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spatstat (version 1.34-0)

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

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include 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, Dao-Genton) are also supported. Point process models can be fitted to point pattern data using the functions ppm, kppm, slrm similar to glm. 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 various composite likelihood methods. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported. Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, and leverage and influence diagnostics.

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Version

Install

install.packages('spatstat')

Monthly Downloads

17,668

Version

1.34-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

October 24th, 2013

Functions in spatstat (1.34-0)

Convert Line Segment Pattern to Binary Pixel Mask

Extract Fitted Point Process Model

Residual Diagnostics for Multiple Fitted Models

Diameter of an Object

Evaluate Expression Involving Pixel Images

Distance Map as a Function

Distance to Boundary of Window

Three-Dimensional Box

Intersection of Two Tessellations

Convert Data To Class fv

Bounding Box of a Window or Point Pattern

Border Region of a Window

Extract or Replace the Plot Arguments of a Layered Object

Convert Data To Class psp

Diameter of a Window

Distance Map on Linear Network

Create a Function Value Table

Contour plot of pixel image

Fit the Matern Cluster Point Process by Minimum Contrast

Compute Disc of Given Radius in Linear Network

Convert a Window to a Polygonal Window

Convert Pixel Image to Matrix

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Inverse-distance weighted smoothing of observations at irregular points

Berman's Tests for Point Process Model

Class of Fitted Point Process Models

Convert Pixel Image to Matrix or Array

Default Expansion Rule for Simulation of Model

linearKdot.inhom

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

Distance to Boundary of Window

Model Formulae for Gibbs Point Process Models

Combine Function Value Tables

Plot a List of Things

Convert Pixel Image from Numeric to Factor

Compute Quadrature Weights Based on Grid Counts

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Test Whether Function Objects Are Compatible

Hutchings' Bramble Canes data

Reduced Sample Estimator using Histogram Data

Weighted Empirical Cumulative Distribution Function

Scott's Rule for Bandwidth Selection for Kernel Density

Generate grid of parallel lines with random displacement

Parameter influence measure

Test Whether Objects Are Compatible

Mosaic Random Set

Pairwise distances between two point patterns on a linear network

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Perfect Simulation of the Strauss-Hardcore Process

Methods for three-dimensional point patterns

Area of Part of Disc

Pairwise distances between two different line segment patterns

Progress Plot of Test of Spatial Pattern

Test Whether Marks Are Present

Compute Images of Constructed Covariates

Determine A Common Spatial Domain And Pixel Resolution

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Extract Interaction Structure

Coefficients of Fitted Point Process Model

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Lengths of Line Segments

Translation Edge Correction

Create a Tessellation

Fit the Neyman-Scott cluster process with Cauchy kernel

summary.splitppp

Summary of a Split Point Pattern

Tropical rain forest trees

Interaction Distance of a Point Process

Delaunay Triangulation of Point Pattern

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

delaunay.distance

Distance on Delaunay Triangulation

Beta Ganglion Cells in Cat Retina, Old Version

Extract Dummy Points Used to Fit a Point Process Model

Circumradius and Diameter of a Linear Network

Gorilla Nesting Sites

Extract the Interaction from a Fitted Point Process Model

Morphological Dilation

Colour Lookup Tables

Nearest neighbours in three dimensions

Circular Window

Test Whether An Object Is A Pixel Image

Extract List of Tiles in a Tessellation

Estimate window from points alone

Convert Data To Tessellation

Extract Original Data from a Fitted Point Process Model

interp.colourmap

Interpolate smoothly between specified colours

clarkevans.test

Clark and Evans Test

Convert Data to Three-Dimensional Box

Hybrid Interaction Family

Point and Click Interface for Displaying Spatial Data

Apply Function to Image Broken Down by Factor

Recognise Stationary and Poisson Point Process Models

Subdivide a Window or Tessellation using a Set of Lines

Lurking variable plot

Morphological Erosion

Test Whether A Point Pattern is Marked

Bandwidth Selection Based on Window Geometry

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Coefficients of Fitted Spatial Logistic Regression Model

