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spatstat (version 1.35-0)

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

16,015

Version

1.35-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

December 12th, 2013

Functions in spatstat (1.35-0)

Apply Affine Transformation To Pixel Image

Estimate the empty space function F

K function of a model

Convert Data to Hyperframe

Convert Data To Class psp

Reduced Second Moment Measure

Marked J Function

Residual G Function

Piecewise Constant Saturated Pairwise Interaction Point Process Model

The Hard Core Point Process Model

Harkness-Isham ants' nests data

Combine Function Value Tables

Convert to Pixel Image on Linear Network

Combine Two Line Segment Patterns

complement.owin

Take Complement of a Window

Generic Pairwise Interaction model

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

Tropical rain forest trees

Apply a Function to a Point Pattern Broken Down by Factor

Inhomogeneous Cross K Function

Delaunay Triangulation of Point Pattern

bounding.box.xy

Convex Hull of Points

Extract.splitppp

Extract or Replace Sub-Patterns

Apply Affine Transformation To Point Pattern

Bandwidth Selection Based on Window Geometry

Extract Subset of Window

Extract Subset of Function Array

Inhomogeneous Empty Space Function

Third order summary statistic

Extract Subset of Line Segment Pattern

Extract.layered

Extract Subset of a Layered Object

Inhomogeneous Nearest Neighbour Function

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Area of a Window

The Connected Component Process Model

Extract Subset of Multidimensional Point Pattern

Area of Part of Disc

Orientation Angles of Line Segments

Extract Subset of Image

Residual K Function

Convert Pixel Image to Matrix

Apply Geometrical Transformations to a Linear Network

The Multitype Hard Core Point Process Model

Extract Subset of Function Values

Convert a Window to a Polygonal Window

Apply Gaussian Blur to a Pixel Image

Coefficients of Point Process Model Fitted to Multiple Point Patterns

crossdist.default

Pairwise distances between two different sets of points

The Piecewise Constant Pairwise Interaction Point Process Model

Multitype K Function (i-to-any)

Difference of Disc Areas

Exponential Energy Marks

Compute Quadrature Weights Based on Grid Counts

Parameter influence measure

Convert Data to Three-Dimensional Box

ANOVA for Fitted Point Process Models on Linear Network

Ripley's Isotropic Edge Correction

Calculate four standard summary functions of a point pattern.

Extract Original Data from a Fitted Point Process Model

Convert Pixel Image from Numeric to Factor

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

Simulation Envelopes of Summary Function

Morphological Closing

Inhomogeneous K-function

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

Scots pines and other trees at Hyytiala

Extract or Replace Subset of a List of Things

Corners of a rectangle

Subset of Quadrature Scheme

Convert Data to a Point Pattern on a Linear Network

Determine A Common Spatial Domain And Pixel Resolution

The Fiksel Interaction

Inhomogeneous J-function

Geyer's Saturation Point Process Model

Poisson Point Process Model

Inhomogeneous Cross Type L Function

Bronze gradient filter data

Extract Subset of Linear Network

Model Formulae for Gibbs Point Process Models

Weighted Empirical Cumulative Distribution Function

K-function of a Three-Dimensional Point Pattern

Ord's Interaction model

Intensity of a Dataset or a Model

Distance to Boundary of Window

Beta Ganglion Cells in Cat Retina

Lambert's W Function

Translation Edge Correction

Spatial smoothing of data

Cross Validated Bandwidth Selection for Kernel Density

Diameter of an Object

Beadlet Anemones Data

The Lennard-Jones Potential

Multitype L-function (cross-type)

