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spatstat (version 1.36-0)

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 1500 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 quadrat counts, K-functions and their simulation envelopes, 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, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm, kppm, slrm similar to glm. Types of models include Poisson, Gibbs, Cox and cluster point processes. Models may involve dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise, AIC). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.

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Install

install.packages('spatstat')

Monthly Downloads

18,534

Version

1.36-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

February 18th, 2014

Functions in spatstat (1.36-0)

Model Compensator of Nearest Neighbour Function

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

Subset of Quadrature Scheme

Extract Subset of Signed or Vector Measure

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

Inhomogeneous Cross Type L Function

Foxall's Distance Functions

Geyer's Saturation Point Process Model

Apply Affine Transformation To Line Segment Pattern

The Lennard-Jones Potential

Diagnostics for random marking

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

Diggle-Gratton model

The Multitype Strauss Point Process Model

The Hard Core Point Process Model

Extract or Replace Subset of a List of Things

Estimate the I-function

Multitype J Function (i-to-j)

Marked Nearest Neighbour Distance Function

Hybrid Geyer Point Process Model

Spatial smoothing of observations at irregular points

Apply Geometrical Transformations to Point Pattern on a Linear Network

Generic Ord Interaction model

Extract or Replace Subset of Point Pattern

Multitype L-function (i-to-any)

Estimate the J-function

Spatial smoothing of data

Extract Subset of Function Array

Coefficients of Point Process Model Fitted to Multiple Point Patterns

bounding.box.xy

Convex Hull of Points

The Multitype Hard Core Point Process Model

The Area Interaction Point Process Model

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Inhomogeneous Multitype K Dot Function

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Multitype J Function (i-to-any)

Empty Space Function of a Three-Dimensional Point Pattern

Hughes' Amacrine Cell Data

K Function or Pair Correlation Function of a Point Process Model

ANOVA for Fitted Point Process Models

Extract.layered

Extract Subset of a Layered Object

Saturated Pairwise Interaction model

K Function or Pair Correlation Function of Gibbs Point Process model

Plot a List of Things

Inhomogeneous Marked K-Function

Convert Data To Class owin

Inhomogeneous J-function

Convert Function Value Table to Function

Ord's Interaction model

The Connected Component Process Model

Lambert's W Function

Pairwise distances between two point patterns on a linear network

Multitype K Function (Cross-type)

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Inhomogeneous Nearest Neighbour Function

Extract Interaction Structure

Convert Data to a Point Pattern on a Linear Network

Convert a Window to a Polygonal Window

K Function or Pair Correlation Function of Cluster Model or Cox model

The Strauss Point Process Model

The Fiksel Interaction

Tropical rain forest trees

Distribution Function of Interpoint Distance

Extract Subset of Image

Cross Validated Bandwidth Selection for Relative Risk Estimation

Interactively Define a Polygon

Generic Pairwise Interaction model

Inhomogeneous K-function

Extract.splitppp

Extract or Replace Sub-Patterns

Corners of a rectangle

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Reduced Second Moment Measure

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

K-function using FFT

Kernel Smoothing of Line Segment Pattern

Diameter of a Window

Extract Subset of Window

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Poisson Point Process Model

Extract Subset of Point Pattern on Linear Network

Convert and Compare Colours in Different Formats

Castilla-La Mancha Forest Fires

Distance Map on Linear Network

Calculate four standard summary functions of a point pattern.

ANOVA for Fitted Multiple Point Process Models

Combine Two Line Segment Patterns

Multitype L-function (cross-type)

Extract Original Data from a Fitted Point Process Model

Parameter influence measure

Centroid of a window

Hybrid Interaction Point Process Model

Pixel Image Approximation of a Window

Smooth a Signed or Vector-Valued Measure

Spherical Contact Distribution Function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Harkness-Isham ants' nests data

Added Variable Plot for Point Process Model

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Interactively join vertices on a plot

