Extract Subset of Influence Object
Diggle-Gates-Stibbard Point Process Model
Diggle-Gratton model
Extract or Replace Sub-Patterns
Extract or Replace Subset of a Layered Object
Subset of spatially sampled function
Extract or Change the Containing Rectangle of a Spatial Object
The Hard Core Point Process Model
Nearest Neighbour Distance Distribution Function
of a Three-Dimensional Point Pattern
Extract or Replace Subset of Hyperframe
K-function or Pair Correlation Function of a
Determinantal Point Process Model
Reduced Second Moment Measure
Multitype L-function (i-to-any)
Extract Subset of Pixel Image on Linear Network
Hybrid Geyer Point Process Model
The Area Interaction Point Process Model
Extract Subset of Leverage Object
Extract or Replace Subset of a List of Spatial Objects
Subset of Quadrature Scheme
Extract or Replace Subset of Tessellation
The Connected Component Process Model
Spherical Contact Distribution Function
Foxall's Distance Functions
K-function of a Three-Dimensional Point Pattern
Cumulative Distribution Function From Kernel Density Estimate
Geyer's Saturation Point Process Model
Model Compensator of Nearest Neighbour Function
Multitype Nearest Neighbour Distance Function (i-to-j)
K Function or Pair Correlation Function of a Point Process Model
Model Compensator of K Function
Inhomogeneous Marked G-Function
K Function or Pair Correlation Function of Cluster Model or Cox model
Piecewise Constant Saturated Pairwise Interaction Point Process Model
Inhomogeneous Cross Type L Function
Extract Subset of Image
Generic Ord Interaction model
Residual G Function
Inhomogeneous Empty Space Function
Empty Space Function of a Three-Dimensional Point Pattern
Adaptive Estimate of Intensity of Point Pattern
Extract Subset of Function Array
Estimate the J-function
Multitype J Function (i-to-any)
K-function
Extract Subset of Point Pattern on Linear Network
Diagnostics for random marking
Inhomogeneous Marked F-Function
Reset Values in Subset of Image on Linear Network
Extract Subset of Linear Network
Extract Subset of Multidimensional Point Pattern
Ord's Interaction model
Extract or Replace Subset of Function Values
The Lennard-Jones Potential
Residual K Function
Difference of Disc Areas
Multitype Nearest Neighbour Distance Function (i-to-any)
Inhomogeneous K-function
Combine Two Line Segment Patterns
Apply Geometrical Transformation To Tessellation
K-function using FFT
Extract Subset of Line Segment Pattern
Extract or Replace Subset of a List of Things
Extract or Replace Subset of a List of Things
Fill Plot With Texture
Extract Subset of Signed or Vector Measure
Nearest Neighbour Distance Function G
Inhomogeneous Marked K-Function
Extract or Replace Subset of Point Pattern
Extract Subset of Window
Estimate the Empty Space Function or its Hazard Rate
Convert Line Segment Pattern to Linear Network
Calculate four standard summary functions of a point pattern.
Inhomogeneous J-function
Marked J Function
The Fiksel Interaction
Extract or Change the Window of a Spatial Object
The Hierarchical Strauss Point Process Model
The Hierarchical Hard Core Point Process Model
Inhomogeneous Multitype L Dot Function
Convert a Tessellation to a Function
Apply Function to Every Neighbourhood in a Point Pattern
Convert Network Tessellation to Data Frame
Convert Window to Data Frame
Area Under ROC Curve
Extract Linear Network from Data on a Linear Network
Convert Window to Indicator Function
Inhomogeneous Nearest Neighbour Function
Poisson Point Process Model
Marked Nearest Neighbour Distance Function
Generic Pairwise Interaction model
Estimate the I-function
Penttinen Interaction
Analysis of Deviance for Spatial Logistic Regression Models
The Strauss Point Process Model
Convert Data to Multi-Dimensional Box
Apply Affine Transformation To Pixel Image
Reset Values in Subset of Image
Multitype J Function (i-to-j)
Mark-Weighted K Function
Convert Data To Class ppp
ANOVA for Fitted Point Process Models for Replicated Patterns
Bounding Box of a Window, Image, or Point Pattern
Convert Data To Tessellation
Inhomogeneous L-function
Locally Scaled K-function
ANOVA for Fitted Point Process Models
The Strauss / Hard Core Point Process Model
Convert Data To Class psp
Apply Geometrical Transformations to a Linear Network
L-function
Sector K-function
Extract Window of Spatial Object
Smooth a Signed or Vector-Valued Measure
Arithmetic Operations on Measures
Apply Smoothing to Function Values
The Multitype/Hard Core Strauss Point Process Model
Close Pairs of Points
Smallest Enclosing Circle
Interactively Measure Distance
Tree Branch Membership Labelling Function
Apply Geometrical Transformations to Point Pattern on a Linear Network
Combine Hyperframes by Rows or by Columns
Determine A Common Spatial Domain And Pixel Resolution
List Recent Bug Fixes
