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spatstat (version 1.39-0)

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 about 2000 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

16,015

Version

1.39-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

October 23rd, 2014

Functions in spatstat (1.39-0)

Multitype J Function (i-to-j)

Empty Space Function of a Three-Dimensional Point Pattern

Extract or Replace Subset of Function Values

Combine Two Line Segment Patterns

Extract or Replace Subset of Point Pattern

Subset of Quadrature Scheme

Extract Subset of Signed or Vector Measure

Inhomogeneous Nearest Neighbour Function

The Connected Component Process Model

Morphological Dilation

Hybrid Geyer Point Process Model

Lambert's W Function

Test Whether Pixel Images Are Compatible

Calculate four standard summary functions of a point pattern.

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

Generic Ord Interaction model

Extract Subset of Linear Network

Coefficients of Fitted Point Process Model

Apply Geometrical Transformation To Tessellation

Nearest Neighbour Distance Function G

Envelope for Point Patterns on Linear Network

Apply Affine Transformation To Line Segment Pattern

Extract.leverage.ppm

Extract Subset of Leverage Object

Evaluate Expression Involving Pixel Images

Extract Subset of Window

clarkevans.test

Clark and Evans Test

edges2triangles

List Triangles in a Graph

The Strauss Point Process Model

Colour Lookup Tables

Geyer's Saturation Point Process Model

Concatenate x,y Coordinate Vectors

ANOVA for Fitted Multiple Point Process Models

Convert Function Value Table to Function

Classify Points in a Point Pattern

Extract.hyperframe

Extract or Replace Subset of Hyperframe

Bronze gradient filter data

Identify Segments in a Line Segment Pattern

Inhomogeneous Multitype L Dot Function

Evaluate Expression Involving Function Arrays

Multitype L-function (i-to-any)

Translation Edge Correction

K Function or Pair Correlation Function of a Point Process Model

Apply Affine Transformation To Point Pattern

Third order summary statistic

Estimate the Empty Space Function or its Hazard Rate

Tropical rain forest trees

Function Value Table

Difference of Disc Areas

Ord's Interaction model

Intersection of Two Tessellations

Coefficients of Fitted Spatial Logistic Regression Model

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

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Mixed Poisson Distribution

Hybrid Interaction Point Process Model

Convert Line Segment Pattern to Binary Pixel Mask

Apply Geometrical Transformations to a Linear Network

K-function of a Three-Dimensional Point Pattern

Histogram of Pixel Values in an Image

Analysis of Deviance for Spatial Logistic Regression Models

Distance to Boundary of Window

Areas of Morphological Dilations

Print Introduction For Beginners

Apply Affine Transformation

Convert Data to Numeric Values by Constructing Dummy Variables

Beadlet Anemones Data

Three-Dimensional Box

Apply Function to Every Neighbourhood in a Point Pattern

Extract.splitppp

Extract or Replace Sub-Patterns

Extract.layered

Extract Subset of a Layered Object

The Hard Core Point Process Model

Berman's Tests for Point Process Model

Inhomogeneous Cross K Function

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Hopkins-Skellam Test

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

Apply Geometrical Transformations to Point Pattern on a Linear Network

Extract or Replace Subset of a List of Spatial Objest

Kernel Smoothed Intensity of Point Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Class of Images

Fry Plot of Point Pattern

Close Pairs of Points

Create a Function Value Table

Dirichlet Tessellation of Point Pattern

Multitype L-function (cross-type)

Extract Subset of Image

Allard-Fraley Estimator of Cluster Feature

bounding.box.xy

Convex Hull of Points

Intersect Infinite Straight Lines with a Window

Smooth a Signed or Vector-Valued Measure

Distance to Boundary of Window

Weighted Empirical Cumulative Distribution Function

dirichlet.vertices

Vertices of Dirichlet Tessellation

The Area Interaction Point Process Model

Apply Smoothing to Function Values

Convert a Window to a Polygonal Window

Spatial Distribution Test for Point Pattern or Point Process Model

Apply a Function to a Point Pattern Broken Down by Factor

Difference of Disc Areas

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Create a Pixel Image Object

Harkness-Isham ants' nests data

Compute Quadrature Weights Based on Grid Counts

Cross Validated Bandwidth Selection for Spatial Smoothing

Basis for Harmonic Functions

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Interactively Define a Polygon