Berman-Huntington points and lines data

Create List of Plotting Layers

Simulate a Fitted Gibbs Point Process Model

Scots pines and other trees at Hyytiala

Plot a Fitted Spatial Logistic Regression

Convert Point Pattern to Another Unit of Length

Ripley's Isotropic Edge Correction

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

Chicago Street Crime Data

Inhomogeneous Linear K Function

Empirical Intensity of Point Pattern on Linear Network

Intensity of Fitted Point Process Model

Convert Data to Hyperframe

Determine Type of Window

Kaplan-Meier and Reduced Sample Estimator using Histograms

Clark and Evans Aggregation Index

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

rescue.rectangle

Convert Window Back To Rectangle

envelope.envelope

Recompute Envelopes

Distance Between Two Point Patterns

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Dirichlet Tessellation of Point Pattern

List Dihedral Triples in a Graph

Allard-Fraley Estimator of Cluster Feature

quadrat.test.splitppp

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

Summarise Marks in Every Neighbourhood in a Point Pattern

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

methods.layered

Methods for Layered Objects

Pairwise shortest-path distances between points on a linear network

Detect Numerical Rounding

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

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Simulation Envelopes of Summary Function

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Simulation Envelopes of Summary Function for 3D Point Pattern

Sufficient Statistic of Point Process Model

Random Perturbation of a Point Pattern

Crossing Points of Two Line Segment Patterns

Diagnostic Plots for Fitted Point Process Model

linearKcross.inhom

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

Bronze gradient filter data

Spatial Covariance of a Pixel Image

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Record the Computation Time

Endpoints of Line Segment Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Mark of Nearest Neighbour

Methods for Three-Dimensional Box

Class of Quadrature Schemes

Reflect In Origin

Prediction from a Fitted Point Process Model

Make Pixel Images Compatible

Test Whether Points Are Inside A Window

Generate N Uniform Random Points in a Disc

Smoothed Relative Density of Pairs of Covariate Values

Signed or Vector-Valued Measure

Apply Expansion Rule

Ponderosa Pine Tree Point Pattern

Triplet Interaction Family

Divide Region into Quadrats

Test whether Object is Multitype

Superimpose Several Geometric Patterns

Biological Cells Point Pattern

Convert Pixel Image to Another Unit of Length

Centroid of a window

Place Points Evenly Along Specified Lines

Pool Data from Several Ratio Objects

Read Point Pattern From Data File

Convert to Pixel Image

Extract Unique Points from a Spatial Point Pattern

Test Whether Pixel Images Are Compatible

spatstat-deprecated

Deprecated spatstat functions

Extract or Change the Plot Formula for a Function Value Table

Fit Point Process Model to Data

Determine Duplicated Points in a Spatial Point Pattern

Kaplan-Meier Estimator using Histogram Data

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Simulate Simple Sequential Inhibition

Pairwise distances between two different three-dimensional point patterns

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Apply Scalar Dilation

Extract Quadrature Scheme Used to Fit a Point Process Model

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

Integral of a Pixel Image

nearest.raster.point

Find Pixel Nearest to a Given Point

Pairwise distances between two different point patterns

Simulate a Fitted Cluster Point Process Model

Vertices of a Window

Convert and Compare Colours in Different Formats

Summarizing a Pixel Image

scaletointerval

Rescale Data to Lie Between Specified Limits

Spatial Function Class

Distance Map of Point Pattern

Optimise Irregular Trend Parameters in Point Process Model

compatible.fasp

Test Whether Function Arrays Are Compatible

Union of Data and Dummy Points

Test Whether Object is a Hybrid

pool.quadrattest

Pool Several Quadrat Tests

Envelope for Point Patterns on Linear Network

Simulate Neyman-Scott Process

Simulate Baddeley-Silverman Cell Process

Spatial smoothing of observations at irregular points

Concatenate x,y Coordinate Vectors

Pool Data from Several Function Arrays

Lansing Woods Point Pattern

Set Control Parameters for Metropolis-Hastings Algorithm.

Data and Code From JRSS Discussion Paper on Residuals

Variance-Covariance Matrix for a Fitted Point Process Model

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Convert Window to Another Unit of Length

Profile Maximum Pseudolikelihood

Create Point Pattern on Linear Network

Simulated Point Pattern

Generate N Random Multitype Points

Print a Fitted Point Process Model

quadratresample

Resample a Point Pattern by Resampling Quadrats

Interactively Add Points

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Simulate Stratified Random Point Pattern

