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spatstat (version 1.30-0)

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

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include 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

22,386

Version

1.30-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

December 23rd, 2012

Functions in spatstat (1.30-0)

Diagnostics for random marking

Marked K-Function

Apply Affine Transformation To Point Pattern

Simulation Envelopes of Summary Function for 3D Point Pattern

Morphological Erosion

Extract or Replace Subset of Tessellation

Function Arrays for Spatial Patterns

Print News About Latest Version of Package

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

Distance for a Point Pattern Matching

Inhomogeneous Marked K-Function

Methods for three-dimensional point patterns

Inhomogeneous Cross Type L Function

Morishita Index Plot

The Multitype Hard Core Point Process Model

Find Line Segment Nearest to Each Point

Mark Connection Function

The Soft Core Point Process Model

Residual G Function

Model Compensator of K Function

Reset Values in Subset of Image

Multitype L-function (cross-type)

Ord's Interaction model

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

The Multitype Strauss Point Process Model

Intersection of Two Tessellations

Apply a Function to a Point Pattern Broken Down by Factor

Bronze gradient filter data

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

The Area Interaction Point Process Model

Coefficients of Fitted Point Process Model

Fit Point Process Model to Data

ANOVA for Fitted Point Process Models on Linear Network

Determine A Common Spatial Domain And Pixel Resolution

Extract Fitted Point Process Model

Apply Gaussian Blur to a Pixel Image

Apply Affine Transformation

Apply Function to Every Neighbourhood in a Point Pattern

Morphological Closing

Convert Data to Hyperframe

Hybrid Geyer Point Process Model

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

Inhomogeneous Cross K Function

Kernel Smoothed Intensity of Point Pattern

Concatenate x,y Coordinate Vectors

Extract Dummy Points Used to Fit a Point Process Model

Convert Data To Class ppp

Convert dataset to another unit of length

Pairwise distances between two different three-dimensional point patterns

Influenza Virus Proteins

Intersect Infinite Straight Lines with a Window

Distribution Function of Interpoint Distance

Identify Points in a Point Pattern

Kaplan-Meier Estimator using Histogram Data

matclust.estpcf

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

Fitted Conditional Intensity for Point Process Model

Apply Expansion Rule

Interpret Fitted Model for Metropolis-Hastings Simulation.

Bounding Box of a Window or Point Pattern

Hutchings' Bramble Canes data

People in Gordon Square

Rotate a Window

Log Likelihood and AIC for Point Process Model

Determine Whether One Window is Contained In Another

Methods for Units

Midpoints of Line Segment Pattern

Pairwise distances between two point patterns on a linear network

Nearest neighbour

Interactively join vertices on a plot

Apply Scalar Dilation

Dummy Function Returns Number of Points

Method of Minimum Contrast

Compute Quadratic Forms

Nearest neighbour distances between line segments

Extract Subset of Image

Longleaf Pines Point Pattern

Make Periodic Copies of a Spatial Pattern

Methods for Point Patterns on a Linear Network

Pair Correlation Function obtained from array of K functions

Summary of a Line Segment Pattern Dataset

Nearest Neighbours Between Two Patterns

Estimate Variance of Summary Statistic by Subdivision

Multitype pair correlation function (i-to-any)

Extract Subset of Signed or Vector Measure

Simple Example of Linear Network

Pairwise distances

Poisson Point Process Model

The Lennard-Jones Potential

Parameter influence measure

Envelope for Point Patterns on Linear Network

The Strauss / Hard Core Point Process Model

Plot a Spatial Kolmogorov-Smirnov Test

Predicted or Fitted Values from Spatial Logistic Regression

Dirichlet Tessellation of Point Pattern

Quadrature Scheme Based on Pixel Grid

Plot a three-dimensional point pattern

Hybrid Interaction Family

Plot a tessellation

Spatial Covariance of a Pixel Image

Distance to Boundary of Window

Point and Click Interface for Exploratory Analysis of Point Pattern

Simulate Matern Model II

Perimeter Length of Window

Generate N Uniform Random Points in Three Dimensions

Ord Interaction Process Family

Border Region of a Window

Cross Validated Bandwidth Selection for Relative Risk Estimation

Subdivide a Window or Tessellation using a Set of Lines

Extract Original Data from a Fitted Point Process Model

Test Whether An Object Is A Point Pattern

Galaxies in the Shapley Supercluster

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Apply Smoothing to Function Values

