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spatstat (version 1.25-4)

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

22,386

Version

1.25-4

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

February 29th, 2012

Functions in spatstat (1.25-4)

Inhomogeneous Multitype K Dot Function

Reset Values in Subset of Image

ANOVA for Fitted Point Process Models on Linear Network

Pairwise distances between two different line segment patterns

Area of Part of Disc

Basis for Harmonic Functions

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Test Whether Function Objects Are Compatible

Evaluate Expression Involving Function Arrays

Distance Map of Window

Nearest Neighbour Distances in Any Dimensions

Poisson Point Process Model

plot a Spatial Line Segment Pattern

Difference of Disc Areas

Plot a Fitted Spatial Logistic Regression

Hyper Data Frame

Pair Correlation Function obtained from K Function

Convert Data To Class ppp

Combine Function Value Tables

Extract or Replace Subset of Point Pattern

Simulation Envelopes of Summary Function for 3D Point Pattern

Multitype J Function (i-to-j)

The Strauss / Hard Core Point Process Model

Infinite Straight Lines

Estimate the I-function

Extract Interaction Structure

Multitype pair correlation function (cross-type)

plot.leverage.ppm

Plot Leverage Function

K function of a model

Distance to Boundary of Window

Test Whether An Object Is A Pixel Image

Convert Data To Class psp

Coefficients of Fitted Point Process Model

Convert and Compare Colours in Different Formats

Harkness-Isham ants' nests data

Convert Data to Hyperframe

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Residual Diagnostics for Multiple Fitted Models

Convert Polygonal Region into Different Format

Morphological Erosion

Berman's Tests for Point Process Model

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

crossdist.default

Pairwise distances between two different sets of points

Nearest neighbour distances in three dimensions

Extract Subset of Line Segment Pattern

Nearest neighbour distances

Extract.splitppp

Extract or Replace Sub-Patterns

Convert Line Segment Pattern to Pixel Image

The Area Interaction Point Process Model

Rectangular grid of points

Kaplan-Meier and Reduced Sample Estimator using Histograms

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

Convert Data to Numeric Values by Constructing Dummy Variables

Parameter influence measure

Spherical Contact Distribution Function

Multi-Dimensional Box

Midpoints of Line Segment Pattern

Circumradius and Diameter of a Linear Network

Number of Line Segments in a Line Segment Pattern

Dirichlet Tessellation of Point Pattern

Distance to Boundary of Window

Pairwise distances

Force Point Process Model to be Valid

Diagnostic Plots for Fitted Point Process Model

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

ANOVA for Fitted Point Process Models

Marked K-Function

Geometrical Calculations for Three-Dimensional Box

Inhomogeneous Linear K Function

Perimeter Length of Window

Methods for three-dimensional point patterns

Nearest Neighbour Distance Function G

Evaluate Expression Involving Functions

Inhomogeneous Cross Type L Function

Create a Point Pattern

Weighted Empirical Cumulative Distribution Function

Evaluate Expression Involving Pixel Images

Marks of a Line Segment Pattern

Multitype L-function (i-to-any)

Beadlet Anemones Data

Extract Subset of Signed or Vector Measure

Extract Subset of Image

Print Brief Details of an Image

Convert Pixel Image to Matrix or Array

Apply Affine Transformation To Window

Nearest Neighbours Between Two Patterns

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Print Progress Reports

Extract Subset of Function Array

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Endpoints of Line Segment Pattern

Print a Fitted Point Process Model

Create a Function Value Table

Class of Quadrature Schemes

Inhomogeneous K-function

project2segment

Move Point To Nearest Line

model.matrix.ppm

Extract Design Matrix from Point Process Model

Perfect Simulation of the Diggle-Gratton Process

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Leverage Measure for Spatial Point Process Model

Interactively Define a Polygon

Apply Function to Every Neighbourhood in a Point Pattern

Colour Lookup Tables

Convert Data To Class owin

Three-Dimensional Box

nearest.raster.point

Find Pixel Nearest to a Given Point

bounding.box.xy

Convex Hull of Points

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

plot a Fitted Point Process Model

Bronze gradient filter data

Quadrat counting for a point pattern

Pine saplings in Finland.