Lurking variable plot

Apply Affine Transformation To Line Segment Pattern

Function Value Table

Morphological Dilation

Distance to Boundary of Window

Extract Interaction Structure

Bounding Box of a Window or Point Pattern

envelope.envelope

Recompute Envelopes

The Area Interaction Point Process Model

Scott's Rule for Bandwidth Selection for Kernel Density

Apply Function to Image Broken Down by Factor

Calculate Derivative of Function Values

Model Compensator of Nearest Neighbour Function

Apply Affine Transformation To Window

Foxall's Distance Functions

Extract or Replace Subset of Tessellation

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Hughes' Amacrine Cell Data

Convex Hull of Points

Cross Validated Bandwidth Selection for Spatial Smoothing

Nearest Neighbour Distance Function G

Apply Geometrical Transformations to Point Pattern on a Linear Network

Beta Ganglion Cells in Cat Retina, Old Version

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Print Introduction For Beginners

Convolution of Pixel Images

Circular Window

K-function using FFT

ANOVA for Fitted Point Process Models

List Dihedral Triples in a Graph

Distance Map of Window

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Hybrid Interaction Point Process Model

Estimate the I-function

Create Colour Scheme for a Range of Numbers

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Pairwise distances between two different point patterns

Generate a Default Pattern of Dummy Points

Multitype L-function (i-to-any)

Test Whether An Object Is A Window

Inhomogeneous Marked K-Function

Berman-Huntington points and lines data

Multi-Dimensional Box

The Strauss Point Process Model

Convert Line Segment Pattern to Binary Pixel Mask

Mark Connection Function

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Gorilla Nesting Sites

inforder.family

Infinite Order Interaction Family

Kernel Smoothed Intensity of Point Pattern

Methods for Linear Networks

Pixel Image Approximation of a Window

Geometrical Calculations for Multi-Dimensional Box

Multitype K Function (Cross-type)

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Convert Data to Numeric Values by Constructing Dummy Variables

Multitype J Function (i-to-any)

delaunay.distance

Distance on Delaunay Triangulation

Basis for Harmonic Functions

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Hybrid Interaction Family

interp.colourmap

Interpolate smoothly between specified colours

Marked Nearest Neighbour Distance Function

Three-Dimensional Box

Evaluate Expression Involving Function Arrays

Extract Fitted Point Process Model

Methods for Fitted Interactions

Empty Space Function of a Three-Dimensional Point Pattern

Nearest neighbour distances

Castilla-La Mancha Forest Fires

linearKcross.inhom

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

Methods for Intensity Functions of Spatial Covariate

Residual Diagnostics for Multiple Fitted Models

Test whether Object is Multitype

Empirical Intensity of Point Pattern

Inhomogeneous Neighbourhood Density Function

Pairwise distances between two different line segment patterns

Geometrical Calculations for Three-Dimensional Box

Circumradius and Diameter of a Linear Network

Test Whether Points Are Inside A Window

Pairwise distances

Perfect Simulation of the Strauss Process

Convert Data To Class ppp

Hybrid Geyer Point Process Model

Areas of Morphological Erosions

Berman's Tests for Point Process Model

Convert Data To Class fv

Methods for Fitted Point Process Models on a Linear Network

Test Whether Objects Are Compatible

Convert Data To Class owin

Added Variable Plot for Point Process Model

Interactively Add Points

Spherical Contact Distribution Function

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

Perfect Simulation of the Hardcore Process

Extract Subset of Point Pattern on Linear Network

Convert Data To Tessellation

Colour Lookup Tables

Chicago Street Crime Data

Demonstration Example of Hyperframe of Spatial Data

Border Region of a Window

Saturated Pairwise Interaction model

Interactively Define a Polygon

Create List of Plotting Layers

Connected components

Multitype J Function (i-to-j)

