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spatstat (version 1.32-0)

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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Version

Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.32-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

August 13th, 2013

Functions in spatstat (1.32-0)

Inhomogeneous Nearest Neighbour Function

Inhomogeneous Cross K Function

Extract Subset of Function Array

Difference of Disc Areas

Convert Data To Class psp

Multi-Dimensional Box

Difference of Disc Areas

The Strauss Point Process Model

Apply Function to Every Neighbourhood in a Point Pattern

Centroid of a window

Morphological Dilation

Generic Pairwise Interaction model

Evaluate Expression Involving Pixel Images

Marked Nearest Neighbour Distance Function

Intersect Infinite Straight Lines with a Window

Extract.layered

Extract Subset of a Layered Object

The Piecewise Constant Pairwise Interaction Point Process Model

Diggle-Gratton model

Murchison gold deposits

Hybrid Interaction Point Process Model

Harkness-Isham ants' nests data

The Fiksel Interaction

Convert Data to Three-Dimensional Box

Apply Geometrical Transformations to Point Pattern on a Linear Network

Inhomogeneous Empty Space Function

Multitype J Function (i-to-j)

licence.polygons

Restricted Licence Conditions for Polygon Calculations

Marks of a Line Segment Pattern

Reset Values in Subset of Image

The Connected Component Process Model

Hutchings' Bramble Canes data

Hybrid Geyer Point Process Model

delaunay.distance

Distance on Delaunay Triangulation

Test Whether An Object Is A Fitted Point Process Model

Ord's Interaction model

Multitype J Function (i-to-any)

Create Colour Scheme for a Range of Numbers

Extract Subset of Linear Network

Border Region of a Window

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

The Soft Core Point Process Model

Estimate the I-function

Loglikelihood of Spatial Logistic Regression

complement.owin

Take Complement of a Window

Tropical rain forest trees

compatible.fasp

Test Whether Function Arrays Are Compatible

Gorilla Nesting Sites

Extract or Change the Plot Formula for a Function Value Table

Beadlet Anemones Data

Plot a List of Point Patterns

Estimate the empty space function F

Determine A Common Spatial Domain And Pixel Resolution

Model Compensator of Nearest Neighbour Function

Convert Function Value Table to Function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Extract Subset of Signed or Vector Measure

Methods for Fitted Interactions

Extract Subset of Line Segment Pattern

Plot a List of Things

Distance Map as a Function

clarkevans.test

Clark and Evans Test

Diagnostics for random marking

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Residual Diagnostics for Multiple Fitted Models

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Inhomogeneous Neighbourhood Density Function

Convert Pixel Image from Numeric to Factor

The Area Interaction Point Process Model

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Apply Affine Transformation To Window

Apply Function to Image Broken Down by Factor

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Plot a Colour Map

Allard-Fraley Estimator of Cluster Feature

Calculate Derivative of Function Values

Generic Ord Interaction model

Connected components of a point pattern

ANOVA for Fitted Point Process Models

The Multitype Hard Core Point Process Model

Class of Images

Fit the Neyman-Scott cluster process with Cauchy kernel

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Apply Affine Transformation To Line Segment Pattern

Interpolate a Pixel Image

Artificial Data Point Pattern

Inhomogeneous K-function

Test Whether An Object Is A Window

Extract or Replace Subset of Point Pattern

Convert Pixel Image to Matrix or Array

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

The Lennard-Jones Potential

Geometrical Calculations for Multi-Dimensional Box

Convert and Compare Colours in Different Formats

Third order summary statistic

Distance to Boundary of Window

Extract Interaction Structure

plot.hyperframe

Plot Entries in a Hyperframe

Test Whether Function Objects Are Compatible

Areas of Morphological Erosions

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Compute Disc of Given Radius in Linear Network

Calculate four standard summary functions of a point pattern.

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

Nearest neighbour

Classify Points in a Point Pattern

Pairwise distances

Convolution of Pixel Images

Intersection, Union or Set Subtraction of Two Windows

Identify Segments in a Line Segment Pattern

Prediction from a Fitted Cluster Point Process Model

Simulate Log-Gaussian Cox Process

Compute Quadrature Weights Based on Grid Counts

Pine saplings in Finland.

