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spatstat (version 1.28-0)

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).

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Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.28-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

June 11th, 2012

Functions in spatstat (1.28-0)

Divide Point Pattern into Sub-patterns

Variance-Covariance Matrix for a Fitted Point Process Model

Inhomogeneous Cross K Function

Extract Subset of Function Values

The Triplet Point Process Model

Orientation Angles of Line Segments

Hughes' Amacrine Cell Data

Pixel Image Approximation of a Window

Convert Data To Tessellation

Test Whether Pixel Images Are Compatible

crossdist.default

Pairwise distances between two different sets of points

Name for Unit of Length

Delaunay Triangulation of Point Pattern

Summarizing a Pixel Image

Identify Pixelwise Maximum of Several Pixel Images

Kernel Smoothed Intensity of Point Pattern

Summarizing a Quadrature Scheme

Diagnostic Plots for Fitted Point Process Model

Test Expansion Rule

Extract Subset of Function Array

Extract Subset of Point Pattern on Linear Network

Geyer's Saturation Point Process Model

Marked J Function

Generic Pairwise Interaction model

The Strauss / Hard Core Point Process Model

Multitype K Function (Cross-type)

Apply Affine Transformation To Pixel Image

Inhomogeneous Marked K-Function

Inverse-distance weighted smoothing of observations at irregular points

Test Whether An Object Is A Pixel Image

Subdivide a Window or Tessellation using a Set of Lines

is.multitype.ppp

Test Whether A Point Pattern is Multitype

The Piecewise Constant Pairwise Interaction Point Process Model

Convert Pixel Image to Matrix or Array

Ord's Interaction model

Extract Interaction Structure

Methods for Linear Networks

Multi-Dimensional Box

Berman-Huntington points and lines data

Pairwise distances

Fit the Neyman-Scott cluster process with Cauchy kernel

Cross Validated Bandwidth Selection for Spatial Smoothing

bounding.box.xy

Convex Hull of Points

Evaluate Expression Involving Pixel Images

Influenza Virus Proteins

Pairwise Distances in Any Dimensions

Interactively join vertices on a plot

Plot a List of Things

Class of Images

Fit the Neyman-Scott cluster process with Cauchy kernel

Function Arrays for Spatial Patterns

Plot a fitted cluster point process

Biological Cells Point Pattern

Gorilla Nesting Sites

Interactively Add Points

Test Whether A Point Process Model is Marked

Prediction from a Fitted Cluster Point Process Model

Test Whether Marks Are Present

Define Point Process Model for Metropolis-Hastings Simulation.

Point and Click Interface for Displaying a Point Pattern

compatible.fasp

Test Whether Function Arrays Are Compatible

Determine Type of Window

Lansing Woods Point Pattern

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

Test Whether Objects Are Compatible

Log Likelihood and AIC for Point Process Model

Create a Tessellation

Update a Fitted Point Process Model

Check Whether Point Process Model is Valid

Create a Pixel Image Object

Volume of an Object

model.matrix.ppm

Extract Design Matrix from Point Process Model

Exchange X and Y Coordinates

Humberside Data on Childhood Leukaemia and Lymphoma

Create a Linear Network

Nearest Neighbours in Any Dimensions

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Make Periodic Copies of a Spatial Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Linear Pair Correlation Function

Extract Subset of Signed or Vector Measure

pairdist.default

Pairwise distances

Convert Line Segment Pattern to Pixel Image

Force Point Process Model to be Valid

Extract or Replace Subset of Tessellation

Methods for Intensity Functions of Spatial Covariate

Inhomogeneous Multitype L Dot Function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Analysis of Deviance for Spatial Logistic Regression Models

Mosaic Random Field

Plot a Fitted Spatial Logistic Regression

Multitype pair correlation function (cross-type)

