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spatstat (version 1.31-1.1)

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, 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

1.31-1.1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

April 25th, 2013

Functions in spatstat (1.31-1.1)

Locally Scaled K-function

The Multitype Strauss Point Process Model

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

The Strauss Point Process Model

Convert Data To Class psp

Calculate four standard summary functions of a point pattern.

Convert Data To Class ppp

Convert Data To Tessellation

Residual G Function

Inhomogeneous Multitype K Dot Function

Contour plot of pixel image

Crossing Points of Two Line Segment Patterns

Distance Map of Point Pattern

Identify Points in a Point Pattern

Create a Pixel Image Object

Extract Interaction Structure

model.matrix.ppm

Extract Design Matrix from Point Process Model

Pair Correlation Function obtained from array of K functions

Convex Hull of Points

clarkevans.test

Clark and Evans Test

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Nearest neighbour distances between line segments

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Spatial Function Class

Hyper Data Frame

Multitype pair correlation function (i-to-any)

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Nearest Neighbour Distances in Any Dimensions

Nearest neighbour distances in three dimensions

Extract Subset of Point Pattern on Linear Network

Plot a plotppm Object Created by plot.ppm

Ord Interaction Process Family

Empty Space Function of a Three-Dimensional Point Pattern

Plot a List of Things

Murchison gold deposits

Estimate the empty space function F

Partial Residuals for Point Process Model

Make Periodic Copies of a Spatial Pattern

Inhomogeneous J-function

Apply Affine Transformation To Point Pattern

Simulate Thomas Process

Extract Quadrature Scheme Used to Fit a Point Process Model

Class of Line Segment Patterns

Fit the Thomas Point Process by Minimum Contrast

Predicted or Fitted Values from Spatial Logistic Regression

Simulate Matern Model I

Coefficients of Fitted Point Process Model

Detect Numerical Rounding

Distribution Function of Interpoint Distance

Apply Numerical Rounding to Spatial Coordinates

Simulate systematic random point pattern

Diggle's Heather Data

Kimboto trees at Paracou, French Guiana

Nearest neighbours in three dimensions

Update a Fitted Point Process Model

Simulate Stratified Random Point Pattern

Generate Random Numbers of Points for Cell Process

rshift.splitppp

Randomly Shift a List of Point Patterns

Plot a tessellation

Estimate window from points alone

Random Re-Labelling of Point Pattern

Extract Subset of Image

Reduced Second Moment Measure

Subset of Quadrature Scheme

Q-Q Plot of Residuals from Fitted Point Process Model

Beadlet Anemones Data

Cross Validated Bandwidth Selection for Relative Risk Estimation

Convert Data to Three-Dimensional Box

Areas of Morphological Dilations

Area of Part of Disc

Print Progress Reports

Pool Data from Several Function Arrays

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Centroid of a window

Methods for Linear Networks

Nearest neighbour

Diameter of a Window

Test Whether Pixel Images Are Compatible

Classify Points in a Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Pairwise distances between line segments

Number of Line Segments in a Line Segment Pattern

Class of Quadrature Schemes

Update a Fitted Cluster Point Process Model

Summary of a List of Things

Extract List of Tiles in a Tessellation

Quadrat counting for a point pattern

Evaluate Expression Involving Pixel Images

Convert Pixel Image to Another Unit of Length

Fitted Conditional Intensity for Point Process Model

Corners of a rectangle

Morphological Opening

Convert Spatial Object to Pixel Image

Extract or Replace Subset of a List of Things

Simulate Log-Gaussian Cox Process

Extract or Replace Subset of Tessellation

Extract Subset of Window

Generate Poisson Point Pattern in Any Dimensions

Multitype J Function (i-to-any)

Scatterplot Matrix for Pixel Images

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

Simple Example of Linear Network

The Piecewise Constant Pairwise Interaction Point Process Model

Generate a Quadrature Scheme from a Point Pattern

Mosaic Random Set

Three Dimensional Point Pattern

Saturated Pairwise Interaction model

Convert Point Pattern to Pixel Image

Create a Line Segment Pattern

Interpret Fitted Model for Metropolis-Hastings Simulation.

