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spatstat (version 1.33-0)

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

19,373

Version

1.33-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

September 5th, 2013

Functions in spatstat (1.33-0)

K function of a model

Estimate the I-function

Estimate the empty space function F

The Area Interaction Point Process Model

Apply Function to Image Broken Down by Factor

Marked J Function

Connected components

Multitype L-function (cross-type)

Extract Subset of Line Segment Pattern

Inhomogeneous Empty Space Function

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Distance to Boundary of Window

Biological Cells Point Pattern

Analysis of Deviance for Spatial Logistic Regression Models

Kernel Smoothed Intensity of Point Pattern

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Extract Subset of Multidimensional Point Pattern

Beta Ganglion Cells in Cat Retina

Convert a Window to a Polygonal Window

Multitype J Function (i-to-j)

Scott's Rule for Bandwidth Selection for Kernel Density

Convert Data To Class ppp

Interactively join vertices on a plot

Create Colour Scheme for a Range of Numbers

Cross Validated Bandwidth Selection for Relative Risk Estimation

Colour Lookup Tables

edges2triangles

List Triangles in a Graph

Intersection of Two Tessellations

Calculate Derivative of Function Values

Castilla-La Mancha Forest Fires

Rectangular grid of points

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

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Test Whether Function Objects Are Compatible

Difference of Disc Areas

Dirichlet Tessellation of Point Pattern

Residual Diagnostics for Multiple Fitted Models

Kernel Smoothing of Line Segment Pattern

Function Arrays for Spatial Patterns

Pairwise distances between two different three-dimensional point patterns

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Window in Shape of Letter R

Extract the Interaction from a Fitted Point Process Model

Nearest neighbour distances between line segments

The Fiksel Interaction

Convert to Pixel Image on Linear Network

Cross Validated Bandwidth Selection for Spatial Smoothing

Spatial smoothing of data

Berman's Tests for Point Process Model

Subdivide a Window or Tessellation using a Set of Lines

Third order summary statistic

Default Expansion Rule for Simulation of Model

Coefficients of Fitted Spatial Logistic Regression Model

The Strauss / Hard Core Point Process Model

Fitted Probabilities for Spatial Logistic Regression

Classify Points in a Point Pattern

Border Region of a Window

Convert and Compare Colours in Different Formats

Apply Gaussian Blur to a Pixel Image

Morphological Dilation

plot.leverage.ppm

Plot Leverage Function

Scots pines and other trees at Hyytiala

Calculate four standard summary functions of a point pattern.

Apply Geometrical Transformations to Point Pattern on a Linear Network

Make Pixel Images Compatible

Geyer's Saturation Point Process Model

Influence Measure for Spatial Point Process Model

Compute Quadrature Weights Based on Grid Counts

Methods for Point Patterns on a Linear Network

Intersection, Union or Set Subtraction of Two Windows

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Infinite Straight Lines

Test Whether Object is a Hybrid

Multitype L-function (i-to-any)

Generate a Default Pattern of Dummy Points

Residual K Function

as.data.frame.im

Convert Pixel Image to Data Frame

Extract Subset of Function Array

Plot a Simulation Envelope

Diameter of a Window

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Extract Original Data from a Fitted Point Process Model

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Inhomogeneous Marked K-Function

Residual G Function

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Artificial Data Point Pattern

Interactively Define a Polygon

Inhomogeneous Linear K Function

Empirical Intensity of Point Pattern on Linear Network

Area of a Window

Inhomogeneous Cross Type L Function

Reduced Second Moment Measure

Geometrical Calculations for Three-Dimensional Box

Convert Pixel Image from Numeric to Factor

Convert Line Segment Pattern to Binary Pixel Mask

Test Whether A Point Pattern is Marked

Optimise Irregular Trend Parameters in Point Process Model

Create a Point Matching

crossdist.default

Pairwise distances between two different sets of points

Difference of Disc Areas

Influenza Virus Proteins

Evaluate Expression Involving Function Arrays

Generic Pairwise Interaction model

Convert Pixel Image to Another Unit of Length

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Local pair correlation function

Summarise Marks in Every Neighbourhood in a Point Pattern

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Test Whether Objects Are Compatible

