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spatstat (version 1.38-1)

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

17,668

Version

1.38-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

August 28th, 2014

Functions in spatstat (1.38-1)

Hybrid Geyer Point Process Model

Inhomogeneous Empty Space Function

Extract.influence.ppm

Extract Subset of Influence Object

Extract or Change the Containing Rectangle of a Spatial Object

Diagnostics for random marking

Diggle-Gratton model

Extract.hyperframe

Extract or Replace Subset of Hyperframe

Extract Subset of Point Pattern on Linear Network

Extract Subset of Signed or Vector Measure

The Area Interaction Point Process Model

Extract Subset of Line Segment Pattern

Estimate the empty space function F

Extract Subset of Multidimensional Point Pattern

Marked J Function

Extract or Replace Subset of Point Pattern

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

Extract or Replace Subset of Tessellation

Extract Subset of Image

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

The Fiksel Interaction

Nearest Neighbour Distance Function G

Inhomogeneous Multitype K Dot Function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Extract.splitppp

Extract or Replace Sub-Patterns

Residual K Function

Spatial smoothing of observations at irregular points

Subset of Quadrature Scheme

Multitype K Function (Cross-type)

Multitype J Function (i-to-j)

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

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

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Inhomogeneous Multitype L Dot Function

Beadlet Anemones Data

The Multitype Strauss Point Process Model

K Function or Pair Correlation Function of a Point Process Model

The Strauss / Hard Core Point Process Model

Extract Interaction Structure

Marked Nearest Neighbour Distance Function

Extract or Change the Window of a Spatial Object

Multitype J Function (i-to-any)

Inhomogeneous Cross K Function

Inhomogeneous Nearest Neighbour Function

The Lennard-Jones Potential

Distance to Boundary of Window

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Lambert's W Function

Estimate the J-function

Poisson Point Process Model

Print Introduction For Beginners

Convert Line Segment Pattern to Binary Pixel Mask

Extract Subset of Window

Geyer's Saturation Point Process Model

Harkness-Isham ants' nests data

Model Compensator of Nearest Neighbour Function

Generic Pairwise Interaction model

Smooth a Signed or Vector-Valued Measure

Residual G Function

Model Compensator of K Function

Apply Geometrical Transformation To Tessellation

The Connected Component Process Model

The Triplet Point Process Model

Extract.layered

Extract Subset of a Layered Object

Convert Data to a Point Pattern on a Linear Network

as.data.frame.im

Convert Pixel Image to Data Frame

Area of a Window

Calculate four standard summary functions of a point pattern.

Sector K-function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

The Hard Core Point Process Model

Smooth Interpolation of Marks as a Spatial Function

Extract Window of Spatial Object

Interactively join vertices on a plot

Reduced Second Moment Measure

ANOVA for Fitted Point Process Models on Linear Network

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

ANOVA for Fitted Point Process Models

Interactively Add Points

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Combine Function Value Tables

Multitype K Function (i-to-any)

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Multitype L-function (i-to-any)

Apply Affine Transformation To Point Pattern

Marked K-Function

Extract Subset of Linear Network

Foxall's Distance Functions

Geometrical Calculations for Three-Dimensional Box

K Function or Pair Correlation Function of Gibbs Point Process model

The Multitype Hard Core Point Process Model

Inhomogeneous Marked K-Function

K-function using FFT

Inhomogeneous Cross Type L Function

Generic Ord Interaction model

The Piecewise Constant Pairwise Interaction Point Process Model

Convert Data To Class owin

Reset Values in Subset of Image

Saturated Pairwise Interaction model

Apply Affine Transformation

Multi-Dimensional Box

Bandwidth Selection Based on Window Geometry

Hughes' Amacrine Cell Data

Bronze gradient filter data

Spherical Contact Distribution Function

Convert Data to Hyperframe

Extract or Replace Subset of a List of Things

Three-Dimensional Box

K-function of a Three-Dimensional Point Pattern

Extract or Replace Subset of Function Values

Estimate the I-function

Tropical rain forest trees

Pixel Image Approximation of a Window

Apply Affine Transformation To Window

Apply a Function to a Point Pattern Broken Down by Factor

Empty Space Function of a Three-Dimensional Point Pattern

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Hybrid Interaction Point Process Model