Pixel Image Approximation of a Window

Bandwidth Selection Based on Window Geometry

crossdist.default

Pairwise distances between two different sets of points

Convert Pixel Image from Numeric to Factor

Diggle-Gratton model

Marked J Function

Integral of a Measure

Pairwise distances between two different three-dimensional point patterns

Saturated Pairwise Interaction model

Spatial Function Class

Extract Dummy Points Used to Fit a Point Process Model

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Parameter influence measure

Inhomogeneous Cross Type L Function

Determine Duplicated Points in a Spatial Point Pattern

Rectangular grid of points

Pairwise distances between two different line segment patterns

Convert Data To Class owin

Abbreviations for Groups of Columns in Function Value Table

Multi-Dimensional Box

envelope.envelope

Recompute Envelopes

Castilla-La Mancha Forest Fires

diameter.linnet

Circumradius and Diameter of a Linear Network

Kaplan-Meier Estimator using Histogram Data

ANOVA for Fitted Point Process Models

Morphological Closing

Ripley's Isotropic Edge Correction

Apply Affine Transformation To Window

Corners of a rectangle

Extract Interaction Structure

Calculate Derivative of Function Values

Distance to Boundary of Window

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

Influence Measure for Spatial Point Process Model

Diameter of a Window

Farthest Distance to Boundary of Window

Aherne's hamster tumour data

Fill Plot With Texture

Area of a Window

inforder.family

Infinite Order Interaction Family

Fit the Neyman-Scott cluster process with Cauchy kernel

Progress Plot of Test of Spatial Pattern

Extract Window of Spatial Object

Collapse Several Function Tables into One

Convert Data To Class fv

The Lennard-Jones Potential

Convert Pixel Image to Matrix

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Integral of a Pixel Image

Convert Data to Three-Dimensional Box

interp.colourmap

Interpolate smoothly between specified colours

Convert Data To Layered Object

The Soft Core Point Process Model

Apply Gaussian Blur to a Pixel Image

Model Compensator of K Function

Morphological Erosion

Convert Data To Class ppp

Hyper Data Frame

Border Region of a Window

Convex Hull of Points

Distribution Function of Interpoint Distance

Residual K Function

Model Formulae for Gibbs Point Process Models

Interpolate a Pixel Image

Convert and Compare Colours in Different Formats

Hutchings' Bramble Canes data

Test Whether An Object Is A Window

Determine Type of Window

Extract or Change the Window of a Spatial Object

Distance Map of Line Segment Pattern

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Make Objects Compatible

Determine A Common Spatial Domain And Pixel Resolution

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Add margins to rectangle

K-function using FFT

Delaunay Triangulation of Point Pattern

Extract the Domain of any Spatial Object

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Interactively Define a Rectangle

Summarise Marks in Every Neighbourhood in a Point Pattern

Reduced Second Moment Measure

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Convert Data to Hyperframe

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

Empirical Intensity of Point Pattern on Linear Network

Spatial Covariance of a Pixel Image

Artificial Data Point Pattern

Create Point Pattern on Linear Network

Nearest Neighbour Index Map as a Function

Fitted Probabilities for Spatial Logistic Regression

Pairwise distances between two point patterns on a linear network

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

invoke.symbolmap

Plot Data Using Graphics Symbol Map

Geometrical Calculations for Three-Dimensional Box

Test Whether Function Objects Are Compatible

Berman-Huntington points and lines data

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Test Whether A Point Pattern is Marked

Increments of a Function

Extract Fitted Point Process Model

linearpcfdot.inhom

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

Methods for Multi-Dimensional Box

Interactively Add Points

Test Whether An Object Is A Fitted Point Process Model

Kernel Smoothing of Line Segment Pattern

Signed or Vector-Valued Measure

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

Nearest neighbour distances

Convert Point Pattern to Pixel Image

Cross Validated Bandwidth Selection for Kernel Density

Outdated Functions

The Fiksel Interaction

Intensity of Fitted Point Process Model

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Chicago Street Crime Data

linearKdot.inhom

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

Fit the Neyman-Scott cluster process with Cauchy kernel

Morisita Index Plot

Nearest Neighbour Clutter Removal

Distance Map on Linear Network

Bootstrap Confidence Bands for Summary Function

Convert to Pixel Image

Extract or Change the Plot Formula for a Function Value Table

Extract or Change the Containing Rectangle of a Spatial Object

as.data.frame.im

Convert Pixel Image to Data Frame

Methods for Intensity Functions of Spatial Covariate

Test Whether a Window is Convex

nearest.raster.point

Find Pixel Nearest to a Given Point

Coefficients of Point Process Model Fitted to Multiple Point Patterns

Kaplan-Meier and Reduced Sample Estimator using Histograms

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

Distance for a Point Pattern Matching

Convert Data To Tessellation

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

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Orientation Angles of Line Segments

