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spatstat (version 1.26-1)

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

16,015

Version

1.26-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

April 19th, 2012

Functions in spatstat (1.26-1)

Geyer's Saturation Point Process Model

Multitype J Function (i-to-j)

Harkness-Isham ants' nests data

spatstat-deprecated

Deprecated spatstat functions

Convert Function Value Table to Function

The Strauss / Hard Core Point Process Model

Marked Nearest Neighbour Distance Function

Test Whether An Object Is A Window

Multitype L-function (i-to-any)

Area of Part of Disc

Reduced Second Moment Measure

Contour plot of pixel image

Histogram of Pixel Values in an Image

Gorilla Nesting Sites

Multitype L-function (cross-type)

Estimate the I-function

Scott's Rule for Bandwidth Selection for Kernel Density

Pairwise distances between two different point patterns

Fry Plot of Point Pattern

nearest.raster.point

Find Pixel Nearest to a Given Point

Expand Window By Factor

Calculate four standard summary functions of a point pattern.

Ord's Interaction model

Create a Linear Network

Extract.splitppp

Extract or Replace Sub-Patterns

Hughes' Amacrine Cell Data

Intersection of Two Tessellations

Compute Images of Constructed Covariates

Extract Subset of Function Array

Create a Point Matching

Stoyan's Rule of Thumb for Bandwidth Selection

Plot a List of Things

Beadlet Anemones Data

Empty Space Function of a Three-Dimensional Point Pattern

Model Compensator of K Function

Convert Data To Tessellation

Area of a Window

Extract Subset of Signed or Vector Measure

Extract Original Data from a Fitted Point Process Model

Interactively Add Points

Fit the Matern Cluster Point Process by Minimum Contrast

ANOVA for Fitted Point Process Models on Linear Network

Apply Affine Transformation To Point Pattern

Plot a Signed or Vector-Valued Measure

Nearest Neighbour Clutter Removal

Chicago Street Crime Data

Residual G Function

Spatial Covariance of a Pixel Image

Diggle's Heather Data

Distance for a Point Pattern Matching

Find Largest Circle Inside Window

Estimate window from points alone

Fit Point Process Model to Point Pattern on Linear Network

Third order summary statistic

Generic Pairwise Interaction model

Humberside Data on Childhood Leukaemia and Lymphoma

Pairwise distances between line segments

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

Artificial Data Point Pattern

Influenza Virus Proteins

The Multitype Hard Core Point Process Model

Class of Images

Apply Affine Transformation To Line Segment Pattern

Convert Pixel Image from Numeric to Factor

Generate a Quadrature Scheme from a Point Pattern

Plot a Spatial Kolmogorov-Smirnov Test

Kernel Smoothed Intensity of Point Pattern

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Pair Correlation Function obtained from array of K functions

Combine Function Value Tables

Test Whether Points Are Inside A Window

Signed or Vector-Valued Measure

Apply Function to Image Broken Down by Factor

Test Whether a Window is Convex

Methods for Linear Networks

Method of Minimum Contrast

Test Whether Marks Are Present

Nearest Neighbours in Any Dimensions

Apply Gaussian Blur to a Pixel Image

Convert Data to Three-Dimensional Box

Convert Data To Class psp

Class of Point Patterns

Pairwise distances between two different three-dimensional point patterns

Linear Pair Correlation Function

Inhomogeneous Pair Correlation Function

Evaluate Expression Involving Function Arrays

Print Brief Details of a Spatial Window

Convert to Pixel Image

Pool Data from Several Envelopes

Summary of a Point Pattern Dataset

Cross Validated Bandwidth Selection for Spatial Smoothing

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Fit Cluster or Cox Point Process Model

Print News About Latest Version of Package

The Lennard-Jones Potential

Identify Covariates Involved in each Model Term

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Connected components of an image or window

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Summarizing a Fitted Point Process Model

Pair Correlation Function obtained from K Function

Nearest Neighbours Between Two Patterns

Mosaic Random Set

Plot a plotppm Object Created by plot.ppm

Pine saplings in Finland.

plot a Spatial Point Pattern

Methods for Intensity Functions of Spatial Covariate

Create Point Pattern on Linear Network

Identify Segments in a Line Segment Pattern

Place Points Evenly Along Specified Lines

Japanese Pines Point Pattern

Lengths of Line Segments

Create Colour-Valued Pixel Image

Pairwise Distances in Any Dimensions

pppmatching.object

Class of Point Matchings

Nearest neighbour distances in three dimensions

Classify Points in a Point Pattern

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Divide Region into Quadrats

pairdist.default

Pairwise distances

Poisson Line Tessellation

Compute Disc of Given Radius in Linear Network

Generate Poisson Point Pattern on Line Segments

Apply Vector Translation To Point Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Murchison gold deposits