Interactively join vertices on a plot

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Make Pixel Images Compatible

Test Whether A Point Process Model is Marked

vargamma.estpcf

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

Multidimensional Space-Time Point Pattern

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Apply Affine Transformation

Default Expansion Rule for Simulation of Model

Plot a plotppm Object Created by plot.ppm

Test Whether Marks Are Present

Poisson Point Process Model

Infinite Straight Lines

Extract the Interaction from a Fitted Point Process Model

Find Line Segment Nearest to Each Point

Endpoints of Line Segment Pattern

Interactively Add Points

Methods for Cluster Point Process Models

Humberside Data on Childhood Leukaemia and Lymphoma

Window in Shape of Letter R

Circumradius and Diameter of a Linear Network

envelope.envelope

Recompute Envelopes

Progress Plot of Test of Spatial Pattern

Morphological Erosion

Weighted Empirical Cumulative Distribution Function

Test Whether a Window is Convex

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Parameter influence measure

Mark Connection Function

Plot a Simulation Envelope

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Evaluate Expression Involving Functions

Apply Affine Transformation To Pixel Image

Colour Lookup Tables

Apply a Function to a Point Pattern Broken Down by Factor

Optimise Irregular Trend Parameters in Point Process Model

Influence Measure for Spatial Point Process Model

Inhomogeneous Multitype L Dot Function

Inhomogeneous Cross Type L Function

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Create a Function Value Table

Influenza Virus Proteins

Convert Line Segment Pattern to Binary Pixel Mask

Convex Hull of Points

Concatenate x,y Coordinate Vectors

Methods for Spatial Functions

Methods for three-dimensional point patterns

California Redwoods Point Pattern (Ripley's Subset)

Distance Map of Window

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Reduced Sample Estimator using Histogram Data

Signed or Vector-Valued Measure

Class of Point Patterns

Areas of Morphological Dilations

Morphological Closing

Simulate a Fitted Cluster Point Process Model

Simulation Envelopes of Summary Function

Nearest Neighbour Map as a Function

Diameter of an Object

People in Gordon Square

Pairwise distances between two different three-dimensional point patterns

Interpret Fitted Model for Metropolis-Hastings Simulation.

Simulate a Fitted Spatial Logistic Regression Model

Multitype pair correlation function (cross-type)

Create a Linear Network

Pair Correlation Function obtained from K Function

Apply Smoothing to Function Values

Orientation Angles of Line Segments

The Hard Core Point Process Model

Point Patterns of New Brunswick Forest Fires

Cartesian Coordinates for a Pixel Raster

Partial Residuals for Point Process Model

Mark of Nearest Neighbour

Biological Cells Point Pattern

Theoretical Distribution of Nearest Neighbour Distance

Simulate Gauss-Poisson Process

Three Dimensional Point Pattern

Print a Fitted Point Process Model

Methods for Intensity Functions of Spatial Covariate

Methods for Point Patterns on a Linear Network

Hyper Data Frame

Pairwise distances in Three Dimensions

Smoothing Estimate of Covariate Transformation

Methods for Units

Generate Poisson Point Pattern on Line Segments

Generate N Uniform Random Points in Any Dimensions

plot a Spatial Line Segment Pattern

Generate N Random Points

Compute Images of Constructed Covariates

Random Re-Labelling of Point Pattern

Print Brief Details of a Point Pattern Dataset

Fit Point Process Model to Point Pattern on Linear Network

Rectangular grid of points

Make Periodic Copies of a Spatial Pattern

Extract Fitted Point Process Model

Perspective Plot of Pixel Image

Determine Duplicated Points in a Spatial Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Distribution Function of Interpoint Distance

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Generate Multitype Poisson Point Pattern