Set Covariance of a Window

Connected components

Summarizing a Quadrature Scheme

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Corners of a rectangle

Test Whether An Object Is A Fitted Point Process Model

Uniform Random Points on a Linear Network

Compute Areas of Tiles in a Tessellation

Convert to Pixel Image on Linear Network

Pairwise distances between line segments

Randomly Shift a Point Pattern

Approximate a Polygon by a Simpler Polygon

Update a Fitted Cluster Point Process Model

Pixel Image Approximation of a Window

spatstat-internal

Internal spatstat functions

Nonparametric Estimate of Spatially-Varying Relative Risk

Random Re-Labelling of Point Pattern

Convert Data to a Point Pattern on a Linear Network

Generate Random Numbers of Points for Cell Process

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Q-Q Plot of Residuals from Fitted Point Process Model

spatstat-package

The Spatstat Package

Generate a Default Pattern of Dummy Points

Print Introduction For Beginners

Generate Poisson Random Line Process

as.data.frame.im

Convert Pixel Image to Data Frame

Apply Vector Translation To Pixel Image

rPoissonCluster

Simulate Poisson Cluster Process

Poisson Line Tessellation

Apply Numerical Rounding to Spatial Coordinates

Areas of Morphological Dilations

Convert Data to Numeric Values by Constructing Dummy Variables

Print Brief Details of an Image

Randomly Shift a Line Segment Pattern

Summary of a Line Segment Pattern Dataset

Kernel Smoothed Intensity of Point Pattern

Summary of a Point Pattern Dataset

Print Progress Reports

Simulate a Fitted Spatial Logistic Regression Model

Generate Poisson Point Pattern in Any Dimensions

Geometrical Calculations for Multi-Dimensional Box

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

bounding.box.xy

Convex Hull of Points

Apply Gaussian Blur to a Pixel Image

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Class of Images

Spatial Scan Test

Spokes pattern of dummy points

Connected components of a point pattern

Spruces Point Pattern

Create Colour Scheme for a Range of Numbers

Define Point Process Model for Metropolis-Hastings Simulation.

Chorley-Ribble Cancer Data

Convert Data To Class ppp

Castilla-La Mancha Forest Fires

Predict Point Process Model on Linear Network

Evaluate Expression Involving Pixel Images on Linear Network

Rotate a Point Pattern

Convolution of Pixel Images

Create a Line Segment Pattern

Multidimensional Space-Time Point Pattern

Evaluate Expression Involving Function Arrays

Influence Measure for Spatial Point Process Model

Plot a List of Point Patterns

Function Value Table

Volume of an Object

Residuals for Fitted Point Process Model

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

crossdist.default

Pairwise distances between two different sets of points

Apply Smoothing to Function Values

Geometrical Calculations for Three-Dimensional Box

Estimate the I-function

Test Expansion Rule

Apply Vector Translation To Line Segment Pattern

Name for Unit of Length

Simulate Gauss-Poisson Process

Areas of Morphological Erosions

Fit the Neyman-Scott cluster process with Cauchy kernel

Basis for Harmonic Functions

Generate Multitype Poisson Point Pattern

Saturated Pairwise Interaction model

Pairwise distances

Theoretical Distribution of Nearest Neighbour Distance

Distribution Function of Interpoint Distance

Methods for Functions on Linear Network

Methods for Linear Networks

Function Arrays for Spatial Patterns

Spatial smoothing of data

Nearest Neighbour Map on Linear Network

Distance Map of Window

Names of Tiles in a Tessellation

Convert dataset to another unit of length

Cross Validated Bandwidth Selection for Relative Risk Estimation

Rectangular grid of points

Intensity of a Dataset or a Model

Class of Point Patterns

Pseudoscore Diagnostic For Fitted Model against General Alternative

Interactively Define a Polygon

Collapse Several Function Tables into One

Rotate a Line Segment Pattern

plot a Spatial Line Segment Pattern

Identify Points in a Point Pattern

Nearest neighbour distances on a linear network

Plot a tessellation

Mosaic Random Field

inforder.family

Infinite Order Interaction Family

complement.owin

Take Complement of a Window

Multitype J Function (i-to-any)

Classify Points in a Point Pattern

Test Whether a Window is Convex

Local pair correlation function

Interactively join vertices on a plot

Exponential Energy Marks

Identify Nearest Neighbours on a Linear Network

Simulate Thomas Process

Print a Quadrature Scheme

Specify Simulation Window or Expansion Rule

Fit the Thomas Point Process by Minimum Contrast

Smoothing Estimate of Covariate Transformation

Generate a Quadrature Scheme from a Point Pattern

People in Gordon Square

Fitted Probabilities for Spatial Logistic Regression

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Perfect Simulation of the Strauss Process

