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spatstat (version 1.25-5)

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

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

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Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.25-5

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 14th, 2012

Functions in spatstat (1.25-5)

Neighbourhood density function

Log Likelihood and AIC for Point Process Model

Methods for Intensity Functions of Spatial Covariate

pairwise.family

Pairwise Interaction Process Family

Divide Region into Quadrats

Convert Point Pattern to Another Unit of Length

Linear Pair Correlation Function

Signed or Vector-Valued Measure

Simulate a Fitted Spatial Logistic Regression Model

Local pair correlation function

Convert Spatial Object to Pixel Image

Spokes pattern of dummy points

Plot a List of Point Patterns

Nearest neighbour

Inhomogeneous Linear K Function

Methods for three-dimensional point patterns

Summarizing a Pixel Image

Cartesian Coordinates for a Pixel Raster

Pairwise distances

Pair Correlation Function of Point Pattern

Residuals for Fitted Point Process Model

Nearest Neighbour Distances in Any Dimensions

Simulated Point Pattern

Inhomogeneous Neighbourhood Density Function

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

plot a Spatial Point Pattern

Sample Quantiles of Pixel Image

Generate Poisson Point Pattern in Three Dimensions

Perspective Plot of Pixel Image

Plot a Fitted Spatial Logistic Regression

Swedish Pines Point Pattern

Three Dimensional Point Pattern

Create a Tessellation

Convert dataset to another unit of length

Print Progress Reports

Generate a Quadrature Scheme from a Point Pattern

Mark Correlation Function

California Redwoods Point Pattern (Ripley's Subset)

Print a Fitted Point Process Model

Simulate Matern Model II

Extract Unique Points from a Spatial Point Pattern

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Marks of a Line Segment Pattern

Generate Multitype Poisson Point Pattern

Plot Pixel Image on Linear Network

Methods for Multidimensional Space-Time Point Patterns

Plot a Colour Map

Loglikelihood of Spatial Logistic Regression

Point Patterns of New Brunswick Forest Fires

Data and Code From JRSS Discussion Paper on Residuals

Reduced Sample Estimator using Histogram Data

Interaction Distance of a Point Process

Simulate Stratified Random Point Pattern

Spatial Scan Test

Method of Minimum Contrast

Methods for Multi-Dimensional Box

Define Point Process Model for Metropolis-Hastings Simulation.

Dummy Function Returns Number of Points

Plot a Spatial Kolmogorov-Smirnov Test

Poisson Point Process on a Linear Network

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Distance for a Point Pattern Matching

Random Thinning

Divide Point Pattern into Sub-patterns

Apply Vector Translation To Line Segment Pattern

Methods for Fitted Point Process Models on a Linear Network

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

Apply Vector Translation

Plot a Spatial Window

Weighted kernel smoother

Methods for Point Patterns on a Linear Network

Predicted or Fitted Values from Spatial Logistic Regression

multiplicity.ppp

Count Multiplicity of Duplicate Points

Apply Vector Translation To Pixel Image

Place Points Evenly Along Specified Lines

Make Periodic Copies of a Spatial Pattern

Create Point Pattern on Linear Network

Pairwise distances between line segments

Interpret Fitted Model for Metropolis-Hastings Simulation.

Plot a three-dimensional point pattern

Convert Pixel Image to Another Unit of Length

Inhomogeneous Cross Type L Function

Simple Example of Linear Network

Print Brief Details of a Line Segment Pattern Dataset

Set Covariance of a Window

Summarise Marks in Every Neighbourhood in a Point Pattern

Vertices of a Window

Create a Line Segment Pattern

Plot a Signed or Vector-Valued Measure

Identify Pixelwise Maximum of Several Pixel Images

Marked J Function

Pool Data from Several Ratio Objects

Lurking variable plot

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Fit Point Process Model to Data

Print Brief Details of a Spatial Window

project2segment

Move Point To Nearest Line

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

Profile Maximum Pseudolikelihood

Methods for Linear Networks

Rotate a Window

Convert Data To Class psp

Inhomogeneous K-function

Pairwise shortest-path distances between points on a linear network

Print Brief Details of a Point Pattern Dataset

Quadrat counting for a point pattern

Apply Function to Every Neighbourhood in a Point Pattern

Class of Quadrature Schemes

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Perfect Simulation of the Hardcore Process

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Print Brief Details of an Image

Define Point Process Model for Metropolis-Hastings Simulation.