Bronze gradient filter data

Apply a Function to a Point Pattern Broken Down by Factor

Diagnostic Plots for Fitted Point Process Model

Test Whether Objects Are Compatible

Clark and Evans Aggregation Index

Locally Scaled K-function

Cross Validated Bandwidth Selection for Spatial Smoothing

Apply Affine Transformation To Point Pattern

Convolution of Pixel Images

Convert Data To Class psp

Convert Data To Tessellation

Chorley-Ribble Cancer Data

Convert Pixel Image to Matrix

Apply Function to Image Broken Down by Factor

Difference of Disc Areas

Apply Affine Transformation To Pixel Image

Bandwidth Selection Based on Window Geometry

Integral of a Measure

The Soft Core Point Process Model

Dirichlet Tessellation of Point Pattern

Delaunay Triangulation of Point Pattern

Envelope for Point Patterns on Linear Network

The Triplet Point Process Model

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

Identify Points in a Point Pattern

Extract or Change the Plot Formula for a Function Value Table

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Fry Plot of Point Pattern

Subdivide a Window or Tessellation using a Set of Lines

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

Demonstration Example of Hyperframe of Spatial Data

Test Whether A Point Process Model is Marked

Apply Gaussian Blur to a Pixel Image

Exchange X and Y Coordinates

Mark Correlation Function

envelope.envelope

Recompute Envelopes

Berman's Tests for Point Process Model

crossdist.default

Pairwise distances between two different sets of points

Distance to Boundary of Window

Create List of Plotting Layers

Distance to Boundary of Window

Evaluate Expression Involving Pixel Images

Simulation Envelopes of Summary Function for 3D Point Pattern

Diameter of an Object

Diggle's Heather Data

Bounding Box of a Window or Point Pattern

Default Expansion Rule for Simulation of Model

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Convert Line Segment Pattern to Binary Pixel Mask

Area of a Window

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Function Arrays for Spatial Patterns

Test Whether a Window is Convex

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

ANOVA for Fitted Point Process Models on Linear Network

Test Whether An Object Is A Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Beadlet Anemones Data

Extract the Interaction from a Fitted Point Process Model

Convert Spatial Object to Pixel Image

complement.owin

Take Complement of a Window

inforder.family

Infinite Order Interaction Family

Circular Window

Test Whether Object is a Hybrid

Predict Point Process Model on Linear Network

Analysis of Deviance for Spatial Logistic Regression Models

Border Region of a Window

Convert Data To Class ppp

Beta Ganglion Cells in Cat Retina

Apply Expansion Rule

Scott's Rule for Bandwidth Selection for Kernel Density

Hutchings' Bramble Canes data

Basis for Harmonic Functions

Aherne's hamster tumour data

Cross Validated Bandwidth Selection for Kernel Density

Distance Map of Line Segment Pattern

Connected components

Interactively Add Points

Test Whether Points Are Inside A Window

Determine Type of Window

Japanese Pines Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Distance Map of Window

Morphological Dilation

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Test Whether An Object Is A Fitted Point Process Model

Morphological Erosion

Create Pixel Image on Linear Network

Evaluate Expression Involving Functions

Test whether Object is Multitype

Close Pairs of Points

Pairwise distances

Kaplan-Meier Estimator using Histogram Data

Allard-Fraley Estimator of Cluster Feature

Convert Pixel Image to Matrix or Array

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Model Compensator of K Function

Apply Function to Every Neighbourhood in a Point Pattern

Pine saplings in Finland.

Pairwise distances between two different point patterns

Integral of a Pixel Image

Kernel Smoothed Intensity of Point Pattern

Convert Pixel Image from Numeric to Factor

The Strauss / Hard Core Point Process Model

Spatial Function Class

Class of Images

compatible.fasp

Test Whether Function Arrays Are Compatible

Chicago Street Crime Data

delaunay.distance

Distance on Delaunay Triangulation

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Determine Duplicated Points in a Spatial Point Pattern

