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spatstat (version 1.37-0)

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, space-time point patterns in any number of dimensions, and point patterns on a linear network. Contains over 1500 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, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, 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, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm, kppm, slrm similar to glm. Types of models include Poisson, Gibbs, Cox and cluster point processes. Models may involve dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise, AIC). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.

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Install

install.packages('spatstat')

Monthly Downloads

18,534

Version

1.37-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

May 9th, 2014

Functions in spatstat (1.37-0)

Multitype K Function (Cross-type)

Multitype L-function (i-to-any)

Generic Ord Interaction model

The Strauss / Hard Core Point Process Model

Saturated Pairwise Interaction model

K Function or Pair Correlation Function of a Point Process Model

Apply Smoothing to Function Values

Extract Subset of Function Array

The Hard Core Point Process Model

Multi-Dimensional Box

Inhomogeneous Multitype L Dot Function

Hutchings' Bramble Canes data

Apply Geometrical Transformation To Tessellation

Marked J Function

The Triplet Point Process Model

Apply Function to Every Neighbourhood in a Point Pattern

Orientation Angles of Line Segments

Convert Pixel Image to Matrix or Array

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

ANOVA for Fitted Point Process Models

Extract.influence.ppm

Extract Subset of Influence Object

Set Control Parameters for Metropolis-Hastings Algorithm.

Extract Interaction Structure

Determine A Common Spatial Domain And Pixel Resolution

The Area Interaction Point Process Model

Apply Geometrical Transformations to Point Pattern on a Linear Network

Spatial smoothing of observations at irregular points

envelope.envelope

Recompute Envelopes

as.data.frame.im

Convert Pixel Image to Data Frame

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

The Piecewise Constant Pairwise Interaction Point Process Model

Convert Data to Three-Dimensional Box

Convert Data to Numeric Values by Constructing Dummy Variables

Extract Subset of Window

Apply a Function to a Point Pattern Broken Down by Factor

Fit the Neyman-Scott cluster process with Cauchy kernel

Extract Subset of Linear Network

Function Arrays for Spatial Patterns

Hybrid Geyer Point Process Model

Apply Function to Image Broken Down by Factor

Close Pairs of Points

Progress Plot of Test of Spatial Pattern

Convert Data To Class fv

Generate a Default Pattern of Dummy Points

Distance to Boundary of Window

Colour Lookup Tables

Smooth a Signed or Vector-Valued Measure

Cross Validated Bandwidth Selection for Kernel Density

Convolution of Pixel Images

Convert Data to a Point Pattern on a Linear Network

Apply Function Pixelwise to List of Images

Difference of Disc Areas

Spherical Contact Distribution Function

Inhomogeneous Empty Space Function

compatible.fasp

Test Whether Function Arrays Are Compatible

Inhomogeneous J-function

Elliptical Window.

Ord's Interaction model

Fit the Neyman-Scott cluster process with Cauchy kernel

Multitype J Function (i-to-any)

Extract Boundary Edges of a Window.

Foxall's Distance Functions

Combine Two Line Segment Patterns

Evaluate Expression Involving Function Arrays

Area of a Window

Intensity of a Dataset or a Model

Kernel Smoothing of Line Segment Pattern

Convert to Pixel Image on Linear Network

Marks of a Line Segment Pattern

Generic Pairwise Interaction model

Distance Map on Linear Network

Scott's Rule for Bandwidth Selection for Kernel Density

Extract Fitted Point Process Model

Extract.leverage.ppm

Extract Subset of Leverage Object

Infinite Straight Lines

Extract or Replace Subset of a List of Things

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Inhomogeneous Nearest Neighbour Function

Interactively Define a Polygon

Extract Dummy Points Used to Fit a Point Process Model

Demonstration Example of Hyperframe of Spatial Data

Pine saplings in Finland.

