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