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

Function Arrays for Spatial Patterns

model.matrix.ppm

Extract Design Matrix from Point Process Model

Interactively join vertices on a plot

Reset Values in Subset of Image

linearKdot.inhom

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

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

Function on a Linear Network

Distance Map of Line Segment Pattern

Coefficients of Fitted Point Process Model

Envelope for Point Patterns on Linear Network

Methods for Multidimensional Space-Time Point Patterns

Plot a List of Things

ANOVA for Fitted Multiple Point Process Models

Convert Pixel Image to Matrix or Array

Kaplan-Meier Estimator using Histogram Data

as.data.frame.im

Convert Pixel Image to Data Frame

Endpoints of Line Segment Pattern

Inverse-distance weighted smoothing of observations at irregular points

Simulate Baddeley-Silverman Cell Process

Evaluate Expression Involving Pixel Images

Centroid of a window

Convert to Pixel Image

Test Whether An Object Is A Fitted Point Process Model

The Multitype Strauss Point Process Model

Hutchings' Bramble Canes data

Test Whether Pixel Images Are Compatible

Distance Map on Linear Network

Chorley-Ribble Cancer Data

Likelihood Cross Validation Bandwidth Selection for Kernel Density

Fry Plot of Point Pattern

Exchange X and Y Coordinates

Crossing Points of Two Line Segment Patterns

Spatial Function Class

Distance for a Point Pattern Matching

Distribution Function of Interpoint Distance

Generic Ord Interaction model

Extract or Replace the Plot Arguments of a Layered Object

Plot a linear network

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

Aherne's hamster tumour data

Concatenate x,y Coordinate Vectors

Morphological Opening

plot.influence.ppm

Plot Influence Measure

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

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

Window in Shape of Letter R

Fitted Probabilities for Spatial Logistic Regression

matclust.estpcf

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

Progress Plot of Test of Spatial Pattern

Inhomogeneous Multitype L Dot Function

plot a Spatial Line Segment Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Create Point Pattern on Linear Network

Local pair correlation function

Extract the Interaction from a Fitted Point Process Model

Print News About Latest Version of Package

Linear Pair Correlation Function

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

Midpoints of Line Segment Pattern

Subdivide a Window or Tessellation using a Set of Lines

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

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Pine saplings in Finland.

methods.layered

Methods for Layered Objects

Pair Correlation Function obtained from array of K functions

Create a Pixel Image Object

Perimeter Length of Window

model.frame.ppm

Extract the Variables in a Point Process Model

Intersect Infinite Straight Lines with a Window

Plot a Spatial Window

Recognise Stationary and Poisson Point Process Models

Loglikelihood of Spatial Logistic Regression

edges2triangles

List Triangles in a Graph

Fit Cluster or Cox Point Process Model

Marks of a Line Segment Pattern

Difference of Disc Areas

Determine Type of Window

Create a Point Matching

Summary of a Spatial Window

Fit the Neyman-Scott cluster process with Cauchy kernel

Test Whether A Point Pattern is Marked

Fit Point Process Model to Point Pattern on Linear Network

Coefficients of Fitted Spatial Logistic Regression Model

Inhomogeneous Linear K Function

Diagnostics for random marking

Create a Function Value Table

Test Whether An Object Is A Pixel Image

Nearest neighbour

Distance to Boundary of Window

Infinite Straight Lines

pairwise.family

Pairwise Interaction Process Family

Methods for Multi-Dimensional Box

Areas of Morphological Dilations

Divide Point Pattern into Sub-patterns

Abbreviations for Groups of Columns in Function Value Table

Collapse Several Function Tables into One

Nearest Neighbours in Any Dimensions

Close Pairs of Points

Generate Poisson Point Pattern in Any Dimensions

Methods for Point Patterns on a Linear Network

Diameter of a Window

Plot a Colour Map

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Fit Point Process Model to Several Point Patterns

Apply Expansion Rule

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Find Largest Circle Inside Window