Spatial Logistic Regression

Plot a fitted cluster point process

Approximate a Polygon by a Simpler Polygon

spatstat-internal

Internal spatstat functions

Print a Quadrature Scheme

K-function using FFT

Class of Fitted Point Process Models

Extract Quadrature Scheme Used to Fit a Point Process Model

Simulate Matern Model I

Sufficient Statistic of Point Process Model

Area of a Window

Summarizing a Fitted Point Process Model

Perfect Simulation of the Strauss-Hardcore Process

Compute Areas of Tiles in a Tessellation

Spruces Point Pattern

Difference of Disc Areas

Convert Window to Another Unit of Length

Scatterplot Matrix for Pixel Images

Pairwise Distances in Any Dimensions

matclust.estpcf

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

Nearest neighbours in three dimensions

Smoothing Estimate of Covariate Transformation

Multitype pair correlation function (cross-type)

Beta Ganglion Cells in Cat Retina, Old Version

Plot a Function Array

Simulate Neyman-Scott Process

Simulate Gauss-Poisson Process

Summary of a Point Pattern Dataset

Theoretical Distribution of Nearest Neighbour Distance

Identify Points in a Point Pattern

Plot Function Values

Reset Values in Subset of Image

Simulate Thomas Process

Create a Pixel Image Object

rPoissonCluster

Simulate Poisson Cluster Process

Plot a tessellation

Convert Line Segment Pattern to Pixel Image

Coefficients of Fitted Point Process Model

Create Colour-Valued Pixel Image

Determine Initial State for Metropolis-Hastings Simulation.

Extract Interaction Structure

Apply Smoothing to Function Values

Fit the Matern Cluster Point Process by Minimum Contrast

Rotate a Point Pattern

plot.influence.ppm

Plot Influence Measure

Mark Correlation Integral

Biological Cells Point Pattern

Fit Point Process Model to Point Pattern on Linear Network

Randomly Shift a Point Pattern

Interactively join vertices on a plot

Simulate systematic random point pattern

Murchison gold deposits

Function Value Table

Uniform Random Points on a Linear Network

Prediction from a Fitted Cluster Point Process Model

Create a Point Pattern

Spatial smoothing of observations at irregular points

Nearest neighbour distances between line segments

Galaxies in the Shapley Supercluster

Weighted Histogram

vargamma.estpcf

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

Summary of a List of Things

Perfect Simulation of the Strauss Process

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Superimpose Several Geometric Patterns

Aherne's hamster tumour data

Test Whether An Object Is A Window

Concatenate x,y Coordinate Vectors

Generate N Random Points

Rounding of Pixel Values

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Apply Vector Translation To Point Pattern

Morphological Erosion

Subdivide a Window or Tessellation using a Set of Lines

Evaluate Expression Involving Pixel Images

Simulate a Fitted Cluster Point Process Model

Hyper Data Frame

Simulation Envelopes of Summary Function

Third order summary statistic

Difference of Disc Areas

Apply a Function to a Point Pattern Broken Down by Factor

New Zealand Trees Point Pattern

Morphological Opening

Saturated Pairwise Interaction Point Process Family

Beadlet Anemones Data

Plot a Simulation Envelope

Quadrature Scheme Based on Pixel Grid

Inhomogeneous Cross K Function

ANOVA for Fitted Point Process Models on Linear Network

Generate a Default Pattern of Dummy Points

Determine A Common Spatial Domain And Pixel Resolution

Create a Function Value Table

Create Pixel Image on Linear Network

Pairwise distances between two different point patterns

Urkiola Woods Point Pattern

Multitype J Function (i-to-j)

Model Compensator of K Function

Chorley-Ribble Cancer Data

model.frame.ppm

Extract the Environment of a Point Process Model

Morishita Index Plot

Kernel Smoothed Intensity of Point Pattern

Crossing Points of Two Line Segment Patterns

Nearest Neighbour Distance Function G

model.matrix.ppm

Extract Design Matrix from Point Process Model

Multitype K Function (i-to-any)

Circumradius and Diameter of a Linear Network

Circular Window

Fit Cluster or Cox Point Process Model

plot a Fitted Point Process Model

The Hard Core Point Process Model

Convert Data To Class owin

Force Point Process Model to be Valid

Diameter of an Object

K-function of a Three-Dimensional Point Pattern

Interpolate a Pixel Image

Q-Q Plot of Residuals from Fitted Point Process Model

Delaunay Triangulation of Point Pattern

Prediction from a Fitted Point Process Model

Residual Diagnostics for Multiple Fitted Models

Methods for Cluster Point Process Models

Extract Dummy Points Used to Fit a Point Process Model

Convert Pixel Image from Numeric to Factor

Generate N Random Multitype Points

Convert Polygonal Region into Different Format

Fit the Neyman-Scott cluster process with Cauchy kernel

Multitype L-function (cross-type)