Distance Map of Point Pattern

Hybrid Geyer Point Process Model

Diggle's Heather Data

Inhomogeneous Cross K Function

Log Likelihood and AIC for Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

Fit Cluster or Cox Point Process Model

Diagnostics for random marking

Simulation Envelopes of Summary Function for 3D Point Pattern

Collapse Several Function Tables into One

Stoyan's Rule of Thumb for Bandwidth Selection

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

ANOVA for Fitted Point Process Models on Linear Network

Test Whether Points Are Inside A Window

Inhomogeneous Pair Correlation Function

plot.influence.ppm

Plot Influence Measure

Print Brief Details of a Spatial Window

Connected components of a point pattern

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Methods for Spatial Logistic Regression Models

Define Point Process Model for Metropolis-Hastings Simulation.

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

Centroid of a window

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Determine A Common Spatial Domain And Pixel Resolution

List Dihedral Triples in a Graph

Loglikelihood of Spatial Logistic Regression

Diagnostic Plots for Fitted Point Process Model

Random Perturbation of a Point Pattern

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

multiplicity.ppp

Count Multiplicity of Duplicate Points

Inhomogeneous Multitype L Dot Function

Longleaf Pines Point Pattern

Fit Point Process Model to Point Pattern on Linear Network

Convert Data To Class fv

Circular Window

Estimate the J-function

Added Variable Plot for Point Process Model

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Extract.layered

Extract Subset of a Layered Object

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Predicted or Fitted Values from Spatial Logistic Regression

Plot a Colour Map

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Distance to Boundary of Window

