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spatstat (version 1.38-0)

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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Version

Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.38-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

August 15th, 2014

Functions in spatstat (1.38-0)

Class of Images

Empirical Intensity of Point Pattern on Linear Network

Test Whether Points Are Inside A Window

Test Whether An Object Is Empty

Lengths of Line Segments

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

Simulate Matern Model I

Approximate a Polygon by a Simpler Polygon

Linear Pair Correlation Function

spatstat.options

Internal Options in Spatstat Package

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

Spatial Covariance of a Pixel Image

Summary of a List of Things

Improve Intensity Estimate of Fitted Cluster Point Process Model

Divide Point Pattern into Sub-patterns

Cartesian Coordinates for a Pixel Raster

Generate Poisson Point Pattern in Three Dimensions

Simulate Matern Model II

Apply Scalar Dilation

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Rotate a Pixel Image

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

Simulate Neyman-Scott Process

Added Variable Plot for Point Process Model

Convert to Pixel Image

Simulate Simple Sequential Inhibition

Reflect In Origin

Empirical Intensity of Point Pattern

Random Perturbation of a Point Pattern

Urkiola Woods Point Pattern

The Triplet Point Process Model

Multitype K Function (i-to-any)

Intersection, Union or Set Subtraction of Two Windows

Integral of a Measure

Extract Unique Points from a Spatial Point Pattern

Read Point Pattern From Data File

Window in Shape of Letter R

Simulate Baddeley-Silverman Cell Process

Random Re-Labelling of Point Pattern

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Infinite Straight Lines

Sufficient Statistic of Point Process Model

Print Names and Version Numbers of Libraries Loaded

Compute Disc of Given Radius in Linear Network

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Generate Multitype Poisson Point Pattern

Recognise Fitted Determinantal Point Process Models

Apply Function Pixelwise to List of Images

Check Whether Point Process Model is Valid

Determine Initial State for Metropolis-Hastings Simulation.

Estimate the J-function

Superimpose Several Geometric Patterns

invoke.symbolmap

Plot Data Using Graphics Symbol Map

Leverage Measure for Spatial Point Process Model

Name for Unit of Length

intensity.quadratcount

Intensity Estimates Using Quadrat Counts

Foxall's Distance Functions

is.multitype.ppm

Test Whether A Point Process Model is Multitype

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Integral of a Pixel Image

Compute Images of Constructed Covariates

Simulate Stratified Random Point Pattern

Extract Subset of Function Values

Nearest neighbour distances in three dimensions

Create a Pixel Image Object

Murchison gold deposits

Create Pixel Image on Linear Network

Fit Point Process Model to Several Point Patterns

Subset of Quadrature Scheme

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Extract Subset of Multidimensional Point Pattern

Chorley-Ribble Cancer Data

Test Whether Object is a Hybrid

Smoothed Relative Density of Pairs of Covariate Values

Marked Nearest Neighbour Distance Function

Pairwise distances between line segments

Identify Covariates Involved in each Model Term

Extract the Domain of any Spatial Object

Intensity of Fitted Point Process Model

Point and Click Interface for Displaying Spatial Data

Apply Geometrical Transformation To Tessellation

Influence Measure for Spatial Point Process Model

Test whether Object is Multitype

Create Point Pattern on Linear Network

Ord Interaction Process Family

Neighbourhood density function

nearest.raster.point

Find Pixel Nearest to a Given Point

Kaplan-Meier and Reduced Sample Estimator using Histograms

Methods for Spatial Logistic Regression Models

Kimboto trees at Paracou, French Guiana

Midpoints of Line Segment Pattern

Nearest neighbours in three dimensions

Simulate a Fitted Cluster Point Process Model

Galaxies in the Shapley Supercluster

Extract or Replace Subset of Point Pattern

Piecewise Constant Saturated Pairwise Interaction Point Process Model

reload.or.compute

Compute Unless Previously Saved

Test Whether An Object Is A Point Pattern

Multitype L-function (i-to-any)

Test Whether A Point Process Model is Marked

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Residuals for Fitted Point Process Model