Mark Correlation Integral

Fit the Neyman-Scott cluster process with Cauchy kernel

Point and Click Interface for Displaying Spatial Data

Kernel Smoothing of Line Segment Pattern

The Triplet Point Process Model

Methods for Functions on Linear Network

linearpcfcross.inhom

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

Spatial Covariance of a Pixel Image

New Zealand Trees Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

model.matrix.slrm

Extract Design Matrix from Spatial Logistic Regression Model

Classify Points in a Point Pattern

Humberside Data on Childhood Leukaemia and Lymphoma

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

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Method of Minimum Contrast

Class of Fitted Point Process Models

Compute Integral of Function Against Cumulative Distribution

Objective Function Surface

Nearest Neighbour Index Map as a Function

Diggle's Heather Data

Pairwise distances

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

Artificial Data Point Pattern

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Create a Window

Plot a Fitted Point Process Model on a Linear Network

linearpcfdot.inhom

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

Class of Line Segment Patterns

Smoothing Estimate of Covariate Transformation

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Fitted Conditional Intensity for Point Process Model

Inhomogeneous Multitype K Dot Function

Pairwise distances between two point patterns on a linear network

Compute Images of Constructed Covariates

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

People in Gordon Square

Marked K-Function

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Optimise Irregular Trend Parameters in Point Process Model

Generate Random Numbers of Points for Cell Process

Test Whether A Point Process Model is Marked

Dummy Function Returns Number of Points

Saturated Pairwise Interaction Point Process Family

Simulate point patterns using the Metropolis-Hastings algorithm.

Morphological Erosion

Simulation Envelopes of Summary Function for 3D Point Pattern

Identify Covariates Involved in each Model Term

Evaluate Expression Involving Pixel Images on Linear Network

Dirichlet Tessellation of Point Pattern

Sample Quantiles of Pixel Image

project2segment

Move Point To Nearest Line

Histogram of Pixel Values in an Image

Marks of a Point Pattern

plot.hyperframe

Plot Entries in a Hyperframe

Distance Map of Point Pattern

Test Whether An Object Is Empty

Simulate Matern Cluster Process

Plot a Pixel Image

Multidimensional Space-Time Point Pattern

Interpret Fitted Model for Metropolis-Hastings Simulation.

Extract Quadrature Scheme Used to Fit a Point Process Model

Methods for Spatial Functions

Ord Interaction Process Family

Allard-Fraley Estimator of Cluster Feature

Pair Correlation Function of Point Pattern

plot a Spatial Point Pattern

Nearest neighbour distances on a linear network

Spruces Point Pattern

Estimate the J-function

Kolmogorov-Smirnov Test for Multiple Point Process Model

Test Whether Marks Are Present

Number of Points in a Point Pattern

Generate N Uniform Random Points in Three Dimensions

Biological Cells Point Pattern

rshift.splitppp

Randomly Shift a List of Point Patterns

Perfect Simulation of the Strauss-Hardcore Process

Summarizing a Quadrature Scheme

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Intensity of Fitted Point Process Model

clarkevans.test

Clark and Evans Test

Swedish Pines Point Pattern

Hyper Data Frame

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Convert and Compare Colours in Different Formats

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Convert Spatial Object to Pixel Image

Safely Convert Point Pattern Window to Binary Mask

Convert Point Pattern to Pixel Image

Make Periodic Copies of a Spatial Pattern

Extract or Change the Plot Formula for a Function Value Table

Nearest Neighbour Distances in Any Dimensions

Contour plot of pixel image

Pairwise distances between two different three-dimensional point patterns

Cross Validated Bandwidth Selection for Relative Risk Estimation

Specify Simulation Window or Expansion Rule

Divide Multidimensional Point Pattern into Sub-patterns

Distance Map as a Function

Test Whether Function Objects Are Compatible

Plot a three-dimensional point pattern

Make Pixel Images Compatible

Inhomogeneous Linear Pair Correlation Function

Three Dimensional Point Pattern

Identify Segments in a Line Segment Pattern

Pairwise Distances in Any Dimensions

Model Compensator of K Function

Rectangular grid of points

Integral of a Pixel Image

quadrat.test.mppm

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

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Plot a fitted cluster point process

Empirical Intensity of Point Pattern on Linear Network

Connected components of a point pattern

Extract List of Individual Point Process Models

Fit the Thomas Point Process by Minimum Contrast

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

plot.bermantest

Plot Result of Berman Test

Divide Image Into Sub-images

Locally Scaled K-function

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Nearest Neighbour Map on Linear Network