Pairwise distances in Three Dimensions

Summarizing a Fitted Point Process Model

Cut margins from rectangle

Plot Function Values

ANOVA for Fitted Point Process Models

plot a Spatial Point Pattern

Perfect Simulation of the Hardcore Process

Smoothed Relative Density of Pairs of Covariate Values

Coefficients of Fitted Point Process Model

Spatial Scan Test

rshift.splitppp

Randomly Shift a List of Point Patterns

Extract Subset of Multidimensional Point Pattern

Diggle-Gratton model

Convert and Compare Colours in Different Formats

Mosaic Random Set

Apply Vector Translation To Window

Poisson Point Process Model

Extract Subset of Image

Reset Values in Subset of Image

Empty Space Function of a Three-Dimensional Point Pattern

Pairwise distances between two different three-dimensional point patterns

Simulate Thomas Process

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Distance to Boundary of Window

Apply a Function to a Point Pattern Broken Down by Factor

Model Compensator of K Function

Poisson Point Process on a Linear Network

Morphological Erosion

Apply Expansion Rule

Rotate a Window

Function Value Table

Reduced Second Moment Measure

Fry Plot of Point Pattern

Saturated Pairwise Interaction model

The Strauss Point Process Model

Divide Multidimensional Point Pattern into Sub-patterns

Galaxies in the Shapley Supercluster

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Convolution of Pixel Images

Envelope for Point Patterns on Linear Network

Find Largest Circle Inside Window

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Locally Scaled K-function

Test Whether A Point Pattern is Marked

Apply Affine Transformation To Point Pattern

Difference of Disc Areas

Determine Whether One Window is Contained In Another

Identify Segments in a Line Segment Pattern

Morishita Index Plot

Area of a Window

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

Nearest neighbour distances

Morphological Opening

Distance to Boundary of Window

complement.owin

Take Complement of a Window

Border Region of a Window

Corners of a rectangle

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Clark and Evans Aggregation Index

Compute Images of Constructed Covariates

Convex Hull of Points

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Midpoints of Line Segment Pattern

Dirichlet Tessellation of Point Pattern

Optimise Irregular Trend Parameters in Point Process Model

Scatterplot Matrix for Pixel Images

plot a Spatial Line Segment Pattern

Pairwise distances between line segments

Prediction from a Fitted Point Process Model

Classify Points in a Point Pattern

Print a Fitted Point Process Model

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

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

nearest.raster.point

Find Pixel Nearest to a Given Point

Extract.splitppp

Extract or Replace Sub-Patterns

Urkiola Woods Point Pattern

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

The Multitype Hard Core Point Process Model

Kaplan-Meier Estimator using Histogram Data

Exponential Energy Marks

The Soft Core Point Process Model

plot.influence.ppm

Plot Influence Measure

Q-Q Plot of Residuals from Fitted Point Process Model

Create a Point Pattern

Extract the Interaction from a Fitted Point Process Model

Convert Point Pattern to Pixel Image

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Print Brief Details of an Image

Generate Poisson Point Pattern

Print Brief Details of a Spatial Window

Interpret Fitted Model for Metropolis-Hastings Simulation.

Pseudoscore Diagnostic For Fitted Model against General Alternative

Determine Initial State for Metropolis-Hastings Simulation.

Pine saplings in Finland.

Diggle's Heather Data

ANOVA for Fitted Point Process Models on Linear Network

Convert Function Value Table to Function

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Beadlet Anemones Data

Set Covariance of a Window

Infinite Straight Lines

Chicago Street Crime Data

Random Thinning

clarkevans.test

Clark and Evans Test

Randomly Shift a Point Pattern

Point and Click Interface for Exploratory Analysis of Point Pattern

Kolmogorov-Smirnov Test for Point Process Model

Perfect Simulation of the Diggle-Gates-Stibbard Process

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Apply Vector Translation

Convert dataset to another unit of length

Residuals for Fitted Point Process Model

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Convert Window to Pixel Image

