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