Likelihood Ratio Test Statistic for Scan Test

Extract.leverage.ppm

Extract Subset of Leverage Object

Marks of a Line Segment Pattern

Nearest neighbour

Determine Duplicated Points in a Spatial Point Pattern

Interpolate a Pixel Image

Swedish Pines Point Pattern

Methods for Functions on Linear Network

Nearest neighbour distances on a linear network

Number of Line Segments in a Line Segment Pattern

Create a Function Value Table

Fit the Matern Cluster Point Process by Minimum Contrast

Intersection of Two Tessellations

Log Likelihood and AIC for Point Process Model

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Apply Affine Transformation To Window

Distance to Boundary of Window

Simulate a Fitted Gibbs Point Process Model

Intensity of a Dataset or a Model

Function on a Linear Network

Simulate Log-Gaussian Cox Process

Extract List of Tiles in a Tessellation

Combine Function Value Tables

Extract Subset of Function Array

Methods for Point Patterns on a Linear Network

rPoissonCluster

Simulate Poisson Cluster Process

Inhomogeneous Cross Type L Function

Point and Click Interface for Exploratory Analysis of Point Pattern

Multitype L-function (cross-type)

superimpose.lpp

Superimpose Several Point Patterns on Linear Network

Evaluate Expression Involving Pixel Images

Mosaic Random Set

Simulate from a Fitted Point Process Model

Apply Vector Translation To Point Pattern

Create a Tessellation

Biological Cells Point Pattern

Evaluate an Expression in a Function Table

Nearest Neighbour Map on Linear Network

Generate Quasirandom Point Pattern in Given Window

Third order summary statistic

Graphics Symbol Map

Simulate Matern Cluster Process

Convert Pixel Image to Matrix or Array

Generate grid of parallel lines with random displacement

Convert Data To Class ppp

Simulate systematic random point pattern

Convert Point Pattern to Another Unit of Length

Subset of Point Pattern Satisfying A Condition

Spatial Cumulative Distribution Function

Difference of Disc Areas

Residuals for Point Process Model Fitted to Multiple Point Patterns

Harkness-Isham ants' nests data

Pairwise distances between two different point patterns

Apply Vector Translation To Window

Extract Fitted Point Process Model

Divide Image Into Sub-images

Simulate a Fitted Point Process Model on a Linear Network

Extract.hyperframe

Extract or Replace Subset of Hyperframe

Mark Correlation Integral

Fit Point Process Model Involving Irregular Trend Parameters

Generate N Uniform Random Points in Any Dimensions

Generate Poisson Point Pattern

Rotate a Point Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Divide Multidimensional Point Pattern into Sub-patterns

Summarizing a Quadrature Scheme

Convert Pixel Image to Another Unit of Length

rescue.rectangle

Convert Window Back To Rectangle

Summarizing a Pixel Image

Generate N Uniform Random Points

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Extract Interaction Structure

California Redwoods Point Pattern (Ripley's Subset)

Update a Fitted Point Process Model

Inhomogeneous Nearest Neighbour Function

Variance-Covariance Matrix for a Fitted Point Process Model

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

K Function or Pair Correlation Function of a Point Process Model

Interactively Define a Polygon

Apply Vector Translation To Pixel Image

complement.owin

Take Complement of a Window

Convert Line Segment Pattern to Another Unit of Length

New Zealand Trees Point Pattern

Record the Computation Time

Extract Window of Spatial Object

summary.splitppp

Summary of a Split Point Pattern

Stratified random point pattern

Create Colour-Valued Pixel Image

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Methods for three-dimensional point patterns

Cut margins from rectangle

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Generate N Random Multitype Points

Rounding of Pixel Values

Plot Image Using Texture Fill

Extract.influence.ppm

Extract Subset of Influence Object

Interpret Fitted Model for Metropolis-Hastings Simulation.

Border Region of a Window

ANOVA for Fitted Point Process Models on Linear Network

Estimate window from points alone

Convolution of Pixel Images

Collapse Several Function Tables into One

run.simplepanel

Run Point-and-Click Interface

Aherne's hamster tumour data

Smooth Interpolation of Marks as a Spatial Function

Extract Subset of Line Segment Pattern

Extract Boundary Edges of a Window.