Coefficients of Fitted Spatial Logistic Regression Model

Crossing Points of Two Line Segment Patterns

Extract or Replace the Plot Arguments of a Layered Object

Ripley's Isotropic Edge Correction

Pairwise distances between two different line segment patterns

Extract Original Data from a Fitted Point Process Model

Apply Geometrical Transformations to a Linear Network

Extract or Replace Subset of Tessellation

Test Whether An Object Is A Fitted Point Process Model

Third order summary statistic

Residual G Function

Inhomogeneous K-function

Circular Window

Reduced Second Moment Measure

Nearest Neighbours Between Two Patterns

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Test Whether An Object Is A Window

Interactively Add Points

Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution

Methods for Spatial Logistic Regression Models

Model Compensator of Nearest Neighbour Function

intensity.quadratcount

Intensity Estimates Using Quadrat Counts

Identify Segments in a Line Segment Pattern

Tropical rain forest trees

clarkevans.test

Clark and Evans Test

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Make Pixel Images Compatible

Inhomogeneous Neighbourhood Density Function

K-function of a Three-Dimensional Point Pattern

Estimate the I-function

Nearest Neighbours on a Linear Network

Multitype L-function (cross-type)

Plot a plotppm Object Created by plot.ppm

invoke.symbolmap

Plot Data Using Graphics Symbol Map

Convert Line Segment Pattern to Binary Pixel Mask

Residual K Function

Fill Plot With Texture

Distance to Boundary of Window

Apply Gaussian Blur to a Pixel Image

Exponential Energy Marks

ANOVA for Fitted Multiple Point Process Models

Difference of Disc Areas

Biological Cells Point Pattern

Beadlet Anemones Data

Create Pixel Image on Linear Network

Lambert's W Function

Inhomogeneous Multitype K Dot Function

Compute Disc of Given Radius in Linear Network

Castilla-La Mancha Forest Fires

The Strauss Point Process Model

Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

Morphological Dilation

Fitted Conditional Intensity for Multiple Point Process Model

edges2triangles

List Triangles in a Graph

Apply Affine Transformation To Pixel Image

Extract the Interaction from a Fitted Point Process Model

Multitype K Function (i-to-any)

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Test Whether A Point Pattern is Marked

linearpcfcross.inhom

Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

inforder.family

Infinite Order Interaction Family

Convert Data To Class owin

Methods for Fitted Point Process Models on a Linear Network

Multitype J Function (i-to-j)

Interactively join vertices on a plot

Mark Connection Function

Inhomogeneous Linear K Function

Spatial smoothing of data

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

Lansing Woods Point Pattern

Subset of Quadrature Scheme

Morphological Erosion

Subdivide a Window or Tessellation using a Set of Lines

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Nearest neighbour

Hybrid Interaction Point Process Model

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Pairwise Distances in Any Dimensions

Coefficients of Fitted Point Process Model

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Extract Subset of Point Pattern on Linear Network

Rectangular grid of points

Log Likelihood and AIC for Point Process Model

Berman-Huntington points and lines data

Envelope for Point Patterns on Linear Network

Extract Subset of Image

Print Introduction For Beginners

Inhomogeneous Cross K Function

Pairwise distances between line segments

ANOVA for Fitted Point Process Models on Linear Network

Mark Correlation Integral

Point and Click Interface for Displaying Spatial Data

Chicago Street Crime Data

Plot Function Values

Marked K-Function

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

Area of Part of Disc

Prediction for Fitted Multiple Point Process Model

Plot Pixel Image on Linear Network

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Diggle's Heather Data

Spatial Covariance of a Pixel Image

Bronze gradient filter data

Convert Data To Class psp

Lurking variable plot

Generate Poisson Point Pattern in Three Dimensions

Inhomogeneous Linear Pair Correlation Function

Distance Map of Point Pattern

Beta Ganglion Cells in Cat Retina, Old Version

Extract.hyperframe

Extract or Replace Subset of Hyperframe

Test Whether Objects Are Compatible

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

Convex Hull of Points

Extract.splitppp

Extract or Replace Sub-Patterns

Convert Function Value Table to Function

Geometrical Calculations for Multi-Dimensional Box

Extract Quadrature Scheme Used to Fit a Point Process Model

Intensity of Fitted Point Process Model

Quasirandom Patterns

Test Whether A Point Process Model is Marked

Integral of a Measure

Endpoints of Line Segment Pattern

model.matrix.ppm

Extract Design Matrix from Point Process Model

Clark and Evans Aggregation Index

Coefficients of Point Process Model Fitted to Multiple Point Patterns

Pairwise distances between two point patterns on a linear network

Window in Shape of Letter R

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

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

Japanese Pines Point Pattern

Compute Images of Constructed Covariates

Estimate the J-function

Extract or Change the Plot Formula for a Function Value Table

K Function or Pair Correlation Function of Gibbs Point Process model

plot a Spatial Point Pattern

Interactively Define a Rectangle

Distance to Boundary of Window

Locally Scaled K-function

Plot a linear network

complement.owin

Take Complement of a Window

Convert to Pixel Image

Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests

Bootstrap Confidence Bands for Summary Function

Concatenate x,y Coordinate Vectors

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Nearest Neighbour Index Map as a Function