Morphological Closing

Circular Window

Number of Line Segments in a Line Segment Pattern

Chorley-Ribble Cancer Data

Morphological Erosion

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Three-Dimensional Box

Kolmogorov-Smirnov Test for Point Process Model

Rotate a Line Segment Pattern

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

complement.owin

Take Complement of a Window

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Test Whether A Point Process Model is Marked

Border Region of a Window

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

rescue.rectangle

Convert Window Back To Rectangle

Perimeter Length of Window

Pair Correlation Function of a Three-Dimensional Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Morphological Opening

Spatial Logistic Regression

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

spatstat-package

The Spatstat Package

Extract or Replace Subset of Point Pattern

Extract or Replace Subset of a List of Things

Weighted Empirical Cumulative Distribution Function

rPoissonCluster

Simulate Poisson Cluster Process

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

pairwise.family

Pairwise Interaction Process Family

Smoothed Relative Density of Pairs of Covariate Values

Apply Affine Transformation

Lurking variable plot

Generate N Random Multitype Points

Spruces Point Pattern

Nearest neighbours in three dimensions

Convert Point Pattern to Pixel Image

Residuals for Fitted Point Process Model

Simulate Simple Sequential Inhibition

Summary of a List of Things

Convert dataset to another unit of length

Orientation Angles of Line Segments

Q-Q Plot of Residuals from Fitted Point Process Model

Randomly Shift a Line Segment Pattern

Ponderosa Pine Tree Point Pattern

Generate N Uniform Random Points in Any Dimensions

Perfect Simulation of the Diggle-Gates-Stibbard Process

Generate Multitype Poisson Point Pattern

Volume of an Object

Multi-Dimensional Box

Inverse-distance weighted smoothing of observations at irregular points

Prediction from a Fitted Cluster Point Process Model

Spatial smoothing of observations at irregular points

The Fiksel Interaction

Generate Poisson Point Pattern in Any Dimensions

Quadrature Scheme Based on Pixel Grid

Random Thinning

Locally Scaled K-function

Quadrat counting for a point pattern

Generate N Uniform Random Points

Extract List of Tiles in a Tessellation

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

Optimise Irregular Trend Parameters in Point Process Model

The Triplet Point Process Model

Leverage Measure for Spatial Point Process Model

Subdivide a Window or Tessellation using a Set of Lines

Dirichlet Tessellation of Point Pattern

Convert Line Segment Pattern to Binary Pixel Mask

Mark Correlation Integral

Multitype K Function (Cross-type)

Inhomogeneous Cross K Function

Pairwise distances

The Area Interaction Point Process Model

The Piecewise Constant Pairwise Interaction Point Process Model

Perfect Simulation of the Strauss-Hardcore Process

Envelope for Point Patterns on Linear Network

Inhomogeneous Cross Type L Function

The Strauss Point Process Model

Beta Ganglion Cells in Cat Retina

Nearest Neighbour Distances in Any Dimensions

Difference of Disc Areas

Crossing Points of Two Line Segment Patterns

Berman-Huntington points and lines data

bounding.box.xy

Convex Hull of Points

Rectangular grid of points

Hybrid Geyer Point Process Model

Dummy Function Returns Number of Points

Bounding Box of a Window or Point Pattern

Foxall's Distance Functions

Plot a List of Point Patterns

compatible.fasp

Test Whether Function Arrays Are Compatible

Colour Lookup Tables

Distance Map of Window

Basis for Harmonic Functions

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Scatterplot Matrix for Pixel Images

The Hard Core Point Process Model

Make Pixel Images Compatible

Aherne's hamster tumour data

Log Likelihood and AIC for Point Process Model

model.matrix.ppm

Extract Design Matrix from Point Process Model

plot a Spatial Line Segment Pattern

plot.hyperframe

Plot Entries in a Hyperframe

edges2triangles

List Triangles in a Graph

Pairwise distances in Three Dimensions

Distance to Boundary of Window

model.frame.ppm

Extract the Environment of a Point Process Model

Distance Map of Line Segment Pattern

Multitype pair correlation function (cross-type)