Coerce Envelope to Data Frame
Convert Data to a Function on a Linear Network
Inhomogeneous Cross K Function
Multitype K Function (Cross-type)
Saturated Pairwise Interaction model
The Hierarchical Strauss Hard Core Point Process Model
Convert and Compare Colours in Different Formats
Minkowski Sum of Windows
Extract or Assign Colour Values in a Colour Map
Apply Affine Transformation To Window
Corners of a rectangle
Spatial Distribution Test for Point Pattern or Point Process Model
Distance on Delaunay Triangulation
Contour plot of pixel image
Lambert's W Function
Close Pairs of Points in 3 Dimensions
Distance Map of Window
Interactively join vertices on a plot
Residual Diagnostics for Multiple Fitted Models
Convert Leverage Object to Function of Coordinates
S3 Group Generic methods for images
Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
ANOVA for Fitted Point Process Models on Linear Network
Multitype L-function (cross-type)
Hybrid Interaction Point Process Model
List of Objects
Geometrical Calculations for Three-Dimensional Box
Divide Linear Network at Cut Points
Kernel Estimate of Intensity as a Spatial Function
Convert Pixel Image from Numeric to Factor
Morphological Dilation
Linear Network of Delaunay Triangulation or Dirichlet Tessellation
Array of Contour Plots
Classify Points in a Point Pattern on a Network
Convert List of Two-Dimensional Spatial Objects
S3 Group Generic methods for List of Images
Convert Pixel Image to Function of Coordinates
Parameter Bound for a Determinantal Point Process Model
Transform a Function into its P-P or Q-Q Version
Coefficients of Fitted Spatial Logistic Regression Model
Apply Affine Transformation To Point Pattern
The Piecewise Constant Pairwise Interaction Point Process Model
Calculate Derivative of Function Values
Force Model to be Valid
Basis for Harmonic Functions
Diameter of an Object
Distance Map
Dimension of Determinantal Point Process Model
Kernel distributions and random generation
Multitype K Function (i-to-any)
Ripley's Isotropic Edge Correction
Extract coordinates and marks of multidimensional point pattern
Translation Edge Correction
Fitted Conditional Intensity for Multiple Point Process Model
Extract Spectral Density from Determinantal Point Process Model Object
Intensity of a Dataset or a Model
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
Check Whether Image Contains NA Values
Inhomogeneous Multitype K Dot Function
Spatial smoothing of data
Force Point Process Model to be Valid
K Function or Pair Correlation Function of Gibbs Point Process model
S3 Group Generic Methods for Images on a Linear Network
Added Variable Plot for Point Process Model
Marked K-Function
Fitted Intensity for Point Process on Linear Network
Create a Function Value Table
The Triplet Point Process Model
Extract Fitted Point Process Model
Intensity of a Multidimensional Space-Time Point Pattern
Function Value Table
Apply Expansion Rule
Coerce Point Pattern to a Data Frame
Third order summary statistic
Coerce Hyperframe to Data Frame
Apply Affine Transformation To Line Segment Pattern
Coerce Line Segment Pattern to a Data Frame
Convert a Window to a Polygonal Window
Convert Data to Three-Dimensional Box
Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
Convert to Pixel Image
Spatial Covariance of a Pixel Image
Make Objects Compatible
Intensity of Determinantal Point Process Model
Class of Images
Smooth a Spatially Sampled Function
Smooth Interpolation of Marks as a Spatial Function
Inverse-distance weighted smoothing of observations at irregular points
The Multitype Strauss Point Process Model
The Multitype Hard Core Point Process Model
Determine Whether an Object is Connected
Test Whether A Point Pattern is Multitype
Identify Segments in a Line Segment Pattern
Spatial smoothing of observations at irregular points
Distance to Boundary of Window
Field of clusters
Bias Correction for Fitted Model
Convex Hull of Points
Balanced Independent Two-Stage Monte Carlo Test
Border Region of a Window
Convert to Pixel Image on Linear Network
Determine Whether a Point Pattern is Connected
Empirical Intensity of Point Pattern
Test Whether A Point Process Model is Multitype
Mark Cross-Correlation Function
Window Frame
Cross Validated Bandwidth Selection for Spatial Smoothing
Check Start of Character String
Convert Line Segment Pattern to Binary Pixel Mask
Apply Gaussian Blur to a Pixel Image
Berman's Tests for Point Process Model
Likelihood Cross Validation Bandwidth Selection for Kernel Density
Convert Data To Layered Object
Create List of Plotting Layers
Recognise Stationary and Poisson Point Process Models
Inhomogeneous Multitype
Pair Correlation Function (Dot-type) for Linear Point Pattern
Bootstrap Confidence Bands for Summary Function
Convert Data to Hyperframe