linearKdot.inhom

Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern

as.data.frame.im

Convert Pixel Image to Data Frame

Methods for Fitted Interactions

Hexagonal Grid or Tessellation

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Gorilla Nesting Sites

Methods for Cluster Point Process Models

Residual K Function

Ord Interaction Process Family

Multidimensional Space-Time Point Pattern

Compute Disc of Given Radius in Linear Network

Test Whether An Object Is Empty

model.frame.ppm

Extract the Variables in a Point Process Model

Methods for Spatial Functions

Infinite Straight Lines

Bootstrap Confidence Bands for Summary Function

Areas of Morphological Dilations

Endpoints of Line Segment Pattern

Saturated Pairwise Interaction Point Process Family

Fit the Neyman-Scott cluster process with Cauchy kernel

Beta Ganglion Cells in Cat Retina, Old Version

Fitted Conditional Intensity for Point Process Model

Coefficients of Fitted Spatial Logistic Regression Model

Distance Map of Point Pattern

Create a Function Value Table

Convert Data to Hyperframe

Level Set of a Pixel Image

Translation Edge Correction

Three-Dimensional Box

Plot a Simulation Envelope

Log Likelihood and AIC for Point Process Model

Methods for three-dimensional point patterns

Methods for Functions on Linear Network

Nearest Neighbours in Any Dimensions

Number of Line Segments in a Line Segment Pattern

Apply Affine Transformation

Convert Point Pattern to Pixel Image

Methods for Intensity Functions of Spatial Covariate

Extract or Replace Subset of Tessellation

Fit Cluster or Cox Point Process Model

Intensity of Fitted Point Process Model

edges2triangles

List Triangles in a Graph

Circumradius and Diameter of a Linear Network

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

New Zealand Trees Point Pattern

Log Likelihood for Poisson Point Process Model

Influenza Virus Proteins

Test Whether An Object Is A Pixel Image

Inhomogeneous Linear Pair Correlation Function

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Pair Correlation Function obtained from array of K functions

Apply Function Pixelwise to List of Images

Extract Subset of Linear Network

Convert Data to Three-Dimensional Box

Crossing Points of Two Line Segment Patterns

Test Whether Pixel Images Are Compatible

Compute Quadrature Weights Based on Grid Counts

Fit the Matern Cluster Point Process by Minimum Contrast

Inverse-distance weighted smoothing of observations at irregular points

interp.colourmap

Interpolate smoothly between specified colours

Pair Correlation Function of Point Pattern

Test Whether Marks Are Present

Multitype K Function (Cross-type) for Linear Point Pattern

Linear Pair Correlation Function

Colour Lookup Tables

Function Value Table

Plot a List of Things

Concatenate x,y Coordinate Vectors

Objective Function Surface

Point and Click Interface for Exploratory Analysis of Point Pattern

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Rectangular grid of points

Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Hybrid Interaction Family

Find Line Segment Nearest to Each Point

Inhomogeneous Pair Correlation Function

Kimboto trees at Paracou, French Guiana

Window in Shape of Letter R

Distance Map as a Function

linearpcfcross.inhom

Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

Scots pines and other trees at Hyytiala

Recognise Stationary and Poisson Point Process Models

Point Patterns of New Brunswick Forest Fires

Function on a Linear Network

Intersection, Union or Set Subtraction of Two Windows

Extract Subset of Line Segment Pattern

Print News About Latest Version of Package

Progress Plot of Test of Spatial Pattern

Fitted Conditional Intensity for Multiple Point Process Model

Third order summary statistic

Areas of Morphological Erosions

Abbreviations for Groups of Columns in Function Value Table

Pairwise distances between two different three-dimensional point patterns

Multitype K Function (Dot-type) for Linear Point Pattern

Prediction from a Fitted Cluster Point Process Model

Methods for Point Patterns on a Linear Network

Find Largest Circle Inside Window

Create a Pixel Image Object

Lurking variable plot

Pairwise distances between line segments

Identify Segments in a Line Segment Pattern

Nearest Neighbours Between Two Patterns

Prediction for Fitted Multiple Point Process Model

Determine Initial State for Metropolis-Hastings Simulation.