Simulation Envelopes of Summary Function for 3D Point Pattern

Generate Poisson Point Pattern

plot.influence.ppm

Plot Influence Measure

Predicted or Fitted Values from Spatial Logistic Regression

Apply Function to Every Neighbourhood in a Point Pattern

Test Whether Objects Are Compatible

Convert Line Segment Pattern to Another Unit of Length

Simulate Matern Cluster Process

Fitted Probabilities for Spatial Logistic Regression

Pair Correlation Function of Point Pattern

Fit Point Process Model to Data

Data Sharpening of Point Pattern

Plot a Colour Map

Create a Tessellation

Check Whether Point Process Model is Valid

Plot a Simulation Envelope

Pool Data from Several Ratio Objects

Multidimensional Space-Time Point Pattern

Sample Quantiles of Pixel Image

Triplet Interaction Family

Simulate a Fitted Cluster Point Process Model

Print a Quadrature Scheme

Methods for Cluster Point Process Models

Plot a fitted cluster point process

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

Set Control Parameters for Metropolis-Hastings Algorithm.

Simulate Neyman-Scott Process

Swedish Pines Point Pattern

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Spatial Scan Test

Saturated Pairwise Interaction Point Process Family

Convert Window to Another Unit of Length

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Simulate Matern Model II

Random Re-Labelling of Point Pattern

Simulate Matern Model I

Apply Vector Translation To Window

Create a Point Pattern

Estimate the J-function

Smoothing Estimate of Covariate Transformation

Multitype pair correlation function (i-to-any)

Update a Fitted Point Process Model

Biological Cells Point Pattern

plot.bermantest

Plot Result of Berman Test

Sufficient Statistic of Point Process Model

Class of Line Segment Patterns

Plot Pixel Image on Linear Network

Convert and Compare Colours in Different Formats

Interpret Fitted Model for Metropolis-Hastings Simulation.

K-function using FFT

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Extract Subset of Function Values

Apply a Function to a Point Pattern Broken Down by Factor

Perfect Simulation of the Diggle-Gratton Process

Inhomogeneous Multitype L Dot Function

Test Whether An Object Is Empty

Test Whether Function Objects Are Compatible

Apply Affine Transformation To Window

Determine Duplicated Points in a Spatial Point Pattern

Pairwise distances

Plot a Fitted Spatial Logistic Regression

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Fit the Neyman-Scott cluster process with Cauchy kernel

Generate a Default Pattern of Dummy Points

Update a Fitted Cluster Point Process Model

Perspective Plot of Pixel Image

Fitted Conditional Intensity for Point Process Model

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Nearest neighbour distances between line segments

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

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Interactively Define a Polygon

Estimate the empty space function F

Three Dimensional Point Pattern

Simulate Log-Gaussian Cox Process

Endpoints of Line Segment Pattern

Concatenate x,y Coordinate Vectors

Simulation Envelopes of Summary Function

Coefficients of Fitted Spatial Logistic Regression Model

Simulate Baddeley-Silverman Cell Process

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Convert Data to Numeric Values by Constructing Dummy Variables

Simulate point patterns using the Metropolis-Hastings algorithm.

Areas of Morphological Erosions

Test Whether An Object Is A Fitted Point Process Model

Inhomogeneous Linear Pair Correlation Function

Model Formulae for Gibbs Point Process Models

Inhomogeneous Linear K Function

crossdist.default

Pairwise distances between two different sets of points

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Linear K Function

Union of Data and Dummy Points

Multitype K Function (i-to-any)

Profile Maximum Pseudolikelihood

Urkiola Woods Point Pattern

ANOVA for Fitted Point Process Models

Summary of a Line Segment Pattern Dataset

Geometrical Calculations for Three-Dimensional Box

Recognise Stationary and Poisson Point Process Models

Diagnostic Plots for Fitted Point Process Model

Generate grid of parallel lines with random displacement

Weighted Histogram

Test whether Object is Multitype

Inhomogeneous K-function

Apply Vector Translation To Pixel Image

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Fit the Thomas Point Process by Minimum Contrast