Nearest neighbour distances between line segments
Convert Pixel Image to Data Frame
Subdivide a Window or Tessellation using a Set of Lines
Scott's Rule for Bandwidth Selection for Kernel Density
Interactively Add Points
Cross Validated Bandwidth Selection for Relative Risk Estimation
Determine Whether One Window is Contained In Another
Coefficients of Fitted Point Process Model
Convert Data To Class fv
Allard-Fraley Estimator of Cluster Feature
Convert Pixel Image to Matrix or Array
Create Colour Scheme for a Range of Numbers
Convert Data to a Point Pattern on a Linear Network
Pixel Image Approximation of a Window
Multitype K Function (Dot-type) for Linear Point Pattern
Divide a Linear Network into Tiles Using Infinite Lines
Local pair correlation function
Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
Clark and Evans Aggregation Index
Mean and Median of Pixel Values in an Image
Extract or Replace the Plot Arguments of a Layered Object
Inhomogeneous Linear Pair Correlation Function
Log Likelihood and AIC for Fitted Determinantal Point Process Model
Methods for Spatial Logistic Regression Models
Cross Validated Bandwidth Selection for Kernel Density
Three-Dimensional Box
Print Introduction For Beginners
Convex Hull
Convex Hull of Points
Influence Measure for Spatial Point Process Model
Concatenate x,y Coordinate Vectors
Connected components
Intersect Infinite Straight Lines with a Window
Construct a New Determinantal Point Process Model Family Function
Bandwidth Selection Based on Window Geometry
Multi-Dimensional Box
Apply Affine Transformation
The Soft Core Point Process Model
Difference of Disc Areas
Area of a Window
Convert Data To Class owin
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Classify Points in a Point Pattern
Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity
on a Network
Generic Calculation of K Function and Pair Correlation Function
Create Point Pattern on Linear Network
Stoyan's Rule of Thumb for Bandwidth Selection
Interactively Define a Polygon
Spatial Distribution Test for Multiple Point Process Model
Orientation Angles of Line Segments
Coefficients of Point Process Model Fitted to Multiple Point Patterns
Interactively Add Points on a Linear Network
Take Complement of a Window
Pairwise distances between two different sets of points
Centroid of a window
Geometrical Calculations for Multi-Dimensional Box
Pairwise distances between two point patterns on a linear network
Compute Quadrature Weights Based on Dirichlet Tessellation
Extract Original Data from a Fitted Point Process Model on a Network
Diameter of a Window
Case Deletion Effect Measure of Fitted Model
Parameter Influence Measure
Extract Dummy Points Used to Fit a Point Process Model
Kernel Smoothed Intensity of Point Pattern
Kernel Estimate of Intensity on a Linear Network
Pairwise distances between two different line segment patterns
Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
Methods for Functions on Linear Network
Extract Interaction Structure
Combine Function Value Tables
Compute Minimum or Maximum Nearest-Neighbour Distance
Methods for Units
Count Multiplicity of Duplicate Points
Mark-Mark Scatter Plot
Methods for Images on a Linear Network
Signed or Vector-Valued Measure
Progress Plot of Test of Spatial Pattern
Power Exponential Spectral Determinantal Point Process Model
Convert Tessellation to Data Frame
Methods for Spatially Sampled Functions
Global Envelopes for Dao-Genton Test
Areas of Morphological Dilations
Function Arrays for Spatial Patterns
Connected Components of a Linear Network
Union of Discs
Distance to Boundary of Window
Approximate Determinantal Point Process Kernel
Hyper Data Frame
Morphological Erosion by a Disc
Exponential Energy Marks
Convert Function Value Table to Function
Distribution Function of Interpoint Distance
Abramson's Adaptive Bandwidths
Determine Duplicated Points in a Spatial Point Pattern
Invoke Text Editor on Spatial Data
Apply Function to Image Broken Down by Factor
Generate a Default Pattern of Dummy Points
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute
Deviation Test
Methods for Cluster Models
Areas of Morphological Erosions
Close Triples of Points
Convert Pixel Image to Matrix
Fit the Neyman-Scott cluster process with Cauchy kernel
Distance to Boundary of Window
Extrapolate Line Segments to Obtain Infinite Lines
Likelihood Cross Validation Bandwidth Selection for Kernel Density on
a Linear Network
Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
Global Envelopes for Balanced Independent Two-Stage Test
Cross Validated Bandwidth Selection for Pair Correlation Function
Collapse Several Function Tables into One
Endpoints of Line Segment Pattern
Connected Components of a Point Pattern on a Linear Network
Set Default Control Parameters for Metropolis-Hastings Algorithm.