Pairwise distances

Geyer's Saturation Point Process Model

Plot a Spatial Quadrature Scheme

Nonparametric Estimate of Spatially-Varying Relative Risk

Spokes pattern of dummy points

Fit the Thomas Point Process by Minimum Contrast

Hutchings' Bramble Canes data

Apply Smoothing to Function Values

Convert Spatial Object to Pixel Image

The Piecewise Constant Pairwise Interaction Point Process Model

Define Point Process Model for Metropolis-Hastings Simulation.

Diameter of a Window

Data Sharpening of Point Pattern

Volume of an Object

Update a Fitted Cluster Point Process Model

Inhomogeneous Multitype K Dot Function

envelope.envelope

Recompute Envelopes

Generate N Uniform Random Points in Three Dimensions

Beta Ganglion Cells in Cat Retina

Summary of a Spatial Window

Simulation Envelopes of Summary Function

Test Whether An Object Is A Fitted Point Process Model

Empty Space Function of a Three-Dimensional Point Pattern

Plot a List of Things

Perfect Simulation of the Strauss Process

Theoretical Distribution of Nearest Neighbour Distance

Inhomogeneous Empty Space Function

Function Arrays for Spatial Patterns

Add margins to rectangle

Methods for Fitted Point Process Models on a Linear Network

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Translation Edge Correction

Nearest Neighbour Distance Function G

Kaplan-Meier Estimator using Histogram Data

The Strauss Point Process Model

Generic Pairwise Interaction model

Make Function Tables Compatible

Morphological Closing

Apply Affine Transformation To Pixel Image

Generate a Default Pattern of Dummy Points

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Pixel Values Along a Transect

Apply Affine Transformation

Simulate Thomas Process

Extract.layered

Extract Subset of a Layered Object

Trees in Waka national park

Reset Values in Subset of Image

Inhomogeneous Multitype L Dot Function

Spatial Logistic Regression

Diagnostic Plots for Fitted Point Process Model

Hybrid Interaction Point Process Model

Print News About Latest Version of Package

methods.objsurf

Methods for Objective Function Surfaces

The Multitype Strauss Point Process Model

Methods for Intensity Functions of Spatial Covariate

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Spatial Scan Test

Extract Subset of Image

Centroid of a window

Determine Type of Window

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

spatstat-package

The Spatstat Package

split.hyperframe

Divide Hyperframe Into Subsets and Reassemble

Basis for Harmonic Functions

Random Thinning

Extract Subset of Signed or Vector Measure

spatstat-internal

Internal spatstat functions

The Multitype Hard Core Point Process Model

Inhomogeneous J-function

Poisson Line Tessellation

Compute Integral of Function Against Cumulative Distribution

Marked J Function

Methods for Three-Dimensional Box

Detect Numerical Rounding

Convert Window to Another Unit of Length

Mosaic Random Field

Generate Poisson Point Pattern on Line Segments

Lambert's W Function

Bounding Box of a Window, Image, or Point Pattern

K Function or Pair Correlation Function of Gibbs Point Process model

Inhomogeneous K-function

linearpcfcross.inhom

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

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

The Connected Component Process Model

as.data.frame.im

Convert Pixel Image to Data Frame

Apply Geometrical Transformations to a Linear Network

Circular Window

Distance to Boundary of Window

Kernel Smoothed Intensity of Point Pattern

Spatial smoothing of data

Perfect Simulation of the Diggle-Gratton Process

Kernel Smoothing of Line Segment Pattern

Extract.splitppp

Extract or Replace Sub-Patterns

linearKdot.inhom

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

Nearest Neighbours Between Two Patterns

Sporophores Data

Summary of a Line Segment Pattern Dataset

Generate a Quadrature Scheme from a Point Pattern

California Redwoods Point Pattern (Entire Dataset)

Apply a Function to a Point Pattern Broken Down by Factor

Intersect Infinite Straight Lines with a Window

Profile Maximum Pseudolikelihood

Plot a List of Point Patterns

Set Control Parameters for Metropolis-Hastings Algorithm.