Lengths of Line Segments

Mosaic Random Set

Convert Pixel Image to Another Unit of Length

Level Set of a Pixel Image

Diameter of an Object

Extract Subset of Function Values

Estimate the empty space function F

Generate N Random Points

compatible.fasp

Test Whether Function Arrays Are Compatible

nearest.raster.point

Find Pixel Nearest to a Given Point

Fitted Probabilities for Spatial Logistic Regression

Difference of Disc Areas

Scott's Rule for Bandwidth Selection for Kernel Density

Test Whether A Point Pattern is Marked

Chorley-Ribble Cancer Data

Mark Correlation Function

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Profile Maximum Pseudolikelihood

Simulate Neyman-Scott Process

Generate Poisson Point Pattern

Apply Vector Translation To Pixel Image

Create Colour-Valued Pixel Image

Extract List of Tiles in a Tessellation

spatstat-package

The Spatstat Package

Pairwise distances

Pairwise shortest-path distances between points on a linear network

Connected components of an image or window

Spatial Logistic Regression

Pool Data from Several Envelopes

Compute Integral of Function Against Cumulative Distribution

Corners of a rectangle

Combine Two Line Segment Patterns

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Evaluate an Expression in a Function Table

Class of Images

ANOVA for Fitted Point Process Models

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Prediction from a Fitted Point Process Model

clarkevans.test

Clark and Evans Test

crossdist.default

Pairwise distances between two different sets of points

plot a Fitted Point Process Model

Generate Poisson Random Line Process

Convert Data To Tessellation

Create Point Pattern on Linear Network

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Function Value Table

Kernel Smoothing of Line Segment Pattern

Convert Function Value Table to Function

Orientation Angles of Line Segments

Diagnostic Plots for Fitted Point Process Model

Interactively Define a Polygon

Print a Quadrature Scheme

Convert a Window to a Polygonal Window

Calculate four standard summary functions of a point pattern.

Influence Measure for Spatial Point Process Model

bounding.box.xy

Convex Hull of Points

California Redwoods Point Pattern (Entire Dataset)

Data and Code From JRSS Discussion Paper on Residuals

Recognise Stationary and Poisson Point Process Models

Determine Type of Window

Extract or Replace Subset of Point Pattern

Area of Part of Disc

Optimise Irregular Trend Parameters in Point Process Model

Pine saplings in Finland.

Extract Quadrature Scheme Used to Fit a Point Process Model

edges2triangles

List Triangles in a Graph

Residual Diagnostics for Multiple Fitted Models

Leverage Measure for Spatial Point Process Model

Apply Function to Image Broken Down by Factor

Simulation Envelopes of Summary Function

Test Whether Pixel Images Are Compatible

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Evaluate Expression Involving Functions

Intersection, Union or Set Subtraction of Two Windows

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Perfect Simulation of the Diggle-Gates-Stibbard Process

Circular Window

Multitype J Function (i-to-j)

Endpoints of Line Segment Pattern

Extract Subset of Point Pattern on Linear Network

Generate Multitype Poisson Point Pattern

Geyer's Saturation Point Process Model

Poisson Line Tessellation

K-function using FFT

Point and Click Interface for Displaying a Point Pattern

Inhomogeneous Multitype K Dot Function

Beta Ganglion Cells in Cat Retina, Old Version

K function of a model

Hyper Data Frame

Histogram of Pixel Values in an Image

Simulate point patterns using the Metropolis-Hastings algorithm.