Inhomogeneous Neighbourhood Density Function

Convert Point Pattern to Another Unit of Length

Point and Click Interface for Displaying Spatial Data

Apply Affine Transformation To Line Segment Pattern

Methods for Cluster Point Process Models

Cross Validated Bandwidth Selection for Kernel Density

complement.owin

Take Complement of a Window

Saturated Pairwise Interaction Point Process Family

rPoissonCluster

Simulate Poisson Cluster Process

Simulation Envelopes of Summary Function

Poisson Point Process Model

Prediction from a Fitted Cluster Point Process Model

Neighbourhood density function

Empty Space Function of a Three-Dimensional Point Pattern

Distance Map of Line Segment Pattern

Summarizing a Quadrature Scheme

Convert Line Segment Pattern to Pixel Image

Apply a Function to a Point Pattern Broken Down by Factor

Apply Affine Transformation To Pixel Image

Function Value Table

delaunay.distance

Distance on Delaunay Triangulation

Clark and Evans Aggregation Index

Generate Poisson Point Pattern on Line Segments

Test Whether Marks Are Present

Nearest neighbour distances in three dimensions

Plot a plotppm Object Created by plot.ppm

Convert Line Segment Pattern to Another Unit of Length

Partial Residuals for Point Process Model

methods.layered

Methods for Layered Objects

spatstat-internal

Internal spatstat functions

Methods for Fitted Point Process Models on a Linear Network

Identify Segments in a Line Segment Pattern

Nearest Neighbours Between Two Patterns in 3D

Apply Geometrical Transformations to a Linear Network

Pairwise distances

envelope.envelope

Recompute Envelopes

Chicago Street Crime Data

Perfect Simulation of the Hardcore Process

Apply Affine Transformation To Point Pattern

Crossing Points of Two Line Segment Patterns

Convert Data to Numeric Values by Constructing Dummy Variables

Extract Interaction Structure

Saturated Pairwise Interaction model

Scatterplot Matrix for Pixel Images

Simulate Matern Model I

Create a Tessellation

Midpoints of Line Segment Pattern

Nearest Neighbour Map as a Function

Apply Vector Translation To Window

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Lurking variable plot

The Connected Component Process Model

Superimpose Several Geometric Patterns

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Parameter influence measure

Convert Window to Pixel Image

Gorilla Nesting Sites

Hybrid Interaction Family

Sample Quantiles of Pixel Image

Methods for Intensity Functions of Spatial Covariate

Find Line Segment Nearest to Each Point

Aherne's hamster tumour data

Plot a Function Array

Union of Data and Dummy Points

Pair Correlation Function of a Three-Dimensional Point Pattern

Translation Edge Correction

Plot a Pixel Image

K-function using FFT

Methods for three-dimensional point patterns

Convert Data To Class psp

Convolution of Pixel Images

Convex Hull of Points

Extract Fitted Point Process Model

Place Points Evenly Along Specified Lines

inforder.family

Infinite Order Interaction Family

Volume of an Object

spatstat.options

Internal Options in Spatstat Package

Pair Correlation Function obtained from array of K functions

The Triplet Point Process Model

Exponential Energy Marks

Plot a Spatial Window

Sufficient Statistic of Point Process Model

Print Brief Details of an Image

Number of Points in a Point Pattern

Point and Click Interface for Exploratory Analysis of Point Pattern

Identify Pixelwise Maximum of Several Pixel Images

Simulate systematic random point pattern

Inhomogeneous Multitype K Dot Function

Simulate a Fitted Cluster Point Process Model

Concatenate x,y Coordinate Vectors

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Urkiola Woods Point Pattern

Area of Part of Disc

Chorley-Ribble Cancer Data

bounding.box.xy

Convex Hull of Points

Extract Subset of Window

Rotate a Pixel Image

Pairwise Distances in Any Dimensions

Convert Window to Another Unit of Length

Pairwise distances between two point patterns on a linear network

Generate Poisson Point Pattern

The Strauss Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

plot a Spatial Point Pattern

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Pool Data from Several Ratio Objects

Apply Expansion Rule

plot.bermantest

Plot Result of Berman Test

Data Sharpening of Point Pattern

Plot a linear network

Class of Point Patterns

Smoothing Estimate of Covariate Transformation

Create Colour-Valued Pixel Image

Simulate Neyman-Scott Process

Tropical rain forest trees

Extract or Replace Subset of Point Pattern

Apply Affine Transformation

Diameter of an Object

Fit the Matern Cluster Point Process by Minimum Contrast

Mark Correlation Function

Convert dataset to another unit of length

vargamma.estpcf

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

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Test Whether Pixel Images Are Compatible

Weighted Empirical Cumulative Distribution Function

Rounding of Pixel Values

Extract Subset of Point Pattern on Linear Network

The Multitype Hard Core Point Process Model

Predict Point Process Model on Linear Network

Extract Quadrature Scheme Used to Fit a Point Process Model

Record the Computation Time

Plot a fitted cluster point process

Pair Correlation Function of Point Pattern

Interpret Fitted Model for Metropolis-Hastings Simulation.

Create a Function Value Table

Set Control Parameters for Metropolis-Hastings Algorithm.

Cut margins from rectangle

Plot Function Values

Compute Images of Constructed Covariates

Multitype pair correlation function (cross-type)

Multitype K Function (i-to-any)

Methods for Fitted Interactions

Plot a three-dimensional point pattern

Identify Covariates Involved in each Model Term

Inhomogeneous Nearest Neighbour Function

Spatial Scan Test

scaletointerval

Rescale Data to Lie Between Specified Limits

Circumradius and Diameter of a Linear Network

Perspective Plot of Pixel Image

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Data and Code From JRSS Discussion Paper on Residuals

Simulate Log-Gaussian Cox Process

Read Point Pattern From Data File

Morphological Closing

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Ord's Interaction model

Intensity of a Dataset or a Model

Divide Point Pattern into Sub-patterns

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Compute Areas of Tiles in a Tessellation

Methods for Linear Networks

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

Empirical Intensity of Point Pattern

Nearest neighbours in three dimensions

Lansing Woods Point Pattern

Uniform Random Points on a Linear Network

Safely Convert Point Pattern Window to Binary Mask

Areas of Morphological Dilations

The Multitype Strauss Point Process Model

Update a Fitted Point Process Model

Morishita Index Plot

Test Whether An Object Is A Point Pattern

Extract or Change the Plot Formula for a Function Value Table

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Summarizing a Fitted Point Process Model

Convert Polygonal Region into Different Format

Corners of a rectangle

Beta Ganglion Cells in Cat Retina, Old Version

Generate N Random Points

Inhomogeneous Linear Pair Correlation Function

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Point Patterns of New Brunswick Forest Fires

California Redwoods Point Pattern (Entire Dataset)

