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