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