Evaluate Expression Involving Functions

Convex Hull of Points

Generate N Uniform Random Points in Three Dimensions

Plot a tessellation

Extract or Replace Subset of Tessellation

Generate Poisson Random Line Process

Convert Data to Hyperframe

Spherical Contact Distribution Function

Reduced Sample Estimator using Histogram Data

Safely Convert Point Pattern Window to Binary Mask

Nearest neighbour

Simulate from a Fitted Point Process Model

Theoretical Distribution of Nearest Neighbour Distance

Methods for Three-Dimensional Box

Extract Subset of Image

Generic Ord Interaction model

Coefficients of Fitted Point Process Model

plot a Spatial Quadrature Scheme

Convert Window to Pixel Image

multiplicity.ppp

Count Multiplicity of Duplicate Points

Distance to Boundary of Window

plot a Fitted Point Process Model

Class of Fitted Point Process Models

Neighbourhood density function

Pseudoscore Diagnostic For Fitted Model against General Alternative

project2segment

Move Point To Nearest Line

plot.leverage.ppm

Plot Leverage Function

Bootstrap Confidence Bands for Summary Function

Pairwise shortest-path distances between points on a linear network

Simulate Gauss-Poisson Process

Marks of a Line Segment Pattern

Pixel Image Approximation of a Window

Extract Quadrature Scheme Used to Fit a Point Process Model

Hyper Data Frame

Apply Smoothing to Function Values

Nearest Neighbour Distance Function G

Nonparametric Estimate of Spatially-Varying Relative Risk

Multitype J Function (i-to-any)

The Soft Core Point Process Model

Perfect Simulation of the Strauss Process

Parameter influence measure

Simulate Thomas Process

vargamma.estpcf

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

Areas of Morphological Dilations

Print Brief Details of an Image

Rotate a Window

Read Point Pattern From Data File

Set Covariance of a Window

Evaluate an Expression in a Function Table

Morishita Index Plot

spatstat.options

Internal Options in Spatstat Package

Nearest neighbour distances

Simulate a Fitted Gibbs Point Process Model

Corners of a rectangle

Approximate a Polygon by a Simpler Polygon

Random Perturbation of a Point Pattern

Morphological Dilation

Plot a Pixel Image

Print Brief Details of a Line Segment Pattern Dataset

Ord Interaction Process Family

Print a Fitted Point Process Model

Make Periodic Copies of a Spatial Pattern

New Zealand Trees Point Pattern

Test Whether An Object Is A Pixel Image

Simulate systematic random point pattern

Create a Function Value Table

Vertices of a Window

Print Progress Reports

Apply Vector Translation To Line Segment Pattern

Methods for Spatial Logistic Regression Models

Local pair correlation function

envelope.envelope

Recompute Envelopes

Marks of a Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

Convert Point Pattern to Another Unit of Length

Compute Integral of Function Against Cumulative Distribution

Subset of Quadrature Scheme

Marked J Function

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

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

Residual K Function

Convert Pixel Image to Matrix or Array

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

Difference of Disc Areas

Marked K-Function

Pairwise distances between two different line segment patterns

Name for Unit of Length

Rounding of Pixel Values

Interactively join vertices on a plot

Integral of a Pixel Image

Convert Pixel Image to Matrix

The Multitype Strauss Point Process Model

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Loglikelihood of Spatial Logistic Regression

Inhomogeneous Multitype K Dot Function

Smooth a Signed or Vector-Valued Measure

Interpolate a Pixel Image

Fit the Thomas Point Process by Minimum Contrast

Extract the Interaction from a Fitted Point Process Model

Simulate Stratified Random Point Pattern

Test Whether An Object Is A Point Pattern

Evaluate Expression Involving Pixel Images

Function Arrays for Spatial Patterns

Intersection, Union or Set Subtraction of Two Windows

Longleaf Pines Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Create List of Plotting Layers

Cartesian Coordinates for a Pixel Raster

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Plot Function Values

matclust.estpcf

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

Plot a Spatial Window

Mosaic Random Field

Find Line Segment Nearest to Each Point

Uniform Random Points on a Linear Network

Mark Correlation Function

Saturated Pairwise Interaction model

Generate N Uniform Random Points in a Disc

Summary of a Spatial Window

Randomly Shift a Point Pattern

Poisson Point Process on a Linear Network

Identify Pixelwise Maximum of Several Pixel Images

Simulate a Fitted Spatial Logistic Regression Model

Convert Line Segment Pattern to Pixel Image

spatstat-internal

Internal spatstat functions

Exponential Energy Marks

Divide Image Into Sub-images

Generate Poisson Point Pattern in Three Dimensions

Apply Vector Translation

Number of Points in a Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Methods for three-dimensional point patterns