Determine Type of Window

Class of Line Segment Patterns

Centroid of a window

Theoretical Distribution of Nearest Neighbour Distance

Convert a Window to a Polygonal Window

Delaunay Triangulation of Point Pattern

Weighted Empirical Cumulative Distribution Function

plot a Fitted Multiple Point Process Model

People in Gordon Square

Interpolate a Pixel Image

Test Whether An Object Is A Point Pattern on a Linear Network

Divide Image Into Sub-images

Residuals for Fitted Point Process Model

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Perfect Simulation of the Strauss Process

Create Point Pattern on Linear Network

Corners of a rectangle

Profile Maximum Pseudolikelihood

Pairwise distances between two different point patterns

Convert Data To Class ppp

Smooth Interpolation of Marks as a Spatial Function

The Connected Component Process Model

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Determine Duplicated Points in a Spatial Point Pattern

Recognise Stationary and Poisson Point Process Models

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Nearest Neighbours Between Two Patterns in 3D

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Nearest Neighbours in Any Dimensions

Gorilla Nesting Sites

The Lennard-Jones Potential

multiplicity.ppp

Count Multiplicity of Duplicate Points

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Morishita Index Plot

Intersection of Two Tessellations

Residuals for Point Process Model Fitted to Multiple Point Patterns

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Quadrat counting for a point pattern

Pixel Values Along a Transect

Pseudoscore Diagnostic For Fitted Model against General Alternative

Empty Space Function of a Three-Dimensional Point Pattern

Bounding Box of a Window, Image, or Point Pattern

Apply Scalar Dilation

Chorley-Ribble Cancer Data

Quadrature Scheme Based on Pixel Grid

Smoothing Estimate of Covariate Transformation

Estimate the empty space function F

interp.colourmap

Interpolate smoothly between specified colours

Find Line Segment Nearest to Each Point

Residual Diagnostics for Multiple Fitted Models

Methods for three-dimensional point patterns

Leverage Measure for Spatial Point Process Model

Plot a List of Things

Find Largest Circle Inside Window

Translation Edge Correction

Spruces Point Pattern

Interaction Distance of a Point Process

Test Whether a Window is Convex

Artificial Data Point Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Objective Function Surface

Linear K Function

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Extract Subset of Function Values

Evaluate Expression Involving Functions

Model Formulae for Gibbs Point Process Models

Distance Map as a Function

Safely Convert Point Pattern Window to Binary Mask

Connected components

Parameter influence measure

Distance Map of Line Segment Pattern

Methods for Three-Dimensional Box

Diameter of an Object

Fitted Probabilities for Spatial Logistic Regression

Make Periodic Copies of a Spatial Pattern

New Zealand Trees Point Pattern

Methods for Linear Networks

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Likelihood Cross Validation Bandwidth Selection for Kernel Density

methods.layered

Methods for Layered Objects

Saturated Pairwise Interaction Point Process Family

Method of Minimum Contrast

rPoissonCluster

Simulate Poisson Cluster Process

Kernel Smoothed Intensity of Point Pattern

Abbreviations for Groups of Columns in Function Value Table

Create a Line Segment Pattern

Compute Quadrature Weights Based on Grid Counts

Sample Quantiles of Pixel Image

Simulate a Fitted Cluster Point Process Model

plot.bermantest

Plot Result of Berman Test

Hughes' Amacrine Cell Data

Compute Minimum or Maximum Nearest-Neighbour Distance

Diggle-Gratton model

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Identify Points in a Point Pattern