Ord Interaction Process Family

Extract Dummy Points Used to Fit a Point Process Model

Generate Multitype Poisson Point Pattern

Evaluate Expression Involving Function Arrays

Weighted Empirical Cumulative Distribution Function

Print News About Latest Version of Package

California Redwoods Point Pattern (Entire Dataset)

Fit Cluster or Cox Point Process Model

Compute Integral of Function Against Cumulative Distribution

Extract or Replace Subset of a List of Things

Combine Two Line Segment Patterns

Convert Window to Another Unit of Length

Apply Vector Translation To Point Pattern

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

Spherical Contact Distribution Function

The Lennard-Jones Potential

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Difference of Disc Areas

Convert a Window to a Polygonal Window

Specify Simulation Window or Expansion Rule

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Linear K Function

Generate N Random Points

Create Point Pattern on Linear Network

matclust.estpcf

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

Identify Covariates Involved in each Model Term

Apply Vector Translation To Line Segment Pattern

Perspective Plot of Pixel Image

Convert Data to Three-Dimensional Box

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Pairwise distances

Pairwise distances between two different point patterns

Convert Data To Class psp

Extract Original Data from a Fitted Point Process Model

Convert Line Segment Pattern to Binary Pixel Mask

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Multidimensional Space-Time Point Pattern

Influence Measure for Spatial Point Process Model

Spatial smoothing of observations at irregular points

Simulate Matern Cluster Process

Simulate Log-Gaussian Cox Process

inforder.family

Infinite Order Interaction Family

Pair Correlation Function obtained from K Function

Convert Line Segment Pattern to Another Unit of Length

Test Whether a Window is Convex

Methods for Point Patterns on a Linear Network

Kaplan-Meier and Reduced Sample Estimator using Histograms

Methods for three-dimensional point patterns

Methods for Units

Generate N Uniform Random Points in Three Dimensions

Number of Line Segments in a Line Segment Pattern

Inhomogeneous Linear K Function

Mark Connection Function

Loglikelihood of Spatial Logistic Regression

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Lurking variable plot

Apply Scalar Dilation

Simulate a Fitted Cluster Point Process Model

Fit the Matern Cluster Point Process by Minimum Contrast

Uniform Random Points on a Linear Network

Murchison gold deposits

Pool Data from Several Function Arrays

Quadrat counting for a point pattern

Distance Between Two Point Patterns

Random Perturbation of a Point Pattern

Find Line Segment Nearest to Each Point

Pair Correlation Function of Point Pattern

plot a Fitted Point Process Model

Print Brief Details of a Point Pattern Dataset

Set Control Parameters for Metropolis-Hastings Algorithm.

Nonparametric Estimate of Spatially-Varying Relative Risk

Simulate systematic random point pattern

Generate N Uniform Random Points

Create Colour-Valued Pixel Image

Rotate a Line Segment Pattern

Superimpose Several Geometric Patterns

Generate N Uniform Random Points in Any Dimensions

Diagnostics for random marking

Estimate the J-function

The Hard Core Point Process Model

spatstat-package

The Spatstat Package

Divide Image Into Sub-images

vargamma.estpcf

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

K function of a model

Calculate Summary Statistic for All Types in a Multitype Point Pattern

spatstat.options

Internal Options in Spatstat Package

Evaluate an Expression in a Function Table

Extract List of Tiles in a Tessellation

Smooth a Signed or Vector-Valued Measure

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

Convert to Pixel Image

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

Rounding of Pixel Values

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Plot a List of Things

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Hybrid Geyer Point Process Model

Apply Affine Transformation To Window

Scott's Rule for Bandwidth Selection for Kernel Density

Contour plot of pixel image

The Fiksel Interaction

Convert Data to Hyperframe

Distance Map of Line Segment Pattern

Evaluate Expression Involving Functions

Tropical rain forest trees

Nearest Neighbour Distance Function G

Diameter of an Object

Hutchings' Bramble Canes data

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Model Formulae for Gibbs Point Process Models

