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