Learn R Programming

⚠️There's a newer version (3.3-1) of this package.Take me there.

spatstat (version 1.25-3)

Spatial Point Pattern analysis, model-fitting, simulation, tests

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

Copy Link

Version

Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.25-3

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

February 5th, 2012

Functions in spatstat (1.25-3)

Hybrid Geyer Point Process Model

Extract or Replace Subset of Tessellation

Reduced Second Moment Measure

The Hard Core Point Process Model

Connected components of an image or window

Determine A Common Spatial Domain And Pixel Resolution

Difference of Disc Areas

Extract Subset of Function Array

Extract Subset of Line Segment Pattern

Inhomogeneous Multitype K Dot Function

Extract Subset of Image

Pixel Image Approximation of a Window

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Model Compensator of K Function

Subdivide a Window or Tessellation using a Set of Lines

Test Whether Pixel Images Are Compatible

Cross Validated Bandwidth Selection for Relative Risk Estimation

Aherne's hamster tumour data

K-function using FFT

Inhomogeneous Cross Type L Function

Collapse Several Function Tables into One

Morphological Erosion

Cross Validated Bandwidth Selection for Spatial Smoothing

Create Pixel Image on Linear Network

Pair Correlation Function obtained from K Function

Nearest Neighbour Distance Function G

Residual K Function

Hyper Data Frame

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Marked J Function

Multitype J Function (i-to-any)

Convert Pixel Image from Numeric to Factor

Diggle-Gratton model

Extract.splitppp

Extract or Replace Sub-Patterns

The Area Interaction Point Process Model

The Strauss / Hard Core Point Process Model

Parameter influence measure

Convert Function Value Table to Function

Simulate systematic random point pattern

Tropical rain forest trees

Test Whether An Object Is A Pixel Image

Methods for three-dimensional point patterns

Kernel Smoothed Intensity of Point Pattern

Ord's Interaction model

Nearest neighbours in three dimensions

Three-Dimensional Box

Convert a Window to a Polygonal Window

The Multitype Strauss Point Process Model

K-function of a Three-Dimensional Point Pattern

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Convert Data To Tessellation

Bounding Box of a Window or Point Pattern

Inhomogeneous K-function

Artificial Data Point Pattern

as.data.frame.im

Convert Pixel Image to Data Frame

Reset Values in Subset of Image

Convert and Compare Colours in Different Formats

Empty Space Function of a Three-Dimensional Point Pattern

Pine saplings in Finland.

Longleaf Pines Point Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Generate Poisson Point Pattern in Three Dimensions

Extract or Replace Subset of a List of Things

Summarizing a Fitted Point Process Model

Nearest Neighbours Between Two Patterns

Contour plot of pixel image

edges2triangles

List Triangles in a Graph

Pairwise distances in Three Dimensions

Level Set of a Pixel Image

Multitype K Function (Cross-type)

Crossing Points of Two Line Segment Patterns

Hughes' Amacrine Cell Data

Interactively Define a Polygon

Diameter of an Object

Multitype J Function (i-to-j)

The Piecewise Constant Pairwise Interaction Point Process Model

Class of Point Patterns

Diagnostics for random marking

Simulation Envelopes of Summary Function

Inhomogeneous Multitype L Dot Function

Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)

plot.influence.ppm

Plot Influence Measure

Kernel Smoothing of Line Segment Pattern

Apply Affine Transformation To Window

Plot a tessellation

model.matrix.ppm

Extract Design Matrix from Point Process Model

Geometrical Calculations for Multi-Dimensional Box

Concatenate x,y Coordinate Vectors

Geyer's Saturation Point Process Model

clarkevans.test

Clark and Evans Test

Intersection, Union or Set Subtraction of Two Windows

Window in Shape of Letter R

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern

Evaluate Expression Involving Function Arrays

Convert Data To Class ppp

The Strauss Point Process Model

Berman-Huntington points and lines data

Multitype L-function (cross-type)

Multitype Nearest Neighbour Distance Function (i-to-any)

Estimate the I-function

Number of Points in a Point Pattern

Poisson Point Process Model

Estimate the J-function

Spatial smoothing of observations at irregular points

Extract the Interaction from a Fitted Point Process Model

Chorley-Ribble Cancer Data

multiplicity.ppp

Count Multiplicity of Duplicate Points

Clark and Evans Aggregation Index

Extract or Replace Subset of Point Pattern

Orientation Angles of Line Segments

Beadlet Anemones Data

Multi-Dimensional Box

Border Region of a Window

Generic Ord Interaction model

Diggle's Heather Data

Colour Lookup Tables

Convert Data to Hyperframe

Multitype pair correlation function (i-to-any)

Morphological Dilation

Circumradius and Diameter of a Linear Network

Local pair correlation function

Fitted Conditional Intensity for Point Process Model

Superimpose Several Geometric Patterns

project2segment

Move Point To Nearest Line

The Lennard-Jones Potential

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Convert Pixel Image to Matrix

Infinite Straight Lines

Exchange X and Y Coordinates

Convert Data To Class owin

Calculate four standard summary functions of a point pattern.