Apply Geometrical Transformations to a Linear Network

Third order summary statistic

Convert Data To Tessellation

Apply Affine Transformation To Line Segment Pattern

Distance to Boundary of Window

Colour Lookup Tables

Circular Window

Apply Gaussian Blur to a Pixel Image

Bounding Box of a Window, Image, or Point Pattern

Diameter of a Window

Corners of a rectangle

Create Colour Scheme for a Range of Numbers

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Convert Data to Three-Dimensional Box

Spatial Distribution Test for Point Pattern or Point Process Model

Morphological Dilation

Pairwise distances between two different point patterns

Chorley-Ribble Cancer Data

Cross Validated Bandwidth Selection for Relative Risk Estimation

compatible.fasp

Test Whether Function Arrays Are Compatible

Coefficients of Fitted Spatial Logistic Regression Model

Coefficients of Point Process Model Fitted to Multiple Point Patterns

Apply Geometrical Transformations to Point Pattern on a Linear Network

Pairwise distances

Close Pairs of Points

Convert Data To Class fv

Plot a List of Things

Berman's Tests for Point Process Model

Cross Validated Bandwidth Selection for Kernel Density

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Hutchings' Bramble Canes data

Difference of Disc Areas

Convert and Compare Colours in Different Formats

Centroid of a window

Cross Validated Bandwidth Selection for Spatial Smoothing

Pairwise distances between two different line segment patterns

Distance Map as a Function

Fill Plot With Texture

Determine Duplicated Points in a Spatial Point Pattern

Chicago Street Crime Data

Convert Data To Class ppp

Spatial smoothing of data

Connected components

Border Region of a Window

Residual Diagnostics for Multiple Fitted Models

Convert Pixel Image to Matrix

Dirichlet Tessellation of Point Pattern

Castilla-La Mancha Forest Fires

Biological Cells Point Pattern

Concatenate x,y Coordinate Vectors

Morphological Erosion

The Soft Core Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

Test Whether Objects Are Compatible

Locally Scaled K-function

Convert Data To Layered Object

Convex Hull of Points

Likelihood Cross Validation Bandwidth Selection for Kernel Density

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

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Coefficients of Fitted Point Process Model

complement.owin

Take Complement of a Window

Class of Images

Contour plot of pixel image

Intersect Infinite Straight Lines with a Window

delaunay.distance

Distance on Delaunay Triangulation

Improve Intensity Estimate of Fitted Cluster Point Process Model

Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution

Ripley's Isotropic Edge Correction

Extract or Change the Plot Formula for a Function Value Table

Test Whether An Object Is A Window

Collapse Several Function Tables into One

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

Distance Map of Line Segment Pattern

Orientation Angles of Line Segments

edges2triangles

List Triangles in a Graph

Convert Function Value Table to Function

Convert Pixel Image to Matrix or Array

Connected components of a point pattern

Classify Points in a Point Pattern

Extract Fitted Point Process Model

Determine A Common Spatial Domain And Pixel Resolution

Distance to Boundary of Window

Convert Data To Class psp

Apply Function to Every Neighbourhood in a Point Pattern

Subdivide a Window or Tessellation using a Set of Lines

Morphological Closing

Inhomogeneous J-function

Areas of Morphological Erosions

Extract the Domain of any Spatial Object

Parameter influence measure

crossdist.default

Pairwise distances between two different sets of points

Apply Smoothing to Function Values

Analysis of Deviance for Spatial Logistic Regression Models

Test Whether Function Objects Are Compatible

Influenza Virus Proteins

Test Whether Pixel Images Are Compatible

Generate a Default Pattern of Dummy Points

The Strauss Point Process Model

Empirical Intensity of Point Pattern on Linear Network

Inhomogeneous K-function

Pairwise distances between two different three-dimensional point patterns

Make Pixel Images Compatible

Added Variable Plot for Point Process Model

Determine Type of Window

Areas of Morphological Dilations

Exponential Energy Marks

Spatial Covariance of a Pixel Image

Gorilla Nesting Sites

Combine Two Line Segment Patterns

Fit the Neyman-Scott cluster process with Cauchy kernel

Test Whether An Object Is A Point Pattern

Find Largest Circle Inside Window

Longleaf Pines Point Pattern

Recognise Fitted Determinantal Point Process Models

Progress Plot of Test of Spatial Pattern

envelope.envelope

Recompute Envelopes

Evaluate Expression Involving Functions

Extract Original Data from a Fitted Point Process Model

Elliptical Window.

