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