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