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

Data and Code From JRSS Discussion Paper on Residuals

Simulate from a Fitted Point Process Model

Weighted kernel smoother

plot a Fitted Point Process Model

Prediction from a Fitted Cluster Point Process Model

Extract Subset of Signed or Vector Measure

Number of Line Segments in a Line Segment Pattern

Random Thinning

Exchange X and Y Coordinates

Morphological Closing

Mixed Poisson Distribution

Point Patterns of New Brunswick Forest Fires

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Apply Affine Transformation

run.simplepanel

Run Point-and-Click Interface

Create Colour-Valued Pixel Image

Simulate Log-Gaussian Cox Process

Methods for Intensity Functions of Spatial Covariate

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

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Create a Point Pattern

Extract Pixel Centres as Point Pattern

Longleaf Pines Point Pattern

Extract Subset of Multidimensional Point Pattern

Nearest Neighbour Distance Function G

Three Dimensional Point Pattern

Methods for Multi-Dimensional Box

Urkiola Woods Point Pattern

Plot a Fitted Spatial Logistic Regression

Create a Pixel Image Object

Stoyan's Rule of Thumb for Bandwidth Selection

Hyper Data Frame

Print Progress Reports

Record the Computation Time

Number of Points in a Point Pattern

Default Expansion Rule for Simulation of Model

linearpcfdot.inhom

Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Pairwise distances

Simple Example of Linear Network

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Stratified random point pattern

Hybrid Interaction Family

delaunay.distance

Distance on Delaunay Triangulation

Estimate window from points alone

Convert Point Pattern to Another Unit of Length

The Multitype Hard Core Point Process Model

Methods for Spatial Functions

Test Whether An Object Is A Point Pattern

Inhomogeneous Marked K-Function

Point and Click Interface for Exploratory Analysis of Point Pattern

Berman's Tests for Point Process Model

Nearest neighbours in three dimensions

Diagnostics for random marking

K-th Nearest Point Map

Generate Poisson Point Pattern

Plot a tessellation

Morphological Opening

Integral of a Pixel Image

Multitype K Function (Cross-type) for Linear Point Pattern

Simulate Matern Model I

Extract.layered

Extract Subset of a Layered Object

Determine Initial State for Metropolis-Hastings Simulation.

Plot a List of Things

Dummy Function Returns Number of Points

Cross Validated Bandwidth Selection for Relative Risk Estimation

Test Whether An Object Is Empty

Perfect Simulation of the Hardcore Process

Cartesian Coordinates for a Pixel Raster

Loglikelihood of Spatial Logistic Regression

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Apply Expansion Rule

Mark Correlation Function

Inverse-distance weighted smoothing of observations at irregular points

Swedish Pines Point Pattern

Generate Quasirandom Point Pattern in Given Window

rescue.rectangle

Convert Window Back To Rectangle

Identify Covariates Involved in each Model Term

Linear Pair Correlation Function

Test Whether Pixel Images Are Compatible

summary.splitppp

Summary of a Split Point Pattern

Waterstriders data. Three independent replications of a point pattern formed by insects.

Plot a Function Array

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Local pair correlation function

Function Value Table

Print Brief Details of a Point Pattern Dataset

Create List of Plotting Layers

Pairwise distances

Pair Correlation Function

Plot Result of Scan Test

Plot a Spatial Kolmogorov-Smirnov Test

Nearest neighbour distances between line segments

Murchison gold deposits

Ponderosa Pine Tree Point Pattern

Print a Quadrature Scheme

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Nearest neighbour distances

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

pairdist.default

Pairwise distances

Kolmogorov-Smirnov Test for Multiple Point Process Model

Plot a three-dimensional point pattern

Three-Dimensional Box

quadrat.test.mppm

Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts

plot a Spatial Line Segment Pattern

Apply Vector Translation To Pixel Image

Mosaic Random Set

Pair Correlation Function obtained from K Function

Hexagonal Grid or Tessellation

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Test Whether Object is a Hybrid

quadrat.test.splitppp

Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts

Summarizing a Fitted Point Process Model

Convert Window to Another Unit of Length

Fit the Matern Cluster Point Process by Minimum Contrast

Dirichlet Tessellation of Point Pattern

Distance Between Two Point Patterns

Test Whether Function Objects Are Compatible

Generate Poisson Point Pattern in Any Dimensions

spatstat.options

Internal Options in Spatstat Package

Pyramidal Neurons in Cingulate Cortex

Print Brief Details of a Line Segment Pattern Dataset

Plot Image Using Texture Fill

Data Sharpening of Point Pattern

Randomly Shift a Line Segment Pattern

Fit Point Process Model Involving Irregular Trend Parameters

Compute Integral of Function Against Cumulative Distribution

Pair Correlation Function obtained from array of K functions

Mosaic Random Field

Summarizing a Pixel Image

Apply Affine Transformation To Window

Generate a Row or Column Arrangement of Rectangles.