Perspective Plot of Pixel Image

Gorilla Nesting Sites

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

Test Whether An Object Is A Pixel Image

Make Pixel Images Compatible

Create a Function Value Table

Divide Point Pattern into Sub-patterns

pairdist.default

Pairwise distances

Fit Cluster or Cox Point Process Model

pairwise.family

Pairwise Interaction Process Family

Test Whether A Point Process Model is Marked

Find Largest Circle Inside Window

Kaplan-Meier and Reduced Sample Estimator using Histograms

Linear K Function

Harkness-Isham ants' nests data

Inverse-distance weighted smoothing of observations at irregular points

Humberside Data on Childhood Leukaemia and Lymphoma

inforder.family

Infinite Order Interaction Family

Inhomogeneous Neighbourhood Density Function

Generate N Uniform Random Points in Any Dimensions

Area of a Window

Methods for Multidimensional Space-Time Point Patterns

Create a Linear Network

Local pair correlation function

Compute Disc of Given Radius in Linear Network

Generate N Random Multitype Points

Marks of a Point Pattern

Integral of a Pixel Image

Bootstrap Confidence Bands for Summary Function

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Methods for Fitted Point Process Models on a Linear Network

Neighbourhood density function

model.matrix.ppm

Extract Design Matrix from Point Process Model

spatstat.options

Internal Options in Spatstat Package

Create Pixel Image on Linear Network

Colour Lookup Tables

Castilla-La Mancha Forest Fires

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Loglikelihood of Spatial Logistic Regression

Create a Window

Fit Point Process Model to Point Pattern on Linear Network

Coefficients of Fitted Spatial Logistic Regression Model

Identify Covariates Involved in each Model Term

Perfect Simulation of the Strauss Process

Methods for Intensity Functions of Spatial Covariate

Name for Unit of Length

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Intensity of a Dataset or a Model

Weighted kernel smoother

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Convert Point Pattern to Pixel Image

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

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

Cartesian Coordinates for a Pixel Raster

Summary of a Point Pattern Dataset

Ponderosa Pine Tree Point Pattern

Kimboto trees at Paracou, French Guiana

Rounding of Pixel Values

Pairwise distances between line segments

Multidimensional Space-Time Point Pattern

Pairwise Distances in Any Dimensions

Areas of Morphological Dilations

Pair Correlation Function of Point Pattern

Geometrical Calculations for Multi-Dimensional Box

Simulate from a Fitted Point Process Model

Delaunay Triangulation of Point Pattern

Nearest Neighbours in Any Dimensions

Simulate a Fitted Cluster Point Process Model

Nonparametric Estimate of Spatially-Varying Relative Risk

Divide Image Into Sub-images

Generate a Quadrature Scheme from a Point Pattern

Evaluate Expression Involving Function Arrays

Convert Spatial Object to Pixel Image

Plot a List of Things

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Perfect Simulation of the Strauss-Hardcore Process

Convert Polygonal Region into Different Format

Generate grid of parallel lines with random displacement

Pool Data from Several Function Arrays

Summarizing a Quadrature Scheme

Set Covariance of a Window

Poisson Point Process on a Linear Network

Three Dimensional Point Pattern

Approximate a Polygon by a Simpler Polygon

summary.splitppp

Summary of a Split Point Pattern

Subset of Quadrature Scheme

Distance Between Two Point Patterns

Check Whether Point Process Model is Valid

Estimate window from points alone

Divide Region into Quadrats

Identify Segments in a Line Segment Pattern

Inhomogeneous Empty Space Function

Print Brief Details of a Line Segment Pattern Dataset

Extract Subset of Line Segment Pattern

Intensity of Fitted Point Process Model

Rotate a Line Segment Pattern

Convert Line Segment Pattern to Binary Pixel Mask

Volume of an Object

Test Whether Marks Are Present

Apply Vector Translation To Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Third order summary statistic

Set Control Parameters for Metropolis-Hastings Algorithm.