Insert New Vertices in a Linear Network
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Kernel Smoothing of Line Segment Pattern or Linear Network
Density Estimation for Circular Data
Morphological Closing
Clark and Evans Test
Fit the Neyman-Scott cluster process with Cauchy kernel
Apply a Function to a Point Pattern Broken Down by Factor
Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
Pair Correlation Function of Point Pattern
Circular Window
Generate a Row or Column Arrangement of Rectangles.
Delaunay Triangulation of Point Pattern
Objective Function Surface
Abbreviations for Groups of Columns in Function Value Table
Farthest Distance to Boundary of Window
Extract the Interaction from a Fitted Point Process Model
Integral of Squared Kernel
Crossing Points of Two Line Segment Patterns
Kernel Smoothed Intensity of Split Point Pattern
Distance Map as a Function
Fit Cluster or Cox Point Process Model via Minimum Contrast
Extract Cluster Offspring Kernel
Pairwise distances between two different point patterns
Check Whether Points Have Close Neighbours
First or Last Part of a Spatial Pattern
Test Whether Function Objects Are Compatible
Plot a Three-Dimensional Point Pattern
Identify Points in a Point Pattern
Nearest Neighbours in Any Dimensions
Weil's Convexifying Operation
Diameter and Bounding Radius of a Linear Network
Compute or Extract Effective Range of Cluster Kernel
Interactively Define a Rectangle
Crossing Points between Linear Network and Other Lines
Connected Components of a Point Pattern
Colour Lookup Tables
Mixed Poisson Distribution
Distance Map on Linear Network
Adaptive Kernel Estimate of Intensity of Point Pattern
Convolution of Pixel Images
Pairwise distances between two different three-dimensional point patterns
Test Whether Pixel Images Are Compatible
Fry Plot of Point Pattern
Kernel Estimation of Intensity on a Network using a 2D Kernel
Test Whether Objects Are Compatible
Determine Type of Window
Infinite Order Interaction Family
Test Whether An Object Is A Point Pattern
Test Whether Function Arrays Are Compatible
Morphological Opening
Extract Original Data from a Fitted Point Process Model
Test Whether a Window is Convex
Intersection of Two Tessellations
Recognise Fitted Determinantal Point Process Models
Test Whether Points Are Inside A Multidimensional Box
Nearest Data Point From Each Vertex in a Network
Count Number of Geometrical Objects in a Spatial Dataset
Prediction from a Fitted Determinantal Point Process Model
Pairwise Distances in Any Dimensions
Pair Correlation Function obtained from K Function
Dao-Genton Adjusted Goodness-Of-Fit Test
Diagnostic Plots for Fitted Point Process Model
Generalized Cauchy Determinantal Point Process Model
Default Expansion Rule for Simulation of Model
Safely Convert Point Pattern Window to Binary Mask
Perspective Plot of Pixel Image
Plot Data Using Graphics Symbol Map
Function on a Linear Network
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Mark Connection Function for Multitype Point Pattern on Linear Network
Extract Boundary Edges of a Window.
Moment of Smoothing Kernel
Mark Connection Function for Multitype Point Pattern on Linear Network
Range of Spectral Density of a Determinantal Point Process Model
List Triangles in a Graph
Extract the Domain of any Spatial Object
Convert Data to Numeric Values by Constructing Dummy Variables
Morphological Erosion of Windows
Simulation Envelopes of Summary Function
Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation
Dirichlet Tessellation of Point Pattern
Connected Components of Tiles of a Tessellation
Delete or Extract a Branch of a Tree
Make Periodic Copies of a Spatial Pattern
Plot Result of Berman Test
Estimate Dimension of Central Subspace
Plot a Text String
Pairwise distances between line segments
Plot a Spatial Distribution Test
Plot Influence Measure
Plot a List of Things
Laslett's Transform
Print News About Latest Version of Package
Plot a Texture Map
Interpolate smoothly between specified colours
Bessel Type Determinantal Point Process Model
Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Area of Part of Disc
Cover Region with Discs
Scale factor for density kernel
Pairwise distances
Fit Point Process Model to Several Point Patterns
Lurking Variable Plot for Multiple Point Patterns
Compute Areas of Tiles in Dirichlet Tessellation
Plot a fitted cluster point process
Progress Plot of Dao-Genton Test of Spatial Pattern
Delta Metric
Model Formulae for Gibbs Point Process Models
Evaluate Expression Involving Function Arrays
Fitted Conditional Intensity for Point Process Model
Test Whether An Object Is A Pixel Image
Histogram of Values of a Spatial Function
Make Predictions From a Recursively Partitioned Point Process Model
Methods for Point Patterns on a Linear Network
Increments of a Function
Foo is Not a Real Name
Fit Determinantal Point Process Model
Extract Kernel from Determinantal Point Process Model Object
Elliptical Window.