Convert Pixel Image to Matrix

Simulate Gauss-Poisson Process

Spatial Distribution Test for Point Pattern or Point Process Model

Distribution Function of Interpoint Distance

Multitype pair correlation function (i-to-any)

Locally Scaled K-function

Vertices of a Window

Scatterplot Matrix for Pixel Images

Compute Areas of Tiles in a Tessellation

Pool Data from Several Function Arrays

model.matrix.ppm

Extract Design Matrix from Point Process Model

Spruces Point Pattern

Model Compensator of Nearest Neighbour Function

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Area of a Window

Model Compensator of K Function

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Inhomogeneous Pair Correlation Function

Extract Subset of Point Pattern on Linear Network

Find Line Segment Nearest to Each Point

Plot a Pixel Image

Multitype pair correlation function (cross-type)

Plot a Graphics Symbol Map

Plot a tessellation

Extract or Replace the Plot Arguments of a Layered Object

Simulate point patterns using the Metropolis-Hastings algorithm.

plot a Fitted Point Process Model

Print Progress Reports

The Area Interaction Point Process Model

Multi-Dimensional Box

Diagnostics for random marking

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Hybrid Interaction Family

Marked K-Function

Cells in Gastric Mucosa

Extract Quadrature Scheme Used to Fit a Point Process Model

Perfect Simulation of the Diggle-Gates-Stibbard Process

List Dihedral Triples in a Graph

Apply Function to Image Broken Down by Factor

Tropical rain forest trees

inforder.family

Infinite Order Interaction Family

Inhomogeneous Cross K Function

Spatial smoothing of observations at irregular points

Rotate a Window

Japanese Pines Point Pattern

The Strauss / Hard Core Point Process Model

Convert Data to Numeric Values by Constructing Dummy Variables

plot.hyperframe

Plot Entries in a Hyperframe

Generate Random Numbers of Points for Cell Process

Multitype J Function (i-to-any)

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Print Introduction For Beginners

Saturated Pairwise Interaction model

Envelope for Point Patterns on Linear Network

Beadlet Anemones Data

Distance Map of Line Segment Pattern

plot.quadratcount

Plot Quadrat Counts

Morphological Dilation

tweak.colourmap

Change Colour Values in a Colour Map

Convert a Window to a Polygonal Window

Generic Ord Interaction model

Pairwise distances

Compute Quadratic Forms

Convert Function Value Table to Function

Loglikelihood of Spatial Logistic Regression

Simple Example of Linear Network

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

Abbreviations for Groups of Columns in Function Value Table

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Rotate a Line Segment Pattern

Extract or Change the Window of a Spatial Object

Calculate four standard summary functions of a point pattern.

Residual K Function

Distance Map of Point Pattern

Areas of Morphological Erosions

Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution

The Lennard-Jones Potential

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Apply Gaussian Blur to a Pixel Image

The Fiksel Interaction

plot a Fitted Multiple Point Process Model

Point Patterns of New Brunswick Forest Fires

Longleaf Pines Point Pattern

Mixed Poisson Distribution

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Morphological Erosion

Identify Points in a Point Pattern

The Hard Core Point Process Model

Convert Pixel Image from Numeric to Factor

Simple Point-and-Click Interface Panels

Connected components

Nearest Neighbour Distances in Any Dimensions

Plot a plotppm Object Created by plot.ppm

Convert Data To Class psp

plot.texturemap

Plot a Texture Map

Endpoints of Line Segment Pattern

The Soft Core Point Process Model

Local pair correlation function

Inhomogeneous Linear Pair Correlation Function

Extract List of Individual Point Process Models

Point Pair Orientation Distribution

Nearest neighbour distances

Ponderosa Pine Tree Point Pattern

Pairwise distances

Concatenate x,y Coordinate Vectors

Cross Validated Bandwidth Selection for Relative Risk Estimation

Mark Correlation Function

Interactively Add Points

Inverse-distance weighted smoothing of observations at irregular points

quadrat.test.splitppp

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

Orientation Angles of Line Segments

Test Expansion Rule

Convert dataset to another unit of length

pairdist.default

Pairwise distances

Reduced Second Moment Measure

Plot a fitted cluster point process

Methods for Linear Networks

Class of Point Patterns

Plot a Signed or Vector-Valued Measure

Pool Data from Several Ratio Objects

linearpcfdot.inhom

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

pppmatching.object

Class of Point Matchings

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Function Value Table

Contour plot of pixel image

Convert Line Segment Pattern to Pixel Image

Subdivide a Window or Tessellation using a Set of Lines

Weighted Empirical Cumulative Distribution Function

Fry Plot of Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Triplet Interaction Family

Diggle-Gratton model

Pool Data from Several Envelopes

Areas of Morphological Dilations

Residual Diagnostics for Multiple Fitted Models

Generate a Row or Column Arrangement of Rectangles.

