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spatstat (version 1.31-3)

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

19,373

Version

1.31-3

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

May 27th, 2013

Functions in spatstat (1.31-3)

Test Whether Object is a Hybrid

Test Whether An Object Is A Window

Methods for three-dimensional point patterns

Bootstrap Confidence Bands for Summary Function

Murchison gold deposits

Methods for Intensity Functions of Spatial Covariate

Nearest neighbours in three dimensions

Scatterplot Matrix for Pixel Images

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Inhomogeneous Pair Correlation Function

Recognise Stationary and Poisson Point Process Models

Plot a Colour Map

Kaplan-Meier and Reduced Sample Estimator using Histograms

Plot a tessellation

Ponderosa Pine Tree Point Pattern

Simulate Gauss-Poisson Process

Multidimensional Space-Time Point Pattern

Create a Linear Network

Prediction from a Fitted Point Process Model

Plot a Fitted Spatial Logistic Regression

Morishita Index Plot

Test Whether a Window is Convex

Print a Quadrature Scheme

Apply Vector Translation To Pixel Image

quadratresample

Resample a Point Pattern by Resampling Quadrats

Fit the Matern Cluster Point Process by Minimum Contrast

Simulate Thomas Process

Set Covariance of a Window

Estimate Variance of Summary Statistic by Subdivision

Smoothing Estimate of Covariate Transformation

Identify Covariates Involved in each Model Term

Pairwise distances between line segments

Signed or Vector-Valued Measure

Convert Spatial Object to Pixel Image

Perspective Plot of Pixel Image

Number of Points in a Point Pattern

Urkiola Woods Point Pattern

Convert Pixel Image to Another Unit of Length

Pixel Values Along a Transect

Determine Initial State for Metropolis-Hastings Simulation.

Smoothed Relative Density of Pairs of Covariate Values

plot.hyperframe

Plot Entries in a Hyperframe

Simulate a Fitted Gibbs Point Process Model

plot a Spatial Point Pattern

Set Control Parameters for Metropolis-Hastings Algorithm.

Three Dimensional Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Vertices of a Window

Class of Point Patterns

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Quadrat counting for a point pattern

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

Print News About Latest Version of Package

matclust.estpcf

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

Nonparametric Estimate of Spatially-Varying Relative Risk

Swedish Pines Point Pattern

Methods for Fitted Point Process Models on a Linear Network

Methods for Multidimensional Space-Time Point Patterns

Plot a Spatial Kolmogorov-Smirnov Test

Pool Data from Several Ratio Objects

Generate Poisson Random Line Process

Test Whether An Object Is A Fitted Point Process Model

Level Set of a Pixel Image

Ord Interaction Process Family

plot.bermantest

Plot Result of Berman Test

Plot a fitted cluster point process

Apply Scalar Dilation

Read Point Pattern From Data File

Sufficient Statistic of Point Process Model

Divide Point Pattern into Sub-patterns

Summary of a List of Things

Perfect Simulation of the Diggle-Gates-Stibbard Process

plot a Spatial Line Segment Pattern

Simulate Matern Model II

Point and Click Interface for Displaying Spatial Data

Mosaic Random Set

Poisson Line Tessellation

Longleaf Pines Point Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Inhomogeneous Linear Pair Correlation Function

Create a Tessellation

Mark Correlation Function

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Distance for a Point Pattern Matching

Summarizing a Quadrature Scheme

Nearest Neighbour Distances in Any Dimensions

Marks of a Line Segment Pattern

Methods for Point Patterns on a Linear Network

model.matrix.ppm

Extract Design Matrix from Point Process Model

Test Whether An Object Is Empty

Nearest neighbour distances between line segments

Lengths of Line Segments

Find Line Segment Nearest to Each Point

Pairwise shortest-path distances between points on a linear network

Pairwise Distances in Any Dimensions

Methods for Spatial Functions

Pair Correlation Function obtained from K Function

Lansing Woods Point Pattern

Test Whether A Point Process Model is Marked

Window in Shape of Letter R

Plot a Signed or Vector-Valued Measure

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Print Brief Details of a Line Segment Pattern Dataset

Create Pixel Image on Linear Network

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Interaction Distance of a Point Process

Japanese Pines Point Pattern

Lurking variable plot

Create Point Pattern on Linear Network

K-th Nearest Point Map

Pair Correlation Function of a Three-Dimensional Point Pattern

Plot a Spatial Window

Compute Disc of Given Radius in Linear Network

Make Periodic Copies of a Spatial Pattern

Mosaic Random Field

Fit Point Process Model to Point Pattern on Linear Network

Plot a plotppm Object Created by plot.ppm

Interpret Fitted Model for Metropolis-Hastings Simulation.