The Area Interaction Point Process Model

spatstat-deprecated

Deprecated spatstat functions

Circumradius and Diameter of a Linear Network

Multitype K Function (i-to-any)

Marked Nearest Neighbour Distance Function

Foxall's Distance Functions

Create Colour-Valued Pixel Image

Multitype L-function (cross-type)

Morphological Closing

Inhomogeneous Empty Space Function

Apply Vector Translation To Window

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Generic Pairwise Interaction model

Bronze gradient filter data

compatible.fasp

Test Whether Function Arrays Are Compatible

Extract.splitppp

Extract or Replace Sub-Patterns

Three-Dimensional Box

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Apply Function to Image Broken Down by Factor

Test Whether Objects Are Compatible

Smoothing Estimate of Covariate Transformation

Plot a Function Array

scaletointerval

Rescale Data to Lie Between Specified Limits

Cartesian Coordinates for a Pixel Raster

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

Marks of a Point Pattern

K-function using FFT

Inhomogeneous Nearest Neighbour Function

The Soft Core Point Process Model

Marked K-Function

Third order summary statistic

New Zealand Trees Point Pattern

Interactively Define a Polygon

Berman's Tests for Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

Chorley-Ribble Cancer Data

Colour Lookup Tables

Determine A Common Spatial Domain And Pixel Resolution

Residual Diagnostics for Multiple Fitted Models

Apply Affine Transformation To Pixel Image

Geometrical Calculations for Three-Dimensional Box

Convert Line Segment Pattern to Binary Pixel Mask

Methods for three-dimensional point patterns

Lambert's W Function

The Strauss / Hard Core Point Process Model

Diameter of an Object

Function Value Table

Weighted Empirical Cumulative Distribution Function

Methods for Intensity Functions of Spatial Covariate

The Multitype Hard Core Point Process Model

Methods for Units

Test Whether Function Objects Are Compatible

Identify Covariates Involved in each Model Term

Rotate a Point Pattern

Apply a Function to a Point Pattern Broken Down by Factor

Class of Fitted Point Process Models

Trees in Waka national park

Apply Affine Transformation To Window

Apply Vector Translation

Influenza Virus Proteins

Convert Data To Class owin

Pair Correlation Function of Point Pattern

Create a Window

Plot a Colour Map

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Nonparametric Estimate of Spatially-Varying Relative Risk

Simulate Gauss-Poisson Process

Plot Function Values

Randomly Shift a Point Pattern

Plot a linear network

K function of a model

Bandwidth Selection Based on Window Geometry

Cells in Gastric Mucosa

Galaxies in the Shapley Supercluster

Print Brief Details of a Line Segment Pattern Dataset

Plot a Fitted Spatial Logistic Regression

Random Perturbation of a Point Pattern

Nearest Neighbour Map as a Function

Find Line Segment Nearest to Each Point

Summary of a Spatial Window

Methods for Three-Dimensional Box

Allard-Fraley Estimator of Cluster Feature

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Pairwise distances between two different three-dimensional point patterns

plot.influence.ppm

Plot Influence Measure

Fit the Thomas Point Process by Minimum Contrast

Print Brief Details of a Spatial Window

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Mark Correlation Function

Generate Multitype Poisson Point Pattern

Perfect Simulation of the Hardcore Process

Generate N Uniform Random Points in Any Dimensions

Summarizing a Pixel Image

Generate N Uniform Random Points in Three Dimensions

Predict Point Process Model on Linear Network

Check Whether Point Process Model is Valid

Pair Correlation Function

Apply Smoothing to Function Values

Simulate Matern Cluster Process

Summary of a Line Segment Pattern Dataset

Diagnostics for random marking

Simulate point patterns using the Metropolis-Hastings algorithm.