Fry Plot of Point Pattern

Spatial Covariance of a Pixel Image

Convert Data to Numeric Values by Constructing Dummy Variables

Distance Map as a Function

Centroid of a window

Pine saplings in Finland.

pairdist.default

Pairwise distances

Identify Segments in a Line Segment Pattern

Morphological Dilation

Locally Scaled K-function

Perimeter Length of Window

Analysis of Deviance for Spatial Logistic Regression Models

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

Convert Data to Three-Dimensional Box

Random Perturbation of a Point Pattern

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Expand Window By Factor

Evaluate Expression Involving Functions

ANOVA for Fitted Point Process Models

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

The Multitype Strauss Point Process Model

Diameter of a Window

Convert Data To Tessellation

Exponential Energy Marks

Generate N Uniform Random Points in Three Dimensions

Poisson Point Process Model

Extract Original Data from a Fitted Point Process Model

Methods for Spatial Logistic Regression Models

Window in Shape of Letter R

Cross Validated Bandwidth Selection for Kernel Density

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

Test Whether An Object Is A Pixel Image

compatible.fasp

Test Whether Function Arrays Are Compatible

Check Whether Point Process Model is Valid

Pixel Image Approximation of a Window

Marked K-Function

plot.bermantest

Plot Result of Berman Test

Estimate the J-function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Distance to Boundary of Window

Inverse-distance weighted smoothing of observations at irregular points

Intersect Infinite Straight Lines with a Window

Saturated Pairwise Interaction model

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

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Coefficients of Fitted Spatial Logistic Regression Model

nearest.raster.point

Find Pixel Nearest to a Given Point

Multitype K Function (Cross-type)

Test Whether Pixel Images Are Compatible

Create a Point Matching

Safely Convert Point Pattern Window to Binary Mask

Inhomogeneous Multitype K Dot Function

Methods for Units

Midpoints of Line Segment Pattern

Point and Click Interface for Exploratory Analysis of Point Pattern

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Convert Window to Pixel Image

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Orientation Angles of Line Segments

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Residual G Function

plot a Spatial Line Segment Pattern

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Predict Point Process Model on Linear Network