Nearest neighbour distances on a linear network

Number of Points in a Point Pattern

intensity.quadratcount

Intensity Estimates Using Quadrat Counts

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Simulate Gauss-Poisson Process

linearpcfdot.inhom

Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Partial Residuals for Point Process Model

Dummy Function Returns Number of Points

Extract Dummy Points Used to Fit a Point Process Model

Interaction Distance of a Point Process

Local pair correlation function

Multi-Dimensional Box

People in Gordon Square

Perfect Simulation of the Hardcore Process

Print a Fitted Point Process Model

Intersect Infinite Straight Lines with a Window

Plot a three-dimensional point pattern

Quadrature Scheme Based on Pixel Grid

Midpoints of Line Segment Pattern

Difference of Disc Areas

Plot Result of Scan Test

Pool Data from Several Envelopes

Morphological Closing

Residual Diagnostics for Multiple Fitted Models

Create Point Pattern on Linear Network

methods.objsurf

Methods for Objective Function Surfaces

Leverage Measure for Spatial Point Process Model

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

Convert dataset to another unit of length

methods.layered

Methods for Layered Objects

Exponential Energy Marks

plot.bermantest

Plot Result of Berman Test

Convert Window to Pixel Image

Convert to Pixel Image

Scatterplot Matrix for Pixel Images

Identify Covariates Involved in each Model Term

Methods for Units

Mark Connection Function

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Marked pair correlation function

plot.leverage.ppm

Plot Leverage Function

Model Formulae for Gibbs Point Process Models

Mark of Nearest Neighbour

plot.quadrattest

Display the result of a quadrat counting test.

Generate a Row or Column Arrangement of Rectangles.

Stoyan's Rule of Thumb for Bandwidth Selection

List Dihedral Triples in a Graph

Spatial Covariance of a Pixel Image

Intensity of a Dataset or a Model

Create a Point Pattern

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Plot a Pixel Image

Murchison gold deposits

Lansing Woods Point Pattern

Test Whether An Object Is A Window

Prediction from a Fitted Point Process Model

Create a Window

Force Point Process Model to be Valid

Nearest Neighbours Between Two Patterns in 3D

Perspective Plot of Pixel Image

Morishita Index Plot

pairdist.default

Pairwise distances

Nearest Neighbour Distances in Any Dimensions

Divide Region into Quadrats

Ripley's Isotropic Edge Correction

Distance Between Two Point Patterns

Area of Part of Disc

Q-Q Plot of Residuals from Fitted Point Process Model

Multitype pair correlation function (i-to-any)

Neighbourhood density function

Generate Poisson Point Pattern in Any Dimensions

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Generate a Quadrature Scheme from a Point Pattern

Influence Measure for Spatial Point Process Model

Data and Code From JRSS Discussion Paper on Residuals

Artificial Data Point Pattern

Spokes pattern of dummy points

Plot a plotppm Object Created by plot.ppm

Method of Minimum Contrast

Linear K Function

Apply Vector Translation To Point Pattern

Compute Integral of Function Against Cumulative Distribution

Marks of a Line Segment Pattern

Print Brief Details of a Line Segment Pattern Dataset

Rotate a Window

Intersection of Two Tessellations

Class of Quadrature Schemes

Class of Fitted Point Process Models

Distance for a Point Pattern Matching

Fitted Probabilities for Spatial Logistic Regression

rshift.splitppp

Randomly Shift a List of Point Patterns

California Redwoods Point Pattern (Entire Dataset)

Poisson Point Process on a Linear Network

Longleaf Pines Point Pattern

Kolmogorov-Smirnov Test for Multiple Point Process Model

Plot a Colour Map

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Pairwise distances

Data Sharpening of Point Pattern

spatstat-internal

Internal spatstat functions

Methods for Multidimensional Space-Time Point Patterns

Cut margins from rectangle

Extract List of Tiles in a Tessellation

Berman-Huntington points and lines data

Inhomogeneous Neighbourhood Density Function

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Summarizing a Quadrature Scheme