Sample Quantiles of Pixel Image

Pairwise distances in Three Dimensions

Simulate Neyman-Scott Process

Generate Poisson Point Pattern in Three Dimensions

Extract Subset of Multidimensional Point Pattern

Model Compensator of Nearest Neighbour Function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Spatial Scan Test

Combine Two Line Segment Patterns

Extract.layered

Extract Subset of a Layered Object

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

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

vargamma.estpcf

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

Weighted kernel smoother

Extract Subset of Function Array

Apply Gaussian Blur to a Pixel Image

Geyer's Saturation Point Process Model

Model Compensator of K Function

plot a Spatial Line Segment Pattern

Vertices of a Window

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

California Redwoods Point Pattern (Entire Dataset)

Inhomogeneous Cross K Function

Hutchings' Bramble Canes data

Humberside Data on Childhood Leukaemia and Lymphoma

Weighted Histogram

Superimpose Several Geometric Patterns

Mark Correlation Integral

Pair Correlation Function of a Three-Dimensional Point Pattern

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Divide Image Into Sub-images

Interaction Distance of a Point Process

Perfect Simulation of the Diggle-Gratton Process

Convert Data to Hyperframe

Place Points Evenly Along Specified Lines

Mosaic Random Field

Border Region of a Window

Set Covariance of a Window

Stoyan's Rule of Thumb for Bandwidth Selection

Simulate Baddeley-Silverman Cell Process

Japanese Pines Point Pattern

Compute Images of Constructed Covariates

Summary of a Point Pattern Dataset

complement.owin

Take Complement of a Window

Rotate a Pixel Image

Point Patterns of New Brunswick Forest Fires

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Generate Poisson Point Pattern on Line Segments

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Pixel Values Along a Transect

Convert Pixel Image from Numeric to Factor

Extract or Change the Plot Formula for a Function Value Table

Define Point Process Model for Metropolis-Hastings Simulation.

Spokes pattern of dummy points

Distance to Boundary of Window

Methods for Fitted Point Process Models on a Linear Network

Methods for Multi-Dimensional Box

rescue.rectangle

Convert Window Back To Rectangle

Perfect Simulation of the Diggle-Gates-Stibbard Process

spatstat-package

The Spatstat Package

Compute Quadrature Weights Based on Grid Counts

nearest.raster.point

Find Pixel Nearest to a Given Point

Chicago Street Crime Data

Exchange X and Y Coordinates

Parameter influence measure

Plot a fitted cluster point process

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Linear Pair Correlation Function

Dirichlet Tessellation of Point Pattern

Triplet Interaction Family

Uniform Random Points on a Linear Network

Methods for Multidimensional Space-Time Point Patterns

Linear K Function

crossdist.default

Pairwise distances between two different sets of points

envelope.envelope

Recompute Envelopes

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Plot a Spatial Kolmogorov-Smirnov Test

Scots pines and other trees at Hyytiala

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Volume of an Object

Generate N Random Points

Neighbourhood density function

Make Pixel Images Compatible

Test Whether Marks Are Present

Test Whether An Object Is A Point Pattern

Plot a List of Things

Method of Minimum Contrast

Generate N Uniform Random Points

Test Expansion Rule

Connected components

Pairwise distances between two different point patterns

Convert Line Segment Pattern to Pixel Image

Poisson Line Tessellation

Difference of Disc Areas

Nearest-Neighbour Correlation Indices of Marked Point Pattern

delaunay.distance

Distance on Delaunay Triangulation

Extract Unique Points from a Spatial Point Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Urkiola Woods Point Pattern

Print Brief Details of an Image

Interactively join vertices on a plot

Determine Duplicated Points in a Spatial Point Pattern

Point and Click Interface for Displaying Spatial Data

Identify Pixelwise Maximum of Several Pixel Images

Pairwise distances

edges2triangles

List Triangles in a Graph

Pseudoscore Diagnostic For Fitted Model against General Alternative

Nearest Neighbour Clutter Removal

Pair Correlation Function obtained from K Function

methods.layered

Methods for Layered Objects

Prediction from a Fitted Cluster Point Process Model

Marks of a Line Segment Pattern

Morishita Index Plot

Nearest Neighbours in Any Dimensions

Plot a Pixel Image

Quadrature Scheme Based on Pixel Grid

Print Brief Details of a Point Pattern Dataset

Data and Code From JRSS Discussion Paper on Residuals

pppmatching.object

Class of Point Matchings

Rounding of Pixel Values

quadratresample

Resample a Point Pattern by Resampling Quadrats

Apply Scalar Dilation

Fit the Matern Cluster Point Process by Minimum Contrast

Simulated Point Pattern

Simulate Matern Model II

Create a Point Matching

Perfect Simulation of the Strauss Process

The Connected Component Process Model

Residuals for Fitted Point Process Model

Define Point Process Model for Metropolis-Hastings Simulation.