Spokes pattern of dummy points

Test Whether An Object Is A Window

Compute Quadratic Forms

Determine A Common Spatial Domain And Pixel Resolution

Pixel Values Along a Transect

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Convert Data to Numeric Values by Constructing Dummy Variables

Foxall's Distance Functions

Residual G Function

Safely Convert Point Pattern Window to Binary Mask

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

The Area Interaction Point Process Model

Connected components of an image or window

Interpolate a Pixel Image

Marked K-Function

Multitype L-function (i-to-any)

Convert Pixel Image from Numeric to Factor

Inhomogeneous Neighbourhood Density Function

Inhomogeneous Linear Pair Correlation Function

Crossing Points of Two Line Segment Patterns

Recognise Stationary and Poisson Point Process Models

Methods for Multi-Dimensional Box

Distance Map of Point Pattern

Third order summary statistic

project2segment

Move Point To Nearest Line

Residual K Function

Cartesian Coordinates for a Pixel Raster

Concatenate x,y Coordinate Vectors

Berman's Tests for Point Process Model

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Apply Gaussian Blur to a Pixel Image

Residual Diagnostics for Multiple Fitted Models

envelope.envelope

Recompute Envelopes

Create List of Plotting Layers

Leverage Measure for Spatial Point Process Model

Generate a Default Pattern of Dummy Points

methods.distfun

Methods for Distance Functions

Determine Duplicated Points in a Spatial Point Pattern

Methods for Spatial Logistic Regression Models

Bounding Box of a Window or Point Pattern

Areas of Morphological Erosions

multiplicity.ppp

Count Multiplicity of Duplicate Points

Theoretical Distribution of Nearest Neighbour Distance

Smoothing Estimate of Covariate Transformation

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Nearest Neighbour Clutter Removal

Generate Poisson Point Pattern in Three Dimensions

Nearest neighbour distances in three dimensions

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Circumradius and Diameter of a Linear Network

Generate N Uniform Random Points in a Disc

Apply Vector Translation To Pixel Image

Pairwise distances

Convert Spatial Object to Pixel Image

Fitted Conditional Intensity for Point Process Model

Interactively Define a Polygon

Integral of a Pixel Image

Circular Window

Plot a Simulation Envelope

plot a Spatial Quadrature Scheme

Japanese Pines Point Pattern

Plot a plotppm Object Created by plot.ppm

Level Set of a Pixel Image

Generate a Quadrature Scheme from a Point Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Local pair correlation function

Perfect Simulation of the Strauss Process

Define Point Process Model for Metropolis-Hastings Simulation.

Read Point Pattern From Data File

Simulate a Fitted Spatial Logistic Regression Model

Simulate a Fitted Gibbs Point Process Model

Spatial Covariance of a Pixel Image

Data Sharpening of Point Pattern

Simulated Point Pattern

Intersection, Union or Set Subtraction of Two Windows

Apply Smoothing to Function Values

Test Whether An Object Is A Fitted Point Process Model

Methods for Cluster Point Process Models

Compute Disc of Given Radius in Linear Network

Generate N Random Multitype Points

Multitype pair correlation function (i-to-any)

Poisson Line Tessellation

Plot a Colour Map

Profile Maximum Pseudolikelihood

Create Pixel Image on Linear Network

Simulate point patterns using the Metropolis-Hastings algorithm.

Mark Correlation Integral

Nearest Neighbours Between Two Patterns

Dummy Function Returns Number of Points

Print Brief Details of a Line Segment Pattern Dataset

Calculate four standard summary functions of a point pattern.