Simulated Point Pattern

Beta Ganglion Cells in Cat Retina

Kernel Smoothed Intensity of Point Pattern

Generate Poisson Point Pattern in Any Dimensions

Approximate a Polygon by a Simpler Polygon

Create Pixel Image on Linear Network

Number of Line Segments in a Line Segment Pattern

Extract Subset of Function Values

Simulation Envelopes of Summary Function for 3D Point Pattern

Test Whether Object is a Hybrid

Dummy Function Returns Number of Points

Extract or Replace Subset of Tessellation

Swedish Pines Point Pattern

Print Brief Details of an Image

Area of Part of Disc

Residual G Function

Plot a three-dimensional point pattern

Geometrical Calculations for Three-Dimensional Box

Mosaic Random Field

Bronze gradient filter data

Estimate the J-function

Ponderosa Pine Tree Point Pattern

Interaction Distance of a Point Process

Check Whether Point Process Model is Valid

Distance Between Two Point Patterns

Create Colour-Valued Pixel Image

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Pairwise distances

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

Evaluate an Expression in a Function Table

Pair Correlation Function of Point Pattern

Fitted Conditional Intensity for Point Process Model

Function Arrays for Spatial Patterns

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Generate a Quadrature Scheme from a Point Pattern

Inhomogeneous J-function

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Pair Correlation Function of a Three-Dimensional Point Pattern

Create a Line Segment Pattern

Smoothed Relative Density of Pairs of Covariate Values

Methods for Multidimensional Space-Time Point Patterns

Nearest neighbour distances

Print Introduction For Beginners

Convert dataset to another unit of length

Extract.splitppp

Extract or Replace Sub-Patterns

Envelope for Point Patterns on Linear Network

Extract Subset of Window

K-function using FFT

Convert Pixel Image to Matrix

Simulate Baddeley-Silverman Cell Process

Distance for a Point Pattern Matching

Japanese Pines Point Pattern

Print Brief Details of a Line Segment Pattern Dataset

Print Progress Reports

Generate Poisson Random Line Process

Plot a linear network

Poisson Point Process on a Linear Network

Rotate a Line Segment Pattern

Inverse-distance weighted smoothing of observations at irregular points

Scott's Rule for Bandwidth Selection for Kernel Density

Convert Window to Another Unit of Length

Apply Vector Translation To Pixel Image

Extract List of Tiles in a Tessellation

Test Whether Objects Are Compatible

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

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Plot a tessellation

Define Point Process Model for Metropolis-Hastings Simulation.

Pool Data from Several Envelopes

Create List of Plotting Layers

Apply Affine Transformation To Point Pattern

Place Points Evenly Along Specified Lines

Integral of a Pixel Image

Test Expansion Rule

Compute Integral of Function Against Cumulative Distribution

Empty Space Function of a Three-Dimensional Point Pattern

Simulate systematic random point pattern

Compute Quadratic Forms

Inhomogeneous Pair Correlation Function

Test Whether An Object Is A Point Pattern

Hughes' Amacrine Cell Data

Subdivide a Window or Tessellation using a Set of Lines

Combine Two Line Segment Patterns

Identify Covariates Involved in each Model Term

Extract or Replace Subset of a List of Things

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Fit the Thomas Point Process by Minimum Contrast

Divide Point Pattern into Sub-patterns

spatstat-deprecated

Deprecated spatstat functions

Pixel Image Approximation of a Window

Area of a Window

bounding.box.xy

Convex Hull of Points

Kaplan-Meier Estimator using Histogram Data

Pool Data from Several Function Arrays

Spruces Point Pattern

Pairwise distances between two point patterns on a linear network

Fit the Matern Cluster Point Process by Minimum Contrast

Berman's Tests for Point Process Model

Plot a List of Things

Fit the Neyman-Scott cluster process with Cauchy kernel

Generate N Uniform Random Points in Three Dimensions

Set Control Parameters for Metropolis-Hastings Algorithm.

Reduced Second Moment Measure

Apply Numerical Rounding to Spatial Coordinates

Convert Data to Hyperframe

K function of a model

Divide Region into Quadrats

Apply Gaussian Blur to a Pixel Image

Set Covariance of a Window

Force Point Process Model to be Valid

Safely Convert Point Pattern Window to Binary Mask

Mark Correlation Integral

Distance to Boundary of Window

Multitype K Function (Cross-type)

Detect Numerical Rounding

Random Thinning

Weighted kernel smoother

Multitype L-function (i-to-any)

Smooth a Signed or Vector-Valued Measure

Determine Initial State for Metropolis-Hastings Simulation.