Circumradius and Diameter of a Linear Network

Ord's Interaction model

Fit Point Process Model Involving Irregular Trend Parameters

Integral of a Pixel Image

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

clarkevans.test

Clark and Evans Test

Test Whether A Point Process Model is Marked

Infinite Straight Lines

Foo is Not a Variable

Model Formulae for Gibbs Point Process Models

Interpolate a Pixel Image

Extract the Interaction from a Fitted Point Process Model

Interactively Define a Rectangle

Point and Click Interface for Displaying Spatial Data

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Neighbourhood density function

Mixed Poisson Distribution

Convolution of Pixel Images

Function Value Table

Lansing Woods Point Pattern

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

Integral of a Measure

Compute Images of Constructed Covariates

Identify Segments in a Line Segment Pattern

Convert Data to Numeric Values by Constructing Dummy Variables

Distance for a Point Pattern Matching

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Pairwise distances between two point patterns on a linear network

Diagnostic Plots for Fitted Point Process Model

Stoyan's Rule of Thumb for Bandwidth Selection

bounding.box.xy

Convex Hull of Points

Artificial Data Point Pattern

Distance Map of Point Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Convert Pixel Image from Numeric to Factor

Default Expansion Rule for Simulation of Model

Mark Correlation Integral

Clark and Evans Aggregation Index

Fry Plot of Point Pattern

Methods for Linear Networks

Signed or Vector-Valued Measure

Test Whether Object is a Hybrid

Beta Ganglion Cells in Cat Retina

Fitted Probabilities for Spatial Logistic Regression

Create a Window

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

pairdist.default

Pairwise distances

Kernel Smoothed Intensity of Point Pattern

Function Arrays for Spatial Patterns

Summarise Marks in Every Neighbourhood in a Point Pattern

Methods for Multi-Dimensional Box

linearpcfcross.inhom

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

Distance Map of Window

Methods for three-dimensional point patterns

Intensity of a Dataset or a Model

Plot Pixel Image on Linear Network

Convert a Window to a Polygonal Window

Compute Disc of Given Radius in Linear Network

Methods for Functions on Linear Network

Distance Map on Linear Network

Test Whether Marks Are Present

Apply Expansion Rule

Spatial Distribution Test for Multiple Point Process Model

Apply Function to Image Broken Down by Factor

Test Whether a Window is Convex

Geometrical Calculations for Multi-Dimensional Box

Convert to Pixel Image on Linear Network

Inhomogeneous Linear K Function

Linear K Function

Nearest Neighbour Distances in Any Dimensions

Influence Measure for Spatial Point Process Model

Translation Edge Correction

Create Pixel Image on Linear Network

Exchange X and Y Coordinates

Area of Part of Disc

Close Pairs of Points in 3 Dimensions

Demonstration Example of Hyperframe of Spatial Data

Apply Function Pixelwise to List of Images

Create Point Pattern on Linear Network

Marks of a Line Segment Pattern

Distribution Function of Interpoint Distance

Spatial Function Class

ANOVA for Fitted Multiple Point Process Models

Methods for Fitted Interactions

Safely Convert Point Pattern Window to Binary Mask

Crossing Points of Two Line Segment Patterns

Envelope for Point Patterns on Linear Network

Kaplan-Meier Estimator using Histogram Data

Calculate Derivative of Function Values

Ord Interaction Process Family

Difference of Disc Areas

Evaluate Expression Involving Pixel Images on Linear Network

Fitted Conditional Intensity for Point Process Model

Evaluate Expression Involving Function Arrays

Log Likelihood for Poisson Point Process Model

Diameter of an Object

Berman-Huntington points and lines data

Inhomogeneous Neighbourhood Density Function

Nearest Neighbours Between Two Patterns

Extract or Replace the Plot Arguments of a Layered Object

model.matrix.ppm

Extract Design Matrix from Point Process Model

linearpcfdot.inhom

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

Log Likelihood and AIC for Point Process Model

Diggle's Heather Data

Methods for Units

Intersection, Union or Set Subtraction of Two Windows

Test Whether An Object Is Empty

Test Whether Points Are Inside A Window