Extract Subset of Line Segment Pattern

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

clarkevans.test

Clark and Evans Test

Hutchings' Bramble Canes data

Distance to Boundary of Window

Collapse Several Function Tables into One

Diagnostics for random marking

Compute Quadrature Weights Based on Grid Counts

Point and Click Interface for Displaying a Point Pattern

Methods for Multidimensional Space-Time Point Patterns

Convert Data To Class owin

inforder.family

Infinite Order Interaction Family

Extract Dummy Points Used to Fit a Point Process Model

Methods for Point Patterns on a Linear Network

Mark Connection Function

Point Patterns of New Brunswick Forest Fires

Plot a three-dimensional point pattern

Methods for Fitted Point Process Models on a Linear Network

Plot a linear network

Prediction from a Fitted Point Process Model

Cut margins from rectangle

Diggle-Gratton model

Convert Data To Class ppp

Test Whether Pixel Images Are Compatible

Plot a List of Things

Spokes pattern of dummy points

Compute Quadratic Forms

Bronze gradient filter data

Summarizing a Pixel Image

Intersect Infinite Straight Lines with a Window

Model Compensator of Nearest Neighbour Function

Generate N Random Points

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Reset Values in Subset of Image

Diameter of an Object

Function Value Table

summary.splitppp

Summary of a Split Point Pattern

Midpoints of Line Segment Pattern

Convert Polygonal Region into Different Format

Exchange X and Y Coordinates

Distance Map of Point Pattern

Test Whether A Point Pattern is Marked

Distance Map as a Function

Kaplan-Meier and Reduced Sample Estimator using Histograms

methods.distfun

Methods for Distance Functions

Point and Click Interface for Exploratory Analysis of Point Pattern

Kaplan-Meier Estimator using Histogram Data

Distance Between Two Point Patterns

Kernel Smoothing of Line Segment Pattern

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Rotate a Point Pattern

Galaxies in the Shapley Supercluster

Interaction Distance of a Point Process

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Weighted kernel smoother

Compute Areas of Tiles in a Tessellation

Inhomogeneous Neighbourhood Density Function

Predict Point Process Model on Linear Network

Convert Pixel Image to Another Unit of Length

Residual Diagnostics for Multiple Fitted Models

Determine A Common Spatial Domain And Pixel Resolution

Berman's Tests for Point Process Model

Extract Interaction Structure

Diameter of a Window

Determine Whether One Window is Contained In Another

Delaunay Triangulation of Point Pattern

Geometrical Calculations for Multi-Dimensional Box

Methods for Multi-Dimensional Box

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Window in Shape of Letter R

Simulated Point Pattern

Perfect Simulation of the Hardcore Process

scaletointerval

Rescale Data to Lie Between Specified Limits

Force Point Process Model to be Valid

Convert a Window to a Polygonal Window

Extract Unique Points from a Spatial Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Poisson Point Process Model

Infinite Straight Lines

Simple Example of Linear Network

K function of a model

Clark and Evans Aggregation Index

Cross Validated Bandwidth Selection for Relative Risk Estimation

Create a Pixel Image Object

Pair Correlation Function

Level Set of a Pixel Image

Identify Points in a Point Pattern

Methods for Units

Pool Data from Several Function Arrays

Data and Code From JRSS Discussion Paper on Residuals

Create a Line Segment Pattern

California Redwoods Point Pattern (Entire Dataset)

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Create Pixel Image on Linear Network

quadratresample

Resample a Point Pattern by Resampling Quadrats

Superimpose Several Geometric Patterns

rshift.splitppp

Randomly Shift a List of Point Patterns

Class of Quadrature Schemes

Summarizing a Quadrature Scheme

Estimate Variance of Summary Statistic by Subdivision

Analysis of Deviance for Spatial Logistic Regression Models

as.data.frame.im

Convert Pixel Image to Data Frame

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

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

Compute Expansion Window for Simulation

Tropical rain forest trees

Pairwise distances

Beta Ganglion Cells in Cat Retina, Old Version

Lansing Woods Point Pattern

Create a Window

Influence Measure for Spatial Point Process Model

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Centroid of a window

Circumradius and Diameter of a Linear Network

Convert Spatial Object to Pixel Image

K-function of a Three-Dimensional Point Pattern

Divide Point Pattern into Sub-patterns

Combine Two Line Segment Patterns

Print Brief Details of a Point Pattern Dataset

Plot a Function Array

California Redwoods Point Pattern (Ripley's Subset)