Create a Window

Create a Line Segment Pattern

Perimeter Length of Window

Random Perturbation of a Point Pattern

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Divide Multidimensional Point Pattern into Sub-patterns

Nearest Neighbour Clutter Removal

Sample Quantiles of Pixel Image

Methods for Three-Dimensional Box

Perfect Simulation of the Strauss-Hardcore Process

plot.influence.ppm

Plot Influence Measure

Fit the Thomas Point Process by Minimum Contrast

California Redwoods Point Pattern (Ripley's Subset)

Distance Between Two Point Patterns

Triplet Interaction Family

Nearest neighbour distances

Predicted or Fitted Values from Spatial Logistic Regression

Simulate from a Fitted Point Process Model

Generate Poisson Point Pattern in Any Dimensions

Generate Random Numbers of Points for Cell Process

Class of Quadrature Schemes

Print Brief Details of a Point Pattern Dataset

Cartesian Coordinates for a Pixel Raster

Residuals for Fitted Point Process Model

Poisson Point Process on a Linear Network

Apply Numerical Rounding to Spatial Coordinates

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Evaluate an Expression in a Function Table

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Print Names and Version Numbers of Libraries Loaded

Specify Simulation Window or Expansion Rule

Generate N Random Multitype Points

Rotate a Line Segment Pattern

Generate N Random Points

Spatial Logistic Regression

Uniform Random Points on a Linear Network

Spatial smoothing of observations at irregular points

Detect Numerical Rounding

Simulated Point Pattern

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Randomly Shift a Point Pattern

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Simulate a Fitted Cluster Point Process Model

Record the Computation Time

Generate N Uniform Random Points in Three Dimensions

Determine Type of Window

Determine Whether One Window is Contained In Another

Extract Unique Points from a Spatial Point Pattern

Data Sharpening of Point Pattern

Name for Unit of Length

Test Whether An Object Is A Pixel Image

Create List of Plotting Layers

Test whether Object is Multitype

Inhomogeneous Neighbourhood Density Function

methods.layered

Methods for Layered Objects

Methods for Spatial Logistic Regression Models

Test Whether A Point Pattern is Marked

Marks of a Point Pattern

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Kimboto trees at Paracou, French Guiana

nearest.raster.point

Find Pixel Nearest to a Given Point

Nearest Neighbours in Any Dimensions

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

Pair Correlation Function of Point Pattern

Profile Maximum Pseudolikelihood

rPoissonCluster

Simulate Poisson Cluster Process

Convert Line Segment Pattern to Pixel Image

Plot Pixel Image on Linear Network

Q-Q Plot of Residuals from Fitted Point Process Model

Convert Line Segment Pattern to Another Unit of Length

Reflect In Origin

Reduced Sample Estimator using Histogram Data

Convert Point Pattern to Another Unit of Length

Define Point Process Model for Metropolis-Hastings Simulation.

Data and Code From JRSS Discussion Paper on Residuals

Diggle-Gratton model

Random Thinning

Extract Subset of Linear Network

Define Point Process Model for Metropolis-Hastings Simulation.