Log Likelihood and AIC for Point Process Model

Concatenate x,y Coordinate Vectors

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

The Multitype Hard Core Point Process Model

Crossing Points of Two Line Segment Patterns

rPoissonCluster

Simulate Poisson Cluster Process

Integral of a Pixel Image

Simulate Matern Model I

Area of a Window

Residuals for Fitted Point Process Model

Inverse-distance weighted smoothing of observations at irregular points

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Identify Segments in a Line Segment Pattern

Distance Map as a Function

Test Whether An Object Is Empty

Combine Two Line Segment Patterns

Create List of Plotting Layers

Simulate Neyman-Scott Process

Function Value Table

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Plot a Colour Map

Loglikelihood of Spatial Logistic Regression

Chorley-Ribble Cancer Data

Convert Data To Tessellation

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Collapse Several Function Tables into One

Pairwise distances between two different three-dimensional point patterns

Geometrical Calculations for Multi-Dimensional Box

Kernel Smoothing of Line Segment Pattern

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Distance Map of Line Segment Pattern

Create Pixel Image on Linear Network

envelope.envelope

Recompute Envelopes

Compute Disc of Given Radius in Linear Network

Summarise Marks in Every Neighbourhood in a Point Pattern

Perspective Plot of Pixel Image

Linear K Function

Generate Poisson Random Line Process

Nearest Neighbour Clutter Removal

Methods for Spatial Logistic Regression Models

Scatterplot Matrix for Pixel Images

Classify Points in a Point Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Methods for Linear Networks

Pool Data from Several Function Arrays

Intersection, Union or Set Subtraction of Two Windows

Lurking variable plot

model.frame.ppm

Extract the Environment of a Point Process Model

Marks of a Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Methods for Point Patterns on a Linear Network

Generate Poisson Point Pattern

Identify Covariates Involved in each Model Term

Tropical rain forest trees

Test Whether An Object Is A Fitted Point Process Model

Diameter of an Object

Function Arrays for Spatial Patterns

Find Line Segment Nearest to Each Point

Test Whether A Point Process Model is Marked

Rotate a Point Pattern

Test Whether Marks Are Present

Determine Whether One Window is Contained In Another

Inhomogeneous Neighbourhood Density Function

Class of Fitted Point Process Models

Corners of a rectangle

Nearest Neighbours in Any Dimensions

Methods for Multidimensional Space-Time Point Patterns

Prediction from a Fitted Point Process Model

Mosaic Random Field

Dummy Function Returns Number of Points

K-function of a Three-Dimensional Point Pattern

Convert Function Value Table to Function

Fit the Thomas Point Process by Minimum Contrast

Simulate Simple Sequential Inhibition

Pairwise distances in Three Dimensions

Apply Vector Translation To Window

Neighbourhood density function

Interactively join vertices on a plot

Pixel Image Approximation of a Window

Create Point Pattern on Linear Network

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Galaxies in the Shapley Supercluster

Nearest neighbours in three dimensions

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Update a Fitted Point Process Model

Methods for Units

Envelope for Point Patterns on Linear Network

Apply Affine Transformation

Pairwise distances

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Apply Vector Translation To Line Segment Pattern

Reduced Sample Estimator using Histogram Data

Point and Click Interface for Exploratory Analysis of Point Pattern

spatstat-deprecated

Deprecated spatstat functions

Simulate point patterns using the Metropolis-Hastings algorithm.

