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