Convert to Pixel Image on Linear Network

Connected components of a point pattern

Extract Subset of Linear Network

Difference of Disc Areas

Distance to Boundary of Window

K-function of a Three-Dimensional Point Pattern

Extract Original Data from a Fitted Point Process Model

Close Pairs of Points

Circumradius and Diameter of a Linear Network

Weighted Histogram

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Predicted or Fitted Values from Spatial Logistic Regression

Plot a linear network

Generate Poisson Point Pattern in Any Dimensions

edges2triangles

List Triangles in a Graph

Convert Data To Class owin

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Morisita Index Plot

Sector K-function

rshift.splitppp

Randomly Shift a List of Point Patterns

Close Pairs of Points in 3 Dimensions

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

Scott's Rule for Bandwidth Selection for Kernel Density

Simulation Envelopes of Summary Function for 3D Point Pattern

crossdist.default

Pairwise distances between two different sets of points

plot.influence.ppm

Plot Influence Measure

Plot a Fitted Spatial Logistic Regression

People in Gordon Square

compatible.fasp

Test Whether Function Arrays Are Compatible

Sample Quantiles of Pixel Image

Cross Validated Bandwidth Selection for Kernel Density

delaunay.distance

Distance on Delaunay Triangulation

Methods for Multidimensional Space-Time Point Patterns

matclust.estpcf

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

Exponential Energy Marks

Test Whether Pixel Images Are Compatible

Three-Dimensional Box

Prediction for Fitted Multiple Point Process Model

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

project2segment

Move Point To Nearest Line

Distance Map on Linear Network

Castilla-La Mancha Forest Fires

clarkevans.test

Clark and Evans Test

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

Scots pines and other trees at Hyytiala

Artificial Data Point Pattern

linearKcross.inhom

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

Compute Area of Overlap

Plot a Spatial Window

Fit the Neyman-Scott cluster process with Cauchy kernel

Stoyan's Rule of Thumb for Bandwidth Selection

Multitype J Function (i-to-j)

Estimate Variance of Summary Statistic by Subdivision

Make Pixel Images Compatible

Extract or Change the Plot Formula for a Function Value Table

Method of Minimum Contrast

Generate Poisson Random Line Process

Level Set of a Pixel Image

pool.quadrattest

Pool Several Quadrat Tests

Fill Plot With Texture

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Predict Point Process Model on Linear Network

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Convert Data to a Point Pattern on a Linear Network

ANOVA for Fitted Point Process Models

Pair Correlation Function obtained from K Function

Test Whether Objects Are Compatible

Corners of a rectangle

Fitted Conditional Intensity for Point Process Model

Plot Function Values

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

Exchange X and Y Coordinates

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Pairwise distances between two point patterns on a linear network

Berman-Huntington points and lines data

Pine saplings in Finland.

K-function using FFT

Plot Result of Scan Test

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Mark of Nearest Neighbour

Humberside Data on Childhood Leukaemia and Lymphoma

Dirichlet Tessellation of Point Pattern

Plot a Spatial Distribution Test

spatstat-deprecated

Deprecated spatstat functions

Delaunay Triangulation of Point Pattern

Chicago Street Crime Data

Bootstrap Confidence Bands for Summary Function

Print a Quadrature Scheme

Identify Nearest Neighbours on a Linear Network

Plot a Function Array

Signed or Vector-Valued Measure

Pair Correlation Function of a Three-Dimensional Point Pattern

Apply Geometrical Transformations to Point Pattern on a Linear Network

Estimate the empty space function F

Number of Points in a Point Pattern

Fit the Neyman-Scott cluster process with Cauchy kernel

Pairwise Distances in Any Dimensions

Plot a Simulation Envelope

Foo is Not a Variable

Demonstration Example of Hyperframe of Spatial Data

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Rectangular grid of points

Hyper Data Frame

Create a Line Segment Pattern

methods.layered

Methods for Layered Objects

Model Formulae for Gibbs Point Process Models

Plot a List of Things

pairwise.family

Pairwise Interaction Process Family

Elliptical Window.