Distance Map of Window

Apply Vector Translation To Line Segment Pattern

The Fiksel Interaction

Test Whether Object is a Hybrid

Hybrid Interaction Point Process Model

Convert dataset to another unit of length

Lengths of Line Segments

The Triplet Point Process Model

Generate Poisson Point Pattern

Convert a Window to a Polygonal Window

Apply Vector Translation To Point Pattern

Extract the Interaction from a Fitted Point Process Model

Apply Vector Translation To Pixel Image

Random Thinning

Fit the Neyman-Scott cluster process with Cauchy kernel

Biological Cells Point Pattern

Test Whether An Object Is A Fitted Point Process Model

Multi-Dimensional Box

Test Whether A Point Pattern is Marked

Envelope for Point Patterns on Linear Network

Distance Map as a Function

Geometrical Calculations for Multi-Dimensional Box

Interpolate a Pixel Image

Generate N Uniform Random Points in a Disc

Rectangular grid of points

Estimate Variance of Summary Statistic by Subdivision

Castilla-La Mancha Forest Fires

Endpoints of Line Segment Pattern

licence.polygons

Restricted Licence Conditions for Polygon Calculations

Convert Pixel Image to Matrix

Simulation Envelopes of Summary Function for 3D Point Pattern

Find Largest Circle Inside Window

Fry Plot of Point Pattern

Empirical Intensity of Point Pattern

Prediction from a Fitted Point Process Model

Distance to Boundary of Window

inforder.family

Infinite Order Interaction Family

Convert Window to Pixel Image

Perimeter Length of Window

Lansing Woods Point Pattern

Fitted Probabilities for Spatial Logistic Regression

Generate Poisson Random Line Process

Test Whether An Object Is Empty

Plot a Signed or Vector-Valued Measure

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Pairwise distances

Extract Original Data from a Fitted Point Process Model

Create List of Plotting Layers

Create Pixel Image on Linear Network

Pool Data from Several Ratio Objects

Fit Point Process Model to Data

Class of Point Patterns

Level Set of a Pixel Image

Identify Segments in a Line Segment Pattern

Test Whether An Object Is A Pixel Image

Pairwise Distances in Any Dimensions

Apply Function to Every Neighbourhood in a Point Pattern

Force Point Process Model to be Valid

Longleaf Pines Point Pattern

Extract or Replace the Plot Arguments of a Layered Object

Inhomogeneous K-function

Pairwise distances

Divide Region into Quadrats

Plot a Spatial Window

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Summarizing a Quadrature Scheme

Union of Data and Dummy Points

Window in Shape of Letter R

Recognise Stationary and Poisson Point Process Models

Intersection of Two Tessellations

Histogram of Pixel Values in an Image

Hybrid Geyer Point Process Model

Compute Quadratic Forms

Extract or Replace Subset of Point Pattern

Inhomogeneous Multitype L Dot Function

Print Names and Version Numbers of Libraries Loaded

Function Arrays for Spatial Patterns

Ord's Interaction model

Set Control Parameters for Metropolis-Hastings Algorithm.