Sample Quantiles of Pixel Image

Convert Point Pattern to Pixel Image

Exchange X and Y Coordinates

Perfect Simulation of the Strauss-Hardcore Process

Triplet Interaction Family

Distance for a Point Pattern Matching

Nearest neighbour distances between line segments

Plot Function Values

Delaunay Triangulation of Point Pattern

Profile Maximum Pseudolikelihood

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Class of Images

Summary of a Spatial Window

Generate Multitype Poisson Point Pattern

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Evaluate an Expression in a Function Table

Extract Unique Points from a Spatial Point Pattern

Pool Data from Several Envelopes

Summary of a List of Things

Print News About Latest Version of Package

Extract the Interaction from a Fitted Point Process Model

Exponential Energy Marks

Convert Pixel Image to Another Unit of Length

Inhomogeneous Linear Pair Correlation Function

Pair Correlation Function obtained from array of K functions

Perfect Simulation of the Strauss Process

Spatial smoothing of observations at irregular points

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Methods for Intensity Functions of Spatial Covariate

Plot a Spatial Window

Interaction Distance of a Point Process

spatstat-internal

Internal spatstat functions

Convert to Pixel Image

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

The Lennard-Jones Potential

Fit the Neyman-Scott cluster process with Cauchy kernel

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

Interpret Fitted Model for Metropolis-Hastings Simulation.

Pair Correlation Function of a Three-Dimensional Point Pattern

Nearest neighbour

K-function using FFT

Morphological Opening

quadratresample

Resample a Point Pattern by Resampling Quadrats

Ord Interaction Process Family

Summarizing a Fitted Point Process Model

Gorilla Nesting Sites

Subdivide a Window or Tessellation using a Set of Lines

plot.influence.ppm

Plot Influence Measure

Poisson Point Process on a Linear Network

Intersect Infinite Straight Lines with a Window

Saturated Pairwise Interaction Point Process Family

Generate N Random Points

Convert Line Segment Pattern to Another Unit of Length

Recognise Stationary and Poisson Point Process Models

Find Largest Circle Inside Window

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Pairwise shortest-path distances between points on a linear network

Empty Space Function of a Three-Dimensional Point Pattern

Lengths of Line Segments

The Piecewise Constant Pairwise Interaction Point Process Model

Simulate Matern Cluster Process

Smoothing Estimate of Covariate Transformation

Plot a Simulation Envelope

Pair Correlation Function

plot.bermantest

Plot Result of Berman Test

Hutchings' Bramble Canes data

Extract Original Data from a Fitted Point Process Model

rescue.rectangle

Convert Window Back To Rectangle

pppmatching.object

Class of Point Matchings

Print Brief Details of a Point Pattern Dataset

spatstat.options

Internal Options in Spatstat Package

Read Point Pattern From Data File

Weighted kernel smoother

Cross Validated Bandwidth Selection for Kernel Density

compatible.fasp

Test Whether Function Arrays Are Compatible

Scott's Rule for Bandwidth Selection for Kernel Density

Apply Function to Image Broken Down by Factor

Simple Example of Linear Network

Fry Plot of Point Pattern

Diggle-Gratton model

Kernel Smoothed Intensity of Point Pattern

Volume of an Object

Compute Quadrature Weights Based on Grid Counts

The Strauss Point Process Model

Create a Point Matching

Pool Data from Several Ratio Objects

Extract Subset of Function Values

Bounding Box of a Window or Point Pattern

Beta Ganglion Cells in Cat Retina

Simulate a Fitted Spatial Logistic Regression Model

Random Perturbation of a Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

The Multitype Strauss Point Process Model

Convex Hull of Points

Pseudoscore Diagnostic For Fitted Model against General Alternative

Create a Tessellation

Residual G Function

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Estimate window from points alone

Multitype L-function (cross-type)