Diagnostic Plots for Fitted Point Process Model

Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

Cells in Gastric Mucosa

Rotate a Window

Japanese Pines Point Pattern

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

quadrat.test.splitppp

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

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Simple Example of Linear Network

Murchison gold deposits

Integral of a Measure

sidelengths.owin

Side Lengths of Enclosing Rectangle of a Window

Bootstrap Confidence Bands for Summary Function

Simulate Gauss-Poisson Process

Predicted or Fitted Values from Spatial Logistic Regression

Plot a Spatial Kolmogorov-Smirnov Test

Plot a tessellation

Nearest Neighbour Clutter Removal

Identify Points in a Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

Extract Unique Points from a Spatial Point Pattern

Nearest neighbour distances in three dimensions

Neighbourhood density function

Kimboto trees at Paracou, French Guiana

Pool Data from Several Ratio Objects

The Soft Core Point Process Model

Mosaic Random Field

Log Likelihood for Poisson Point Process Model

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Compute Disc of Given Radius in Linear Network

Random Thinning

Reduced Sample Estimator using Histogram Data

Plot a List of Point Patterns

Test Whether An Object Is A Point Pattern

Convert Point Pattern to Another Unit of Length

Fit the Matern Cluster Point Process by Minimum Contrast

Reflect In Origin

Cartesian Coordinates for a Pixel Raster

Multitype pair correlation function (cross-type)

Pyramidal Neurons in Cingulate Cortex

Print Brief Details of a Point Pattern Dataset

Mark Correlation Function

Evaluate Expression Involving Functions

Simulate Log-Gaussian Cox Process

Number of Line Segments in a Line Segment Pattern

Test Expansion Rule

Urkiola Woods Point Pattern

Apply Vector Translation To Line Segment Pattern

Theoretical Distribution of Nearest Neighbour Distance

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Print a Fitted Point Process Model

pppmatching.object

Class of Point Matchings

Approximate a Polygon by a Simpler Polygon

Nearest Neighbours Between Two Patterns

Morishita Index Plot

Influenza Virus Proteins

Intersection of Two Tessellations

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

Estimate Intensity of Point Pattern Using Nearest Neighbour Distances

Partial Residuals for Point Process Model

Quadrature Scheme Based on Pixel Grid

Multitype pair correlation function (i-to-any)

Linear K Function

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Apply Numerical Rounding to Spatial Coordinates

Prediction for Fitted Multiple Point Process Model

Apply Vector Translation To Window

Methods for Cluster Point Process Models

plot a Fitted Point Process Model

Compute Area of Overlap

Convert dataset to another unit of length

Pairwise distances

Point Patterns of New Brunswick Forest Fires

Pairwise distances between line segments

Plot a plotppm Object Created by plot.ppm

Summarise Marks in Every Neighbourhood in a Point Pattern

Interpolate a Pixel Image

Point and Click Interface for Exploratory Analysis of Point Pattern

Lengths of Line Segments

Create a Linear Network

Determine Whether One Window is Contained In Another

Read Point Pattern From Data File

Predict Point Process Model on Linear Network

Longleaf Pines Point Pattern

pool.quadrattest

Pool Several Quadrat Tests

Plot a List of Things

Methods for Spatial Logistic Regression Models

Nearest neighbours in three dimensions

Perfect Simulation of the Diggle-Gates-Stibbard Process

Extract or Replace Subset of Point Pattern

spatstat-package

The Spatstat Package

Test Whether a Window is Convex

Methods for three-dimensional point patterns

summary.splitppp

Summary of a Split Point Pattern

Inhomogeneous Pair Correlation Function

Summary of a Point Pattern Dataset

Convert Line Segment Pattern to Another Unit of Length

Rotate a Line Segment Pattern

spatstat-internal

Internal spatstat functions

pairdist.default

Pairwise distances

Determine Initial State for Metropolis-Hastings Simulation.