Create a Linear Network

Distance to Boundary of Window

pairwise.family

Pairwise Interaction Process Family

Methods for Three-Dimensional Box

Convert Point Pattern to Another Unit of Length

Randomly Shift a Point Pattern

linearKcross.inhom

Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern

Methods for Spatial Logistic Regression Models

Calculate Derivative of Function Values

Apply Affine Transformation To Window

Generate grid of parallel lines with random displacement

reload.or.compute

Compute Unless Previously Saved

quadrat.test.mppm

Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

multiplicity.ppp

Count Multiplicity of Duplicate Points

Simulate a Fitted Cluster Point Process Model

Nearest neighbour distances between line segments

Compute Area of Overlap

Create a Point Matching

Nearest neighbour distances in three dimensions

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Simulate Baddeley-Silverman Cell Process

Morphological Opening

Quantiles of Weighted Empirical Cumulative Distribution Function

Convert Line Segment Pattern to Another Unit of Length

Stratified random point pattern

K-th Nearest Point Map

Generate Poisson Random Line Process

Pair Correlation Function of a Three-Dimensional Point Pattern

Convert Window to Another Unit of Length

Plot a Spatial Kolmogorov-Smirnov Test

tweak.colourmap

Change Colour Values in a Colour Map

Nearest Neighbour Index Map as a Function

Summarise Marks in Every Neighbourhood in a Point Pattern

Approximate a Polygon by a Simpler Polygon

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

quadrat.test.splitppp

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

plot a Fitted Point Process Model

Compute Areas of Tiles in a Tessellation

Connected components of a point pattern

plot a Spatial Line Segment Pattern

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Summary of a List of Things

matclust.estpcf

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

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Print Progress Reports

Superimpose Several Geometric Patterns

Summarizing a Pixel Image

Apply Vector Translation To Window

Residuals for Point Process Model Fitted to Multiple Point Patterns

Simulate a Fitted Spatial Logistic Regression Model

summary.splitppp

Summary of a Split Point Pattern

Rotate a Pixel Image

Summary of a Spatial Window

Random Re-Labelling of Point Pattern

Randomly Shift a Line Segment Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

California Redwoods Point Pattern (Ripley's Subset)

Convert to Pixel Image on Linear Network

Nearest Neighbours on a Linear Network

Mosaic Random Field

Simulate point patterns using the Metropolis-Hastings algorithm.

Estimate Variance of Summary Statistic by Subdivision

Pairwise distances in Three Dimensions

pppmatching.object

Class of Point Matchings

plot.influence.ppm

Plot Influence Measure

Simulate Matern Cluster Process

Specify Simulation Window or Expansion Rule

Likelihood Ratio Test Statistic for Scan Test

Plot a linear network

Mosaic Random Set

Pairwise Distances in Any Dimensions

Simulate Matern Model II

Update a Fitted Point Process Model

Apply Vector Translation To Pixel Image

Predicted or Fitted Values from Spatial Logistic Regression

Trees in Waka national park

Ponderosa Pine Tree Point Pattern

Simulate Thomas Process

Determine A Common Spatial Domain And Pixel Resolution

Profile Maximum Pseudolikelihood

Apply Numerical Rounding to Spatial Coordinates

Generate N Uniform Random Points in a Disc

Union of Data and Dummy Points

Plot a Spatial Quadrature Scheme

Simulated Point Pattern

Perfect Simulation of the Strauss Process

Pool Data from Several Ratio Objects

Read Point Pattern From Data File

Print Names and Version Numbers of Libraries Loaded

Convert Line Segment Pattern to Pixel Image

Summarizing a Fitted Point Process Model

Extract Quadrature Scheme Used to Fit a Point Process Model

quadratresample

Resample a Point Pattern by Resampling Quadrats

Pool Data from Several Function Arrays

Pseudoscore Diagnostic For Fitted Model against General Alternative

Print a Quadrature Scheme

Smoothing Estimate of Covariate Transformation

Create a Line Segment Pattern

Create Colour-Valued Pixel Image

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Detect Numerical Rounding

Simple Example of Linear Network

Quadrat counting for a point pattern

Urkiola Woods Point Pattern

Plot a Function Array

Simple Point-and-Click Interface Panels

Fit Point Process Model to Several Point Patterns

Signed or Vector-Valued Measure

Test Expansion Rule

plot a Spatial Point Pattern

Spatial Logistic Regression

Record the Computation Time

Uniform Random Points on a Linear Network

Theoretical Distribution of Nearest Neighbour Distance

Compute Quadratic Forms

Biological Cells Point Pattern

Generate Poisson Point Pattern on Line Segments

Pair Correlation Function

nearest.raster.point

Find Pixel Nearest to a Given Point

Test Whether A Point Pattern is Marked

Interpret Fitted Model for Metropolis-Hastings Simulation.