Simulate Log-Gaussian Cox Process

Berman's Tests for Point Process Model

Mosaic Random Set

Linear K Function

The Triplet Point Process Model

Apply Affine Transformation To Window

Pairwise distances between two different line segment patterns

Perfect Simulation of the Diggle-Gratton Process

Convert Function Value Table to Function

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

Pairwise distances in Three Dimensions

as.data.frame.im

Convert Pixel Image to Data Frame

Convert a Window to a Polygonal Window

rescue.rectangle

Convert Window Back To Rectangle

Geometrical Calculations for Three-Dimensional Box

Test Whether a Window is Convex

Function Arrays for Spatial Patterns

Hughes' Amacrine Cell Data

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

Pair Correlation Function obtained from K Function

Convert Point Pattern to Pixel Image

Three-Dimensional Box

Clark and Evans Aggregation Index

Distance to Boundary of Window

Generic Ord Interaction model

Test Whether An Object Is A Fitted Point Process Model

Japanese Pines Point Pattern

Compute Expansion Window for Simulation

Lansing Woods Point Pattern

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Interactively Add Points

Simulate from a Fitted Point Process Model

Methods for Three-Dimensional Box

Create a Linear Network

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Morphological Closing

Collapse Several Function Tables into One

Generate Poisson Point Pattern in Any Dimensions

Update a Fitted Cluster Point Process Model

Apply Affine Transformation To Point Pattern

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Infinite Straight Lines

Pairwise distances

Dirichlet Tessellation of Point Pattern

Connected components of an image or window

Colour Lookup Tables

envelope.envelope

Recompute Envelopes

Divide Image Into Sub-images

plot.hyperframe

Plot Entries in a Hyperframe

Geometrical Calculations for Multi-Dimensional Box

Kernel Smoothing of Line Segment Pattern

Influence Measure for Spatial Point Process Model

Areas of Morphological Dilations

Extract.splitppp

Extract or Replace Sub-Patterns

Generate Poisson Random Line Process

spatstat-deprecated

Deprecated spatstat functions

Marks of a Point Pattern

Apply Gaussian Blur to a Pixel Image

Intersection, Union or Set Subtraction of Two Windows

Rotate a Line Segment Pattern

Distance to Boundary of Window

clarkevans.test

Clark and Evans Test

Update a Fitted Point Process Model

Test whether Object is Multitype

Extract Subset of Function Array

Test Whether An Object Is A Point Pattern

Foxall's Distance Functions

Volume of an Object

Spherical Contact Distribution Function

Distance Map of Point Pattern

Estimate the empty space function F

Test Whether Objects Are Compatible

Extract Subset of Signed or Vector Measure

rshift.splitppp

Randomly Shift a List of Point Patterns

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Create a Window

Determine Duplicated Points in a Spatial Point Pattern

Convex Hull of Points

Cross Validated Bandwidth Selection for Relative Risk Estimation

Contour plot of pixel image

Level Set of a Pixel Image

Diagnostics for random marking

Generate N Uniform Random Points

Data Sharpening of Point Pattern

Convert Line Segment Pattern to Binary Pixel Mask

Artificial Data Point Pattern

Nonparametric Estimate of Spatially-Varying Relative Risk

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Simulate a Fitted Gibbs Point Process Model

Extract Subset of Image

Summarizing a Quadrature Scheme

Chicago Street Crime Data

Generate N Uniform Random Points in a Disc

Diggle's Heather Data

Parameter influence measure

Kolmogorov-Smirnov Test for Point Process Model

summary.splitppp

Summary of a Split Point Pattern

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Poisson Line Tessellation

Kaplan-Meier and Reduced Sample Estimator using Histograms

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Simulate Matern Cluster Process

Plot a linear network

Fit the Thomas Point Process by Minimum Contrast

Extract Subset of Line Segment Pattern

Test Whether Marks Are Present

Extract or Replace Subset of Point Pattern

plot.leverage.ppm

Plot Leverage Function

Geyer's Saturation Point Process Model

Tropical rain forest trees

Pool Data from Several Function Arrays

Class of Point Patterns

Multitype L-function (i-to-any)

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Convert Pixel Image to Matrix

Multitype pair correlation function (i-to-any)

The Soft Core Point Process Model

Diagnostic Plots for Fitted Point Process Model

Class of Line Segment Patterns

Simulate Simple Sequential Inhibition

Simulate point patterns using the Metropolis-Hastings algorithm.

Set Control Parameters for Metropolis-Hastings Algorithm.

The Area Interaction Point Process Model

Empty Space Function of a Three-Dimensional Point Pattern

Evaluate an Expression in a Function Table

Convert and Compare Colours in Different Formats

crossdist.default

Pairwise distances between two different sets of points

Test Whether A Point Process Model is Marked

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Multi-Dimensional Box

Plot a List of Things

Model Formulae for Gibbs Point Process Models

Classify Points in a Point Pattern

Integral of a Pixel Image

Envelope for Point Patterns on Linear Network

Gorilla Nesting Sites

Rectangular grid of points

Weighted Empirical Cumulative Distribution Function

Apply Affine Transformation To Line Segment Pattern

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

The Lennard-Jones Potential

Find Largest Circle Inside Window

Harkness-Isham ants' nests data

The Strauss / Hard Core Point Process Model

Convert Line Segment Pattern to Another Unit of Length

The Piecewise Constant Pairwise Interaction Point Process Model

bounding.box.xy

Convex Hull of Points

California Redwoods Point Pattern (Entire Dataset)

