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spatstat (version 1.28-2)

Spatial Point Pattern analysis, model-fitting, simulation, tests

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

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Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.28-2

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

August 23rd, 2012

Functions in spatstat (1.28-2)

Foxall's Distance Functions

Three-Dimensional Box

Chorley-Ribble Cancer Data

Geyer's Saturation Point Process Model

crossdist.default

Pairwise distances between two different sets of points

Convert a Window to a Polygonal Window

Distance to Boundary of Window

Extract Interaction Structure

Colour Lookup Tables

Test Whether Pixel Images Are Compatible

Diggle-Gratton model

Crossing Points of Two Line Segment Patterns

Area of Part of Disc

Extract Subset of Signed or Vector Measure

Distance Map as a Function

Concatenate x,y Coordinate Vectors

Inhomogeneous Cross Type L Function

Saturated Pairwise Interaction model

edges2triangles

List Triangles in a Graph

ANOVA for Fitted Point Process Models on Linear Network

Parameter influence measure

Extract Dummy Points Used to Fit a Point Process Model

Humberside Data on Childhood Leukaemia and Lymphoma

Rectangular grid of points

Test Whether An Object Is Empty

complement.owin

Take Complement of a Window

Mark Correlation Integral

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

Fit Cluster or Cox Point Process Model

Classify Points in a Point Pattern

Methods for Point Patterns on a Linear Network

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Aherne's hamster tumour data

Kolmogorov-Smirnov Test for Point Process Model

Methods for Linear Networks

Ord Interaction Process Family

Inverse-distance weighted smoothing of observations at irregular points

Morishita Index Plot

Find Largest Circle Inside Window

Marks of a Point Pattern

The Area Interaction Point Process Model

Pairwise distances between line segments

Extract Subset of Multidimensional Point Pattern

Extract Subset of Function Values

Point Patterns of New Brunswick Forest Fires

Nearest Neighbour Distance Function G

Kaplan-Meier and Reduced Sample Estimator using Histograms

Marked J Function

Hughes' Amacrine Cell Data

Added Variable Plot for Point Process Model

Level Set of a Pixel Image

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Pair Correlation Function of a Three-Dimensional Point Pattern

Perspective Plot of Pixel Image

plot a Spatial Quadrature Scheme

K-function of a Three-Dimensional Point Pattern

Compute Disc of Given Radius in Linear Network

nearest.raster.point

Find Pixel Nearest to a Given Point

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Inhomogeneous Linear K Function

Pairwise distances

Methods for three-dimensional point patterns

Profile Maximum Pseudolikelihood

Inhomogeneous Multitype L Dot Function

quadratresample

Resample a Point Pattern by Resampling Quadrats

Prediction from a Fitted Point Process Model

Nearest neighbour distances between line segments

Cross Validated Bandwidth Selection for Spatial Smoothing

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Tropical rain forest trees

Pair Correlation Function obtained from array of K functions

Apply Vector Translation To Window

Combine Two Line Segment Patterns

Morphological Closing

Difference of Disc Areas

Smooth a Signed or Vector-Valued Measure

Plot a List of Things

Divide Image Into Sub-images

Class of Quadrature Schemes

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Plot Function Values

Methods for Units

Place Points Evenly Along Specified Lines

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

California Redwoods Point Pattern (Entire Dataset)

Simulate from a Fitted Point Process Model

Diagnostics for random marking

Create a Point Matching

Extract Subset of Point Pattern on Linear Network

Extract or Replace Subset of Tessellation

Uniform Random Points on a Linear Network

The Strauss / Hard Core Point Process Model

Update a Fitted Cluster Point Process Model

Midpoints of Line Segment Pattern

Q-Q Plot of Residuals from Fitted Point Process Model

Pseudoscore Diagnostic For Fitted Model against General Alternative

Border Region of a Window

Multi-Dimensional Box

Empty Space Function of a Three-Dimensional Point Pattern

Convert Spatial Object to Pixel Image

Convert Point Pattern to Pixel Image

Galaxies in the Shapley Supercluster

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Reduced Second Moment Measure