Name for Unit of Length

Print Brief Details of a Point Pattern Dataset

Generate N Uniform Random Points in Any Dimensions

Sample Quantiles of Pixel Image

Class of Point Patterns

Perfect Simulation of the Diggle-Gratton Process

Generate N Uniform Random Points in Three Dimensions

Nearest neighbours in three dimensions

Convert Pixel Image to Another Unit of Length

Reduced Sample Estimator using Histogram Data

Pairwise shortest-path distances between points on a linear network

vargamma.estpcf

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

Fit the Thomas Point Process by Minimum Contrast

Weighted Histogram

Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

Smoothed Relative Density of Pairs of Covariate Values

Print Brief Details of a Spatial Window

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

spatstat-package

The Spatstat Package

Plot a Signed or Vector-Valued Measure

Geometrical Calculations for Three-Dimensional Box

Fit Point Process Model to Data

Set Covariance of a Window

Simulate Stratified Random Point Pattern

Generate N Random Multitype Points

plot.quadratcount

Plot Quadrat Counts

Print Introduction For Beginners

Apply Scalar Dilation

Simulate Simple Sequential Inhibition

Simulate Log-Gaussian Cox Process

Generate Poisson Point Pattern

rPoissonCluster

Simulate Poisson Cluster Process

Plot a Fitted Point Process Model on a Linear Network

Class of Line Segment Patterns

run.simplepanel

Run Point-and-Click Interface

Update a Fitted Cluster Point Process Model

Compute Images of Constructed Covariates

Simulate a Fitted Gibbs Point Process Model

Rotate a Line Segment Pattern

Summary of a Line Segment Pattern Dataset

Nonparametric Estimate of Spatially-Varying Relative Risk

Perfect Simulation of the Strauss-Hardcore Process

Volume of an Object

Print Brief Details of an Image

Methods for Multi-Dimensional Box

Apply Vector Translation

Simulate Neyman-Scott Process

Generate Poisson Point Pattern in Three Dimensions

K-function of a Three-Dimensional Point Pattern

Extract List of Individual Point Process Models

Place Points Evenly Along Specified Lines

Plot a List of Point Patterns

Define Point Process Model for Metropolis-Hastings Simulation.

Marked J Function

Weighted kernel smoother

Generate Random Numbers of Points for Cell Process

Vertices of a Window

Waterstriders data. Three independent replications of a point pattern formed by insects.

Generate N Uniform Random Points

Plot a Fitted Spatial Logistic Regression

Swedish Pines Point Pattern

Triplet Interaction Family

Fit the Thomas Point Process by Minimum Contrast

Poisson Line Tessellation

Check Whether Point Process Model is Valid

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

Pairwise distances

Extract Unique Points from a Spatial Point Pattern

Plot a Spatial Window

Plot a tessellation

Simulate Matern Model I

Pair Correlation Function obtained from K Function

project2segment

Move Point To Nearest Line

Cartesian Coordinates for a Pixel Raster

plot a Fitted Multiple Point Process Model

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Random Perturbation of a Point Pattern

Create a Tessellation

Names of Tiles in a Tessellation

plot.hyperframe

Plot Entries in a Hyperframe

Simulate from a Fitted Point Process Model

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Generate Multitype Poisson Point Pattern

Plot a fitted cluster point process

Galaxies in the Shapley Supercluster

spatstat-deprecated

Deprecated spatstat functions

Multitype pair correlation function (cross-type)

spatstat.options

Internal Options in Spatstat Package

Set Control Parameters for Metropolis-Hastings Algorithm.