Simulate Stratified Random Point Pattern

Nearest neighbour

Plot a Pixel Image

Function Arrays for Spatial Patterns

Generate Poisson Point Pattern in Any Dimensions

Apply a Function to a Point Pattern Broken Down by Factor

Safely Convert Point Pattern Window to Binary Mask

Lengths of Line Segments

Simulate Simple Sequential Inhibition

Apply Smoothing to Function Values

Envelope for Point Patterns on Linear Network

Convert Data to Numeric Values by Constructing Dummy Variables

Third order summary statistic

spatstat-internal

Internal spatstat functions

Method of Minimum Contrast

pairdist.default

Pairwise distances

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

The Fiksel Interaction

Simulate Matern Cluster Process

Area of a Window

Evaluate an Expression in a Function Table

Lurking variable plot

Kolmogorov-Smirnov Test for Point Process Model

Pairwise distances

model.frame.ppm

Extract the Environment of a Point Process Model

nearest.raster.point

Find Pixel Nearest to a Given Point

Coefficients of Fitted Spatial Logistic Regression Model

Apply Function to Image Broken Down by Factor

K function of a model

Pair Correlation Function of Point Pattern

Convert Data To Class psp

ANOVA for Fitted Point Process Models on Linear Network

Japanese Pines Point Pattern

Fit the Neyman-Scott cluster process with Cauchy kernel

Point and Click Interface for Displaying a Point Pattern

Morphological Closing

Test Whether Points Are Inside A Window

Evaluate Expression Involving Functions

Plot a List of Things

Endpoints of Line Segment Pattern

rPoissonCluster

Simulate Poisson Cluster Process

Generate a Quadrature Scheme from a Point Pattern

Convert to Pixel Image

Find Line Segment Nearest to Each Point

Humberside Data on Childhood Leukaemia and Lymphoma

Combine Two Line Segment Patterns

envelope.envelope

Recompute Envelopes

Influenza Virus Proteins

Generate N Uniform Random Points

Test Whether a Window is Convex

Distance Between Two Point Patterns

Methods for Units

Extract Subset of Function Values

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Print News About Latest Version of Package

Delaunay Triangulation of Point Pattern

Multitype Nearest Neighbour Distance Function (i-to-j)

Distance to Boundary of Window

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Class of Line Segment Patterns

Apply Affine Transformation To Line Segment Pattern

Nearest Neighbour Clutter Removal

Create a Function Value Table

Test Whether An Object Is A Window

Diagnostic Plots for Fitted Point Process Model

Extract Original Data from a Fitted Point Process Model

Linear K Function

Berman's Tests for Point Process Model

Test Whether An Object Is A Fitted Point Process Model

Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True

Distance to Boundary of Window

Make Pixel Images Compatible

Convex Hull of Points

Weighted Empirical Cumulative Distribution Function

Pairwise Distances in Any Dimensions

Integral of a Pixel Image

Divide Region into Quadrats

pppmatching.object

Class of Point Matchings

Apply Affine Transformation To Point Pattern

Compute Images of Constructed Covariates

Extract Subset of Signed or Vector Measure

spatstat-deprecated

Deprecated spatstat functions

Perfect Simulation of the Hardcore Process

Define Point Process Model for Metropolis-Hastings Simulation.

complement.owin

Take Complement of a Window

Test Whether A Point Pattern is Marked

Make Periodic Copies of a Spatial Pattern

Print Progress Reports

Create Point Pattern on Linear Network

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Exponential Energy Marks

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Murchison gold deposits

Compute Quadrature Weights Based on Grid Counts

Fit Point Process Model to Point Pattern on Linear Network

Simulate Matern Model II

Spatial Scan Test

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Distance for a Point Pattern Matching

Nearest neighbour distances

New Zealand Trees Point Pattern

Subset of Quadrature Scheme

Galaxies in the Shapley Supercluster

pairwise.family

Pairwise Interaction Process Family

Point Patterns of New Brunswick Forest Fires

Geometrical Calculations for Three-Dimensional Box

Simulated Point Pattern

Methods for Multi-Dimensional Box

Fit the Thomas Point Process by Minimum Contrast

Identify Segments in a Line Segment Pattern

Beta Ganglion Cells in Cat Retina, Old Version

Multitype pair correlation function (cross-type)

Methods for Cluster Point Process Models

matclust.estpcf

Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation

Neighbourhood density function

Kaplan-Meier and Reduced Sample Estimator using Histograms

Approximate a Polygon by a Simpler Polygon

Set Control Parameters for Metropolis-Hastings Algorithm.