Chicago Street Crime Data

Plot a plotppm Object Created by plot.ppm

Determine A Common Spatial Domain And Pixel Resolution

Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

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

The Multitype Strauss Point Process Model

Union of Data and Dummy Points

Inhomogeneous Marked K-Function

Generate Poisson Point Pattern

Generate a Default Pattern of Dummy Points

runifpointOnLines

Generate N Uniform Random Points On Line Segments

spatstat-package

The Spatstat Package

Distance to Boundary of Window

Apply Gaussian Blur to a Pixel Image

K function of a model

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Pairwise distances

Cut margins from rectangle

Hutchings' Bramble Canes data

Mark Connection Function

Extract Unique Points from a Spatial Point Pattern

Create Pixel Image on Linear Network

The Lennard-Jones Potential

Rotate a Point Pattern

Bronze gradient filter data

Dirichlet Tessellation of Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

Morphological Dilation

Generate Poisson Random Line Process

Inhomogeneous Linear Pair Correlation Function

Scott's Rule for Bandwidth Selection for Kernel Density

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

spatstat-internal

Internal spatstat functions

Weighted kernel smoother

Diagnostic Plots for Fitted Point Process Model

Evaluate Expression Involving Function Arrays

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

Create a Function Value Table

Subdivide a Window or Tessellation using a Set of Lines

clarkevans.test

Clark and Evans Test

Convert and Compare Colours in Different Formats

Distance Map of Window

Convert Data to Numeric Values by Constructing Dummy Variables

Connected components of an image or window

Number of Points in a Point Pattern

Nearest neighbour

Empirical Intensity of Point Pattern

Simulation Envelopes of Summary Function

Intensity of a Dataset or a Model

Pairwise distances between two different line segment patterns

Pairwise distances in Three Dimensions

Pairwise Distances in Any Dimensions

Fitted Probabilities for Spatial Logistic Regression

Interpolate a Pixel Image

Distance Map of Point Pattern

Class of Images

Nearest Neighbours in Any Dimensions

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Determine Type of Window

Leverage Measure for Spatial Point Process Model

Plot a Spatial Kolmogorov-Smirnov Test

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

Areas of Morphological Dilations

Test Whether An Object Is A Fitted Point Process Model

Window in Shape of Letter R

Plot a Spatial Window

Exchange X and Y Coordinates

Inhomogeneous Pair Correlation Function

Local pair correlation function

Plot a List of Point Patterns

Print News About Latest Version of Package

Methods for Cluster Point Process Models

Fit Point Process Model to Data

Extract the Interaction from a Fitted Point Process Model

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

Simulate point patterns using the Metropolis-Hastings algorithm.

Estimate the empty space function F

Simulate Gauss-Poisson Process

Estimate the J-function

Locally Scaled K-function

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Scatterplot Matrix for Pixel Images

Gorilla Nesting Sites

Nearest Neighbour Clutter Removal

Plot Pixel Image on Linear Network

Spatial Logistic Regression

Convert to Pixel Image

Class of Line Segment Patterns

Extract Quadrature Scheme Used to Fit a Point Process Model

Influenza Virus Proteins

Subset of Quadrature Scheme

Intersection, Union or Set Subtraction of Two Windows

Japanese Pines Point Pattern

Estimate the I-function

Simulate Thomas Process

K-function using FFT

Partial Residuals for Point Process Model

Multitype L-function (i-to-any)

Specify Simulation Window or Expansion Rule

Convert Window to Pixel Image

Fit the Matern Cluster Point Process by Minimum Contrast

Third order summary statistic

Multitype L-function (cross-type)