Hughes' Amacrine Cell Data

Tropical rain forest trees

K-function of a Three-Dimensional Point Pattern

Create a Tessellation

Generic Ord Interaction model

Analysis of Deviance for Spatial Logistic Regression Models

Bounding Box of a Window or Point Pattern

Pixel Image Approximation of a Window

Convert Pixel Image to Matrix or Array

Delaunay Triangulation of Point Pattern

Convert Data to Numeric Values by Constructing Dummy Variables

Areas of Morphological Erosions

Convert Polygonal Region into Different Format

Cross Validated Bandwidth Selection for Kernel Density

Evaluate Expression Involving Function Arrays

Signed or Vector-Valued Measure

Model Formulae for Gibbs Point Process Models

Reflect In Origin

Distance for a Point Pattern Matching

Saturated Pairwise Interaction Point Process Family

plot.hyperframe

Plot Entries in a Hyperframe

Midpoints of Line Segment Pattern

Simulate Simple Sequential Inhibition

Perspective Plot of Pixel Image

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

matclust.estpcf

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

Summarise Marks in Every Neighbourhood in a Point Pattern

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

Inhomogeneous Pair Correlation Function

Specify Simulation Window or Expansion Rule

Test Whether An Object Is A Window

Area of a Window

Read Point Pattern From Data File

Determine Whether One Window is Contained In Another

Plot Pixel Image on Linear Network

Simulate a Fitted Cluster Point Process Model

Gorilla Nesting Sites

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

quadrat.test.splitppp

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

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Poisson Point Process on a Linear Network

Nearest Neighbours Between Two Patterns

Apply Expansion Rule

Inhomogeneous Neighbourhood Density Function

Beta Ganglion Cells in Cat Retina, Old Version

Pool Data from Several Envelopes

Infinite Straight Lines

Inhomogeneous Marked K-Function

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Cut margins from rectangle

Point and Click Interface for Exploratory Analysis of Point Pattern

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Ponderosa Pine Tree Point Pattern

Generate grid of parallel lines with random displacement

Spatial Logistic Regression

Reset Values in Subset of Image

ANOVA for Fitted Point Process Models

Convert Function Value Table to Function

Divide Point Pattern into Sub-patterns

Randomly Shift a Line Segment Pattern

bounding.box.xy

Convex Hull of Points

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Concatenate x,y Coordinate Vectors

Intensity of Fitted Point Process Model

Inhomogeneous Linear Pair Correlation Function

Default Expansion Rule for Simulation of Model

Evaluate Expression Involving Functions

People in Gordon Square

Fit Point Process Model to Point Pattern on Linear Network

model.frame.ppm

Extract the Variables in a Point Process Model

Extract Fitted Point Process Model

Nearest neighbour distances

Approximate a Polygon by a Simpler Polygon

Simulate a Fitted Gibbs Point Process Model

Plot a List of Point Patterns

Inverse-distance weighted smoothing of observations at irregular points

Fit Cluster or Cox Point Process Model

Intensity of a Dataset or a Model

Compute Areas of Tiles in a Tessellation

Pairwise distances between two point patterns on a linear network

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

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Clark and Evans Aggregation Index

Create a Point Pattern

Data Sharpening of Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Influence Measure for Spatial Point Process Model

Circular Window

California Redwoods Point Pattern (Ripley's Subset)

Log Likelihood and AIC for Point Process Model

Create a Linear Network

Multitype K Function (Cross-type)

Leverage Measure for Spatial Point Process Model

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Lurking variable plot

spatstat-internal

Internal spatstat functions

The Hard Core Point Process Model

Multitype J Function (i-to-j)

Inhomogeneous Cross Type L Function

Marked J Function

Added Variable Plot for Point Process Model

as.data.frame.im

Convert Pixel Image to Data Frame

Kernel Smoothed Intensity of Point Pattern

Morphological Dilation

Integral of a Pixel Image

Methods for Spatial Functions

Intersection, Union or Set Subtraction of Two Windows

Test whether Object is Multitype

Convert to Pixel Image

plot.leverage.ppm

Plot Leverage Function

multiplicity.ppp

Count Multiplicity of Duplicate Points

Distance Between Two Point Patterns

Convert Window to Another Unit of Length

Profile Maximum Pseudolikelihood

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

Class of Images

Simulate from a Fitted Point Process Model

Distance Map of Line Segment Pattern

Theoretical Distribution of Nearest Neighbour Distance

Simulate a Fitted Spatial Logistic Regression Model

plot.bermantest

Plot Result of Berman Test

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

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Kaplan-Meier Estimator using Histogram Data

Coefficients of Fitted Spatial Logistic Regression Model

Nearest Neighbour Distance Function G

Spherical Contact Distribution Function

Estimate the I-function

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Multitype L-function (i-to-any)

Residual K Function

Simulation Envelopes of Summary Function

Orientation Angles of Line Segments

Pairwise distances between two different line segment patterns

Generate a Default Pattern of Dummy Points

Diagnostic Plots for Fitted Point Process Model

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

Pine saplings in Finland.