Poisson Line Tessellation

Test Whether An Object Is A Fitted Point Process Model

Extract or Replace Subset of a List of Things

Linear Pair Correlation Function

Generate N Uniform Random Points in a Disc

clarkevans.test

Clark and Evans Test

Subset of Quadrature Scheme

Test Whether a Window is Convex

Print a Quadrature Scheme

Fit the Thomas Point Process by Minimum Contrast

Convert Data To Tessellation

Generate Random Numbers of Points for Cell Process

Convert Pixel Image to Matrix or Array

Extract Subset of Signed or Vector Measure

Nearest Neighbours in Any Dimensions

Spatial smoothing of observations at irregular points

Generate Multitype Poisson Point Pattern

Ponderosa Pine Tree Point Pattern

Print a Fitted Point Process Model

Dummy Function Returns Number of Points

Check Whether Point Process Model is Valid

nearest.raster.point

Find Pixel Nearest to a Given Point

Approximate a Polygon by a Simpler Polygon

tweak.colourmap

Change Colour Values in a Colour Map

Plot Pixel Image on Linear Network

Envelope for Point Patterns on Linear Network

Pixel Values Along a Transect

Morphological Opening

Print News About Latest Version of Package

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

Apply Vector Translation To Point Pattern

Vertices of a Window

Bronze gradient filter data

Combine Two Line Segment Patterns

Distribution Function of Interpoint Distance

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

Smooth a Signed or Vector-Valued Measure

Methods for Multi-Dimensional Box

Print Names and Version Numbers of Libraries Loaded

Reset Values in Subset of Image

Apply Function to Every Neighbourhood in a Point Pattern

Summary of a Line Segment Pattern Dataset

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

Identify Points in a Point Pattern

Multitype pair correlation function (i-to-any)

Cells in Gastric Mucosa

Apply Vector Translation To Line Segment Pattern

Spruces Point Pattern

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Inhomogeneous J-function

Delaunay Triangulation of Point Pattern

Plot a Signed or Vector-Valued Measure

Distance to Boundary of Window

Divide Image Into Sub-images

Areas of Morphological Erosions

Pine saplings in Finland.

Reduced Sample Estimator using Histogram Data

Extract Dummy Points Used to Fit a Point Process Model

Test Whether An Object Is A Pixel Image

Create a Window

Method of Minimum Contrast

Fit Point Process Model to Data

Determine Whether One Window is Contained In Another

Set Covariance of a Window

Distance for a Point Pattern Matching

Fit the Thomas Point Process by Minimum Contrast

Methods for Three-Dimensional Box

spatstat-deprecated

Deprecated spatstat functions

Class of Line Segment Patterns

Apply Numerical Rounding to Spatial Coordinates

New Zealand Trees Point Pattern

quadrat.test.splitppp

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

Simulate a Fitted Spatial Logistic Regression Model

Perfect Simulation of the Diggle-Gates-Stibbard Process

Ripley's Isotropic Edge Correction

Quadrature Scheme Based on Pixel Grid

Q-Q Plot of Residuals from Fitted Point Process Model

Name for Unit of Length

Create Point Pattern on Linear Network

Extract Subset of Function Values

Kimboto trees at Paracou, French Guiana

Bandwidth Selection Based on Window Geometry

Convert Data to Hyperframe

Progress Plot of Test of Spatial Pattern

Bounding Box of a Window or Point Pattern

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Poisson Point Process on a Linear Network

Generate N Random Multitype Points

Hybrid Interaction Point Process Model

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Plot a List of Point Patterns

Compute Quadratic Forms

Convert Function Value Table to Function

Spatial Function Class

Humberside Data on Childhood Leukaemia and Lymphoma

Marks of a Line Segment Pattern

Pair Correlation Function

Extract or Replace the Plot Arguments of a Layered Object

Make Periodic Copies of a Spatial Pattern

Mark Connection Function

Multidimensional Space-Time Point Pattern

Nearest neighbour

Nearest Neighbours Between Two Patterns

Determine Type of Window

Simulate Matern Model II

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Distance Map as a Function

Distance Between Two Point Patterns

Generate N Uniform Random Points

Trees in Waka national park

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Create List of Plotting Layers