Evaluate Expression Involving Function Arrays

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

Distance Between Two Point Patterns

Cross Validated Bandwidth Selection for Spatial Smoothing

Test Whether a Window is Convex

Print Brief Details of a Spatial Window

Morphological Opening

Test Whether Function Objects Are Compatible

interp.colourmap

Interpolate smoothly between specified colours

Extract or Replace Subset of Tessellation

Lansing Woods Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Quadrature Scheme Based on Pixel Grid

Progress Plot of Test of Spatial Pattern

Hughes' Amacrine Cell Data

Convert Point Pattern to Pixel Image

Nearest Neighbours Between Two Patterns in 3D

Spherical Contact Distribution Function

Convert and Compare Colours in Different Formats

Determine Whether One Window is Contained In Another

Extract Pixel Centres as Point Pattern

Coefficients of Fitted Point Process Model

plot a Spatial Point Pattern

Plot Pixel Image on Linear Network

Inhomogeneous Marked K-Function

Force Point Process Model to be Valid

Pad the Border of a Pixel Image

Ord's Interaction model

Apply Affine Transformation To Point Pattern

Berman's Tests for Point Process Model

Clark and Evans Aggregation Index

Diameter of an Object

Evaluate Expression Involving Functions

Methods for Multi-Dimensional Box

Create a Window

Convert Data to Hyperframe

Coefficients of Fitted Spatial Logistic Regression Model

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

quadratresample

Resample a Point Pattern by Resampling Quadrats

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

model.frame.ppm

Extract the Variables in a Point Process Model

Pair Correlation Function obtained from array of K functions

Print Brief Details of an Image

Evaluate Expression Involving Pixel Images on Linear Network

Test Whether An Object Is A Window

Inhomogeneous Neighbourhood Density Function

Influenza Virus Proteins

Create a Point Matching

plot a Spatial Line Segment Pattern

K-th Nearest Point Map

Perimeter Length of Window

Plot a three-dimensional point pattern

Apply Affine Transformation To Line Segment Pattern

Fitted Probabilities for Spatial Logistic Regression

Nearest Neighbour Index Map as a Function

Coefficients of Point Process Model Fitted to Multiple Point Patterns

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Distance Map of Window

Perfect Simulation of the Hardcore Process

Convert Data To Tessellation

Analysis of Deviance for Spatial Logistic Regression Models

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

Objective Function Surface

Spatial Function Class

quadrat.test.mppm

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

Classify Points in a Point Pattern

Print Brief Details of a Point Pattern Dataset

Test Whether An Object Is A Pixel Image

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Nearest Neighbour Clutter Removal

Quadrat counting for a point pattern

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Class of Line Segment Patterns

Hexagonal Grid or Tessellation

Estimate the I-function

Ripley's Isotropic Edge Correction

Methods for Fitted Interactions

Beta Ganglion Cells in Cat Retina, Old Version

Pixel Image Approximation of a Window

Create a Linear Network

Bandwidth Selection Based on Window Geometry

Prediction from a Fitted Point Process Model

Make Periodic Copies of a Spatial Pattern

Lurking variable plot

Crossing Points of Two Line Segment Patterns

Geometrical Calculations for Three-Dimensional Box

Create a Point Pattern

Methods for Units

Divide Region into Quadrats

Identify Segments in a Line Segment Pattern

Plot a Fitted Point Process Model on a Linear Network

Interactively join vertices on a plot

Nearest Neighbours on a Linear Network

Convert Window to Pixel Image

Diggle's Heather Data

Saturated Pairwise Interaction Point Process Family

Inhomogeneous Linear K Function

Prediction from a Fitted Cluster Point Process Model

Fit Point Process Model to Point Pattern on Linear Network

Fit Point Process Model to Data

Marked pair correlation function

Print Brief Details of a Line Segment Pattern Dataset

Pairwise shortest-path distances between points on a linear network

Distance Map as a Function

Plot Point Pattern on Linear Network

Spatial Distribution Test for Multiple Point Process Model

Pairwise distances between two different line segment patterns

Print a Fitted Point Process Model

Allard-Fraley Estimator of Cluster Feature

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Nearest Neighbours in Any Dimensions