Methods for Point Patterns on a Linear Network

plot a Spatial Point Pattern

Multidimensional Space-Time Point Pattern

Pairwise shortest-path distances between points on a linear network

Divide Multidimensional Point Pattern into Sub-patterns

rPoissonCluster

Simulate Poisson Cluster Process

Summarizing a Fitted Point Process Model

Swedish Pines Point Pattern

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

pairwise.family

Pairwise Interaction Process Family

Rotate a Window

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

Exponential Energy Marks

Spruces Point Pattern

Optimise Irregular Trend Parameters in Point Process Model

Inhomogeneous Linear K Function

Compute Integral of Function Against Cumulative Distribution

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

Connected components of a point pattern

Convert to Pixel Image on Linear Network

Dummy Function Returns Number of Points

Evaluate an Expression in a Function Table

Local pair correlation function

Mark Connection Function

Loglikelihood of Spatial Logistic Regression

Extract Subset of Function Values

Basis for Harmonic Functions

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Test Whether Points Are Inside A Window

Estimate the J-function

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Apply Affine Transformation To Line Segment Pattern

Distance to Boundary of Window

Cross Validated Bandwidth Selection for Spatial Smoothing

Scott's Rule for Bandwidth Selection for Kernel Density

Intersect Infinite Straight Lines with a Window

Spatial smoothing of observations at irregular points

Collapse Several Function Tables into One

Berman-Huntington points and lines data

Kernel Smoothing of Line Segment Pattern

pairdist.default

Pairwise distances

plot a Fitted Point Process Model

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

project2segment

Move Point To Nearest Line

Convert Line Segment Pattern to Another Unit of Length

Plot a Simulation Envelope

Generate N Random Multitype Points

Print a Quadrature Scheme

runifpointOnLines

Generate N Uniform Random Points On Line Segments

pool.quadrattest

Pool Several Quadrat Tests

Name for Unit of Length

Perfect Simulation of the Strauss-Hardcore Process

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Test Whether A Point Process Model is Marked

Poisson Point Process Model

Create a Function Value Table

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Diggle-Gratton model

Extract Subset of Line Segment Pattern

Beta Ganglion Cells in Cat Retina

Combine Function Value Tables

Subdivide a Window or Tessellation using a Set of Lines

Artificial Data Point Pattern

Aherne's hamster tumour data

Hybrid Interaction Family

Methods for Spatial Logistic Regression Models

Multitype pair correlation function (cross-type)

plot a Spatial Quadrature Scheme

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Number of Points in a Point Pattern

Methods for Cluster Point Process Models

Smoothed Relative Density of Pairs of Covariate Values

Plot a three-dimensional point pattern

Reduced Sample Estimator using Histogram Data

Rotate a Line Segment Pattern

Smooth a Signed or Vector-Valued Measure

spatstat.options

Internal Options in Spatstat Package

Variance-Covariance Matrix for a Fitted Point Process Model

Print a Fitted Point Process Model

Sufficient Statistic of Point Process Model

summary.splitppp

Summary of a Split Point Pattern

Print News About Latest Version of Package

Empirical Intensity of Point Pattern on Linear Network

Determine Type of Window

Compute Disc of Given Radius in Linear Network

Bootstrap Confidence Bands for Summary Function

Harkness-Isham ants' nests data

Difference of Disc Areas

Morphological Erosion

ANOVA for Fitted Point Process Models on Linear Network

Apply Affine Transformation

Convolution of Pixel Images

Convert Point Pattern to Another Unit of Length

Create Point Pattern on Linear Network

Interactively Add Points

Spatial Covariance of a Pixel Image

Convert and Compare Colours in Different Formats

Extract Subset of Signed or Vector Measure

The Lennard-Jones Potential

Test Whether a Window is Convex