matclust.estpcf

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

Ord Interaction Process Family

plot a Fitted Point Process Model

Spatial Covariance of a Pixel Image

Find Largest Circle Inside Window

Combine Function Value Tables

Compute Disc of Given Radius in Linear Network

Simulated Point Pattern

Apply Vector Translation

Simple Example of Linear Network

Update a Fitted Cluster Point Process Model

Nearest neighbour distances

Pair Correlation Function obtained from K Function

Random Re-Labelling of Point Pattern

Class of Images

Contour plot of pixel image

Print Progress Reports

Convert Data to Three-Dimensional Box

Model Formulae for Gibbs Point Process Models

Methods for Multidimensional Space-Time Point Patterns

Lengths of Line Segments

Bootstrap Confidence Bands for Summary Function

Integral of a Pixel Image

Nearest Neighbour Distance Function G

Quadrat counting for a point pattern

Print Brief Details of a Point Pattern Dataset

Evaluate Expression Involving Pixel Images

Simulate Thomas Process

Create a Line Segment Pattern

Kaplan-Meier Estimator using Histogram Data

Fitted Conditional Intensity for Point Process Model

Nearest Neighbour Clutter Removal

People in Gordon Square

Print Introduction For Beginners

Three-Dimensional Box

Summary of a Spatial Window

Test whether Object is Multitype

Estimate Variance of Summary Statistic by Subdivision

Perfect Simulation of the Diggle-Gratton Process

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Linear K Function

K-function of a Three-Dimensional Point Pattern

Simulate Matern Cluster Process

Simulate Gauss-Poisson Process

Pairwise distances between two different point patterns

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

The Lennard-Jones Potential

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

Force Point Process Model to be Valid

Variance-Covariance Matrix for a Fitted Point Process Model

Multitype J Function (i-to-any)

Convert Pixel Image to Matrix

Estimate window from points alone

Smoothed Relative Density of Pairs of Covariate Values

Pool Data from Several Envelopes

ANOVA for Fitted Point Process Models

Convert Point Pattern to Pixel Image

Apply Vector Translation To Pixel Image

model.frame.ppm

Extract the Variables in a Point Process Model

Recognise Stationary and Poisson Point Process Models

Class of Fitted Point Process Models

Simulate Simple Sequential Inhibition

Summary of a Point Pattern Dataset

Generate Poisson Point Pattern in Three Dimensions

California Redwoods Point Pattern (Ripley's Subset)

Evaluate an Expression in a Function Table

The Soft Core Point Process Model

Randomly Shift a Line Segment Pattern

Test Whether A Point Process Model is Marked

Divide Region into Quadrats

Hutchings' Bramble Canes data

Rotate a Line Segment Pattern

Distance Map of Window

pairwise.family

Pairwise Interaction Process Family

Plot a Spatial Kolmogorov-Smirnov Test

Generate Poisson Random Line Process

rescue.rectangle

Convert Window Back To Rectangle

Generate a Quadrature Scheme from a Point Pattern

Foxall's Distance Functions

Marks of a Point Pattern

Level Set of a Pixel Image

Pairwise distances

Multitype K Function (Cross-type)

Geometrical Calculations for Multi-Dimensional Box

Extract List of Tiles in a Tessellation

Nearest-Neighbour Correlation Indices of Marked Point Pattern

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Orientation Angles of Line Segments

Reflect In Origin

plot a Spatial Quadrature Scheme

Print Brief Details of a Line Segment Pattern Dataset

pairdist.default

Pairwise distances

Create a Linear Network

Weighted kernel smoother

Mark Correlation Integral

Model Compensator of Nearest Neighbour Function

Profile Maximum Pseudolikelihood

Swedish Pines Point Pattern

Methods for Units

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

Fry Plot of Point Pattern

Generate Poisson Point Pattern in Any Dimensions

Theoretical Distribution of Nearest Neighbour Distance

Generate N Uniform Random Points in Three Dimensions

Signed or Vector-Valued Measure

summary.splitppp

Summary of a Split Point Pattern

Simulate Baddeley-Silverman Cell Process

Pairwise distances in Three Dimensions

Berman-Huntington points and lines data

Summary of a List of Things

Inhomogeneous K-function

Convert to Pixel Image

Specify Simulation Window or Expansion Rule

Perfect Simulation of the Strauss Process

Multi-Dimensional Box

Allard-Fraley Estimator of Cluster Feature

Hughes' Amacrine Cell Data

Define Point Process Model for Metropolis-Hastings Simulation.