Simulate a Fitted Gibbs Point Process Model

methods.objsurf

Methods for Objective Function Surfaces

Perfect Simulation of the Diggle-Gates-Stibbard Process

Estimate Variance of Summary Statistic by Subdivision

Force Point Process Model to be Valid

Rotate a Window

Predict Point Process Model on Linear Network

Signed or Vector-Valued Measure

Simulate Simple Sequential Inhibition

Nearest neighbour distances on a linear network

Spokes pattern of dummy points

Beta Ganglion Cells in Cat Retina

Pairwise distances

Pairwise distances in Three Dimensions

Ord Interaction Process Family

Fitted Conditional Intensity for Point Process Model

Simulate Matern Cluster Process

Summary of a Spatial Window

Convert Pixel Image to Another Unit of Length

Intersection, Union or Set Subtraction of Two Windows

Check Whether Point Process Model is Valid

Simulate point patterns using the Metropolis-Hastings algorithm.

Fit Cluster or Cox Point Process Model

Rotate a Line Segment Pattern

Test Whether Points Are Inside A Window

Plot a Pixel Image

Log Likelihood for Poisson Point Process Model

Areas of Morphological Dilations

Distance for a Point Pattern Matching

Reflect In Origin

plot.hyperframe

Plot Entries in a Hyperframe

Random Perturbation of a Point Pattern

Set Covariance of a Window

Class of Quadrature Schemes

Summarizing a Quadrature Scheme

Print Brief Details of an Image

Pairwise shortest-path distances between points on a linear network

Calculate four standard summary functions of a point pattern.

Simulate a Fitted Spatial Logistic Regression Model

Marked pair correlation function

Spatial Scan Test

Extract Unique Points from a Spatial Point Pattern

Extract List of Tiles in a Tessellation

Convert Window to Pixel Image

Perspective Plot of Pixel Image

Update a Fitted Cluster Point Process Model

Nonparametric Estimate of Spatially-Varying Relative Risk

Define Point Process Model for Metropolis-Hastings Simulation.

quadratresample

Resample a Point Pattern by Resampling Quadrats

Names of Tiles in a Tessellation

Analysis of Deviance for Spatial Logistic Regression Models

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Rotate a Point Pattern

Simulation Envelopes of Summary Function for 3D Point Pattern

Convert Line Segment Pattern to Pixel Image

Generate Multitype Poisson Point Pattern

Diagnostic Plots for Fitted Point Process Model

Cut margins from rectangle

split.hyperframe

Divide Hyperframe Into Subsets and Reassemble

Apply Vector Translation To Point Pattern

Level Set of a Pixel Image

Print News About Latest Version of Package

Extract List of Individual Point Process Models

Generate N Uniform Random Points in a Disc

Plot Point Pattern on Linear Network

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

spatstat-package

The Spatstat Package

Compute Area of Overlap

Generate grid of parallel lines with random displacement

Perimeter Length of Window

Summary of a List of Things

Variance-Covariance Matrix for a Fitted Point Process Model

Union of Data and Dummy Points

Influenza Virus Proteins

Trees in Waka national park

Generate N Uniform Random Points in Any Dimensions

Reduced Sample Estimator using Histogram Data

Empirical Intensity of Point Pattern on Linear Network

Plot a Graphics Symbol Map

Create a Function Value Table

Nearest Neighbour Map on Linear Network

Summarise Marks in Every Neighbourhood in a Point Pattern

Create a Tessellation

vargamma.estpcf

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

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

Print a Fitted Point Process Model

Test Whether An Object Is A Pixel Image

Fit Point Process Model to Data

California Redwoods Point Pattern (Ripley's Subset)

scaletointerval

Rescale Data to Lie Between Specified Limits

update.symbolmap

Update a Graphics Symbol Map.