Add margins to box in any dimension
Plot Point Pattern on Linear Network
Fitted Probabilities for Spatial Logistic Regression
Create Pixel Image on Linear Network
Local Multitype K Function (Cross-Type)
Distance Map of Point Pattern
Extract Fixed Effects from Point Process Model
Significance Trace of Dao-Genton Test
Distance Map of Line Segment Pattern
Morisita Index Plot
Plot a List of Spatial Objects
Inhomogeneous Multitype K Function
plot a Fitted Point Process Model
Identify Covariates Involved in each Model Term
Lookup Tables
Mark Variogram
Test Whether Marks Are Present
Gaussian Determinantal Point Process Model
Envelope for Point Patterns on Linear Network
Vertices and Edges of Dirichlet Tessellation
Array of Simulation Envelopes of Summary Function
Simulation Envelopes of Summary Function for 3D Point Pattern
Recompute Envelopes
Fourier Basis Functions
Whittle-Matern Determinantal Point Process Model
Approximate Pair Correlation Function of Determinantal Point Process Model
Invoke Text Editor on Hyperframe
Mean, Median, Quantiles of Pixel Values on a Linear Network
Pool Several Quadrat Tests
Create a Line Segment Pattern
Plot a List of Point Patterns
Multidimensional Space-Time Point Pattern
Cartesian Coordinates for a Pixel Raster
Evaluate Expression Involving Functions
Test Whether Points Are Inside A Window
Hybrid Interaction Family
Evaluate Expression Involving Pixel Images
Linear Pair Correlation Function
Intensity Estimates Using Quadrat Counts
Histogram of Pixel Values in an Image
Kaplan-Meier and Reduced Sample Estimator using Histograms
Internal function calculating eig and index
Integral of a Pixel Image
Apply Function Pixelwise to List of Images
Create a Pixel Image Object
Add margins to rectangle
Empirical Intensity of Line Segment Pattern
List Dihedral Triples in a Graph
Discrete and Continuous Components of a Measure
Nearest neighbour distances in three dimensions
Methods for Multi-Dimensional Box
Methods for Three-Dimensional Box
Methods for Linear Networks
Extract Design Matrix from Spatial Logistic Regression Model
Spatial Function Class
Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
Multitype K Function (Cross-type) for Linear Point Pattern
Test Whether An Object Is A Point Pattern on a Linear Network
Test Whether A Point Process Model is Marked
Linear K Function
Create a Linear Network
Fit Cluster or Cox Point Process Model
Extract or Change the Plot Formula for a Function Value Table
Lengths of Line Segments
Weighted Empirical Cumulative Distribution Function
Fit Point Process Model to Point Pattern on Linear Network
Sibling Probability of Cluster Point Process
Generate Poisson Point Pattern
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
Perfect Simulation of the Penttinen Process
Predicted or Fitted Values from Spatial Logistic Regression
Divide Region into Quadrats
Pool Data from Several Ratio Objects
Repulsiveness Index of a Determinantal Point Process Model
Evaluate Expression Involving Pixel Images on Linear Network
Reorder Levels of a Factor-Valued Image or Pattern
Simulate Poisson Cluster Process
Generate a Quadrature Scheme from a Point Pattern
Simulate Matern Model I
Define Point Process Model for Metropolis-Hastings Simulation.