Ponderosa Pine Tree Point Pattern

Signed or Vector-Valued Measure

Nearest Neighbours on a Linear Network

Pairwise shortest-path distances between points on a linear network

Interaction Distance of a Point Process

Simulate systematic random point pattern

Force Point Process Model to be Valid

Create Colour-Valued Pixel Image

Plot Pixel Image on Linear Network

Diggle-Gratton model

Apply Vector Translation

Generate N Random Points

Name for Unit of Length

Print Brief Details of a Spatial Window

Spatial Logistic Regression

Class of Images

Spatial Scan Test

Pair Correlation Function obtained from K Function

Galaxies in the Shapley Supercluster

Generate a Row or Column Arrangement of Rectangles.

Set Control Parameters for Metropolis-Hastings Algorithm.

Simulate Neyman-Scott Process

Plot a Signed or Vector-Valued Measure

Simulate Thomas Process

Divide Region into Quadrats

Residuals for Point Process Model Fitted to Multiple Point Patterns

Union of Data and Dummy Points

Mark of Nearest Neighbour

Test Whether Object is a Hybrid

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Determine Duplicated Points in a Spatial Point Pattern

Names of Tiles in a Tessellation

quadscheme.logi

Generate a Logistic Regression Quadrature Scheme from a Point Pattern

Weighted kernel smoother

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Cut margins from rectangle

Generate Poisson Point Pattern in Three Dimensions

Convert Window to Pixel Image

Detect Numerical Rounding

spatstat.options

Internal Options in Spatstat Package

Find Line Segment Nearest to Each Point

Leverage Measure for Spatial Point Process Model

Generate N Uniform Random Points

scaletointerval

Rescale Data to Lie Between Specified Limits

Create Pixel Image on Linear Network

Print a Quadrature Scheme

Randomly Shift a Line Segment Pattern

Superimpose Several Geometric Patterns

Perfect Simulation of the Diggle-Gratton Process

Simulate Matern Model II

quadratresample

Resample a Point Pattern by Resampling Quadrats

tweak.colourmap

Change Colour Values in a Colour Map

Rotate a Pixel Image

Distance Between Two Point Patterns

Compute Areas of Tiles in a Tessellation

Profile Maximum Pseudolikelihood

Class of Point Patterns

Log Likelihood and AIC for Point Process Model

Simulate a Fitted Cluster Point Process Model

Methods for Three-Dimensional Box

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Set Covariance of a Window

Simulate Stratified Random Point Pattern

Print Progress Reports

Default Expansion Rule for Simulation of Model

Nearest Neighbours Between Two Patterns in 3D

Perspective Plot of Pixel Image

Apply Vector Translation To Pixel Image

Convert Line Segment Pattern to Pixel Image

Pair Correlation Function of a Three-Dimensional Point Pattern

plot a Fitted Multiple Point Process Model

Rotate a Point Pattern

Lansing Woods Point Pattern

Pairwise distances in Three Dimensions

Generate N Random Multitype Points

Class of Quadrature Schemes

Plot Function Values

Convert Window to Another Unit of Length

Identify Pixelwise Maximum of Several Pixel Images

methods.objsurf

Methods for Objective Function Surfaces

Scatterplot Matrix for Pixel Images

Generate Poisson Point Pattern on Line Segments

Simulate a Fitted Gibbs Point Process Model

plot.leverage.ppm

Plot Leverage Function

Nonparametric Estimate of Spatially-Varying Relative Risk

Fit the Thomas Point Process by Minimum Contrast

Summary of a Line Segment Pattern Dataset

Pool Data from Several Envelopes

Update a Fitted Point Process Model

Data and Code From JRSS Discussion Paper on Residuals

Residuals for Fitted Point Process Model

Place Points Evenly Along Specified Lines

Simulate Simple Sequential Inhibition

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

run.simplepanel

Run Point-and-Click Interface

Pair Correlation Function

Clark and Evans Aggregation Index

Prediction from a Fitted Point Process Model

Pseudoscore Diagnostic For Fitted Model against General Alternative

Poisson Line Tessellation

Pixel Values Along a Transect

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Identify Nearest Neighbours on a Linear Network