Lurking variable plot

Methods for Spatial Functions

Centroid of a window

model.matrix.ppm

Extract Design Matrix from Point Process Model

delaunay.distance

Distance on Delaunay Triangulation

Extract Boundary Edges of a Window.

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Extract or Replace the Plot Arguments of a Layered Object

Apply Function Pixelwise to List of Images

Exchange X and Y Coordinates

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Linear K Function

Window in Shape of Letter R

Inhomogeneous K-function

Mark Correlation Integral

Spatial Distribution Test for Multiple Point Process Model

List Dihedral Triples in a Graph

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

linearKcross.inhom

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

Nearest neighbour distances between line segments

Compute Images of Constructed Covariates

Log Likelihood for Poisson Point Process Model

Areas of Morphological Erosions

Subdivide a Window or Tessellation using a Set of Lines

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Hexagonal Grid or Tessellation

Demonstration Example of Hyperframe of Spatial Data

Plot a List of Things

Make Pixel Images Compatible

Compute Disc of Given Radius in Linear Network

Combine Function Value Tables

Test whether Object is Multitype

List of Objects

Stoyan's Rule of Thumb for Bandwidth Selection

Generate a Row or Column Arrangement of Rectangles.

Nearest Neighbour Map on Linear Network

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Function Arrays for Spatial Patterns

Inhomogeneous Neighbourhood Density Function

Apply Expansion Rule

Dummy Function Returns Number of Points

Apply Function to Image Broken Down by Factor

Determine Whether One Window is Contained In Another

Saturated Pairwise Interaction Point Process Family

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Gorilla Nesting Sites

People in Gordon Square

Interactively join vertices on a plot

Test Whether Marks Are Present

plot a Fitted Point Process Model

Methods for Point Patterns on a Linear Network

Exponential Energy Marks

Identify Covariates Involved in each Model Term

Mark Connection Function

Extract Subset of Line Segment Pattern

plot.influence.ppm

Plot Influence Measure

Inhomogeneous Linear Pair Correlation Function

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Nearest neighbours in three dimensions

Elliptical Window.

pairwise.family

Pairwise Interaction Process Family

Japanese Pines Point Pattern

Nearest Neighbours on a Linear Network

Plot a Signed or Vector-Valued Measure

Create a Line Segment Pattern

Test Whether An Object Is A Pixel Image

Methods for Fitted Interactions

Scots pines and other trees at Hyytiala

Convolution of Pixel Images

Empirical Intensity of Point Pattern

Perspective Plot of Pixel Image

Perfect Simulation of the Diggle-Gates-Stibbard Process

Plot a List of Spatial Objects

Convert Data to a Point Pattern on a Linear Network

Point and Click Interface for Exploratory Analysis of Point Pattern

Fit Point Process Model to Point Pattern on Linear Network

Distance Map of Point Pattern

Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution

Create a Linear Network

Pairwise Distances in Any Dimensions

K-th Nearest Point Map

Print Brief Details of a Point Pattern Dataset

Beta Ganglion Cells in Cat Retina, Old Version

Area of Part of Disc

Fit Point Process Model to Several Point Patterns

Beta Ganglion Cells in Cat Retina

Methods for Units

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Pairwise distances between two different point patterns

Convert List of Two-Dimensional Spatial Objects

Multitype pair correlation function (i-to-any)

Longleaf Pines Point Pattern

Intersection, Union or Set Subtraction of Two Windows

Evaluate Expression Involving Functions

Pairwise distances

Nearest Neighbours in Any Dimensions

Plot a Simulation Envelope

complement.owin

Take Complement of a Window

Plot Pixel Image on Linear Network

Methods for Cluster Point Process Models

Methods for Functions on Linear Network

Nearest Neighbour Distances in Any Dimensions

scaletointerval

Rescale Data to Lie Between Specified Limits

plot a Fitted Multiple Point Process Model

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Nearest Neighbours Between Two Patterns in 3D

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

multiplicity.ppp

Count Multiplicity of Duplicate Points

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

Locally Scaled K-function

Diggle's Heather Data

Clark and Evans Aggregation Index

Set Control Parameters for Metropolis-Hastings Algorithm.