Generate grid of parallel lines with random displacement

Galaxies in the Shapley Supercluster

Apply Vector Translation

Point and Click Interface for Exploratory Analysis of Point Pattern

Kaplan-Meier Estimator using Histogram Data

spatstat-package

The Spatstat Package

Linear K Function

Empty Space Function of a Three-Dimensional Point Pattern

Summary of a Line Segment Pattern Dataset

Cut margins from rectangle

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Hybrid Interaction Point Process Model

The Triplet Point Process Model

Cross Validated Bandwidth Selection for Relative Risk Estimation

Coefficients of Fitted Point Process Model

Multitype J Function (i-to-j)

Hughes' Amacrine Cell Data

Method of Minimum Contrast

Extract.layered

Extract Subset of a Layered Object

Nearest Neighbour Map as a Function

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Estimate the empty space function F

Pairwise distances

Distance to Boundary of Window

The Multitype Hard Core Point Process Model

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

pairwise.family

Pairwise Interaction Process Family

Distribution Function of Interpoint Distance

Simulation Envelopes of Summary Function for 3D Point Pattern

Extract or Replace Subset of a List of Things

Apply Expansion Rule

Inhomogeneous Cross Type L Function

Three-Dimensional Box

Distance to Boundary of Window

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Morphological Opening

Extract Subset of Line Segment Pattern

Residual K Function

Difference of Disc Areas

Saturated Pairwise Interaction Point Process Family

clarkevans.test

Clark and Evans Test

plot a Spatial Quadrature Scheme

Convert Data To Class owin

Extract or Replace Subset of Point Pattern

Force Point Process Model to be Valid

Area of Part of Disc

quadrat.test.splitppp

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

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

as.data.frame.im

Convert Pixel Image to Data Frame

Beta Ganglion Cells in Cat Retina, Old Version

compatible.fasp

Test Whether Function Arrays Are Compatible

Convert to Pixel Image on Linear Network

Perfect Simulation of the Hardcore Process

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

Simulate Matern Cluster Process

Pixel Image Approximation of a Window

Basis for Harmonic Functions

Approximate a Polygon by a Simpler Polygon

Extract Subset of Signed or Vector Measure

Reset Values in Subset of Image

Spokes pattern of dummy points

Convert and Compare Colours in Different Formats

Apply Affine Transformation To Pixel Image

Identify Segments in a Line Segment Pattern

Inverse-distance weighted smoothing of observations at irregular points

Find Largest Circle Inside Window

Compute Integral of Function Against Cumulative Distribution

inforder.family

Infinite Order Interaction Family

Determine Duplicated Points in a Spatial Point Pattern

Pool Data from Several Function Arrays

Mark Correlation Integral

Apply Affine Transformation To Line Segment Pattern

Multitype pair correlation function (cross-type)

Number of Line Segments in a Line Segment Pattern

Pairwise distances between two different point patterns

Harkness-Isham ants' nests data

Compute Quadrature Weights Based on Grid Counts

Extract Dummy Points Used to Fit a Point Process Model

Summarizing a Fitted Point Process Model

Plot a Function Array

Interpolate a Pixel Image

Interactively join vertices on a plot

Convert Pixel Image to Matrix

Integral of a Pixel Image

Print a Fitted Point Process Model

Class of Line Segment Patterns

Intersection, Union or Set Subtraction of Two Windows

Simulate Baddeley-Silverman Cell Process

Convert Pixel Image from Numeric to Factor

California Redwoods Point Pattern (Entire Dataset)

Compute Quadratic Forms

Model Formulae for Gibbs Point Process Models

Simulate point patterns using the Metropolis-Hastings algorithm.

Generate N Uniform Random Points in Any Dimensions

Spruces Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

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

Diagnostics for random marking

Trees in Waka national park

Distance to Boundary of Window

Fit Cluster or Cox Point Process Model

K function of a model

ANOVA for Fitted Point Process Models on Linear Network

Leverage Measure for Spatial Point Process Model

Extract Subset of Function Array

Log Likelihood and AIC for Point Process Model

Partial Residuals for Point Process Model

The Lennard-Jones Potential

Subset of Quadrature Scheme

Plot a three-dimensional point pattern

Cross Validated Bandwidth Selection for Spatial Smoothing

Combine Two Line Segment Patterns

Multitype J Function (i-to-any)