Update a Fitted Point Process Model

Simulate Neyman-Scott Process

Q-Q Plot of Residuals from Fitted Point Process Model

Extract Subset of Line Segment Pattern

Test whether Object is Multitype

Reset Values in Subset of Image

Create a Linear Network

Detect Numerical Rounding

Generate N Random Points

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Convert Spatial Object to Pixel Image

Apply Affine Transformation To Line Segment Pattern

Perfect Simulation of the Diggle-Gratton Process

Convert dataset to another unit of length

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

plot.influence.ppm

Plot Influence Measure

Distribution Function of Interpoint Distance

Plot a fitted cluster point process

Generate N Uniform Random Points in Three Dimensions

Humberside Data on Childhood Leukaemia and Lymphoma

spatstat-deprecated

Deprecated spatstat functions

Volume of an Object

Uniform Random Points on a Linear Network

Compute Areas of Tiles in a Tessellation

tweak.colourmap

Change Colour Values in a Colour Map

Quantiles of Weighted Empirical Cumulative Distribution Function

Generate N Random Multitype Points

Kaplan-Meier Estimator using Histogram Data

Methods for Functions on Linear Network

Generate Poisson Point Pattern on Line Segments

Summary of a Line Segment Pattern Dataset

Summary of a Point Pattern Dataset

Specify Simulation Window or Expansion Rule

Fit the Thomas Point Process by Minimum Contrast

Print Names and Version Numbers of Libraries Loaded

Plot a Simulation Envelope

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Vertices of a Window

Neighbourhood density function

Generate Poisson Random Line Process

Place Points Evenly Along Specified Lines

Prediction from a Fitted Point Process Model

Simulate systematic random point pattern

Triplet Interaction Family

rshift.splitppp

Randomly Shift a List of Point Patterns

Simulated data from a two-group experiment with replication within each group.

Multitype pair correlation function (cross-type)

Fit Point Process Model to Point Pattern on Linear Network

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Random Re-Labelling of Point Pattern

Mark of Nearest Neighbour

Evaluate Expression Involving Pixel Images

bounding.box.xy

Convex Hull of Points

plot.quadrattest

Display the result of a quadrat counting test.

Midpoints of Line Segment Pattern

Methods for Fitted Interactions

Multitype pair correlation function (i-to-any)

Marked Nearest Neighbour Distance Function

The Multitype Strauss Point Process Model

Test Expansion Rule

Convert Data to Hyperframe

Combine Function Value Tables

Geometrical Calculations for Three-Dimensional Box

Bandwidth Selection Based on Window Geometry

Convert Pixel Image from Numeric to Factor

Connected components of a point pattern

Scots pines and other trees at Hyytiala

Lengths of Line Segments

Empirical Intensity of Point Pattern

Inhomogeneous Pair Correlation Function

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Multitype K Function (Dot-type) for Linear Point Pattern

Create a Window

Class of Images

matclust.estpcf

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

Partial Residuals for Point Process Model

Pair Correlation Function of Point Pattern

Nearest Neighbour Distances in Any Dimensions

plot.leverage.ppm

Plot Leverage Function

Plot a Colour Map

Methods for Multidimensional Space-Time Point Patterns

reload.or.compute

Compute Unless Previously Saved

Approximate a Polygon by a Simpler Polygon

Cells in Gastric Mucosa

project2segment

Move Point To Nearest Line

spatstat-internal

Internal spatstat functions

pairwise.family

Pairwise Interaction Process Family

Compute Quadratic Forms

Test Whether Marks Are Present

Diameter of a Window

The Fiksel Interaction

K Function or Pair Correlation Function of Cluster Model or Cox model

Rounding of Pixel Values

Circumradius and Diameter of a Linear Network

Convert Data To Tessellation

Calculate Derivative of Function Values

Model Compensator of K Function

Collapse Several Function Tables into One

Histogram of Pixel Values in an Image

Basis for Harmonic Functions

Methods for Units

Simulation Envelopes of Summary Function

nearest.raster.point

Find Pixel Nearest to a Given Point

Methods for Cluster Point Process Models

pppmatching.object

Class of Point Matchings

Divide Region into Quadrats

Pool Data from Several Function Arrays

Randomly Shift a Point Pattern

Poisson Point Process on a Linear Network

Define Point Process Model for Metropolis-Hastings Simulation.