Create Pixel Image on Linear Network

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Perimeter Length of Window

Inhomogeneous Multitype K Dot Function

Create List of Plotting Layers

Local pair correlation function

Identify Nearest Neighbours on a Linear Network

Point Pair Orientation Distribution

Simulation Envelopes of Summary Function

Bounding Box of a Window, Image, or Point Pattern

Close Pairs of Points in 3 Dimensions

Recognise Fitted Determinantal Point Process Models

Mosaic Random Field

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Hybrid Interaction Family

Prediction from a Fitted Cluster Point Process Model

Estimate the I-function

Level Set of a Pixel Image

Default Expansion Rule for Simulation of Model

Predict Point Process Model on Linear Network

Perfect Simulation of the Hardcore Process

Find Largest Circle Inside Window

pairdist.default

Pairwise distances

Sector K-function

Test Whether A Point Process Model is Marked

Test Whether An Object Is A Point Pattern

Test Whether Objects Are Compatible

Methods for Multidimensional Space-Time Point Patterns

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

California Redwoods Point Pattern (Ripley's Subset)

Reduced Sample Estimator using Histogram Data

Nearest neighbour distances on a linear network

Mark Correlation Function

Plot a fitted cluster point process

Recognise Stationary and Poisson Point Process Models

Connected components of a point pattern

Method of Minimum Contrast

plot.hyperframe

Plot Entries in a Hyperframe

Fitted Conditional Intensity for Point Process Model

Simulation Envelopes of Summary Function for 3D Point Pattern

Make Function Tables Compatible

Plot Point Pattern on Linear Network

Simulate from a Fitted Point Process Model

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Pad the Border of a Pixel Image

Circumradius of a Window

Simulate Gauss-Poisson Process

Marked K-Function

Lengths of Line Segments

Create Colour Scheme for a Range of Numbers

Generate N Uniform Random Points in Three Dimensions

Panel Plots using Colour Image or Contour Lines

Extract Subset of Point Pattern on Linear Network

Loglikelihood of Spatial Logistic Regression

Linear Pair Correlation Function

Divide Multidimensional Point Pattern into Sub-patterns

Methods for Three-Dimensional Box

Lansing Woods Point Pattern

Extract the Interaction from a Fitted Point Process Model

Rotate a Pixel Image

Pair Correlation Function of Point Pattern

Intensity of a Dataset or a Model

Nearest Neighbours Between Two Patterns

Connected components

Plot a Fitted Spatial Logistic Regression

Prediction from a Fitted Point Process Model

Improve Intensity Estimate of Fitted Cluster Point Process Model

Marked pair correlation function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Kimboto trees at Paracou, French Guiana

Plot a three-dimensional point pattern

Log Likelihood and AIC for Point Process Model

Extract Subset of Function Array

matclust.estpcf

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

Simulate Matern Model I

Draw Points or Lines on a Surface Viewed in Perspective

Perfect Simulation of the Strauss Process

Subset of Point Pattern Satisfying A Condition

pppmatching.object

Class of Point Matchings

Define Point Process Model for Metropolis-Hastings Simulation.