Print Names and Version Numbers of Libraries Loaded

Spherical Contact Distribution Function

Exponential Energy Marks

Convert Data To Class owin

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Pixel Values Along a Transect

Generate Poisson Point Pattern

Cross Validated Bandwidth Selection for Relative Risk Estimation

Extract Unique Points from a Spatial Point Pattern

Extract Subset of Multidimensional Point Pattern

Saturated Pairwise Interaction model

Simulate Thomas Process

The Strauss / Hard Core Point Process Model

Methods for Spatial Logistic Regression Models

Collapse Several Function Tables into One

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Simulate Simple Sequential Inhibition

Summary of a Point Pattern Dataset

The Multitype Strauss Point Process Model

Read Point Pattern From Data File

Combine Function Value Tables

Midpoints of Line Segment Pattern

inforder.family

Infinite Order Interaction Family

Print a Quadrature Scheme

Spatial smoothing of observations at irregular points

Histogram of Pixel Values in an Image

Function Value Table

Marked J Function

Convert Polygonal Region into Different Format

Marked K-Function

Vertices of a Window

Morphological Opening

Point and Click Interface for Displaying Spatial Data

Convert Line Segment Pattern to Pixel Image

Plot Function Values

Class of Fitted Point Process Models

Perimeter Length of Window

Convert to Pixel Image on Linear Network

Galaxies in the Shapley Supercluster

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Marks of a Point Pattern

Apply Scalar Dilation

Generate Random Numbers of Points for Cell Process

Simple Example of Linear Network

Plot a fitted cluster point process

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Log Likelihood and AIC for Point Process Model

Inhomogeneous Linear K Function

Quadrature Scheme Based on Pixel Grid

Hybrid Interaction Family

Neighbourhood density function

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Weighted Histogram

Number of Points in a Point Pattern

Chorley-Ribble Cancer Data

Rotate a Point Pattern

Pool Data from Several Ratio Objects

Leverage Measure for Spatial Point Process Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Lambert's W Function

Contour plot of pixel image

Simulate Stratified Random Point Pattern

Bandwidth Selection Based on Window Geometry

Distance Map of Line Segment Pattern

Pairwise distances

crossdist.default

Pairwise distances between two different sets of points

Predict Point Process Model on Linear Network

ANOVA for Fitted Point Process Models on Linear Network

Pseudoscore Diagnostic For Fitted Model against General Alternative

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Delaunay Triangulation of Point Pattern

Rotate a Window

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Cut margins from rectangle

Summary of a List of Things

Kernel Smoothing of Line Segment Pattern

Locally Scaled K-function

Aherne's hamster tumour data

Methods for Multi-Dimensional Box

Empirical Intensity of Point Pattern on Linear Network

Local pair correlation function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Linear K Function

Volume of an Object

List Dihedral Triples in a Graph

Multitype K Function (i-to-any)

Chicago Street Crime Data

Methods for Linear Networks

Model Compensator of K Function

Interactively Define a Polygon

Create a Window

Create Point Pattern on Linear Network

Lengths of Line Segments

model.matrix.ppm

Extract Design Matrix from Point Process Model

Level Set of a Pixel Image

Plot a Function Array

Pairwise distances between two different line segment patterns

Inhomogeneous Linear Pair Correlation Function

Spatial Logistic Regression

Subset of Quadrature Scheme

Evaluate Expression Involving Function Arrays

Fit Cluster or Cox Point Process Model

rPoissonCluster

Simulate Poisson Cluster Process

Apply Vector Translation To Line Segment Pattern

as.data.frame.im

Convert Pixel Image to Data Frame

Three-Dimensional Box

Pair Correlation Function obtained from array of K functions

Simulate a Fitted Gibbs Point Process Model

Method of Minimum Contrast

Intensity of a Dataset or a Model

Diagnostic Plots for Fitted Point Process Model

Convert Data To Tessellation

Longleaf Pines Point Pattern

plot.influence.ppm

Plot Influence Measure

Crossing Points of Two Line Segment Patterns

Apply Vector Translation

Berman-Huntington points and lines data

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

spatstat-package

The Spatstat Package

Methods for Fitted Point Process Models on a Linear Network

Intensity of Fitted Point Process Model

Update a Fitted Cluster Point Process Model

Perfect Simulation of the Hardcore Process

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

Record the Computation Time

Multitype L-function (cross-type)