Hybrid Geyer Point Process Model

Create a Point Pattern

Print Names and Version Numbers of Libraries Loaded

Calculate Derivative of Function Values

Check Whether Point Process Model is Valid

Convert Line Segment Pattern to Another Unit of Length

Fit the Thomas Point Process by Minimum Contrast

Cut margins from rectangle

Generate Poisson Point Pattern in Three Dimensions

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Evaluate Expression Involving Functions

Influenza Virus Proteins

Identify Segments in a Line Segment Pattern

plot a Spatial Point Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Hyper Data Frame

Sample Quantiles of Pixel Image

Cartesian Coordinates for a Pixel Raster

Safely Convert Point Pattern Window to Binary Mask

tweak.colourmap

Change Colour Values in a Colour Map

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

California Redwoods Point Pattern (Ripley's Subset)

Estimate Variance of Summary Statistic by Subdivision

Pool Data from Several Envelopes

Galaxies in the Shapley Supercluster

Three Dimensional Point Pattern

Test Whether An Object Is A Window

Convert Point Pattern to Pixel Image

Rotate a Window

Create a Point Matching

Simulate Matern Cluster Process

Level Set of a Pixel Image

Distance for a Point Pattern Matching

Perfect Simulation of the Hardcore Process

Urkiola Woods Point Pattern

Print Brief Details of a Spatial Window

Generate Poisson Point Pattern on Line Segments

Convert Function Value Table to Function

Apply Vector Translation

project2segment

Move Point To Nearest Line

Loglikelihood of Spatial Logistic Regression

Extract Subset of Window

Predicted or Fitted Values from Spatial Logistic Regression

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Interpret Fitted Model for Metropolis-Hastings Simulation.

Create Colour-Valued Pixel Image

Pixel Values Along a Transect

Generate N Uniform Random Points in Three Dimensions

The Multitype Hard Core Point Process Model

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Divide Image Into Sub-images

Apply Vector Translation To Window

Extract Subset of Line Segment Pattern

Generate N Random Points

California Redwoods Point Pattern (Entire Dataset)

Simulate Log-Gaussian Cox Process

Weighted Histogram

Beta Ganglion Cells in Cat Retina

Compute Quadratic Forms

Summary of a Spatial Window

rshift.splitppp

Randomly Shift a List of Point Patterns

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

Convex Hull of Points

Random Thinning

Force Point Process Model to be Valid

Apply Vector Translation To Point Pattern

Extract.splitppp

Extract or Replace Sub-Patterns

Difference of Disc Areas

Update a Fitted Point Process Model

Swedish Pines Point Pattern

ANOVA for Fitted Point Process Models on Linear Network

Rounding of Pixel Values

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

Inhomogeneous Cross K Function

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Extract Subset of Multidimensional Point Pattern

Generate Poisson Point Pattern

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

Multi-Dimensional Box

Interpolate a Pixel Image

Inhomogeneous J-function

Exchange X and Y Coordinates

Simulate Matern Model II

plot a Spatial Quadrature Scheme

Inhomogeneous Nearest Neighbour Function

Multitype L-function (i-to-any)

Print Brief Details of a Line Segment Pattern Dataset

Methods for Units

Cross Validated Bandwidth Selection for Spatial Smoothing

Distance to Boundary of Window

K function of a model

Orientation Angles of Line Segments

Simple Example of Linear Network

Infinite Straight Lines

Diagnostics for random marking

Simulate Matern Model I

Poisson Point Process on a Linear Network

Function on a Linear Network

Rotate a Pixel Image

Test Whether An Object Is Empty

The Soft Core Point Process Model

Class of Line Segment Patterns

Evaluate an Expression in a Function Table

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

Smooth a Signed or Vector-Valued Measure

The Piecewise Constant Pairwise Interaction Point Process Model

Reduced Second Moment Measure

Fit Cluster or Cox Point Process Model

Simulate systematic random point pattern

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

Simulate from a Fitted Point Process Model

Lambert's W Function

Poisson Point Process Model

Reset Values in Subset of Image

Plot a plotppm Object Created by plot.ppm

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

Test Whether An Object Is A Point Pattern

K-th Nearest Point Map

Plot a List of Things

Model Compensator of K Function

Divide Multidimensional Point Pattern into Sub-patterns

Generic Ord Interaction model

Residual K Function

Quadrat counting for a point pattern

Beadlet Anemones Data

ANOVA for Fitted Point Process Models

Compute Integral of Function Against Cumulative Distribution

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

Dummy Function Returns Number of Points

Locally Scaled K-function

Summary of a List of Things

Diggle's Heather Data

Multitype pair correlation function (cross-type)