Convex Hull of Points

Ord's Interaction model

Marked K-Function

Delaunay Triangulation of Point Pattern

Coefficients of Fitted Spatial Logistic Regression Model

Orientation Angles of Line Segments

Class of Fitted Point Process Models

Extract Subset of Image

Extract or Replace Subset of Tessellation

Pairwise distances

Rotate a Point Pattern

Extract Subset of Point Pattern on Linear Network

Simulate systematic random point pattern

Simulate Stratified Random Point Pattern

Function Arrays for Spatial Patterns

Apply Function to Image Broken Down by Factor

Check Whether Point Process Model is Valid

Apply a Function to a Point Pattern Broken Down by Factor

Humberside Data on Childhood Leukaemia and Lymphoma

Test Whether Objects Are Compatible

Residual G Function

Plot a List of Things

Extract Original Data from a Fitted Point Process Model

Convert Pixel Image to Matrix or Array

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Pairwise distances between two different line segment patterns

Apply Gaussian Blur to a Pixel Image

Connected components

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Third order summary statistic

Test Whether Pixel Images Are Compatible

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

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

Evaluate Expression Involving Pixel Images

Fitted Conditional Intensity for Point Process Model

Fry Plot of Point Pattern

Connected components of a point pattern

Dirichlet Tessellation of Point Pattern

Influenza Virus Proteins

Concatenate x,y Coordinate Vectors

Infinite Straight Lines

edges2triangles

List Triangles in a Graph

Convert Window to Pixel Image

K-function of a Three-Dimensional Point Pattern

Hybrid Interaction Family

Artificial Data Point Pattern

Inhomogeneous K-function

Extract Fitted Point Process Model

Beadlet Anemones Data

Diameter of a Window

Intensity of Fitted Point Process Model

Test Whether Marks Are Present

People in Gordon Square

Border Region of a Window

Convert Data to Numeric Values by Constructing Dummy Variables

Methods for Units

Chicago Street Crime Data

Linear Pair Correlation Function

Residual Diagnostics for Multiple Fitted Models

licence.polygons

Restricted Licence Conditions for Polygon Calculations

Bronze gradient filter data

Hybrid Geyer Point Process Model

Methods for Fitted Interactions

Pairwise distances between two point patterns on a linear network

Create a Point Matching

Castilla-La Mancha Forest Fires

Crossing Points of Two Line Segment Patterns

Apply Affine Transformation

Model Compensator of Nearest Neighbour Function

Rounding of Pixel Values

Compute Images of Constructed Covariates

Diameter of an Object

Cells in Gastric Mucosa

Extract Interaction Structure

Convert to Pixel Image

Volume of an Object

Extract.splitppp

Extract or Replace Sub-Patterns

Clark and Evans Aggregation Index

Areas of Morphological Dilations

Area of a Window

Nearest neighbour

Evaluate Expression Involving Functions

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Create a Point Pattern

Test Whether Points Are Inside A Window

pppmatching.object

Class of Point Matchings

Nearest Neighbour Distance Function G

Optimise Irregular Trend Parameters in Point Process Model

Poisson Point Process Model

Local pair correlation function

Summarise Marks in Every Neighbourhood in a Point Pattern

Simulate Matern Model I

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

The Soft Core Point Process Model

Empirical Intensity of Point Pattern on Linear Network

Areas of Morphological Erosions

Hutchings' Bramble Canes data

multiplicity.ppp

Count Multiplicity of Duplicate Points

The Hard Core Point Process Model

Generic Pairwise Interaction model

Create Colour-Valued Pixel Image

New Zealand Trees Point Pattern

rshift.splitppp

Randomly Shift a List of Point Patterns

Generate N Uniform Random Points in a Disc

model.frame.ppm

Extract the Variables in a Point Process Model

Print Brief Details of an Image

Convert Polygonal Region into Different Format

Prediction from a Fitted Cluster Point Process Model

Extract Subset of Function Values

spatstat-deprecated

Deprecated spatstat functions

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

Generate Multitype Poisson Point Pattern

Calculate Summary Statistic for All Types in a Multitype Point Pattern

summary.splitppp

Summary of a Split Point Pattern

Apply Affine Transformation To Point Pattern

Union of Data and Dummy Points

Scott's Rule for Bandwidth Selection for Kernel Density

Smooth a Signed or Vector-Valued Measure

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Update a Fitted Cluster Point Process Model

Summary of a Point Pattern Dataset

Identify Pixelwise Maximum of Several Pixel Images

Generic Ord Interaction model

Multi-Dimensional Box

Mark Connection Function

Fit the Neyman-Scott cluster process with Cauchy kernel

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Inhomogeneous Nearest Neighbour Function