nearest.raster.point

Find Pixel Nearest to a Given Point

Create a Tessellation

Q-Q Plot of Residuals from Fitted Point Process Model

spatstat-deprecated

Deprecated spatstat functions

Rounding of Pixel Values

Generate Poisson Random Line Process

Simulate Matern Model I

Volume of an Object

Fitted Conditional Intensity for Multiple Point Process Model

California Redwoods Point Pattern (Entire Dataset)

Generate Multitype Poisson Point Pattern

Evaluate an Expression in a Function Table

Level Set of a Pixel Image

Prediction from a Fitted Cluster Point Process Model

Stratified random point pattern

compatible.fasp

Test Whether Function Arrays Are Compatible

Quadrat counting for a point pattern

Print Names and Version Numbers of Libraries Loaded

Mosaic Random Set

Plot a Simulation Envelope

Randomly Shift a Point Pattern

Simulated Point Pattern

Apply Scalar Dilation

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Apply Vector Translation To Point Pattern

Data Sharpening of Point Pattern

Methods for Units

Trees in Waka national park

Apply Function to Every Neighbourhood in a Point Pattern

Simulate a Fitted Spatial Logistic Regression Model

Plot a Function Array

Summarizing a Pixel Image

Print Brief Details of a Line Segment Pattern Dataset

Define Point Process Model for Metropolis-Hastings Simulation.

Pool Data from Several Function Arrays

Fit Point Process Model to Data

Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model

rescue.rectangle

Convert Window Back To Rectangle

Random Perturbation of a Point Pattern

Smoothed Relative Density of Pairs of Covariate Values

Vertices of a Window

Print Brief Details of an Image

plot a Spatial Quadrature Scheme

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Spokes pattern of dummy points

California Redwoods Point Pattern (Ripley's Subset)

Record the Computation Time

multiplicity.ppp

Count Multiplicity of Duplicate Points

Extract List of Tiles in a Tessellation

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

Plot a Fitted Spatial Logistic Regression

Intersection, Union or Set Subtraction of Two Windows

Poisson Point Process on a Linear Network

K-th Nearest Point Map

Smooth a Signed or Vector-Valued Measure

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Generate Poisson Point Pattern

Nearest neighbour distances between line segments

Sufficient Statistic of Point Process Model

vargamma.estpcf

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

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

Create a Line Segment Pattern

Generate N Uniform Random Points in a Disc

Compute Quadratic Forms

rPoissonCluster

Simulate Poisson Cluster Process

Estimate window from points alone

Define Point Process Model for Metropolis-Hastings Simulation.

Random Re-Labelling of Point Pattern

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

Generate N Uniform Random Points in Any Dimensions

Summary of a List of Things

Weighted Histogram

Summarizing a Fitted Point Process Model

Create a Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Estimate Variance of Summary Statistic by Subdivision

Extract Subset of Signed or Vector Measure

Generate grid of parallel lines with random displacement

Convert Function Value Table to Function

Check Whether Point Process Model is Valid

Uniform Random Points on a Linear Network

Update a Fitted Cluster Point Process Model

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Triplet Interaction Family

Variance-Covariance Matrix for a Fitted Spatial Logistic Regression

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Generate a Quadrature Scheme from a Point Pattern

Spatial smoothing of observations at irregular points

Simple Point-and-Click Interface Panels

Simulate from a Fitted Point Process Model

Convert Pixel Image to Another Unit of Length

Apply Smoothing to Function Values

Apply Affine Transformation

The Strauss / Hard Core Point Process Model

Analysis of Deviance for Spatial Logistic Regression Models

Influence Measure for Spatial Point Process Model