Convert dataset to another unit of length

Function on a Linear Network

Inhomogeneous J-function

Mark of Nearest Neighbour

Randomly Shift a Point Pattern

Murchison gold deposits

Create a Window

Apply Numerical Rounding to Spatial Coordinates

Simple Point-and-Click Interface Panels

Q-Q Plot of Residuals from Fitted Point Process Model

Test Expansion Rule

Plot a List of Things

Plot a Pixel Image

Fit Point Process Model to Point Pattern Data

Print Progress Reports

Inhomogeneous Marked K-Function

Pyramidal Neurons in Cingulate Cortex

Generic Pairwise Interaction model

Pairwise distances

plot a Spatial Point Pattern

Diagnostics for random marking

Plot Function Values

Convert Point Pattern to Another Unit of Length

Spatial smoothing of observations at irregular points

Plot a List of Things

Simulate a Fitted Spatial Logistic Regression Model

Pool Data from Several Envelopes

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

Prediction for Fitted Multiple Point Process Model

linearpcfcross.inhom

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

Pool Data from Several Ratio Objects

Compute Minimum or Maximum Nearest-Neighbour Distance

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

Contour plot of pixel image

Pairwise distances in Three Dimensions

Generate Poisson Point Pattern on Line Segments

Volume of an Object

Check Whether Point Process Model is Valid

Smoothing Estimate of Covariate Transformation

Multidimensional Space-Time Point Pattern

Set Covariance of a Window

Quadrature Scheme Based on Pixel Grid

Plot Result of Scan Test

quadrat.test.mppm

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

Test Whether Object is a Hybrid

spatstat-deprecated

Deprecated spatstat functions

Simulate Thomas Process

Quadrat counting for a point pattern

Methods for three-dimensional point patterns

Class of Fitted Point Process Models

Generate N Uniform Random Points in a Disc

Simulate a Fitted Gibbs Point Process Model

Plot a Graphics Symbol Map

Simulated Point Pattern

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

plot a Spatial Line Segment Pattern

Simulate Matern Cluster Process

methods.objsurf

Methods for Objective Function Surfaces

Test Whether An Object Is Empty

Predicted or Fitted Values from Spatial Logistic Regression

ANOVA for Fitted Point Process Models on Linear Network

Apply Vector Translation To Line Segment Pattern

Create a Point Pattern

Interaction Distance of a Point Process

spatstat-internal

Internal spatstat functions

Detect Numerical Rounding

Force Point Process Model to be Valid

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Point and Click Interface for Displaying Spatial Data

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Urkiola Woods Point Pattern

Number of Line Segments in a Line Segment Pattern

Methods for Fitted Point Process Models on a Linear Network

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

superimpose.lpp

Superimpose Several Point Patterns on Linear Network

Plot a List of Point Patterns

Cartesian Coordinates for a Pixel Raster

Simulate point patterns using the Metropolis-Hastings algorithm.

Plot a Spatial Quadrature Scheme

Generate Poisson Point Pattern

Scott's Rule for Bandwidth Selection for Kernel Density

Summarizing a Pixel Image

quadrat.test.splitppp

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

Random Perturbation of a Point Pattern

Plot a Function Array

Neighbourhood density function

rPoissonCluster

Simulate Poisson Cluster Process

Generate N Random Points

Nearest neighbour

update.symbolmap

Update a Graphics Symbol Map.

Convert Window to Pixel Image

plot.texturemap

Plot a Texture Map

Evaluate an Expression in a Function Table

plot.quadrattest

Display the result of a quadrat counting test.

Fit the Matern Cluster Point Process by Minimum Contrast

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Fitted Conditional Intensity for Multiple Point Process Model

Point Patterns of New Brunswick Forest Fires

Graphics Symbol Map

Find Line Segment Nearest to Each Point

Print Brief Details of a Spatial Window

Nonparametric Estimate of Spatially-Varying Relative Risk

Generate Multitype Poisson Point Pattern

Print Names and Version Numbers of Libraries Loaded

Summary of a List of Spatial Objects

Class of Point Patterns

Generate grid of parallel lines with random displacement

Name for Unit of Length

Data Sharpening of Point Pattern

Rotational Average of a Pixel Image

Class of Line Segment Patterns

Create Colour-Valued Pixel Image

Spherical Contact Distribution Function

Rotate a Window

Rotate a Line Segment Pattern

Galaxies in the Shapley Supercluster

Superimpose Several Geometric Patterns

Plot a Colour Map

Generate Random Numbers of Points for Cell Process

Cells in Gastric Mucosa

Convert Line Segment Pattern to Pixel Image

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Plot a Fitted Point Process Model on a Linear Network

Pairwise shortest-path distances between points on a linear network

Inverse-distance weighted smoothing of observations at irregular points

Summarizing a Quadrature Scheme

Residuals for Point Process Model Fitted to Multiple Point Patterns

Divide Region into Quadrats

Simulate a Fitted Point Process Model on a Linear Network

Likelihood Ratio Test Statistic for Scan Test

Fit Point Process Model to Data

Scatterplot Matrix for Pixel Images

Record the Computation Time

Triplet Interaction Family

Spatial Scan Test

Summary of a Spatial Window

Rounding of Pixel Values

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Midpoints of Line Segment Pattern

rescue.rectangle

Convert Window Back To Rectangle

Inhomogeneous Pair Correlation Function

spatstat.options

Internal Options in Spatstat Package

Simulate Stratified Random Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Simulate systematic random point pattern