Pool Data from Several Envelopes

inforder.family

Infinite Order Interaction Family

multiplicity.ppp

Count Multiplicity of Duplicate Points

Create a Function Value Table

Inverse-distance weighted smoothing of observations at irregular points

Intersection of Two Tessellations

Methods for Point Patterns on a Linear Network

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

Objective Function Surface

matclust.estpcf

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

Kernel Smoothing of Line Segment Pattern

Morisita Index Plot

Pair Correlation Function obtained from K Function

Fitted Conditional Intensity for Multiple Point Process Model

Lurking variable plot

Pine saplings in Finland.

Methods for Cluster Point Process Models

Multitype pair correlation function (i-to-any)

People in Gordon Square

Plot a Pixel Image

Hybrid Interaction Family

Morphological Opening

Pairwise distances

K-th Nearest Point Map

Midpoints of Line Segment Pattern

List Dihedral Triples in a Graph

Fit Point Process Model to Several Point Patterns

Function on a Linear Network

Determine Whether One Window is Contained In Another

Beta Ganglion Cells in Cat Retina, Old Version

Basis for Harmonic Functions

Make Function Tables Compatible

Plot a Fitted Point Process Model on a Linear Network

Histogram of Pixel Values in an Image

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Nearest neighbour distances in three dimensions

Outdated Functions

Simulation Envelopes of Summary Function

Extract Dummy Points Used to Fit a Point Process Model

Nearest Neighbours in Any Dimensions

Point Patterns of New Brunswick Forest Fires

intensity.quadratcount

Intensity Estimates Using Quadrat Counts

Test whether Object is Multitype

Convert Spatial Object to Pixel Image

Mark Correlation Function

Abbreviations for Groups of Columns in Function Value Table

Endpoints of Line Segment Pattern

Plot a Simulation Envelope

Create a Point Pattern

Add margins to rectangle

Create a Pixel Image Object

plot a Fitted Multiple Point Process Model

Test Whether A Point Pattern is Marked

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Kimboto trees at Paracou, French Guiana

Plot a Fitted Spatial Logistic Regression

Bootstrap Confidence Bands for Summary Function

Pool Data from Several Function Arrays

Methods for Three-Dimensional Box

plot a Fitted Point Process Model

plot a Spatial Point Pattern

Plot a List of Point Patterns

Fit Cluster or Cox Point Process Model

Make Periodic Copies of a Spatial Pattern

Quadrat counting for a point pattern

Humberside Data on Childhood Leukaemia and Lymphoma

Compute Area of Overlap

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Divide Region into Quadrats

invoke.symbolmap

Plot Data Using Graphics Symbol Map

Mosaic Random Set

Weighted Empirical Cumulative Distribution Function

Mark of Nearest Neighbour

Nearest Neighbours on a Linear Network

Number of Line Segments in a Line Segment Pattern

Multidimensional Space-Time Point Pattern

Nearest neighbour distances on a linear network

Test Whether An Object Is A Pixel Image

Marks of a Point Pattern

Pad the Border of a Pixel Image

Print News About Latest Version of Package

Scots pines and other trees at Hyytiala

Nearest neighbour distances

Number of Points in a Point Pattern

Test Whether An Object Is A Fitted Point Process Model

Extract Boundary Edges of a Window.

Class of Quadrature Schemes

Pair Correlation Function of Point Pattern

Japanese Pines Point Pattern

linearKdot.inhom

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

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Create List of Plotting Layers

Aherne's hamster tumour data

Point and Click Interface for Exploratory Analysis of Point Pattern

Allard-Fraley Estimator of Cluster Feature

Saturated Pairwise Interaction Point Process Family

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Recognise Stationary and Poisson Point Process Models

Hexagonal Grid or Tessellation

Pairwise distances

Linear Pair Correlation Function

Method of Minimum Contrast

Plot Function Values

Extract Pixel Centres as Point Pattern

Pairwise distances in Three Dimensions

Convert Line Segment Pattern to Pixel Image

Nearest neighbour

Plot a three-dimensional point pattern

plot.quadrattest

Display the result of a quadrat counting test.