Apply Function to Every Neighbourhood in a Point Pattern

Convert Data to Hyperframe

Distance to Boundary of Window

plot a Spatial Line Segment Pattern

Force Point Process Model to be Valid

model.matrix.ppm

Extract Design Matrix from Point Process Model

Berman's Tests for Point Process Model

Random Thinning

Residual Diagnostics for Multiple Fitted Models

Biological Cells Point Pattern

Pixel Image Approximation of a Window

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Class of Point Patterns

Random Re-Labelling of Point Pattern

Divide Region into Quadrats

Apply Smoothing to Function Values

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Signed or Vector-Valued Measure

Class of Fitted Point Process Models

Apply Function to Image Broken Down by Factor

Exponential Energy Marks

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Sufficient Statistic of Point Process Model

bounding.box.xy

Convex Hull of Points

Fit the Thomas Point Process by Minimum Contrast

Perimeter Length of Window

Delaunay Triangulation of Point Pattern

Cross Validated Bandwidth Selection for Kernel Density

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Convert Pixel Image to Matrix

Interactively Define a Polygon

Perfect Simulation of the Strauss-Hardcore Process

Define Point Process Model for Metropolis-Hastings Simulation.

Model Formulae for Gibbs Point Process Models

Print Progress Reports

Pairwise distances between two different point patterns

Spatial Covariance of a Pixel Image

Extract Original Data from a Fitted Point Process Model

Infinite Straight Lines

Collapse Several Function Tables into One

Poisson Line Tessellation

Generate Poisson Point Pattern in Any Dimensions

Generate N Random Multitype Points

Function Arrays for Spatial Patterns

Convert Pixel Image to Another Unit of Length

Perfect Simulation of the Diggle-Gates-Stibbard Process

Swedish Pines Point Pattern

Intersection of Two Tessellations

Histogram of Pixel Values in an Image

Test Whether A Point Process Model is Marked

Reflect In Origin

Bounding Box of a Window or Point Pattern

Inhomogeneous Neighbourhood Density Function

Pairwise distances between two different three-dimensional point patterns

Loglikelihood of Spatial Logistic Regression

Geometrical Calculations for Three-Dimensional Box

Morphological Erosion

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Pairwise distances

Print Brief Details of a Spatial Window

Lengths of Line Segments

Areas of Morphological Erosions

Test Whether An Object Is A Point Pattern

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Create a Linear Network

Print a Fitted Point Process Model

Fit Point Process Model to Point Pattern on Linear Network

Mosaic Random Field

Data Sharpening of Point Pattern

Apply Vector Translation To Point Pattern

California Redwoods Point Pattern (Ripley's Subset)

Create a Pixel Image Object

Determine Whether One Window is Contained In Another

Nonparametric Estimate of Spatially-Varying Relative Risk

Lurking variable plot

Simulate Stratified Random Point Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Methods for Fitted Point Process Models on a Linear Network

Nearest neighbour distances

Identify Covariates Involved in each Model Term

pairwise.family

Pairwise Interaction Process Family

vargamma.estpcf

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

plot.hyperframe

Plot Entries in a Hyperframe

Simulated Point Pattern

Plot a Fitted Spatial Logistic Regression

Apply Scalar Dilation

Apply Vector Translation To Pixel Image

Pair Correlation Function obtained from K Function

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

Create a Line Segment Pattern

spatstat-deprecated

Deprecated spatstat functions

Plot a Pixel Image

Plot a Signed or Vector-Valued Measure

Smoothed Relative Density of Pairs of Covariate Values

Multitype J Function (i-to-j)