Generate a Quadrature Scheme from a Point Pattern

summary.anylist

Summary of a List of Things

Poisson Point Process on a Linear Network

Plot a tessellation

Spatial Cumulative Distribution Function

Random Re-Labelling of Point Pattern

Rotate a Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Added Variable Plot for Point Process Model

Stratified random point pattern

Spruces Point Pattern

Divide Point Pattern into Sub-patterns

The Piecewise Constant Pairwise Interaction Point Process Model

Simulate Simple Sequential Inhibition

Print Brief Details of an Image

Summary of a Point Pattern Dataset

Extract Unique Points from a Spatial Point Pattern

Quantiles of Weighted Empirical Cumulative Distribution Function

Ponderosa Pine Tree Point Pattern

Poisson Point Process Model

Generate N Uniform Random Points in Any Dimensions

Generate Poisson Random Line Process

Estimate Variance of Summary Statistic by Subdivision

Weighted Histogram

Sufficient Statistic of Point Process Model

Convert Line Segment Pattern to Another Unit of Length

Multitype K Function (i-to-any)

pool.quadrattest

Pool Several Quadrat Tests

Three Dimensional Point Pattern

Create a Tessellation

Spatial smoothing of data

Apply Scalar Dilation

Generate N Uniform Random Points

The Multitype Hard Core Point Process Model

Pair Correlation Function

Apply Vector Translation To Point Pattern

Generate Quasirandom Point Pattern in Given Window

Estimate window from points alone

Summary of a List of Things

Sporophores Data

Pseudoscore Diagnostic For Fitted Model against General Alternative

Simulate Neyman-Scott Process

quadratresample

Resample a Point Pattern by Resampling Quadrats

Spatial Logistic Regression

Convert Spatial Object to Pixel Image

Circular Window

Update a Fitted Cluster Point Process Model

Class of Quadrature Schemes

Extract Quadrature Scheme Used to Fit a Point Process Model

model.frame.ppm

Extract the Variables in a Point Process Model

Specify Simulation Window or Expansion Rule

Fit the Thomas Point Process by Minimum Contrast

Extract List of Tiles in a Tessellation

Diameter of an Object

plot.leverage.ppm

Plot Leverage Function

Simulate Log-Gaussian Cox Process

Generate Poisson Point Pattern in Any Dimensions

Find Nearest Point in a Region

summary.splitppp

Summary of a Split Point Pattern

Simulate a Fitted Cluster Point Process Model

spatstat-package

The Spatstat Package

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

Estimate the J-function

Place Points Evenly Along Specified Lines

Stienen Diagram

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Pine saplings in Finland.

Pair Correlation Function of a Three-Dimensional Point Pattern

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

Apply Affine Transformation To Pixel Image

New Zealand Trees Point Pattern

Compute Integral of Function Against Cumulative Distribution

Swedish Pines Point Pattern

Plot a plotppm Object Created by plot.ppm

Trees in Waka national park

Reflect In Origin

Vertices of a Window

Plot Image Using Texture Fill

split.hyperframe

Divide Hyperframe Into Subsets and Reassemble

Convert Window to Another Unit of Length

Extract or Replace Subset of Tessellation

Fit the Thomas Point Process by Minimum Contrast

Generate N Random Multitype Points

Pixel Values Along a Transect

Weighted kernel smoother

Smooth Interpolation of Marks as a Spatial Function

Compute Quadratic Forms

vargamma.estpcf

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

Theoretical Distribution of Nearest Neighbour Distance

The Multitype Strauss Point Process Model

Update a Fitted Point Process Model

Apply Vector Translation

Mosaic Random Set

Perfect Simulation of the Strauss-Hardcore Process

Names of Tiles in a Tessellation

Print Brief Details of a Line Segment Pattern Dataset

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Create a Point Matching

Multitype K Function (Cross-type)

