fitted Model for Metropolis-Hastings Simulation.
Recursively Partitioned Point Process Model
Print Brief Details of a Spatial Window
Residuals for Fitted Point Process Model
Require a Specific Version of a Package
Generate Multitype Poisson Point Pattern
Nearest Neighbours in Any Dimensions
Morphological Opening
Pair Correlation Function of Point Pattern
Random Shift
Residuals for Point Process Model Fitted to Multiple Point Patterns
Rotate a Pixel Image
Create a Point Pattern
Simulate Neyman-Scott Process
Estimate of Spatially-Varying Relative Risk
plot a Spatial Line Segment Pattern
Determine Initial State for Metropolis-Hastings Simulation.
Random Re-Labelling of Point Pattern
Test of Spatial Segregation of Types
Theoretical Distribution of Nearest Neighbour Distance
Simulate a Fitted Point Process Model on a Linear Network
Rotate or Shift Infinite Lines
Simulate systematic random point pattern
Simulated Annealing or Simulated Tempering for Gibbs Point Processes
Simulate a Point Process Model Fitted to Several Point Patterns
Apply a Function Over a List and Obtain a List of Objects
Crossing Points in a Line Segment Pattern
Rescale Data to Lie Between Specified Limits
Spatial Logistic Regression
Perfect Simulation of the Penttinen Process
Count Number of Geometrical Objects in a Spatial Dataset
Pair Correlation Function obtained from K Function
Plot a Spatial Window
Perfect Simulation of the Strauss-Hardcore Process
Distance Map Using Rectangular Distance Metric
Plot a fitted cluster point process
Inhomogeneous Pair Correlation Function
Extract Random Effects from Point Process Model
Rotate a Line Segment Pattern
Reduced Sample Estimator using Histogram Data
Set Covariance of a Window
Parametric Estimate of Spatially-Varying Relative Risk
Generate N Random Multitype Points
Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
Plot a plotppm Object Created by plot.ppm
Compute Unless Previously Saved
Plot Influence Measure
Plot a Simulation Envelope
Pseudoscore Diagnostic For Fitted Model against General Alternative
Plot a Function Array
Plot a Spatial Quadrature Scheme
Residuals for Fitted Cox or Cluster Point Process Model
Move Point To Nearest Line
Pool Data from a List of Objects
Class of Point Patterns
Chi-Squared Test for Multiple Point Process Model Based on
Quadrat Counts
Print Progress Reports
Simulate Thomas Process
Dispersion Test for Spatial Point Pattern Based on
Quadrat Counts
Quasirandom Patterns
Simulate Poisson Cluster Process
Simulate Baddeley-Silverman Cell Process
Generate Quasirandom Point Pattern in Given Window
Generate Random Numbers of Points for Cell Process
Reorder Levels of a Factor-Valued Image or Pattern
Simulate Neyman-Scott Point Process with Cauchy cluster kernel
Likelihood Ratio Test Statistic for Scan Test
Apply Vector Translation To Line Segment Pattern
Specify Simulation Window or Expansion Rule
Run Point-and-Click Interface
Spatial Dimension of a Dataset
Spatial Cumulative Distribution Function
Rotational Average of a Pixel Image
Poisson Point Process on a Linear Network
Read Point Pattern From Data File
Generate N Uniform Random Points in a Disc
Poisson Line Tessellation
Data Sharpening of Point Pattern
Side Lengths of Enclosing Rectangle of a Window
Apply Numerical Rounding to Spatial Coordinates
Define Point Process Model for Metropolis-Hastings Simulation.
Smoothed Relative Density of Pairs of Covariate Values
Generate Poisson Random Line Process
Nonparametric Estimate of Intensity as Function of a Covariate
Generate grid of parallel lines with random displacement
Random Points on a Linear Network
Generate N Random Points
Detect Numerical Rounding
Simulate a Fitted Spatial Logistic Regression Model
Apply Vector Translation To Point Pattern
Apply Vector Translation To Window
Simulate a Fitted Gibbs Point Process Model
Extract Subset of Function Array
Extract Subset of Point Pattern on Linear Network
Extract Subset of Signed or Vector Measure