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

Estimate window from points alone

Spatial Scan Test

Midpoints of Line Segment Pattern

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Lambert's W Function

Model Compensator of K Function

Nearest Neighbours Between Two Patterns

Morphological Erosion

Spherical Contact Distribution Function

Geometrical Calculations for Three-Dimensional Box

Tropical rain forest trees

Pairwise distances in Three Dimensions

Subdivide a Window or Tessellation using a Set of Lines

Distance Map of Window

Convert Data To Class ppp

Fit the Neyman-Scott cluster process with Cauchy kernel

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Quadrature Scheme Based on Pixel Grid

Plot a Simulation Envelope

Test Whether Function Objects Are Compatible

Cross Validated Bandwidth Selection for Kernel Density

Classify Points in a Point Pattern

complement.owin

Take Complement of a Window

Intersect Infinite Straight Lines with a Window

Biological Cells Point Pattern

Hyper Data Frame

ANOVA for Fitted Point Process Models

Plot Function Values

Generate a Default Pattern of Dummy Points

Create a Pixel Image Object

Plot a List of Things

Simulate Log-Gaussian Cox Process

Predict Point Process Model on Linear Network

Perfect Simulation of the Strauss Process

Convolution of Pixel Images

Inhomogeneous Marked K-Function

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

envelope.envelope

Recompute Envelopes

Morphological Closing

Compute Areas of Tiles in a Tessellation

Convert Window to Another Unit of Length

Generate Poisson Point Pattern

Random Re-Labelling of Point Pattern

Divide Image Into Sub-images

Determine A Common Spatial Domain And Pixel Resolution

Analysis of Deviance for Spatial Logistic Regression Models

Convert Data To Tessellation

Corners of a rectangle

Berman-Huntington points and lines data

Pine saplings in Finland.

Colour Lookup Tables

Pairwise distances between two different three-dimensional point patterns

Extract Subset of Window

Endpoints of Line Segment Pattern

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

The Strauss Point Process Model

Distance Map as a Function

Function Value Table

Extract or Change the Plot Formula for a Function Value Table

Convert Data To Class psp

Influence Measure for Spatial Point Process Model

Allard-Fraley Estimator of Cluster Feature

Convert Line Segment Pattern to Binary Pixel Mask

Marked Nearest Neighbour Distance Function

Estimate the J-function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Convert Function Value Table to Function

Identify Points in a Point Pattern

Weighted Empirical Cumulative Distribution Function

Spatial Covariance of a Pixel Image

Locally Scaled K-function

Convert Data to Three-Dimensional Box

Centroid of a window

bounding.box.xy

Convex Hull of Points

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Distance Map of Line Segment Pattern

List Dihedral Triples in a Graph

Histogram of Pixel Values in an Image

Make Pixel Images Compatible

Safely Convert Point Pattern Window to Binary Mask

crossdist.default

Pairwise distances between two different sets of points

Theoretical Distribution of Nearest Neighbour Distance

Neighbourhood density function

Point Patterns of New Brunswick Forest Fires

Plot a linear network

Plot a Pixel Image

Print Brief Details of a Spatial Window

Pool Data from Several Envelopes

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Simulate Simple Sequential Inhibition

