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