Inhomogeneous Pair Correlation Function

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Plot a linear network

Local pair correlation function

Plot a fitted cluster point process

Perfect Simulation of the Diggle-Gates-Stibbard Process

Scatterplot Matrix for Pixel Images

quadrat.test.splitppp

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

methods.objsurf

Methods for Objective Function Surfaces

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

pairwise.family

Pairwise Interaction Process Family

Print a Quadrature Scheme

Leverage Measure for Spatial Point Process Model

Methods for Multidimensional Space-Time Point Patterns

Perimeter Length of Window

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

Level Set of a Pixel Image

Plot a tessellation

New Zealand Trees Point Pattern

Identify Covariates Involved in each Model Term

Prediction from a Fitted Point Process Model

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

Force Point Process Model to be Valid

Ponderosa Pine Tree Point Pattern

Fit the Matern Cluster Point Process by Minimum Contrast

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

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

Pair Correlation Function

Dummy Function Returns Number of Points

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Print Progress Reports

Kaplan-Meier and Reduced Sample Estimator using Histograms

Plot a Spatial Quadrature Scheme

Generate a Quadrature Scheme from a Point Pattern

pppmatching.object

Class of Point Matchings

Create a Linear Network

Predict Point Process Model on Linear Network

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Compute Minimum or Maximum Nearest-Neighbour Distance

project2segment

Move Point To Nearest Line

Simulate Gauss-Poisson Process

Hyper Data Frame

Multitype pair correlation function (cross-type)

Nearest Neighbours Between Two Patterns in 3D

quadrat.test.mppm

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

Sample Quantiles of Pixel Image

Quasirandom Patterns

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

Simulate Matern Model II

interp.colourmap

Interpolate smoothly between specified colours

Pool Data from Several Ratio Objects

Simulate Matern Cluster Process

Prediction from a Fitted Cluster Point Process Model

Loglikelihood of Spatial Logistic Regression

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

nearest.raster.point

Find Pixel Nearest to a Given Point

Pseudoscore Diagnostic For Fitted Model against General Alternative

Predicted or Fitted Values from Spatial Logistic Regression

Panel Plots using Colour Image or Contour Lines

Window in Shape of Letter R

Cells in Gastric Mucosa

Plot Result of Scan Test

rPoissonCluster

Simulate Poisson Cluster Process

Perspective Plot of Pixel Image

Rectangular grid of points

Q-Q Plot of Residuals from Fitted Point Process Model

Print Brief Details of a Point Pattern Dataset

linearKcross.inhom

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

Inhomogeneous Linear Pair Correlation Function

Intensity of Fitted Point Process Model

Methods for Spatial Logistic Regression Models

Perfect Simulation of the Strauss Process

plot.texturemap

Plot a Texture Map

Pairwise shortest-path distances between points on a linear network

Class of Line Segment Patterns

Methods for Spatial Functions

Mark Connection Function

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Prediction for Fitted Multiple Point Process Model

Nearest neighbours in three dimensions

Methods for Intensity Functions of Spatial Covariate

Pyramidal Neurons in Cingulate Cortex

Find Line Segment Nearest to Each Point

quadratresample

Resample a Point Pattern by Resampling Quadrats

Nearest neighbour distances between line segments

plot.influence.ppm

Plot Influence Measure

Simulate Neyman-Scott Process

Create a Line Segment Pattern

Plot a Graphics Symbol Map

Perfect Simulation of the Hardcore Process

Convert Point Pattern to Pixel Image

Empirical Intensity of Point Pattern

Compute Quadrature Weights Based on Grid Counts

Identify Nearest Neighbours on a Linear Network

model.frame.ppm

Extract the Variables in a Point Process Model

Create a Point Matching

Methods for Fitted Point Process Models on a Linear Network

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

plot a Spatial Line Segment Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Partial Residuals for Point Process Model