rshift.splitppp

Randomly Shift a List of Point Patterns

Extract Subset of Function Array

Print a Quadrature Scheme

Ponderosa Pine Tree Point Pattern

Poisson Point Process on a Linear Network

Spokes pattern of dummy points

scaletointerval

Rescale Data to Lie Between Specified Limits

Inhomogeneous Multitype K Dot Function

spatstat.options

Internal Options in Spatstat Package

Summarizing a Pixel Image

Convert dataset to another unit of length

The Triplet Point Process Model

Summary of a Spatial Window

rescue.rectangle

Convert Window Back To Rectangle

Reset Values in Subset of Image

Superimpose Several Geometric Patterns

Apply Affine Transformation To Window

Rotate a Window

Convert Window to Another Unit of Length

Apply Vector Translation To Line Segment Pattern

as.data.frame.im

Convert Pixel Image to Data Frame

Convert Data To Class owin

Compute Integral of Function Against Cumulative Distribution

Convert Function Value Table to Function

Convert Pixel Image to Matrix or Array

Divide Multidimensional Point Pattern into Sub-patterns

Beta Ganglion Cells in Cat Retina

Urkiola Woods Point Pattern

Corners of a rectangle

Clark and Evans Aggregation Index

Geometrical Calculations for Multi-Dimensional Box

Artificial Data Point Pattern

Extract or Replace Subset of Point Pattern

Extract or Replace Subset of a List of Things

Extract Subset of Image

Endpoints of Line Segment Pattern

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

Model Compensator of Nearest Neighbour Function

Hyper Data Frame

Marked Nearest Neighbour Distance Function

Inhomogeneous Cross K Function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

ANOVA for Fitted Point Process Models

The Multitype Hard Core Point Process Model

envelope.envelope

Recompute Envelopes

Test Whether A Point Pattern is Marked

Distance for a Point Pattern Matching

Generic Pairwise Interaction model

Circumradius and Diameter of a Linear Network

model.frame.ppm

Extract the Variables in a Point Process Model

Convert Pixel Image from Numeric to Factor

New Zealand Trees Point Pattern

Evaluate Expression Involving Functions

Harkness-Isham ants' nests data

Saturated Pairwise Interaction Point Process Family

Fitted Conditional Intensity for Point Process Model

Area of a Window

Convert Data to Three-Dimensional Box

Linear K Function

Convert Data To Tessellation

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

compatible.fasp

Test Whether Function Arrays Are Compatible

Log Likelihood and AIC for Point Process Model

plot.bermantest

Plot Result of Berman Test

Create a Window

Plot a fitted cluster point process

Methods for Spatial Logistic Regression Models

Predict Point Process Model on Linear Network

Convert Line Segment Pattern to Pixel Image

Kernel Smoothing of Line Segment Pattern

Diameter of a Window

Three Dimensional Point Pattern

Weighted Empirical Cumulative Distribution Function

Print Brief Details of an Image

Mosaic Random Set

Beta Ganglion Cells in Cat Retina, Old Version

Create Colour-Valued Pixel Image

Print Brief Details of a Point Pattern Dataset

Data and Code From JRSS Discussion Paper on Residuals

Generate grid of parallel lines with random displacement

Convert Point Pattern to Another Unit of Length

Evaluate an Expression in a Function Table

Rotate a Line Segment Pattern

Influence Measure for Spatial Point Process Model

Test whether Object is Multitype

Simulate systematic random point pattern

Method of Minimum Contrast

Hybrid Geyer Point Process Model

pairdist.default

Pairwise distances

Apply Vector Translation

The Fiksel Interaction

Triplet Interaction Family

Fit the Thomas Point Process by Minimum Contrast

Spherical Contact Distribution Function

Estimate Variance of Summary Statistic by Subdivision

Convert Line Segment Pattern to Binary Pixel Mask

Pool Data from Several Ratio Objects

Multitype pair correlation function (i-to-any)

Vertices of a Window

Estimate window from points alone

Determine Initial State for Metropolis-Hastings Simulation.