Ratio object
Simulate Matern Cluster Process
Rotate a Line Segment Pattern
Integral of a Measure
Point Pair Orientation Distribution
Number of Line Segments in a Line Segment Pattern
Interpolate a Pixel Image
Mark of Nearest Neighbour
Randomly Shift a Line Segment Pattern
Make Measures Compatible
Hexagonal Grid or Tessellation
Hierarchical Pairwise Interaction Process Family
Make Windows Compatible
Intensity of Fitted Point Process Model
Point and Click Interface for Displaying Spatial Data
Richardson Extrapolation
Require a Specific Version of a Package
Compute Unless Previously Saved
Mark Correlation Function
Exchange X and Y Coordinates
Tessellation on a Linear Network
Merge Levels of a Factor
Extract Design Matrix from Point Process Model
K-th Nearest Point Map
Infinite Straight Lines
Find Line Segment Nearest to Each Point
Quadrature Scheme on a Linear Network
Empirical Intensity of Point Pattern on Linear Network
Methods for Layered Objects
Compute Disc of Given Radius in Linear Network
Fit Point Process Model Involving Irregular Trend Parameters
Test whether Object is Multitype
Create Colour-Valued Pixel Image
Test Whether A Point Pattern is Marked
Random Perturbation of a Point Pattern
Leverage Measure for Spatial Point Process Model
Estimate window from points alone
plot a Fitted Multiple Point Process Model
Count Number of Vertices
Nearest Neighbour Distances in Any Dimensions
Q-Q Plot of Residuals from Fitted Point Process Model
Extract Pixel Centres as Point Pattern
Rectangular grid of points
Dirichlet Tessellation on a Linear Network
Kaplan-Meier Estimator using Histogram Data
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Pair Correlation Function
Mark Connection Function
Geometrical Operations for Distance Functions
Compute Quadrature Weights Based on Grid Counts
Lurking Variable Plot
Scatterplot Matrix for Pixel Images
Hopkins-Skellam Test
Improve Intensity Estimate of Fitted Cluster Point Process Model
Specify Simulation Window or Expansion Rule
Point and Click Interface for Exploratory Analysis of Point Pattern
Pair Correlation Function obtained from array of K functions
Inhomogeneous Pair Correlation Function
Draw Points or Lines on a Surface Viewed in Perspective
Positive and Negative Parts, and Variation, of a Measure
Plot a plotppm Object Created by plot.ppm
Plot a Fitted Spatial Logistic Regression
Plot a Fitted Point Process Model on a Linear Network
Plot a Colour Map
Compute Predictors from Sufficient Dimension Reduction
Methods for Intensity Functions of Two Spatial Covariates
Methods for Determinantal Point Process Models
Extract Design Matrix of Point Process Model for Several Point Patterns
Methods for Intensity Functions of Spatial Covariate
Level Set of a Pixel Image
Find Pixel Nearest to a Given Point
Determine Which Tile Contains Each Given Point on a Linear Network
Plot a fitted determinantal point process
Neighbourhood density function
Marks of a Point Pattern
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
Make Pixel Images Compatible
Test Whether An Object Is Empty
Make Function Tables Compatible
Predict Point Process Model on Linear Network
Plot a Spatial Window
Pool Data from Several Function Arrays
Plot Result of Scan Test
Prediction from a Fitted Point Process Model
Plot a Graphics Symbol Map
Prediction for Fitted Multiple Point Process Model
Marks of a Line Segment Pattern
Subdivide Segments of a Network
Power of a Matrix
Methods for Cluster Point Process Models
Loglikelihood of Spatial Logistic Regression
Plot a Tessellation
Log Likelihood and AIC for Point Process Model
Mosaic Random Field
Generate Poisson Point Pattern in Three Dimensions
Test Whether Object is a Hybrid
Inhomogeneous Multitype Pair Correlation Function
(Cross-type) for Linear Point Pattern
Intersection of Tessellations on a Linear Network
Integral on a Linear Network
Find Largest Circle Inside Window
Test Whether An Object Is A Window
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Test Whether An Object Is A Fitted Point Process Model
Intersection, Union or Set Subtraction of Windows
Join Vertices in a Network
Randomly Shift a Point Pattern
Simulate a Point Process Model Fitted to Several Point Patterns
Rotational Average of a Pixel Image
Likelihood Ratio Test Statistic for Scan Test
Sufficient Dimension Reduction
Read Point Pattern From Data File
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Methods for Fitted Point Process Models on a Linear Network
Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
Inhomogeneous Neighbourhood Density Function
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Distance for a Point Pattern Matching
Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
Marks of a Tessellation
Inhomogeneous Linear K Function
Class owin
Nearest Neighbours on a Linear Network
Methods for Multidimensional Space-Time Point Patterns
Summarise Marks in Every Neighbourhood in a Point Pattern
Methods for Spatial Functions
Log Likelihood and AIC for Multiple Point Process Model
Local Multitype K Function (Dot-Type)
Fit the Matern Cluster Point Process by Minimum Contrast
Methods for Objective Function Surfaces
Switzer-type Point Process on Linear Network
Class of Line Segment Patterns
Prediction from a Fitted Cluster Point Process Model
Extract the Variables in a Point Process Model
Pseudoscore Diagnostic For Fitted Model against General Alternative
Pool Several Functions
Nonparametric Estimate of Spatially-Varying Relative Risk
Simulate Thomas Process
Class of Quadrature Schemes
Alternating Gibbs Sampler for Multitype Hard Core Process
Simulate a Fitted Point Process Model on a Linear Network
Compute Images of Constructed Covariates
Nearest Neighbours Between Two Patterns
Convert Point Pattern to Pixel Image
Quantiles of Weighted Empirical Cumulative Distribution Function
Quantiles of a Density Estimate
Nearest neighbour
Simulate a Fitted Spatial Logistic Regression Model
Simulate a Fitted Gibbs Point Process Model
Simulate Matern Model II
Nearest Neighbour Orientation Distribution
Display the result of a quadrat counting test.