Extract.splitppp

Extract or Replace Sub-Patterns

Create a Point Pattern

Endpoints of Line Segment Pattern

Create a Pixel Image Object

Random Thinning

Spokes pattern of dummy points

Lambert's W Function

Pairwise distances between two different line segment patterns

Harkness-Isham ants' nests data

Spatial Logistic Regression

Spherical Contact Distribution Function

Prediction from a Fitted Point Process Model

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Nearest Neighbour Distances in Any Dimensions

Convert Data To Class owin

Simulate Stratified Random Point Pattern

Plot a List of Things

Divide Multidimensional Point Pattern into Sub-patterns

Three Dimensional Point Pattern

Galaxies in the Shapley Supercluster

Pixel Image Approximation of a Window

Diggle-Gratton model

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

Simulate point patterns using the Metropolis-Hastings algorithm.

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Pairwise distances between line segments

Rotate a Window

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Beadlet Anemones Data

quadratresample

Resample a Point Pattern by Resampling Quadrats

Pool Data from Several Function Arrays

Perimeter Length of Window

Test Whether An Object Is Empty

Inverse-distance weighted smoothing of observations at irregular points

Intensity of Fitted Point Process Model

Nonparametric Estimate of Spatially-Varying Relative Risk

Histogram of Pixel Values in an Image

licence.polygons

Restricted Licence Conditions for Polygon Calculations

Intersect Infinite Straight Lines with a Window

Extract Subset of Image

Triplet Interaction Family

Extract Subset of Linear Network

rshift.splitppp

Randomly Shift a List of Point Patterns

Compute Integral of Function Against Cumulative Distribution

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Extract Unique Points from a Spatial Point Pattern

Exchange X and Y Coordinates

Cartesian Coordinates for a Pixel Raster

Residuals for Fitted Point Process Model

Interactively Add Points

plot.hyperframe

Plot Entries in a Hyperframe

Weighted Histogram

pool.quadrattest

Pool Several Quadrat Tests

Detect Numerical Rounding

Japanese Pines Point Pattern

Pairwise distances

The Hard Core Point Process Model

Stratified random point pattern

Marked K-Function

plot a Spatial Line Segment Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

model.matrix.ppm

Extract Design Matrix from Point Process Model

Plot a tessellation

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Mosaic Random Field

Summarizing a Pixel Image

Determine Duplicated Points in a Spatial Point Pattern

Hyper Data Frame

Basis for Harmonic Functions

compatible.fasp

Test Whether Function Arrays Are Compatible

Class of Quadrature Schemes

Extract or Replace Subset of Tessellation

Generic Ord Interaction model

Plot a List of Things

interp.colourmap

Interpolate smoothly between specified colours

Evaluate Expression Involving Functions

Plot a Fitted Spatial Logistic Regression

Mark of Nearest Neighbour

Apply Smoothing to Function Values

Interpolate a Pixel Image

Generate grid of parallel lines with random displacement

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Rotate a Point Pattern

Compute Area of Overlap

Mosaic Random Set

Locally Scaled K-function

Murchison gold deposits

Pairwise shortest-path distances between points on a linear network

Create Pixel Image on Linear Network

Determine Initial State for Metropolis-Hastings Simulation.

pppmatching.object

Class of Point Matchings

Generate N Uniform Random Points in Any Dimensions

Methods for Spatial Functions

Test Expansion Rule

Test Whether An Object Is A Window

Convert Spatial Object to Pixel Image

Apply Affine Transformation To Window

Marked Nearest Neighbour Distance Function

project2segment

Move Point To Nearest Line

Model Compensator of K Function

Perfect Simulation of the Strauss-Hardcore Process

Number of Line Segments in a Line Segment Pattern

Coefficients of Fitted Point Process Model

Interaction Distance of a Point Process

Pseudoscore Diagnostic For Fitted Model against General Alternative

Apply Scalar Dilation

spatstat-package

The Spatstat Package

Simulate from a Fitted Point Process Model

Kaplan-Meier and Reduced Sample Estimator using Histograms

Simulate a Fitted Gibbs Point Process Model

Randomly Shift a Point Pattern

The Piecewise Constant Pairwise Interaction Point Process Model

Morphological Erosion

Leverage Measure for Spatial Point Process Model

K-th Nearest Point Map