Plot a List of Things

Marked pair correlation function

plot.bermantest

Plot Result of Berman Test

Print Brief Details of a Spatial Window

Generate Quasirandom Point Pattern in Given Window

Pairwise Distances in Any Dimensions

Murchison gold deposits

Class of Point Patterns

Plot a Signed or Vector-Valued Measure

Plot a Spatial Window

plot.quadratcount

Plot Quadrat Counts

Pairwise distances between line segments

Perfect Simulation of the Diggle-Gratton Process

methods.layered

Methods for Layered Objects

Print a Fitted Point Process Model

Pair Correlation Function of a Three-Dimensional Point Pattern

Place Points Evenly Along Specified Lines

Profile Maximum Pseudolikelihood

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Pair Correlation Function obtained from array of K functions

Quadrature Scheme Based on Pixel Grid

Distance Between Two Point Patterns

Plot Point Pattern on Linear Network

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Three Dimensional Point Pattern

Print Brief Details of an Image

Print Brief Details of a Line Segment Pattern Dataset

Simulate Log-Gaussian Cox Process

Plot a plotppm Object Created by plot.ppm

Convert Window to Pixel Image

Quantiles of Weighted Empirical Cumulative Distribution Function

Nearest Neighbour Map on Linear Network

Plot a Spatial Distribution Test

Fit Point Process Model to Point Pattern Data

Mosaic Random Field

Plot a Function Array

Simulate Matern Model I

Perfect Simulation of the Strauss-Hardcore Process

plot.hyperframe

Plot Entries in a Hyperframe

Plot a Colour Map

plot.leverage.ppm

Plot Leverage Function

Fit Point Process Model to Data

Point Pair Orientation Distribution

Class of Fitted Point Process Models

Extract Subset of Function Array

Multitype L-function (cross-type)

Apply Affine Transformation To Pixel Image

Convert to Pixel Image

Extract.leverage.ppm

Extract Subset of Leverage Object

Scott's Rule for Bandwidth Selection for Kernel Density

Interactively Define a Polygon

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Delaunay Triangulation of Point Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Simulation Envelopes of Summary Function for 3D Point Pattern

Evaluate Expression Involving Pixel Images

Identify Points in a Point Pattern

Fit Point Process Model to Point Pattern on Linear Network

Generate a Row or Column Arrangement of Rectangles.

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Nearest Neighbour Clutter Removal

Lengths of Line Segments

Nearest Neighbour Index Map as a Function

pool.quadrattest

Pool Several Quadrat Tests

Smoothing Estimate of Covariate Transformation

Generate Poisson Point Pattern in Any Dimensions

Poisson Line Tessellation

reload.or.compute

Compute Unless Previously Saved

Simulate Baddeley-Silverman Cell Process

run.simplepanel

Run Point-and-Click Interface

Data Sharpening of Point Pattern

Smoothed Relative Density of Pairs of Covariate Values

Nonparametric Estimate of Spatially-Varying Relative Risk

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Apply Scalar Dilation

Divide Image Into Sub-images

Compute Areas of Tiles in a Tessellation

Superimpose Several Geometric Patterns

Spatial Scan Test

Vertices of a Window

Specify Simulation Window or Expansion Rule

Generate N Uniform Random Points

Simulate Thomas Process

Determine Initial State for Metropolis-Hastings Simulation.

Spatial Cumulative Distribution Function

California Redwoods Point Pattern (Ripley's Subset)

Rotate a Pixel Image

Generate Poisson Point Pattern on Line Segments

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Reflect In Origin

Rotate a Window

Convert Pixel Image to Another Unit of Length

Evaluate an Expression in a Function Table

Generate N Uniform Random Points in Any Dimensions

Generate Random Numbers of Points for Cell Process

Residuals for Point Process Model Fitted to Multiple Point Patterns

rescue.rectangle

Convert Window Back To Rectangle

Random Thinning

Simulate Stratified Random Point Pattern

Random Re-Labelling of Point Pattern

Names of Tiles in a Tessellation

Generate N Random Multitype Points

Create a Tessellation

Residuals for Fitted Point Process Model

Spokes pattern of dummy points

Generate N Uniform Random Points in Three Dimensions

Define Point Process Model for Metropolis-Hastings Simulation.