Extract List of Tiles in a Tessellation

Create List of Plotting Layers

Areas of Morphological Dilations

Pair Correlation Function obtained from array of K functions

Inhomogeneous Pair Correlation Function

Pair Correlation Function

Pairwise distances between two different three-dimensional point patterns

Compute Fitted Effect of a Spatial Covariate in a Point Process Model

Plot a Colour Map

Test Whether Function Objects Are Compatible

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Convert Point Pattern to Pixel Image

Spatial Covariance of a Pixel Image

Residual Diagnostics for Multiple Fitted Models

Scatterplot Matrix for Pixel Images

Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Convert Line Segment Pattern to Pixel Image

Test Whether Objects Are Compatible

Fit Cluster or Cox Point Process Model

compatible.fasp

Test Whether Function Arrays Are Compatible

Summarise Marks in Every Neighbourhood in a Point Pattern

Optimise Irregular Trend Parameters in Point Process Model

Random Perturbation of a Point Pattern

Three Dimensional Point Pattern

Plot a Function Array

Convert Window to Pixel Image

methods.distfun

Methods for Distance Functions

Convert Pixel Image to Matrix or Array

Apply Vector Translation To Window

Loglikelihood of Spatial Logistic Regression

Define Point Process Model for Metropolis-Hastings Simulation.

Summary of a List of Things

Extract Dummy Points Used to Fit a Point Process Model

Difference of Disc Areas

Determine Whether One Window is Contained In Another

Hutchings' Bramble Canes data

Intersect Infinite Straight Lines with a Window

Rectangular grid of points

Convert Spatial Object to Pixel Image

Nearest neighbour distances in three dimensions

Vertices of a Window

Ord Interaction Process Family

Cross Validated Bandwidth Selection for Kernel Density

Rotate a Line Segment Pattern

Union of Data and Dummy Points

rshift.splitppp

Randomly Shift a List of Point Patterns

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Uniform Random Points on a Linear Network

Corners of a rectangle

Theoretical Distribution of Nearest Neighbour Distance

Weighted Histogram

Generate a Default Pattern of Dummy Points

Weighted kernel smoother

Combine Function Value Tables

Sample Quantiles of Pixel Image

Apply Vector Translation To Point Pattern

plot.hyperframe

Plot Entries in a Hyperframe

Convert Line Segment Pattern to Another Unit of Length

Place Points Evenly Along Specified Lines

Fit the Thomas Point Process by Minimum Contrast

Mosaic Random Set

Plot a Simulation Envelope

Plot a Spatial Kolmogorov-Smirnov Test

Create a Point Matching

Convert Pixel Image to Another Unit of Length

Identify Pixelwise Maximum of Several Pixel Images

Convert Polygonal Region into Different Format

Q-Q Plot of Residuals from Fitted Point Process Model

Update a Fitted Cluster Point Process Model

Predicted or Fitted Values from Spatial Logistic Regression

Simulate Log-Gaussian Cox Process

Recognise Stationary and Poisson Point Process Models

Prediction from a Fitted Point Process Model

Distance Map of Point Pattern

Random Thinning

Generate N Random Points

spatstat.options

Internal Options in Spatstat Package

Smoothing Estimate of Covariate Transformation

Divide Image Into Sub-images

Reduced Sample Estimator using Histogram Data

Class of Images

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Generate N Uniform Random Points in Any Dimensions

Pairwise distances between two different point patterns

Interaction Distance of a Point Process

Simulate from a Fitted Point Process Model

Simulate a Fitted Gibbs Point Process Model

Print Brief Details of an Image

plot a Spatial Point Pattern

Simulate Baddeley-Silverman Cell Process

Print Brief Details of a Point Pattern Dataset

Read Point Pattern From Data File

Determine Initial State for Metropolis-Hastings Simulation.