Method of Minimum Contrast
Methods for Fitted Interactions
Midpoints of Line Segment Pattern
Methods for three-dimensional point patterns
Alternating Gibbs Sampler for Area-Interaction Process
Nearest Neighbour Map on Linear Network
Nested Split
Interaction Distance of a Point Process
Determine Initial State for Metropolis-Hastings Simulation.
Residuals for Point Process Model Fitted to Multiple Point Patterns
Nearest Neighbour Clutter Removal
Dummy Function Returns Number of Points
Scatterplot Matrix for Pixel Images on a Linear Network
Interpret Fitted Model for Metropolis-Hastings Simulation.
Residuals for Fitted Point Process Model
Nearest Neighbours Between Two Patterns in 3D
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
Pairwise distances in Three Dimensions
Range of Interaction for a Determinantal Point Process Model
Pool Data from a List of Objects
Create a Window
Plot Pixel Image on Linear Network
Plot Leverage Function
Partial Residuals for Point Process Model
Marked pair correlation function
Repair Internal Data in a Linear Network
Plot a Simulation Envelope
Pairwise distances
Extract Model Parameters in Understandable Form
Draw Points on Existing Plot
Perimeter Length of Window
Plot a Function Array
Plot a List of Things
Quadrature Scheme Based on Pixel Grid
Plot a Signed or Vector-Valued Measure
Plot an Arrow
Plot a Recursively Partitioned Point Process Model
Pairwise distances
Compute Area of Overlap
Fit Point Process Model to Data
Class of Point Patterns
Dispersion Test for Spatial Point Pattern Based on
Quadrat Counts
Three Dimensional Point Pattern
Random Thinning
Rotate a Pixel Image
Random Points on a Linear Network
Recursively Partitioned Point Process Model
Generate grid of parallel lines with random displacement
Nearest Neighbours Between Two Patterns in Any Dimensions
Plot a Yardstick or Scale Bar
Convert Spatial Object to Pixel Image
Random Shift
Set Covariance of a Window
Rotate or Shift Infinite Lines
Random Thinning of Clumps
Number of Points in a Point Pattern
Simulate Neyman-Scott Process
Nearest neighbour distances
Data Sharpening of Point Pattern
Generate N Uniform Random Points in Any Dimensions
Apply Scalar Dilation
Pairwise distances
Apply Vector Translation To Point Pattern
Apply Vector Translation To Window
Move Point To Nearest Line
Nearest neighbour distances on a linear network
Apply a Function Over a List and Obtain a List of Objects
Spatial Logistic Regression
Pad the Border of a Pixel Image
Nearest neighbours in three dimensions
Identify Nearest Neighbours on a Linear Network
Plot a linear network
Nearest Neighbour Index Map as a Function
Print Brief Details of an Image
Distance Between Two Point Patterns
Pairwise Interaction Process Family
Pair Correlation Function of a Three-Dimensional Point Pattern
Pool Data
Multitype pair correlation function (cross-type)
Panel Plots using Colour Image or Contour Lines
Plot a Tessellation on a Linear Network
Plot Function Values
Saturated Pairwise Interaction Point Process Family
Extract Quadrature Scheme Used to Fit a Point Process Model
Convert Line Segment Pattern to Pixel Image
Plot a Studentised Permutation Test
Ord Interaction Process Family
plot a Spatial Line Segment Pattern
Plot Entries in a Hyperframe
Quadrat counting for a point pattern
Plot a Spatial Quadrature Scheme
Pool Data from Several Envelopes
Plot Profile Likelihood
Leverage and Influence Measures for Spatial Point Process Model
Plot Quadrat Counts
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
Perfect Simulation of the Diggle-Gratton Process
Polynomial in One or Two Variables
Pairwise shortest-path distances between points on
a linear network
Print Brief Details of a Spatial Window
Find Nearest Point in a Region
Print Brief Details of a Line Segment Pattern Dataset
Create a Point Pattern
Layered Plot
Prune a Recursively Partitioned Point Process Model
Calculate Pseudo-R-Squared for Point Process Model
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Multitype pair correlation function (i-to-any)
Quasirandom Patterns
Print a Quadrature Scheme
Perfect Simulation of the Diggle-Gates-Stibbard Process
Mosaic Random Set
Reflect In Origin
Sample Quantiles of Pixel Image
Plot Laslett Transform
Perfect Simulation of the Strauss Process
Simulate Cell Process on Linear Network
Perfect Simulation of the Strauss-Hardcore Process