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Set Covariance of a Window

Extract List of Individual Point Process Models

Summarizing a Fitted Point Process Model

Sufficient Statistic of Point Process Model

Check Whether Point Process Model is Valid

Summary of a Point Pattern Dataset

Generate Multitype Poisson Point Pattern

Generate N Uniform Random Points in a Disc

Stratified random point pattern

Apply Vector Translation To Point Pattern

Simple Example of Linear Network

Swedish Pines Point Pattern

Test Expansion Rule

Extract Unique Points from a Spatial Point Pattern

spatstat-package

The Spatstat Package

Approximate a Polygon by a Simpler Polygon

Compute Quadratic Forms

Cartesian Coordinates for a Pixel Raster

Range of Function Values

Update a Fitted Point Process Model

Estimate Variance of Summary Statistic by Subdivision

vargamma.estpcf

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

Summary of a Line Segment Pattern Dataset

Simulate systematic random point pattern

Summary of a Spatial Window

Interaction Distance of a Point Process

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Convert Point Pattern to Another Unit of Length

Reduced Sample Estimator using Histogram Data

Convert Line Segment Pattern to Another Unit of Length

California Redwoods Point Pattern (Entire Dataset)

Theoretical Distribution of Nearest Neighbour Distance

Convert Window to Another Unit of Length

Simulate from a Fitted Point Process Model

Record the Computation Time

Convert dataset to another unit of length

Apply Vector Translation To Line Segment Pattern

Generate N Random Points

Rotate a Line Segment Pattern

Estimate window from points alone

Interpret Fitted Model for Metropolis-Hastings Simulation.

superimpose.lpp

Superimpose Several Point Patterns on Linear Network

Compute Integral of Function Against Cumulative Distribution

spatstat.options

Internal Options in Spatstat Package

Simulate point patterns using the Metropolis-Hastings algorithm.

spatstat-deprecated

Deprecated spatstat functions

Weighted Histogram

Randomly Shift a Line Segment Pattern

Apply Numerical Rounding to Spatial Coordinates

Summarizing a Pixel Image

Graphics Symbol Map

Generate Poisson Point Pattern in Three Dimensions

Trees in Waka national park

Summarizing a Quadrature Scheme

Uniform Random Points on a Linear Network

Simulate a Fitted Gibbs Point Process Model

Apply Vector Translation

Poisson Point Process on a Linear Network

spatstat-internal

Internal spatstat functions

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

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

Set Control Parameters for Metropolis-Hastings Algorithm.

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Randomly Shift a Point Pattern

scaletointerval

Rescale Data to Lie Between Specified Limits

Define Point Process Model for Metropolis-Hastings Simulation.

Generate Poisson Point Pattern

summary.splitppp

Summary of a Split Point Pattern

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Simulate a Fitted Point Process Model on a Linear Network

Print Names and Version Numbers of Libraries Loaded

split.hyperframe

Divide Hyperframe Into Subsets and Reassemble

Summary of a List of Things

Urkiola Woods Point Pattern

Sporophores Data

Read Point Pattern From Data File

Galaxies in the Shapley Supercluster

Simulate a Fitted Spatial Logistic Regression Model

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

Simulated Point Pattern

Weighted kernel smoother

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

Update a Fitted Cluster Point Process Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Generate grid of parallel lines with random displacement

Extract List of Tiles in a Tessellation

Subset of Point Pattern Satisfying A Condition

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

Spatial Logistic Regression

Likelihood Ratio Test Statistic for Scan Test

Fit the Thomas Point Process by Minimum Contrast

Name for Unit of Length

Spruces Point Pattern

update.symbolmap

Update a Graphics Symbol Map.

Create Colour-Valued Pixel Image

Divide Multidimensional Point Pattern into Sub-patterns

Fit the Thomas Point Process by Minimum Contrast

Rotate a Point Pattern

Generate Poisson Random Line Process

Cut margins from rectangle

Variance-Covariance Matrix for a Fitted Point Process Model

Union of Data and Dummy Points

Apply Vector Translation To Window

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

tweak.colourmap

Change Colour Values in a Colour Map

Rounding of Pixel Values

Simulate Simple Sequential Inhibition

Plot Image Using Texture Fill

Triplet Interaction Family

Random Perturbation of a Point Pattern

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Simulate a Fitted Cluster Point Process Model

Volume of an Object

Detect Numerical Rounding

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

Apply Vector Translation To Pixel Image

Simple Point-and-Click Interface Panels

Divide Point Pattern into Sub-patterns

Pixel Values Along a Transect

Data and Code From JRSS Discussion Paper on Residuals