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