Theoretical Distribution of Nearest Neighbour Distance

Combine Function Value Tables

Volume of an Object

Convert Data To Class ppp

Fit the Neyman-Scott cluster process with Cauchy kernel

Berman-Huntington points and lines data

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Spatial Scan Test

Default Expansion Rule for Simulation of Model

Variance-Covariance Matrix for a Fitted Point Process Model

Fry Plot of Point Pattern

Generic Ord Interaction model

Poisson Point Process Model

inforder.family

Infinite Order Interaction Family

Bootstrap Confidence Bands for Summary Function

Plot a Function Array

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Pool Data from Several Envelopes

Apply Affine Transformation To Pixel Image

Print Brief Details of a Line Segment Pattern Dataset

Apply Affine Transformation To Point Pattern

Calculate four standard summary functions of a point pattern.

Convert Data To Class psp

Perfect Simulation of the Diggle-Gratton Process

Simulate Neyman-Scott Process

Set Control Parameters for Metropolis-Hastings Algorithm.

Test Whether Objects Are Compatible

Evaluate Expression Involving Pixel Images

Residuals for Fitted Point Process Model

Generate Multitype Poisson Point Pattern

Test Whether Points Are Inside A Window

Test Whether An Object Is A Window

Create a Tessellation

Neighbourhood density function

Methods for Intensity Functions of Spatial Covariate

Murchison gold deposits

plot a Fitted Point Process Model

Create a Point Pattern

Simulate Matern Cluster Process

Simulate Log-Gaussian Cox Process

Smoothing Estimate of Covariate Transformation

Simulate Baddeley-Silverman Cell Process

Generate N Uniform Random Points

Generate N Uniform Random Points in Three Dimensions

Approximate a Polygon by a Simpler Polygon

Spruces Point Pattern

Extract List of Tiles in a Tessellation

Identify Pixelwise Maximum of Several Pixel Images

Fit the Neyman-Scott cluster process with Cauchy kernel

Coefficients of Fitted Spatial Logistic Regression Model

Cross Validated Bandwidth Selection for Relative Risk Estimation

Convex Hull of Points

Convert Polygonal Region into Different Format

Extract or Change the Plot Formula for a Function Value Table

Basis for Harmonic Functions

Recognise Stationary and Poisson Point Process Models

Longleaf Pines Point Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

methods.distfun

Methods for Distance Functions

Cells in Gastric Mucosa

Methods for Three-Dimensional Box

Plot a List of Things

plot.leverage.ppm

Plot Leverage Function

quadrat.test.splitppp

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

Generate a Quadrature Scheme from a Point Pattern

Perfect Simulation of the Hardcore Process

Simulate Matern Model II

Generate Poisson Point Pattern in Three Dimensions

Extract.splitppp

Extract or Replace Sub-Patterns

Read Point Pattern From Data File

Simple Example of Linear Network

Model Compensator of K Function

The Piecewise Constant Pairwise Interaction Point Process Model

Summary of a List of Things

Multitype K Function (i-to-any)

Analysis of Deviance for Spatial Logistic Regression Models

Summarizing a Quadrature Scheme

Convolution of Pixel Images

Update a Fitted Point Process Model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Envelope for Point Patterns on Linear Network

Test Whether An Object Is A Pixel Image

Optimise Irregular Trend Parameters in Point Process Model

Kaplan-Meier Estimator using Histogram Data

matclust.estpcf

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

Find Line Segment Nearest to Each Point

Dummy Function Returns Number of Points

Simulate Simple Sequential Inhibition

Spatial smoothing of observations at irregular points

Simulate a Fitted Cluster Point Process Model

Simulate a Fitted Gibbs Point Process Model

Summary of a Point Pattern Dataset

Compute Quadratic Forms

summary.splitppp

Summary of a Split Point Pattern

Rounding of Pixel Values

Extract Subset of Line Segment Pattern

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

Residual G Function

Inhomogeneous K-function

Lambert's W Function

The Strauss Point Process Model

The Soft Core Point Process Model

Apply Affine Transformation To Line Segment Pattern

Apply Affine Transformation

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Pine saplings in Finland.