Range of Interaction for a Cox or Cluster Point Process Model
Convert dataset to another unit of length
Simulate Baddeley-Silverman Cell Process
Plot a Pixel Image
Theoretical Distribution of Nearest Neighbour Distance
plot a Spatial Point Pattern
Contact Distribution Function using Rectangular Structuring Element
Convert Window to Pixel Image
Simulate Neyman-Scott Point Process with Cauchy cluster kernel
Resample a Point Pattern by Resampling Quadrats
Extract Random Effects from Point Process Model
Plot a List of Images
Place Points Evenly Along Specified Lines
Convert Pixel Image to Another Unit of Length
Nonparametric Estimate of Intensity as Function of a Covariate
Smoothed Relative Density of Pairs of Covariate Values
Print a Fitted Point Process Model
Generate Random Numbers of Points for Cell Process
Plot a Point Matching
Simulate Gauss-Poisson Process
Print Brief Details of a Point Pattern Dataset
Plot a Spatially Sampled Function
Create a Point Matching
Class of Point Matchings
Class of Fitted Point Process Models
Simulation of a Determinantal Point Process
Perfect Simulation of the Hardcore Process
Fit Point Process Model to Point Pattern Data
Tessellation Using Polar Coordinates
Simulation of Determinantal Point Process Model
Generate a Logistic Regression Quadrature Scheme from a Point Pattern
Print Progress Reports
Fit Models by Profile Maximum Pseudolikelihood or AIC
Chi-Squared Test for Multiple Point Process Model Based on
Quadrat Counts
Dispersion Test of CSR for Split Point Pattern Based on
Quadrat Counts
Distance Map Using Rectangular Distance Metric
Quantile Tessellation
Simulate point patterns using the Metropolis-Hastings algorithm.
Convert Line Segment Pattern to Another Unit of Length
Range of Function Values
Alternating Gibbs Sampler for Multitype Point Processes
Build Point Process Model for Metropolis-Hastings Simulation.
Detect Numerical Rounding
Random Re-Labelling of Point Pattern
Internal spatstat functions
Generate Quasirandom Point Pattern in Given Window
Create A Regular Polygon
Convert Point Pattern to Another Unit of Length
Simulate Log-Gaussian Cox Process
Simulate Simple Sequential Inhibition
Generate N Uniform Random Points in Three Dimensions
Define Point Process Model for Metropolis-Hastings Simulation.
Generate N Random Points
Apply Numerical Rounding to Spatial Coordinates
Rotate a Window
Parametric Estimate of Spatially-Varying Relative Risk
Estimate of Spatially-Varying Relative Risk
Residuals for Fitted Determinantal Point Process Model
Reduced Sample Estimator using Histogram Data
Set Control Parameters for Metropolis-Hastings Algorithm.
Test of Spatial Segregation of Types
Run Point-and-Click Interface
Generate Poisson Random Line Process
Simulate from a Fitted Point Process Model
Convert Window Back To Rectangle
Generate Multitype Poisson Point Pattern
Convert Window to Another Unit of Length
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Rose Diagram
Generate Poisson Point Pattern on Line Segments
Rescale Data to Lie Between Specified Limits
Poisson Line Tessellation
Generate N Random Multitype Points
Simulate Stratified Random Point Pattern
Side Lengths of Enclosing Rectangle of a Window
List of Two-Dimensional Spatial Objects
Crossing Points in a Line Segment Pattern
Generate N Uniform Random Points On Line Segments
Generate N Uniform Random Points in a Disc
Simulate a Fitted Cluster Point Process Model
Residuals for Fitted Cox or Cluster Point Process Model
Randomly Shift a List of Point Patterns
Rotate
Spatial Scan Test
Random Pixel Noise
Approximate a Polygon by a Simpler Polygon
Poisson Point Process on a Linear Network
Generate Poisson Point Pattern in Any Dimensions
Simulated Annealing or Simulated Tempering for Gibbs Point Processes
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
Receiver Operating Characteristic
Cut Line Segments Where They Intersect
Uniform Random Points on a Linear Network
Simulate systematic random point pattern
Apply Vector Translation
Rotate a Point Pattern
Apply Vector Translation To Line Segment Pattern
Generate N Uniform Random Points
Print Names and Version Numbers of Libraries Loaded
Simple Point-and-Click Interface Panels
Apply Vector Translation To Pixel Image
Deprecated spatstat functions
Spatial Dimension of a Dataset
Spatial Cumulative Distribution Function