K function of a model

Interactively Define a Polygon

Estimate Variance of Summary Statistic by Subdivision

Combine Function Value Tables

Inhomogeneous Linear Pair Correlation Function

Evaluate Expression Involving Function Arrays

Number of Points in a Point Pattern

Fitted Probabilities for Spatial Logistic Regression

Areas of Morphological Erosions

Test Whether A Point Pattern is Marked

plot a Spatial Quadrature Scheme

Mosaic Random Field

Hutchings' Bramble Canes data

Humberside Data on Childhood Leukaemia and Lymphoma

Bounding Box of a Window or Point Pattern

Border Region of a Window

Bronze gradient filter data

complement.owin

Take Complement of a Window

Kaplan-Meier Estimator using Histogram Data

Generate grid of parallel lines with random displacement

Optimise Irregular Trend Parameters in Point Process Model

Generate Poisson Point Pattern on Line Segments

Histogram of Pixel Values in an Image

Generate N Uniform Random Points in Any Dimensions

Leverage Measure for Spatial Point Process Model

Fit the Thomas Point Process by Minimum Contrast

Name for Unit of Length

Print News About Latest Version of Package

The Strauss Point Process Model

methods.distfun

Methods for Distance Functions

Marked Nearest Neighbour Distance Function

Nearest Neighbour Clutter Removal

Subset of Quadrature Scheme

Hybrid Geyer Point Process Model

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Convert Data to Hyperframe

Estimate the I-function

Corners of a rectangle

Residual K Function

Pseudoscore Diagnostic For Fitted Model against General Alternative

Make Pixel Images Compatible

Intersection of Two Tessellations

Recognise Stationary and Poisson Point Process Models

Test Whether Points Are Inside A Window

Class of Images

Create List of Plotting Layers

Ord's Interaction model

Longleaf Pines Point Pattern

Plot a List of Things

Nearest neighbour distances

Ord Interaction Process Family

Multidimensional Space-Time Point Pattern

Smoothed Relative Density of Pairs of Covariate Values

Estimate window from points alone

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Randomly Shift a Line Segment Pattern

spatstat-package

The Spatstat Package

Pair Correlation Function

Extract List of Tiles in a Tessellation

Compute Quadratic Forms

Compute Integral of Function Against Cumulative Distribution

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Extract Subset of Function Values

Diggle-Gratton model

Calculate four standard summary functions of a point pattern.

The Multitype Hard Core Point Process Model

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Simulation Envelopes of Summary Function for 3D Point Pattern

Exchange X and Y Coordinates

Berman-Huntington points and lines data

Compute Quadrature Weights Based on Grid Counts

Fit the Neyman-Scott cluster process with Cauchy kernel

Beta Ganglion Cells in Cat Retina

Pairwise distances between two different three-dimensional point patterns

Test Whether An Object Is Empty

Influenza Virus Proteins

Pair Correlation Function obtained from array of K functions

Inhomogeneous Pair Correlation Function

Scott's Rule for Bandwidth Selection for Kernel Density

Compute Disc of Given Radius in Linear Network

Nearest neighbour distances in three dimensions

Identify Covariates Involved in each Model Term

Plot a Pixel Image

Ponderosa Pine Tree Point Pattern

Simulate Baddeley-Silverman Cell Process

Generate Poisson Point Pattern

scaletointerval

Rescale Data to Lie Between Specified Limits

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

Summary of a Line Segment Pattern Dataset

Convert to Pixel Image

Area of Part of Disc

Stoyan's Rule of Thumb for Bandwidth Selection

Lengths of Line Segments

inforder.family

Infinite Order Interaction Family

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Distance Map of Line Segment Pattern

The Fiksel Interaction

Cross Validated Bandwidth Selection for Spatial Smoothing

Test Whether Function Objects Are Compatible

Model Compensator of Nearest Neighbour Function

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Extract or Replace Subset of Tessellation

Triplet Interaction Family

Reduced Second Moment Measure

Inhomogeneous Multitype L Dot Function

Number of Line Segments in a Line Segment Pattern

edges2triangles

List Triangles in a Graph

Convert Data To Class ppp

Extract or Replace Subset of a List of Things

Multitype J Function (i-to-any)

Distance Map of Window

Perfect Simulation of the Diggle-Gates-Stibbard Process

Compute Images of Constructed Covariates

Apply Affine Transformation

Find Line Segment Nearest to Each Point

Apply Vector Translation To Window

Smooth a Signed or Vector-Valued Measure

Union of Data and Dummy Points

spatstat.options

Internal Options in Spatstat Package

Mark Connection Function

Generic Pairwise Interaction model

pppmatching.object

Class of Point Matchings

Variance-Covariance Matrix for a Fitted Point Process Model

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Combine Two Line Segment Patterns

Convert Pixel Image to Matrix or Array

Apply Function to Image Broken Down by Factor

Endpoints of Line Segment Pattern

Extract the Interaction from a Fitted Point Process Model

Fitted Conditional Intensity for Point Process Model

Basis for Harmonic Functions

Point and Click Interface for Displaying a Point Pattern

Determine Whether One Window is Contained In Another

Nearest Neighbours Between Two Patterns

Pairwise distances

Pair Correlation Function of a Three-Dimensional Point Pattern

Plot a plotppm Object Created by plot.ppm

Pool Data from Several Envelopes

Distance Between Two Point Patterns

quadratresample

Resample a Point Pattern by Resampling Quadrats

Random Re-Labelling of Point Pattern

Read Point Pattern From Data File

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

Cut margins from rectangle

Summary of a Spatial Window

Nearest Neighbours in Any Dimensions