Pairwise distances between two different three-dimensional point patterns

Compute Quadrature Weights Based on Grid Counts

Poisson Point Process Model

Multidimensional Space-Time Point Pattern

Pairwise distances in Three Dimensions

Methods for Cluster Point Process Models

Mark Connection Function

Histogram of Pixel Values in an Image

Test Whether A Point Pattern is Marked

ANOVA for Fitted Multiple Point Process Models

Log Likelihood for Poisson Point Process Model

Partial Residuals for Point Process Model

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Place Points Evenly Along Specified Lines

Fit Point Process Model to Point Pattern Data

bounding.box.xy

Convex Hull of Points

Pair Correlation Function of Point Pattern

Quantiles of Weighted Empirical Cumulative Distribution Function

Plot a Colour Map

Create List of Plotting Layers

Marks of a Point Pattern

Outdated Functions

Pair Correlation Function

Dummy Function Returns Number of Points

Extract Subset of Window

Perspective Plot of Pixel Image

Fit Cluster or Cox Point Process Model

Q-Q Plot of Residuals from Fitted Point Process Model

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

Distance for a Point Pattern Matching

Test Whether Marks Are Present

Linear K Function

Generate N Uniform Random Points in a Disc

Reduced Sample Estimator using Histogram Data

Simulate a Fitted Spatial Logistic Regression Model

Extract or Replace Subset of a List of Things

Define Point Process Model for Metropolis-Hastings Simulation.

Randomly Shift a Line Segment Pattern

vargamma.estpcf

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

Convex Hull of Points

Residual G Function

Union of Data and Dummy Points

Parameter influence measure

Geometrical Calculations for Multi-Dimensional Box

Default Expansion Rule for Simulation of Model

Apply Expansion Rule

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

plot.quadrattest

Display the result of a quadrat counting test.

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Quasirandom Patterns

Recognise Stationary and Poisson Point Process Models

Interaction Distance of a Point Process

Three Dimensional Point Pattern

Methods for Spatial Functions

Compute Minimum or Maximum Nearest-Neighbour Distance

Find Largest Circle Inside Window

Summarise Marks in Every Neighbourhood in a Point Pattern

Poisson Point Process on a Linear Network

Summary of a Point Pattern Dataset

Specify Simulation Window or Expansion Rule

Smoothing Estimate of Covariate Transformation

Weighted kernel smoother

Randomly Shift a Point Pattern

Hybrid Geyer Point Process Model

Data and Code From JRSS Discussion Paper on Residuals

update.symbolmap

Update a Graphics Symbol Map.

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

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Summarizing a Fitted Point Process Model

Fit the Thomas Point Process by Minimum Contrast

Perfect Simulation of the Strauss-Hardcore Process

Multitype K Function (Cross-type)

Convert Line Segment Pattern to Binary Pixel Mask

Convert Data To Class fv

Convert Data to Three-Dimensional Box

Convert Data To Layered Object

Bronze gradient filter data

Area of Part of Disc

Colour Lookup Tables

Extract the Interaction from a Fitted Point Process Model

Names of Tiles in a Tessellation

Calculate Derivative of Function Values

plot.leverage.ppm

Plot Leverage Function

Class of Quadrature Schemes

multiplicity.ppp

Count Multiplicity of Duplicate Points

Class of Fitted Point Process Models

plot.bermantest

Plot Result of Berman Test

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

Pseudoscore Diagnostic For Fitted Model against General Alternative

Interactively Define a Rectangle

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Nearest neighbour distances between line segments

Generate N Random Points

Apply Vector Translation

Range of Function Values

Simulated Point Pattern

Set Covariance of a Window

Uniform Random Points on a Linear Network

Extract or Change the Containing Rectangle of a Spatial Object

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

scaletointerval

Rescale Data to Lie Between Specified Limits

Apply Numerical Rounding to Spatial Coordinates

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

Smooth a Signed or Vector-Valued Measure

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Create Colour Scheme for a Range of Numbers

Combine Two Line Segment Patterns

Apply Vector Translation To Line Segment Pattern

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Fitted Conditional Intensity for Multiple Point Process Model

Determine A Common Spatial Domain And Pixel Resolution

Pyramidal Neurons in Cingulate Cortex

Gorilla Nesting Sites

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

Panel Plots using Colour Image or Contour Lines