Convert Line Segment Pattern to Another Unit of Length

Apply Affine Transformation To Point Pattern

Apply Vector Translation

Apply Vector Translation To Line Segment Pattern

linearKcross.inhom

Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern

Weighted Histogram

Graphics Symbol Map

Predicted or Fitted Values from Spatial Logistic Regression

Generate Random Numbers of Points for Cell Process

Kimboto trees at Paracou, French Guiana

Plot a Fitted Point Process Model on a Linear Network

Nearest neighbour distances in three dimensions

Fit Point Process Model to Several Point Patterns

Pairwise distances between two different three-dimensional point patterns

pool.quadrattest

Pool Several Quadrat Tests

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Plot a Spatial Quadrature Scheme

Create a Point Matching

Simulate Matern Model II

Pool Data from Several Ratio Objects

Apply Numerical Rounding to Spatial Coordinates

Generate a Quadrature Scheme from a Point Pattern

Simulate Baddeley-Silverman Cell Process

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Apply Vector Translation To Window

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Methods for Point Patterns on a Linear Network

Name for Unit of Length

Superimpose Several Geometric Patterns

Marks of a Point Pattern

Geyer's Saturation Point Process Model

Rotate a Pixel Image

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Added Variable Plot for Point Process Model

Cross Validated Bandwidth Selection for Spatial Smoothing

Intersect Infinite Straight Lines with a Window

Create Colour Scheme for a Range of Numbers

Evaluate Expression Involving Pixel Images on Linear Network

crossdist.default

Pairwise distances between two different sets of points

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

Aherne's hamster tumour data

The Soft Core Point Process Model

model.frame.ppm

Extract the Variables in a Point Process Model

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Plot a Spatial Window

Pair Correlation Function of a Three-Dimensional Point Pattern

Plot a Signed or Vector-Valued Measure

Plot a List of Point Patterns

plot.texturemap

Plot a Texture Map

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Class of Fitted Point Process Models

Scatterplot Matrix for Pixel Images

Poisson Line Tessellation

Simple Point-and-Click Interface Panels

Simulated Point Pattern

Spatial Logistic Regression

Determine Whether One Window is Contained In Another

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

Fit the Thomas Point Process by Minimum Contrast

Extract or Replace Subset of Point Pattern

Likelihood Ratio Test Statistic for Scan Test

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Inhomogeneous Cross Type L Function

K-function using FFT

Convert Pixel Image to Matrix

Border Region of a Window

Convert and Compare Colours in Different Formats

Harkness-Isham ants' nests data

Classify Points in a Point Pattern

Distance Map of Window

Poisson Point Process Model

Contour plot of pixel image

Pixel Image Approximation of a Window

Evaluate an Expression in a Function Table

Influence Measure for Spatial Point Process Model

Areas of Morphological Erosions

Allard-Fraley Estimator of Cluster Feature

Function on a Linear Network

Pool Data from Several Envelopes

linearKdot.inhom

Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern

Fry Plot of Point Pattern

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Convert Point Pattern to Pixel Image

Fit Point Process Model to Point Pattern Data

plot.quadratcount

Plot Quadrat Counts

Nearest Neighbour Clutter Removal

Class of Point Patterns

Identify Nearest Neighbours on a Linear Network

Simulate Gauss-Poisson Process

Perfect Simulation of the Strauss-Hardcore Process

Generate N Uniform Random Points

Interpret Fitted Model for Metropolis-Hastings Simulation.

Galaxies in the Shapley Supercluster

California Redwoods Point Pattern (Entire Dataset)

Divide Multidimensional Point Pattern into Sub-patterns

Smoothed Relative Density of Pairs of Covariate Values

List Dihedral Triples in a Graph

Spatial Function Class

Sufficient Statistic of Point Process Model

Read Point Pattern From Data File

Simulate Thomas Process

Print Brief Details of a Spatial Window

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Simulate Stratified Random Point Pattern

Divide Point Pattern into Sub-patterns

Multidimensional Space-Time Point Pattern