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