Allard-Fraley Estimator of Cluster Feature

The Fiksel Interaction

Distance Map of Window

Inhomogeneous Linear Pair Correlation Function

Simulate a Fitted Spatial Logistic Regression Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Randomly Shift a Line Segment Pattern

Determine Duplicated Points in a Spatial Point Pattern

Extract Unique Points from a Spatial Point Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Update a Fitted Point Process Model

Update a Fitted Cluster Point Process Model

Reflect In Origin

Vertices of a Window

Smooth a Signed or Vector-Valued Measure

Interaction Distance of a Point Process

Saturated Pairwise Interaction model

Superimpose Several Geometric Patterns

Exchange X and Y Coordinates

Weighted Histogram

Pseudoscore Diagnostic For Fitted Model against General Alternative

Analysis of Deviance for Spatial Logistic Regression Models

Theoretical Distribution of Nearest Neighbour Distance

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Beadlet Anemones Data

Methods for Multi-Dimensional Box

Test Whether a Window is Convex

Summarizing a Fitted Point Process Model

Nearest Neighbour Map as a Function

Generate a Default Pattern of Dummy Points

Create a Line Segment Pattern

Convert Pixel Image to Matrix or Array

Diggle's Heather Data

Methods for Cluster Point Process Models

Stoyan's Rule of Thumb for Bandwidth Selection

Apply Vector Translation To Line Segment Pattern

Convert Pixel Image to Matrix

Morphological Opening

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Cross Validated Bandwidth Selection for Spatial Smoothing

Collapse Several Function Tables into One

Contour plot of pixel image

Convex Hull of Points

Class of Quadrature Schemes

Simulate Matern Model I

Default Expansion Rule for Simulation of Model

Create a Point Matching

Simulate Baddeley-Silverman Cell Process

Geometrical Calculations for Three-Dimensional Box

Diameter of a Window

Compute Quadrature Weights Based on Grid Counts

Simulate Simple Sequential Inhibition

Marked J Function

spatstat-internal

Internal spatstat functions

Window in Shape of Letter R

Uniform Random Points on a Linear Network

Murchison gold deposits

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Hybrid Interaction Point Process Model

The Strauss Point Process Model

Fit the Thomas Point Process by Minimum Contrast

The Triplet Point Process Model

Spatial Function Class

Cut margins from rectangle

Clark and Evans Aggregation Index

Union of Data and Dummy Points

Multitype pair correlation function (cross-type)

Test Expansion Rule

Convert Data to Three-Dimensional Box

Plot a fitted cluster point process

Variance-Covariance Matrix for a Fitted Point Process Model

Convert Data To Class owin

Plot a Spatial Window

Distance to Boundary of Window

Centroid of a window

Tropical rain forest trees

Class of Fitted Point Process Models

Print Brief Details of an Image

Distance to Boundary of Window

Multi-Dimensional Box

Print Brief Details of a Point Pattern Dataset

Convert Pixel Image from Numeric to Factor

Areas of Morphological Erosions

Perfect Simulation of the Hardcore Process

Create List of Plotting Layers

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Methods for Linear Networks

model.frame.ppm

Extract the Variables in a Point Process Model

Rotate a Point Pattern

Generate Poisson Point Pattern on Line Segments

Randomly Shift a Point Pattern

Saturated Pairwise Interaction Point Process Family

Pair Correlation Function of a Three-Dimensional Point Pattern

Multitype K Function (i-to-any)

Locally Scaled K-function

Sufficient Statistic of Point Process Model

Class of Point Patterns

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Multitype L-function (i-to-any)

Predict Point Process Model on Linear Network

Piecewise Constant Saturated Pairwise Interaction Point Process Model

as.data.frame.im

Convert Pixel Image to Data Frame

Fit the Neyman-Scott cluster process with Cauchy kernel

Test Whether Function Objects Are Compatible

Print a Fitted Point Process Model

Print Progress Reports

Distance Map of Line Segment Pattern

Perfect Simulation of the Diggle-Gratton Process

Convert Window to Another Unit of Length

Lansing Woods Point Pattern

Plot a List of Things

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

licence.polygons

Restricted Licence Conditions for Polygon Calculations

Inhomogeneous J-function

The Piecewise Constant Pairwise Interaction Point Process Model

Nearest neighbours in three dimensions

Spatial Scan Test

Combine Function Value Tables

Spokes pattern of dummy points

spatstat-deprecated

Deprecated spatstat functions

Partial Residuals for Point Process Model

Interactively Add Points

California Redwoods Point Pattern (Ripley's Subset)