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Plot a Pixel Image

Print Brief Details of a Point Pattern Dataset

The Connected Component Process Model

Stratified random point pattern

Multitype K Function (i-to-any)

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Data Sharpening of Point Pattern

Methods for Spatial Functions

Inhomogeneous Cross Type L Function

Plot a linear network

Difference of Disc Areas

Bootstrap Confidence Bands for Summary Function

matclust.estpcf

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

Marked K-Function

Mark Correlation Function

Extract or Replace Subset of Tessellation

Multitype K Function (Cross-type)

linearpcfcross.inhom

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

Perfect Simulation of the Diggle-Gates-Stibbard Process

Inhomogeneous Empty Space Function

Saturated Pairwise Interaction Point Process Family

Extract Subset of Function Array

Divide Point Pattern into Sub-patterns

Nearest Neighbours on a Linear Network

Cells in Gastric Mucosa

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

K-function of a Three-Dimensional Point Pattern

Pair Correlation Function obtained from K Function

Number of Points in a Point Pattern

pairdist.default

Pairwise distances

Identify Pixelwise Maximum of Several Pixel Images

Plot Function Values

plot.bermantest

Plot Result of Berman Test

pairwise.family

Pairwise Interaction Process Family

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

spatstat.options

Internal Options in Spatstat Package

Create a Pixel Image Object

Inhomogeneous Marked K-Function

Ord's Interaction model

Residual G Function

Empty Space Function of a Three-Dimensional Point Pattern

Apply Affine Transformation To Pixel Image

Compute Area of Overlap

Marked J Function

Calculate four standard summary functions of a point pattern.

Apply a Function to a Point Pattern Broken Down by Factor

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Plot a Colour Map

Generate N Uniform Random Points in Any Dimensions

Trees in Waka national park

Weighted kernel smoother

Morphological Closing

Marks of a Line Segment Pattern

Determine Whether One Window is Contained In Another

Model Compensator of Nearest Neighbour Function

Neighbourhood density function

Create a Window

Methods for Intensity Functions of Spatial Covariate

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Kimboto trees at Paracou, French Guiana

Histogram of Pixel Values in an Image

Cross Validated Bandwidth Selection for Kernel Density

is.multitype.ppp

Test Whether A Point Pattern is Multitype

New Zealand Trees Point Pattern

Make Periodic Copies of a Spatial Pattern

Extract Subset of Linear Network

Hybrid Interaction Point Process Model

Create Pixel Image on Linear Network

model.matrix.ppm

Extract Design Matrix from Point Process Model

Test Whether A Point Process Model is Marked

Intersection, Union or Set Subtraction of Two Windows

Scatterplot Matrix for Pixel Images

Estimate the empty space function F

Generate N Uniform Random Points

Apply Geometrical Transformations to a Linear Network

Midpoints of Line Segment Pattern

Inhomogeneous Neighbourhood Density Function

Combine Two Line Segment Patterns

Foxall's Distance Functions

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Pairwise distances in Three Dimensions

Multitype L-function (cross-type)

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Methods for Multidimensional Space-Time Point Patterns

Apply Affine Transformation

Plot a Fitted Point Process Model on a Linear Network

Third order summary statistic

Plot a three-dimensional point pattern

Extract Subset of Image

Log Likelihood and AIC for Point Process Model

Leverage Measure for Spatial Point Process Model

Fitted Conditional Intensity for Point Process Model

Define Point Process Model for Metropolis-Hastings Simulation.