Identify Segments in a Line Segment Pattern

Diggle's Heather Data

Lansing Woods Point Pattern

Point and Click Interface for Exploratory Analysis of Point Pattern

Make Periodic Copies of a Spatial Pattern

Plot a Colour Map

plot.influence.ppm

Plot Influence Measure

Plot a tessellation

Predicted or Fitted Values from Spatial Logistic Regression

Simulate Matern Model I

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Generate Poisson Point Pattern on Line Segments

Generate N Uniform Random Points in a Disc

Beadlet Anemones Data

Divide Point Pattern into Sub-patterns

Contour plot of pixel image

Kernel Smoothed Intensity of Point Pattern

Simulation Envelopes of Summary Function for 3D Point Pattern

Apply Expansion Rule

Make Pixel Images Compatible

Test Whether a Window is Convex

Test Whether Marks Are Present

Number of Line Segments in a Line Segment Pattern

Pair Correlation Function of Point Pattern

Perfect Simulation of the Strauss Process

Multidimensional Space-Time Point Pattern

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Cartesian Coordinates for a Pixel Raster

Generate N Random Points

Interpret Fitted Model for Metropolis-Hastings Simulation.

Centroid of a window

Interactively join vertices on a plot

Interactively Add Points

Coefficients of Fitted Point Process Model

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Function Value Table

Point and Click Interface for Displaying a Point Pattern

Create List of Plotting Layers

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Create Point Pattern on Linear Network

Mark Correlation Function

Marks of a Line Segment Pattern

Nearest neighbours in three dimensions

Morphological Opening

Multitype pair correlation function (cross-type)

Pair Correlation Function

Plot a Simulation Envelope

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

rPoissonCluster

Simulate Poisson Cluster Process

Random Perturbation of a Point Pattern

Convert Line Segment Pattern to Another Unit of Length

Randomly Shift a Point Pattern

Set Covariance of a Window

Pixel Values Along a Transect

Check Whether Point Process Model is Valid

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Weighted Histogram

Marked K-Function

Orientation Angles of Line Segments

Difference of Disc Areas

Apply a Function to a Point Pattern Broken Down by Factor

Test Whether Function Objects Are Compatible

Integral of a Pixel Image

Intensity of Fitted Point Process Model

Compute Images of Constructed Covariates

Methods for Multidimensional Space-Time Point Patterns

multiplicity.ppp

Count Multiplicity of Duplicate Points

Nearest Neighbour Distances in Any Dimensions

Quadrature Scheme Based on Pixel Grid

Plot a linear network

plot a Spatial Point Pattern

Distance Between Two Point Patterns

Quadrat counting for a point pattern

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Prediction from a Fitted Cluster Point Process Model

Sample Quantiles of Pixel Image

Define Point Process Model for Metropolis-Hastings Simulation.

Randomly Shift a Line Segment Pattern

Summarizing a Fitted Point Process Model

Simulate a Fitted Spatial Logistic Regression Model

Summary of a Line Segment Pattern Dataset

Compute Areas of Tiles in a Tessellation

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

The Hard Core Point Process Model

Multitype J Function (i-to-any)

Multitype K Function (Cross-type)

Ord's Interaction model

Residual K Function

Intersect Infinite Straight Lines with a Window

Diameter of an Object

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Circular Window

Distance Map of Line Segment Pattern

Safely Convert Point Pattern Window to Binary Mask

Determine Duplicated Points in a Spatial Point Pattern

Compute Quadrature Weights Based on Grid Counts

Identify Points in a Point Pattern

Linear Pair Correlation Function

Methods for Multi-Dimensional Box

Nearest Neighbours Between Two Patterns

Nearest neighbour distances in three dimensions

Pairwise shortest-path distances between points on a linear network

Pool Data from Several Function Arrays

Plot a three-dimensional point pattern

pppmatching.object

Class of Point Matchings

project2segment

Move Point To Nearest Line

Interaction Distance of a Point Process

Reduced Sample Estimator using Histogram Data

Generate N Uniform Random Points in Any Dimensions

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Name for Unit of Length

Test Expansion Rule