Artificial Data Point Pattern

Random Re-Labelling of Point Pattern

plot.bermantest

Plot Result of Berman Test

Simulate a Fitted Gibbs Point Process Model

envelope.envelope

Recompute Envelopes

Plot a Simulation Envelope

Divide Multidimensional Point Pattern into Sub-patterns

Place Points Evenly Along Specified Lines

Weighted Empirical Cumulative Distribution Function

Empirical Intensity of Point Pattern

Test whether Object is Multitype

Test Whether An Object Is A Window

Force Point Process Model to be Valid

Convert Point Pattern to Another Unit of Length

Extract or Replace Subset of a List of Things

Spherical Contact Distribution Function

Multitype J Function (i-to-any)

Nearest neighbour distances

New Zealand Trees Point Pattern

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Convert to Pixel Image

Inhomogeneous Pair Correlation Function

Create a Tessellation

Define Point Process Model for Metropolis-Hastings Simulation.

Bandwidth Selection Based on Window Geometry

Safely Convert Point Pattern Window to Binary Mask

Infinite Straight Lines

Plot Pixel Image on Linear Network

Aherne's hamster tumour data

Inhomogeneous Multitype L Dot Function

Exponential Energy Marks

Plot a List of Point Patterns

pool.quadrattest

Pool Several Quadrat Tests

Kolmogorov-Smirnov Test for Point Process Model

Methods for Spatial Functions

Multitype K Function (Cross-type)

Signed or Vector-Valued Measure

Reduced Second Moment Measure

Quadrat counting for a point pattern

Interpolate a Pixel Image

Added Variable Plot for Point Process Model

quadratresample

Resample a Point Pattern by Resampling Quadrats

Apply Affine Transformation To Pixel Image

Difference of Disc Areas

Pairwise distances in Three Dimensions

Specify Simulation Window or Expansion Rule

Pairwise distances

Convert to Pixel Image on Linear Network

Rotate a Pixel Image

Fit the Neyman-Scott cluster process with Cauchy kernel

Convert and Compare Colours in Different Formats

Apply Vector Translation To Window

Mosaic Random Field

complement.owin

Take Complement of a Window

delaunay.distance

Distance on Delaunay Triangulation

Convert Line Segment Pattern to Pixel Image

Plot a Pixel Image

Urkiola Woods Point Pattern

Plot a Signed or Vector-Valued Measure

Prediction from a Fitted Cluster Point Process Model

Morphological Dilation

vargamma.estpcf

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

Print Brief Details of a Spatial Window

Distance Map as a Function

Inhomogeneous Nearest Neighbour Function

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

Spruces Point Pattern

Distance Map of Point Pattern

Class of Line Segment Patterns

Methods for Spatial Logistic Regression Models

Model Formulae for Gibbs Point Process Models

quadrat.test.splitppp

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

Reduced Sample Estimator using Histogram Data

Number of Points in a Point Pattern

Create a Pixel Image Object

Scots pines and other trees at Hyytiala

Test Whether An Object Is Empty

Simulate Stratified Random Point Pattern

Test Whether An Object Is A Fitted Point Process Model

Linear Pair Correlation Function

Residuals for Fitted Point Process Model

Mark Correlation Integral

rPoissonCluster

Simulate Poisson Cluster Process

scaletointerval

Rescale Data to Lie Between Specified Limits

Cells in Gastric Mucosa

Nearest neighbour distances in three dimensions

Fry Plot of Point Pattern

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

plot.influence.ppm

Plot Influence Measure

Compute Areas of Tiles in a Tessellation

Plot a linear network

plot a Spatial Line Segment Pattern

Pool Data from Several Ratio Objects

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Generate N Uniform Random Points in a Disc

Summary of a List of Things

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Extract Subset of Multidimensional Point Pattern

Plot a Function Array

pppmatching.object

Class of Point Matchings

Model Compensator of Nearest Neighbour Function

Marked Nearest Neighbour Distance Function

Apply Affine Transformation To Window

Estimate the J-function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Pairwise distances between two different line segment patterns