Murchison gold deposits

Inhomogeneous Multitype K Dot Function

Number of Line Segments in a Line Segment Pattern

Area of a Window

Nearest Neighbour Clutter Removal

Spatial Logistic Regression

Methods for Multi-Dimensional Box

Nearest Neighbour Distances in Any Dimensions

Summarizing a Fitted Point Process Model

Inhomogeneous K-function

Method of Minimum Contrast

Create a Linear Network

Mark Correlation Integral

plot.hyperframe

Plot Entries in a Hyperframe

Plot a Spatial Window

vargamma.estpcf

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

Morphological Opening

Prediction from a Fitted Cluster Point Process Model

Find Line Segment Nearest to Each Point

Convert Line Segment Pattern to Pixel Image

The Area Interaction Point Process Model

Analysis of Deviance for Spatial Logistic Regression Models

Perfect Simulation of the Diggle-Gratton Process

pppmatching.object

Class of Point Matchings

Perimeter Length of Window

Apply Affine Transformation To Window

K-function using FFT

Kernel Smoothing of Line Segment Pattern

Identify Covariates Involved in each Model Term

Inhomogeneous Multitype L Dot Function

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Methods for Fitted Point Process Models on a Linear Network

Harkness-Isham ants' nests data

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

Mark Connection Function

Humberside Data on Childhood Leukaemia and Lymphoma

Linear Pair Correlation Function

Quadrature Scheme Based on Pixel Grid

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Convert Data To Class owin

runifpointOnLines

Generate N Uniform Random Points On Line Segments

The Hard Core Point Process Model

Methods for Spatial Logistic Regression Models

The Triplet Point Process Model

Spherical Contact Distribution Function

edges2triangles

List Triangles in a Graph

Nearest Neighbour Map as a Function

Plot a fitted cluster point process

Inhomogeneous Pair Correlation Function

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

Japanese Pines Point Pattern

Geyer's Saturation Point Process Model

Extract Subset of Signed or Vector Measure

Plot a Signed or Vector-Valued Measure

Generic Pairwise Interaction model

Extract or Replace Subset of Point Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Apply Affine Transformation To Line Segment Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

The Strauss / Hard Core Point Process Model

The Strauss Point Process Model

Extract Subset of Function Values

Nearest neighbour distances between line segments

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

The Fiksel Interaction

Nearest Neighbour Distance Function G

Nearest neighbour

plot.leverage.ppm

Plot Leverage Function

Added Variable Plot for Point Process Model

Estimate the J-function

Extract Subset of Point Pattern on Linear Network

Diggle-Gratton model

Nearest neighbour distances in three dimensions

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

The Multitype Strauss Point Process Model

Intersect Infinite Straight Lines with a Window

Methods for Cluster Point Process Models

Distance Map of Line Segment Pattern

Pair Correlation Function

Pairwise distances

Marks of a Point Pattern

Artificial Data Point Pattern

Pairwise Distances in Any Dimensions

Plot a Spatial Kolmogorov-Smirnov Test

Point and Click Interface for Exploratory Analysis of Point Pattern

Longleaf Pines Point Pattern

Marked Nearest Neighbour Distance Function

Find Largest Circle Inside Window

plot a Fitted Point Process Model

Methods for Point Patterns on a Linear Network

Pair Correlation Function obtained from array of K functions

Convert Spatial Object to Pixel Image

Apply Affine Transformation To Point Pattern

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Linear K Function

Perspective Plot of Pixel Image

Aherne's hamster tumour data

Pair Correlation Function of a Three-Dimensional Point Pattern

plot.influence.ppm

Plot Influence Measure

multiplicity.ppp

Count Multiplicity of Duplicate Points

Nearest Neighbours in Any Dimensions

Point Patterns of New Brunswick Forest Fires

Plot a Function Array

Print News About Latest Version of Package

Extract.layered

Extract Subset of a Layered Object

Morishita Index Plot

Fit Point Process Model to Point Pattern on Linear Network

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Determine Initial State for Metropolis-Hastings Simulation.

Subset of Quadrature Scheme

Nearest Neighbours Between Two Patterns in 3D

The Lennard-Jones Potential

Convert Window to Pixel Image

Fry Plot of Point Pattern

model.frame.ppm

Extract the Variables in a Point Process Model

Methods for Fitted Interactions

Ord Interaction Process Family

Pine saplings in Finland.

Extract or Replace Subset of a List of Things

linearpcfdot.inhom

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

Plot Pixel Image on Linear Network

Multitype J Function (i-to-j)

Hughes' Amacrine Cell Data

Apply Geometrical Transformations to Point Pattern on a Linear Network

Pair Correlation Function of Point Pattern

Empirical Intensity of Point Pattern

Nearest Neighbours Between Two Patterns

Nearest neighbour distances

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Partial Residuals for Point Process Model

Inhomogeneous Linear Pair Correlation Function

Plot a Simulation Envelope

Pairwise distances

Multitype pair correlation function (i-to-any)

Window in Shape of Letter R