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