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

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Evaluate Expression Involving Pixel Images

Rectangular grid of points

Test Whether Objects Are Compatible

Point Patterns of New Brunswick Forest Fires

Nearest Neighbour Distances in Any Dimensions

Pair Correlation Function

plot.leverage.ppm

Plot Leverage Function

Plot a Fitted Spatial Logistic Regression

project2segment

Move Point To Nearest Line

Simulate Log-Gaussian Cox Process

Smoothing Estimate of Covariate Transformation

Smoothed Relative Density of Pairs of Covariate Values

Determine Initial State for Metropolis-Hastings Simulation.

Generate Poisson Point Pattern in Three Dimensions

Simulate systematic random point pattern

plot a Spatial Point Pattern

Data Sharpening of Point Pattern

Apply Vector Translation

Spatial smoothing of observations at irregular points

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

Summary of a Spatial Window

Read Point Pattern From Data File

The Hard Core Point Process Model

Diggle-Gratton model

Identify Pixelwise Maximum of Several Pixel Images

K-function of a Three-Dimensional Point Pattern

Nearest Neighbour Distance Function G

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Biological Cells Point Pattern

Pixel Image Approximation of a Window

is.multitype.ppm

Test Whether A Point Process Model is Multitype

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Japanese Pines Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Plot Function Values

Number of Line Segments in a Line Segment Pattern

Create a Point Pattern

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

rescue.rectangle

Convert Window Back To Rectangle

Three-Dimensional Box

Random Perturbation of a Point Pattern

Fit the Thomas Point Process by Minimum Contrast

Generate N Uniform Random Points

Summarise Marks in Every Neighbourhood in a Point Pattern

Pixel Values Along a Transect

Extract Subset of Function Array

Extract.splitppp

Extract or Replace Sub-Patterns

Empty Space Function of a Three-Dimensional Point Pattern

Foxall's Distance Functions

Lambert's W Function

Generic Ord Interaction model

Apply Affine Transformation To Line Segment Pattern

Hughes' Amacrine Cell Data

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Chicago Street Crime Data

Pairwise distances between two different point patterns

Crossing Points of Two Line Segment Patterns

Compute Images of Constructed Covariates

multiplicity.ppp

Count Multiplicity of Duplicate Points

Scatterplot Matrix for Pixel Images

plot.hyperframe

Plot Entries in a Hyperframe

plot a Spatial Quadrature Scheme

Simulate Matern Cluster Process

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Summarizing a Pixel Image

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Trees in Waka national park

Random Thinning

Extract Interaction Structure

Simulate Gauss-Poisson Process

Plot a plotppm Object Created by plot.ppm

Berman-Huntington points and lines data

Inhomogeneous Linear K Function

Simulate Thomas Process

Estimate the I-function

Inhomogeneous K-function

Residual K Function

Generic Pairwise Interaction model

Beta Ganglion Cells in Cat Retina

Cross Validated Bandwidth Selection for Kernel Density

Circumradius and Diameter of a Linear Network

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Classify Points in a Point Pattern

Convolution of Pixel Images

Convert Data to Numeric Values by Constructing Dummy Variables

Extract the Interaction from a Fitted Point Process Model

Extract or Change the Plot Formula for a Function Value Table

Test Whether Points Are Inside A Window

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Methods for Three-Dimensional Box

Fit the Matern Cluster Point Process by Minimum Contrast

Marks of a Line Segment Pattern

Lurking variable plot

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Nearest Neighbour Clutter Removal

Pair Correlation Function obtained from K Function

Plot a Colour Map

Q-Q Plot of Residuals from Fitted Point Process Model

Convert Window to Pixel Image

Sample Quantiles of Pixel Image

Convert Line Segment Pattern to Another Unit of Length

Generate Poisson Point Pattern in Any Dimensions

Simulated Point Pattern

Swedish Pines Point Pattern

Triplet Interaction Family

Convert Data To Class psp

Test Whether Object is a Hybrid

Basis for Harmonic Functions

Berman's Tests for Point Process Model