Summary of a Line Segment Pattern Dataset

Print a Fitted Point Process Model

Summarizing a Pixel Image

Fry Plot of Point Pattern

Mosaic Random Field

Circular Window

Intersection of Two Tessellations

Inhomogeneous Neighbourhood Density Function

Convert dataset to another unit of length

Create a Point Pattern

plot a Fitted Point Process Model

Estimate window from points alone

Simulate a Fitted Cluster Point Process Model

Quadrature Scheme Based on Pixel Grid

Pairwise distances

Generate Poisson Point Pattern

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Cut margins from rectangle

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

plot a Spatial Quadrature Scheme

Perfect Simulation of the Diggle-Gates-Stibbard Process

Simulate Matern Model I

Convert Window to Another Unit of Length

Volume of an Object

The Soft Core Point Process Model

Methods for Point Patterns on a Linear Network

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Print Brief Details of a Spatial Window

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Divide Point Pattern into Sub-patterns

Class of Fitted Point Process Models

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Extract Unique Points from a Spatial Point Pattern

Check Whether Point Process Model is Valid

Generate grid of parallel lines with random displacement

plot.bermantest

Plot Result of Berman Test

Profile Maximum Pseudolikelihood

Estimate Variance of Summary Statistic by Subdivision

scaletointerval

Rescale Data to Lie Between Specified Limits

Apply Vector Translation To Pixel Image

Compute Disc of Given Radius in Linear Network

Ponderosa Pine Tree Point Pattern

Print a Quadrature Scheme

vargamma.estpcf

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Randomly Shift a Line Segment Pattern

Plot a Signed or Vector-Valued Measure

Poisson Point Process on a Linear Network

Linear Pair Correlation Function

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Summary of a Point Pattern Dataset

Simulate Neyman-Scott Process

Coefficients of Fitted Point Process Model

Variance-Covariance Matrix for a Fitted Point Process Model

Spatial Logistic Regression

Simulate a Fitted Spatial Logistic Regression Model

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Foxall's Distance Functions

Poisson Line Tessellation

Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image

Nearest Neighbours in Any Dimensions

Analysis of Deviance for Spatial Logistic Regression Models

Morishita Index Plot

Mark Correlation Integral

Find Largest Circle Inside Window

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Spokes pattern of dummy points

Plot a Fitted Spatial Logistic Regression

Simulate Gauss-Poisson Process

Distance Map as a Function

Interpolate a Pixel Image

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Locally Scaled K-function

Create a Linear Network

Number of Line Segments in a Line Segment Pattern

Perfect Simulation of the Strauss Process

summary.splitppp

Summary of a Split Point Pattern

Plot a List of Point Patterns

Histogram of Pixel Values in an Image

Generate Poisson Point Pattern on Line Segments

Triplet Interaction Family

Apply Vector Translation

Marks of a Line Segment Pattern

Fit the Matern Cluster Point Process by Minimum Contrast

Morphological Opening

Simple Example of Linear Network

Random Re-Labelling of Point Pattern

Log Likelihood and AIC for Point Process Model

Fitted Probabilities for Spatial Logistic Regression

Pool Data from Several Envelopes

Convert Point Pattern to Another Unit of Length

Multidimensional Space-Time Point Pattern

Generate N Random Multitype Points

Generate Poisson Random Line Process

Cartesian Coordinates for a Pixel Raster

Spruces Point Pattern

Quadrat counting for a point pattern

quadratresample

Resample a Point Pattern by Resampling Quadrats

Spherical Contact Distribution Function

Marked Nearest Neighbour Distance Function

Multitype L-function (i-to-any)

Distance to Boundary of Window

Chicago Street Crime Data

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Generic Pairwise Interaction model

Inhomogeneous Cross K Function

Scott's Rule for Bandwidth Selection for Kernel Density

crossdist.default

Pairwise distances between two different sets of points

ANOVA for Fitted Point Process Models

The Multitype Hard Core Point Process Model

Gorilla Nesting Sites

Diameter of a Window

Residual G Function

Areas of Morphological Erosions

Point and Click Interface for Exploratory Analysis of Point Pattern

Influence Measure for Spatial Point Process Model

Nearest Neighbour Distances in Any Dimensions

Estimate the empty space function F

Lansing Woods Point Pattern

Mark Correlation Function

plot a Spatial Line Segment Pattern

Model Formulae for Gibbs Point Process Models

Expand Window By Factor

plot.leverage.ppm

Plot Leverage Function

Methods for Intensity Functions of Spatial Covariate

Plot a three-dimensional point pattern

Signed or Vector-Valued Measure

Plot a linear network

Identify Covariates Involved in each Model Term

Plot Pixel Image on Linear Network

Perfect Simulation of the Diggle-Gratton Process

Methods for Spatial Logistic Regression Models

Pair Correlation Function of a Three-Dimensional Point Pattern

Pairwise distances between line segments

California Redwoods Point Pattern (Ripley's Subset)