Rounding of Pixel Values

Simulate systematic random point pattern

scaletointerval

Rescale Data to Lie Between Specified Limits

Make Periodic Copies of a Spatial Pattern

Extract Subset of Function Values

The Piecewise Constant Pairwise Interaction Point Process Model

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Convert Data To Class fv

Multitype K Function (i-to-any)

Combine Function Value Tables

Test Whether Function Objects Are Compatible

Interpolate a Pixel Image

Generate a Default Pattern of Dummy Points

Simulation Envelopes of Summary Function

Optimise Irregular Trend Parameters in Point Process Model

Point and Click Interface for Displaying Spatial Data

Fit Point Process Model to Point Pattern on Linear Network

model.matrix.ppm

Extract Design Matrix from Point Process Model

Mark Correlation Integral

Humberside Data on Childhood Leukaemia and Lymphoma

Spruces Point Pattern

Divide Image Into Sub-images

Apply Vector Translation To Line Segment Pattern

Pixel Values Along a Transect

Residuals for Fitted Point Process Model

Evaluate an Expression in a Function Table

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Pyramidal Neurons in Cingulate Cortex

Three Dimensional Point Pattern

Nearest Neighbour Distance Function G

Marked K-Function

Create Colour Scheme for a Range of Numbers

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Classify Points in a Point Pattern

clarkevans.test

Clark and Evans Test

Geometrical Calculations for Multi-Dimensional Box

Histogram of Pixel Values in an Image

Extract Subset of Multidimensional Point Pattern

Methods for Linear Networks

Marks of a Point Pattern

Loglikelihood of Spatial Logistic Regression

Identify Nearest Neighbours on a Linear Network

Nearest neighbour distances

Plot Pixel Image on Linear Network

Plot Function Values

Rotate a Point Pattern

Random Thinning

Summary of a Point Pattern Dataset

Divide Multidimensional Point Pattern into Sub-patterns

Perfect Simulation of the Diggle-Gates-Stibbard Process

Nearest-Neighbour Correlation Indices of Marked Point Pattern

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

Variance-Covariance Matrix for a Fitted Point Process Model

Reset Values in Subset of Image

Inhomogeneous Multitype L Dot Function

Inhomogeneous Cross K Function

Apply Smoothing to Function Values

Fit the Neyman-Scott cluster process with Cauchy kernel

Coefficients of Fitted Point Process Model

Convex Hull of Points

Hyper Data Frame

Empirical Intensity of Point Pattern on Linear Network

Evaluate Expression Involving Pixel Images on Linear Network

Kaplan-Meier and Reduced Sample Estimator using Histograms

Weighted Empirical Cumulative Distribution Function

Nearest neighbour

Lengths of Line Segments

Perimeter Length of Window

Nearest Neighbour Clutter Removal

Methods for Fitted Point Process Models on a Linear Network

Cells in Gastric Mucosa

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

pool.quadrattest

Pool Several Quadrat Tests

Simulated data from a two-group experiment with replication within each group.

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

Sufficient Statistic of Point Process Model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Inhomogeneous Empty Space Function

Orientation Angles of Line Segments

Extract Fitted Point Process Model

Apply Geometrical Transformation To Tessellation

Pairwise distances between two different line segment patterns

Estimate the empty space function F

Collapse Several Function Tables into One

Convert Data to Numeric Values by Constructing Dummy Variables

Contour plot of pixel image

Empirical Intensity of Point Pattern

Evaluate Expression Involving Function Arrays

Make Pixel Images Compatible

Extract or Replace the Plot Arguments of a Layered Object

Determine Whether One Window is Contained In Another

Nearest Neighbour Map on Linear Network

Inhomogeneous Linear K Function

Reflect In Origin

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Estimate window from points alone

Residual G Function

Generate N Random Points

Spatial Scan Test

Apply Geometrical Transformations to a Linear Network

rescue.rectangle

Convert Window Back To Rectangle

Divide Point Pattern into Sub-patterns

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

runifpointOnLines

Generate N Uniform Random Points On Line Segments