Rotate a Pixel Image

Inhomogeneous Multitype K Dot Function

scaletointerval

Rescale Data to Lie Between Specified Limits

Apply Vector Translation To Window

Simulate a Fitted Spatial Logistic Regression Model

Summary of a Spatial Window

Inhomogeneous Cross K Function

K-function using FFT

Weighted kernel smoother

Chorley-Ribble Cancer Data

Interactively Add Points

Extract the Interaction from a Fitted Point Process Model

Evaluate Expression Involving Function Arrays

Gorilla Nesting Sites

Scots pines and other trees at Hyytiala

Intersection of Two Tessellations

Test Whether An Object Is A Point Pattern

Extract or Replace the Plot Arguments of a Layered Object

Plot a List of Point Patterns

Inhomogeneous Empty Space Function

Inhomogeneous Linear K Function

Empirical Intensity of Point Pattern

Apply Geometrical Transformations to a Linear Network

Methods for Cluster Point Process Models

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

The Piecewise Constant Pairwise Interaction Point Process Model

Pair Correlation Function obtained from array of K functions

Dummy Function Returns Number of Points

Convert Point Pattern to Pixel Image

plot.leverage.ppm

Plot Leverage Function

Morphological Dilation

Pairwise distances

plot a Fitted Point Process Model

The Area Interaction Point Process Model

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

Place Points Evenly Along Specified Lines

Divide Region into Quadrats

Generate a Quadrature Scheme from a Point Pattern

Beta Ganglion Cells in Cat Retina

Pseudoscore Diagnostic For Fitted Model against General Alternative

Simulate Neyman-Scott Process

Geometrical Calculations for Multi-Dimensional Box

Multitype L-function (cross-type)

Marked J Function

pool.quadrattest

Pool Several Quadrat Tests

Apply Smoothing to Function Values

Aherne's hamster tumour data

Fit the Thomas Point Process by Minimum Contrast

spatstat-internal

Internal spatstat functions

Test Expansion Rule

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Loglikelihood of Spatial Logistic Regression

Methods for Multi-Dimensional Box

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Nearest neighbour distances in three dimensions

Multitype pair correlation function (i-to-any)

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

The Fiksel Interaction

Inhomogeneous J-function

Bandwidth Selection Based on Window Geometry

Difference of Disc Areas

Collapse Several Function Tables into One

Inhomogeneous Multitype L Dot Function

Interactively Define a Polygon

Default Expansion Rule for Simulation of Model

Apply Affine Transformation To Window

Added Variable Plot for Point Process Model

Bounding Box of a Window or Point Pattern

Parameter influence measure

delaunay.distance

Distance on Delaunay Triangulation

Convert a Window to a Polygonal Window

Fitted Probabilities for Spatial Logistic Regression

Diggle's Heather Data

Rectangular grid of points

Create a Function Value Table

Exponential Energy Marks

Simple Example of Linear Network

pairdist.default

Pairwise distances

Fit Point Process Model to Data

project2segment

Move Point To Nearest Line

Perfect Simulation of the Diggle-Gratton Process

Generate Poisson Point Pattern on Line Segments

rescue.rectangle

Convert Window Back To Rectangle

Generate N Uniform Random Points

Apply Vector Translation To Point Pattern

Apply Vector Translation To Line Segment Pattern

spatstat.options

Internal Options in Spatstat Package

Superimpose Several Geometric Patterns

Extract Subset of Multidimensional Point Pattern

Saturated Pairwise Interaction model

Estimate the I-function

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Geyer's Saturation Point Process Model

Multitype K Function (Cross-type)

Combine Function Value Tables

The Connected Component Process Model

Foxall's Distance Functions

Exchange X and Y Coordinates

Envelope for Point Patterns on Linear Network

Intensity of a Dataset or a Model

The Strauss / Hard Core Point Process Model

Calculate four standard summary functions of a point pattern.

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Methods for Linear Networks

Pair Correlation Function

Weighted Histogram

Print Progress Reports

Extract Quadrature Scheme Used to Fit a Point Process Model

Convert dataset to another unit of length

Rotate a Window

Randomly Shift a Line Segment Pattern

Extract List of Tiles in a Tessellation

vargamma.estpcf

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

Apply Geometrical Transformations to Point Pattern on a Linear Network

Multitype L-function (i-to-any)

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Simulation Envelopes of Summary Function

Apply Function to Every Neighbourhood in a Point Pattern

Kernel Smoothed Intensity of Point Pattern

Spatial Function Class

Contour plot of pixel image

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Generate Poisson Point Pattern in Three Dimensions

Multitype K Function (i-to-any)

The Multitype Strauss Point Process Model

Reduced Second Moment Measure

Circumradius and Diameter of a Linear Network

Distance Map of Point Pattern

Berman's Tests for Point Process Model

Kernel Smoothing of Line Segment Pattern

Diagnostic Plots for Fitted Point Process Model

Class of Images

Circular Window

Convert Data to Hyperframe

Summarizing a Pixel Image

Update a Fitted Point Process Model