Generate N Uniform Random Points in a Disc

Print Brief Details of a Line Segment Pattern Dataset

Set Covariance of a Window

Convert Line Segment Pattern to Binary Pixel Mask

Nearest neighbour distances between line segments

Data Sharpening of Point Pattern

Compute Integral of Function Against Cumulative Distribution

Interpret Fitted Model for Metropolis-Hastings Simulation.

Pool Data from Several Ratio Objects

Randomly Shift a Point Pattern

Create a Pixel Image Object

inforder.family

Infinite Order Interaction Family

Pairwise shortest-path distances between points on a linear network

Name for Unit of Length

Compute Areas of Tiles in a Tessellation

Summary of a Spatial Window

Saturated Pairwise Interaction Point Process Family

Multitype K Function (i-to-any)

bounding.box.xy

Convex Hull of Points

Bronze gradient filter data

The Triplet Point Process Model

Biological Cells Point Pattern

Interactively Add Points

Determine Duplicated Points in a Spatial Point Pattern

Convert Data to Three-Dimensional Box

Basis for Harmonic Functions

Pairwise distances between two different line segment patterns

Simulation Envelopes of Summary Function for 3D Point Pattern

Methods for Linear Networks

Pool Data from Several Function Arrays

Create a Window

Plot a plotppm Object Created by plot.ppm

Fit the Neyman-Scott cluster process with Cauchy kernel

Methods for Fitted Point Process Models on a Linear Network

Plot a fitted cluster point process

Perspective Plot of Pixel Image

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Pseudoscore Diagnostic For Fitted Model against General Alternative

Rotate a Window

Residuals for Fitted Point Process Model

Urkiola Woods Point Pattern

Inverse-distance weighted smoothing of observations at irregular points

Sufficient Statistic of Point Process Model

Create a Tessellation

Marked K-Function

Centroid of a window

Dirichlet Tessellation of Point Pattern

Apply Affine Transformation

Function Value Table

Test Whether Marks Are Present

Distance Map of Window

Test whether Object is Multitype

Test Whether An Object Is Empty

Inhomogeneous Linear K Function

Leverage Measure for Spatial Point Process Model

Mark Connection Function

Plot Function Values

Nonparametric Estimate of Spatially-Varying Relative Risk

Predict Point Process Model on Linear Network

Prediction from a Fitted Cluster Point Process Model

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Generate N Uniform Random Points in Three Dimensions

California Redwoods Point Pattern (Entire Dataset)

Summarizing a Quadrature Scheme

Force Point Process Model to be Valid

spatstat-package

The Spatstat Package

Rounding of Pixel Values

rescue.rectangle

Convert Window Back To Rectangle

Model Compensator of Nearest Neighbour Function

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Apply Gaussian Blur to a Pixel Image

Harkness-Isham ants' nests data

Interactively join vertices on a plot

Saturated Pairwise Interaction model

Area of Part of Disc

Compute Expansion Window for Simulation

Methods for Multidimensional Space-Time Point Patterns

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Kaplan-Meier Estimator using Histogram Data

Midpoints of Line Segment Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Perimeter Length of Window

Plot a Spatial Window

Pairwise distances

Fit Point Process Model to Data

Rotate a Point Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Create a Line Segment Pattern

Apply Vector Translation To Line Segment Pattern

Swedish Pines Point Pattern

Test Whether An Object Is A Point Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Create Colour-Valued Pixel Image

Inhomogeneous Linear Pair Correlation Function

Update a Fitted Point Process Model

Generate Multitype Poisson Point Pattern

Piecewise Constant Saturated Pairwise Interaction Point Process Model

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Extract Interaction Structure

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

Methods for Three-Dimensional Box

Identify Points in a Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Beta Ganglion Cells in Cat Retina

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Compute Quadratic Forms

Marks of a Point Pattern

Dummy Function Returns Number of Points

Simulate Thomas Process

Smooth a Signed or Vector-Valued Measure

Classify Points in a Point Pattern

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Distance Map of Line Segment Pattern

Class of Quadrature Schemes

Data and Code From JRSS Discussion Paper on Residuals

Plot a List of Things

Evaluate Expression Involving Pixel Images

Test Whether A Point Process Model is Marked