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