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