Inhomogeneous Cross Type L Function

Inhomogeneous Multitype K Dot Function

Saturated Pairwise Interaction Point Process Family

Multitype L-function (cross-type)

as.data.frame.im

Convert Pixel Image to Data Frame

pairwise.family

Pairwise Interaction Process Family

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

Pair Correlation Function of a Three-Dimensional Point Pattern

Pair Correlation Function obtained from array of K functions

Distance to Boundary of Window

Plot a three-dimensional point pattern

Chorley-Ribble Cancer Data

Centroid of a window

Intersect Infinite Straight Lines with a Window

Colour Lookup Tables

Pool Data from Several Ratio Objects

Plot a List of Point Patterns

pppmatching.object

Class of Point Matchings

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Print Progress Reports

Default Expansion Rule for Simulation of Model

Distance Map as a Function

Aherne's hamster tumour data

Class of Line Segment Patterns

Create a Function Value Table

Simulate Gauss-Poisson Process

California Redwoods Point Pattern (Ripley's Subset)

Reflect In Origin

Lengths of Line Segments

Mark Correlation Function

plot.bermantest

Plot Result of Berman Test

Place Points Evenly Along Specified Lines

Plot a Signed or Vector-Valued Measure

Three Dimensional Point Pattern

Fit Point Process Model to Data

Convert Pixel Image to Another Unit of Length

Class of Quadrature Schemes

Random Re-Labelling of Point Pattern

Rotate a Point Pattern

Generate Poisson Point Pattern on Line Segments

Spruces Point Pattern

spatstat-internal

Internal spatstat functions

Fit the Thomas Point Process by Minimum Contrast

Compute Areas of Tiles in a Tessellation

Generic Ord Interaction model

Bronze gradient filter data

Collapse Several Function Tables into One

Summary of a Spatial Window

Test Whether Function Objects Are Compatible

Estimate the I-function

summary.splitppp

Summary of a Split Point Pattern

Multitype K Function (i-to-any)

The Multitype Strauss Point Process Model

Make Pixel Images Compatible

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Signed or Vector-Valued Measure

Stoyan's Rule of Thumb for Bandwidth Selection

Nearest Neighbour Distances in Any Dimensions

Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests

Geometrical Calculations for Multi-Dimensional Box

Fit Point Process Model to Point Pattern on Linear Network

Histogram of Pixel Values in an Image

Print a Quadrature Scheme

Inhomogeneous Pair Correlation Function

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

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

Nearest neighbours in three dimensions

Perimeter Length of Window

Plot Pixel Image on Linear Network

Create a Point Matching

Simulate Matern Model II

Simulate Matern Model I

Interaction Distance of a Point Process

Convert Point Pattern to Another Unit of Length

Predict Point Process Model on Linear Network

Estimate window from points alone

quadratresample

Resample a Point Pattern by Resampling Quadrats

Generate grid of parallel lines with random displacement

Simulate Baddeley-Silverman Cell Process

Approximate a Polygon by a Simpler Polygon

Generate Poisson Random Line Process

Summary of a Point Pattern Dataset

Union of Data and Dummy Points

Triplet Interaction Family

Weighted Histogram

Multitype J Function (i-to-j)

Inhomogeneous K-function

Apply Affine Transformation

Convert Pixel Image to Matrix

Three-Dimensional Box

Cross Validated Bandwidth Selection for Relative Risk Estimation

Apply Function to Image Broken Down by Factor

Morphological Closing

Parameter influence measure

Distance Map of Window

Test Whether Points Are Inside A Window

Fit the Thomas Point Process by Minimum Contrast

Intersection of Two Tessellations

Swedish Pines Point Pattern

Test Whether An Object Is Empty

Create a Window

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

Predicted or Fitted Values from Spatial Logistic Regression

Marked Nearest Neighbour Distance Function

plot.hyperframe

Plot Entries in a Hyperframe

K-function using FFT

Harkness-Isham ants' nests data

Extract Quadrature Scheme Used to Fit a Point Process Model

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Perfect Simulation of the Strauss-Hardcore Process