Marked Nearest Neighbour Distance Function

reload.or.compute

Compute Unless Previously Saved

Cut margins from rectangle

Simulate Baddeley-Silverman Cell Process

Pool Data from Several Function Arrays

Simple Example of Linear Network

Extract Subset of Multidimensional Point Pattern

Morphological Opening

Summarizing a Fitted Point Process Model

Smoothed Relative Density of Pairs of Covariate Values

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

run.simplepanel

Run Point-and-Click Interface

Profile Maximum Pseudolikelihood

Extract Pixel Centres as Point Pattern

Leverage Measure for Spatial Point Process Model

Approximate a Polygon by a Simpler Polygon

Union of Data and Dummy Points

rshift.splitppp

Randomly Shift a List of Point Patterns

Extract List of Individual Point Process Models

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

The Triplet Point Process Model

Chorley-Ribble Cancer Data

Generate Poisson Point Pattern in Three Dimensions

Interpret Fitted Model for Metropolis-Hastings Simulation.

Range of Function Values

Extract or Replace Subset of a List of Things

Divide Image Into Sub-images

Randomly Shift a Line Segment Pattern

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Compute Areas of Tiles in a Tessellation

The Strauss / Hard Core Point Process Model

Extract Original Data from a Fitted Point Process Model

Inhomogeneous Empty Space Function

compatible.fasp

Test Whether Function Arrays Are Compatible

Convert Data To Class psp

Identify Points in a Point Pattern

Test Whether Points Are Inside A Window

Diagnostic Plots for Fitted Point Process Model

Distance Map of Window

Inhomogeneous Linear K Function

Convert to Pixel Image on Linear Network

Fit Point Process Model Involving Irregular Trend Parameters

Print News About Latest Version of Package

Foxall's Distance Functions

plot.quadratcount

Plot Quadrat Counts

Pair Correlation Function obtained from array of K functions

Plot a Spatial Distribution Test

Quasirandom Patterns

Perfect Simulation of the Diggle-Gratton Process

Compute Area of Overlap

Data and Code From JRSS Discussion Paper on Residuals

Number of Points in a Point Pattern

Read Point Pattern From Data File

Apply Vector Translation To Pixel Image

Uniform Random Points on a Linear Network

List of Two-Dimensional Spatial Objects

Plot a linear network

Print a Fitted Point Process Model

Extract.anylist

Extract or Replace Subset of a List of Things

Residual G Function

Biological Cells Point Pattern

Residual Diagnostics for Multiple Fitted Models

Cross Validated Bandwidth Selection for Relative Risk Estimation

Geometrical Calculations for Multi-Dimensional Box

Crossing Points of Two Line Segment Patterns

intensity.quadratcount

Intensity Estimates Using Quadrat Counts

Marks of a Line Segment Pattern

Marks of a Point Pattern

Methods for Spatial Logistic Regression Models

Extract.influence.ppm

Extract Subset of Influence Object

Reset Values in Subset of Image

methods.layered

Methods for Layered Objects

Plot a Spatial Window

Pair Correlation Function obtained from K Function

Nearest neighbour distances in three dimensions

K Function or Pair Correlation Function of Gibbs Point Process model

Make Periodic Copies of a Spatial Pattern

Sample Quantiles of Pixel Image

project2segment

Move Point To Nearest Line

Print a Quadrature Scheme

Simulate Matern Model II

California Redwoods Point Pattern (Entire Dataset)

Apply Vector Translation To Window

Random Thinning

Ord Interaction Process Family

Endpoints of Line Segment Pattern

Summary of a Line Segment Pattern Dataset

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

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

Spokes pattern of dummy points

Pairwise distances between line segments

Distance Map as a Function

Hughes' Amacrine Cell Data

Model Compensator of Nearest Neighbour Function

Multitype J Function (i-to-any)

Safely Convert Point Pattern Window to Binary Mask

Generate a Default Pattern of Dummy Points

Convert Pixel Image to Matrix or Array

Evaluate Expression Involving Pixel Images on Linear Network

Influenza Virus Proteins

Foo is Not a Variable

Infinite Straight Lines

Pairwise distances

Humberside Data on Childhood Leukaemia and Lymphoma

Fit Cluster or Cox Point Process Model

Methods for Linear Networks

Objective Function Surface

plot.bermantest

Plot Result of Berman Test

Partial Residuals for Point Process Model

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Poisson Line Tessellation

Residuals for Fitted Point Process Model

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

Convert Pixel Image to Another Unit of Length

Multitype pair correlation function (cross-type)

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

tweak.colourmap

Change Colour Values in a Colour Map

Distance Between Two Point Patterns