Lurking variable plot

Generate N Uniform Random Points

Nearest Neighbour Distance Function G

Plot a Fitted Spatial Logistic Regression

Pairwise distances between two different point patterns

Exchange X and Y Coordinates

pairwise.family

Pairwise Interaction Process Family

Kaplan-Meier and Reduced Sample Estimator using Histograms

Kimboto trees at Paracou, French Guiana

Nearest Neighbours in Any Dimensions

Analysis of Deviance for Spatial Logistic Regression Models

Basis for Harmonic Functions

Triplet Interaction Family

Cells in Gastric Mucosa

Profile Maximum Pseudolikelihood

Identify Pixelwise Maximum of Several Pixel Images

The Triplet Point Process Model

Plot a Signed or Vector-Valued Measure

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Create a Tessellation

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Perfect Simulation of the Strauss-Hardcore Process

Test whether Object is Multitype

matclust.estpcf

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

Divide Image Into Sub-images

Print News About Latest Version of Package

Inhomogeneous Multitype K Dot Function

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

methods.layered

Methods for Layered Objects

Recognise Stationary and Poisson Point Process Models

Castilla-La Mancha Forest Fires

Determine Whether One Window is Contained In Another

Scatterplot Matrix for Pixel Images

nearest.raster.point

Find Pixel Nearest to a Given Point

Specify Simulation Window or Expansion Rule

Nearest neighbours in three dimensions

Identify Points in a Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Pairwise distances between line segments

Convert Window to Pixel Image

Convert Data To Class fv

Class of Quadrature Schemes

Extract Original Data from a Fitted Point Process Model

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Convert Line Segment Pattern to Another Unit of Length

Mark Correlation Function

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

Convert Spatial Object to Pixel Image

Spatial Covariance of a Pixel Image

Nearest Neighbour Distances in Any Dimensions

Pair Correlation Function

Diameter of a Window

Plot a Pixel Image

Coefficients of Fitted Point Process Model

Geyer's Saturation Point Process Model

Divide Multidimensional Point Pattern into Sub-patterns

rescue.rectangle

Convert Window Back To Rectangle

Dirichlet Tessellation of Point Pattern

plot a Spatial Quadrature Scheme

Generate N Random Multitype Points

Cross Validated Bandwidth Selection for Spatial Smoothing

Fit Point Process Model to Data

Create a Point Matching

Random Perturbation of a Point Pattern

Simulate Neyman-Scott Process

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

Summarise Marks in Every Neighbourhood in a Point Pattern

Scots pines and other trees at Hyytiala

Data and Code From JRSS Discussion Paper on Residuals

Lansing Woods Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

model.frame.ppm

Extract the Variables in a Point Process Model

Estimate window from points alone

summary.splitppp

Summary of a Split Point Pattern

quadrat.test.splitppp

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

Sample Quantiles of Pixel Image

Connected components

Clark and Evans Aggregation Index

plot a Spatial Point Pattern

Uniform Random Points on a Linear Network

Plot a Spatial Window

project2segment

Move Point To Nearest Line

Convert Data to Numeric Values by Constructing Dummy Variables

Nearest Neighbours Between Two Patterns in 3D

Convert Data To Class ppp

Define Point Process Model for Metropolis-Hastings Simulation.

Create a Point Pattern

Nearest neighbour distances in three dimensions

Spatial Scan Test

Q-Q Plot of Residuals from Fitted Point Process Model

spatstat-internal

Internal spatstat functions

Pairwise shortest-path distances between points on a linear network

Circular Window

Nonparametric Estimate of Spatially-Varying Relative Risk

Methods for Three-Dimensional Box

K-th Nearest Point Map

Extract Subset of Point Pattern on Linear Network

Test Whether A Point Pattern is Marked

Perfect Simulation of the Strauss Process

Variance-Covariance Matrix for a Fitted Point Process Model

Foxall's Distance Functions

Summarizing a Pixel Image

Class of Line Segment Patterns

quadratresample

Resample a Point Pattern by Resampling Quadrats

tweak.colourmap

Change Colour Values in a Colour Map

Stoyan's Rule of Thumb for Bandwidth Selection

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Test Whether Pixel Images Are Compatible