Convert Data To Class owin

Sample Quantiles of Pixel Image

scaletointerval

Rescale Data to Lie Between Specified Limits

Convert Data To Class ppp

Cross Validated Bandwidth Selection for Kernel Density

Artificial Data Point Pattern

Diameter of a Window

edges2triangles

List Triangles in a Graph

Test Whether An Object Is A Point Pattern

Nearest neighbour

Summarise Marks in Every Neighbourhood in a Point Pattern

New Zealand Trees Point Pattern

plot.leverage.ppm

Plot Leverage Function

Plot a tessellation

Ponderosa Pine Tree Point Pattern

Pool Data from Several Envelopes

Class of Point Patterns

Divide Region into Quadrats

Simulate Neyman-Scott Process

Plot a linear network

Reduced Sample Estimator using Histogram Data

Spatial Logistic Regression

Update a Fitted Cluster Point Process Model

Estimate Variance of Summary Statistic by Subdivision

K-function of a Three-Dimensional Point Pattern

Subset of Quadrature Scheme

Apply Function to Every Neighbourhood in a Point Pattern

Beta Ganglion Cells in Cat Retina

Simulation Envelopes of Summary Function for 3D Point Pattern

Simulation Envelopes of Summary Function

Fitted Probabilities for Spatial Logistic Regression

Test whether Object is Multitype

Hyper Data Frame

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Identify Points in a Point Pattern

Window in Shape of Letter R

Methods for Multidimensional Space-Time Point Patterns

Bootstrap Confidence Bands for Summary Function

Point Patterns of New Brunswick Forest Fires

Marks of a Line Segment Pattern

Methods for Three-Dimensional Box

Quadrature Scheme Based on Pixel Grid

Plot a Spatial Kolmogorov-Smirnov Test

Perfect Simulation of the Diggle-Gratton Process

rPoissonCluster

Simulate Poisson Cluster Process

Data and Code From JRSS Discussion Paper on Residuals

Simulate from a Fitted Point Process Model

Generate Poisson Point Pattern in Any Dimensions

Class of Fitted Point Process Models

spatstat-deprecated

Deprecated spatstat functions

Summary of a List of Things

Summary of a Line Segment Pattern Dataset

Extract or Replace Subset of Point Pattern

Weighted kernel smoother

Extract Subset of Line Segment Pattern

Estimate the empty space function F

Model Compensator of Nearest Neighbour Function

Apply Affine Transformation To Line Segment Pattern

Pairwise distances between two different line segment patterns

Coefficients of Fitted Spatial Logistic Regression Model

Kernel Smoothing of Line Segment Pattern

Areas of Morphological Dilations

Endpoints of Line Segment Pattern

Neighbourhood density function

Basis for Harmonic Functions

Compute Quadrature Weights Based on Grid Counts

Longleaf Pines Point Pattern

Methods for Fitted Point Process Models on a Linear Network

Method of Minimum Contrast

Number of Points in a Point Pattern

Distance for a Point Pattern Matching

Nearest neighbour distances between line segments

Pairwise shortest-path distances between points on a linear network

Plot a Pixel Image

Plot a Function Array

rescue.rectangle

Convert Window Back To Rectangle

Simple Example of Linear Network

model.frame.ppm

Extract the Variables in a Point Process Model

Convert Polygonal Region into Different Format

Pair Correlation Function

Extract Unique Points from a Spatial Point Pattern

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Morphological Dilation

Create a Line Segment Pattern

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Sufficient Statistic of Point Process Model

Geometrical Calculations for Three-Dimensional Box

Simulate Simple Sequential Inhibition

Area of Part of Disc

Simulate Stratified Random Point Pattern

Vertices of a Window

Combine Function Value Tables

Beta Ganglion Cells in Cat Retina, Old Version

Multitype J Function (i-to-any)

Rectangular grid of points

Marks of a Point Pattern

Plot a Spatial Window

Randomly Shift a Line Segment Pattern