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