Saturated Pairwise Interaction Point Process Family

Test Whether An Object Is A Pixel Image

Update a Fitted Point Process Model

Generate Poisson Point Pattern in Three Dimensions

Perfect Simulation of the Diggle-Gates-Stibbard Process

Residual K Function

Distance Map of Point Pattern

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Model Formulae for Gibbs Point Process Models

Diggle's Heather Data

Extract Subset of Image

Spokes pattern of dummy points

Ord Interaction Process Family

Intersection of Two Tessellations

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

Generate N Uniform Random Points in a Disc

Nearest Neighbour Clutter Removal

Summarizing a Fitted Point Process Model

Apply Vector Translation To Point Pattern

Rounding of Pixel Values

Added Variable Plot for Point Process Model

Perfect Simulation of the Diggle-Gratton Process

Nearest neighbour distances between line segments

Randomly Shift a Point Pattern

Linear Pair Correlation Function

Apply Geometrical Transformations to a Linear Network

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Nearest Neighbours Between Two Patterns

Create a Pixel Image Object

Determine Type of Window

Fitted Probabilities for Spatial Logistic Regression

Multitype pair correlation function (i-to-any)

Trees in Waka national park

Inhomogeneous Marked K-Function

Bounding Box of a Window or Point Pattern

Fry Plot of Point Pattern

pppmatching.object

Class of Point Matchings

multiplicity.ppp

Count Multiplicity of Duplicate Points

Convert to Pixel Image

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

Prediction from a Fitted Point Process Model

Compute Areas of Tiles in a Tessellation

Fit the Thomas Point Process by Minimum Contrast

K-function of a Three-Dimensional Point Pattern

Morishita Index Plot

Convert Point Pattern to Pixel Image

Print Brief Details of a Spatial Window

Simulate Matern Model I

Estimate Variance of Summary Statistic by Subdivision

Distance to Boundary of Window

Corners of a rectangle

Convert a Window to a Polygonal Window

Spatial Function Class

Convert Point Pattern to Another Unit of Length

Plot Pixel Image on Linear Network

Coefficients of Fitted Spatial Logistic Regression Model

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

plot.leverage.ppm

Plot Leverage Function

Quadrat counting for a point pattern

scaletointerval

Rescale Data to Lie Between Specified Limits

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Apply Vector Translation To Window

Generate a Default Pattern of Dummy Points

edges2triangles

List Triangles in a Graph

Summary of a Spatial Window

Convert Pixel Image to Another Unit of Length

Simulate from a Fitted Point Process Model

Sufficient Statistic of Point Process Model

Predicted or Fitted Values from Spatial Logistic Regression

Summary of a Line Segment Pattern Dataset

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

Test Whether Points Are Inside A Window

Superimpose Several Geometric Patterns

Mosaic Random Set

Summarizing a Quadrature Scheme

Extract or Replace the Plot Arguments of a Layered Object

interp.colourmap

Interpolate smoothly between specified colours

pairdist.default

Pairwise distances

Poisson Line Tessellation

Bootstrap Confidence Bands for Summary Function

Apply Expansion Rule

Simulate Matern Cluster Process

Find Largest Circle Inside Window

Rotate a Pixel Image

Beta Ganglion Cells in Cat Retina, Old Version

is.multitype.ppp

Test Whether A Point Pattern is Multitype

spatstat.options

Internal Options in Spatstat Package

plot a Fitted Point Process Model

Plot a Spatial Kolmogorov-Smirnov Test

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Generate grid of parallel lines with random displacement

Residuals for Fitted Point Process Model

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Extract Quadrature Scheme Used to Fit a Point Process Model

Randomly Shift a Line Segment Pattern

Urkiola Woods Point Pattern

Data Sharpening of Point Pattern

pool.quadrattest

Pool Several Quadrat Tests

California Redwoods Point Pattern (Entire Dataset)

plot.bermantest

Plot Result of Berman Test

Simulate point patterns using the Metropolis-Hastings algorithm.

Test Whether An Object Is Empty

New Zealand Trees Point Pattern

Pairwise Distances in Any Dimensions

Name for Unit of Length

Union of Data and Dummy Points

Simulate Matern Model II

Empirical Intensity of Point Pattern

Point and Click Interface for Exploratory Analysis of Point Pattern

Reflect In Origin