Theoretical Distribution of Nearest Neighbour Distance

plot a Spatial Point Pattern

Apply Vector Translation To Pixel Image

Sufficient Statistic of Point Process Model

as.data.frame.im

Convert Pixel Image to Data Frame

Test Whether Points Are Inside A Window

Extract or Replace Subset of Tessellation

Set Covariance of a Window

Generate grid of parallel lines with random displacement

Test Whether a Window is Convex

Random Re-Labelling of Point Pattern

Japanese Pines Point Pattern

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

Level Set of a Pixel Image

Cartesian Coordinates for a Pixel Raster

Point and Click Interface for Displaying a Point Pattern

Mark Correlation Integral

Morishita Index Plot

Difference of Disc Areas

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

Plot a List of Things

Distance to Boundary of Window

Interpolate a Pixel Image

Simulate Stratified Random Point Pattern

Plot a linear network

Print Brief Details of a Spatial Window

Extract or Replace Subset of a List of Things

Create a Pixel Image Object

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Inhomogeneous Multitype L Dot Function

Union of Data and Dummy Points

Apply Smoothing to Function Values

Circular Window

Fit the Matern Cluster Point Process by Minimum Contrast

Simulation Envelopes of Summary Function

Summarizing a Quadrature Scheme

Saturated Pairwise Interaction model

Perfect Simulation of the Diggle-Gates-Stibbard Process

Divide Point Pattern into Sub-patterns

Generate N Uniform Random Points in Any Dimensions

Pairwise distances

Multitype pair correlation function (i-to-any)

Distance Map of Point Pattern

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Methods for Fitted Point Process Models on a Linear Network

Plot a Signed or Vector-Valued Measure

Interactively Add Points

spatstat-package

The Spatstat Package

Apply a Function to a Point Pattern Broken Down by Factor

Print Brief Details of a Line Segment Pattern Dataset

Generate N Random Multitype Points

Pairwise Distances in Any Dimensions

Diameter of a Window

Approximate a Polygon by a Simpler Polygon

Vertices of a Window

Summarizing a Pixel Image

Variance-Covariance Matrix for a Fitted Point Process Model

Safely Convert Point Pattern Window to Binary Mask

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Update a Fitted Cluster Point Process Model

Areas of Morphological Dilations

Divide Region into Quadrats

Expand Window By Factor

Generic Ord Interaction model

complement.owin

Take Complement of a Window

Optimise Irregular Trend Parameters in Point Process Model

Plot a fitted cluster point process

Hybrid Geyer Point Process Model

Methods for Three-Dimensional Box

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Kaplan-Meier Estimator using Histogram Data

Longleaf Pines Point Pattern

Plot Pixel Image on Linear Network

Multitype K Function (Cross-type)

Generate N Uniform Random Points in Three Dimensions

Model Compensator of K Function

Nonparametric Estimate of Spatially-Varying Relative Risk

Third order summary statistic

Mark Correlation Function

Generate Poisson Point Pattern on Line Segments

vargamma.estpcf

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

summary.splitppp

Summary of a Split Point Pattern

Murchison gold deposits

Fit Cluster or Cox Point Process Model

Create a Window

Create a Line Segment Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

pairwise.family

Pairwise Interaction Process Family

Cut margins from rectangle

Test whether Object is Multitype

The Soft Core Point Process Model

Class of Point Patterns

Connected components of an image or window

Simulate a Fitted Gibbs Point Process Model

Generate a Default Pattern of Dummy Points

Test Whether Pixel Images Are Compatible

Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Pairwise distances between line segments

Plot a List of Point Patterns

Berman-Huntington points and lines data

Generate Poisson Point Pattern in Any Dimensions

Aherne's hamster tumour data

Convert Point Pattern to Another Unit of Length

Foxall's Distance Functions

Plot a Function Array

Morphological Dilation

Fit the Thomas Point Process by Minimum Contrast

Biological Cells Point Pattern

matclust.estpcf

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

Make Pixel Images Compatible

Uniform Random Points on a Linear Network

Convert Window to Pixel Image

Diggle's Heather Data

Influenza Virus Proteins

Randomly Shift a Line Segment Pattern

Make Periodic Copies of a Spatial Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Class of Line Segment Patterns

Check Whether Point Process Model is Valid

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Spokes pattern of dummy points

Method of Minimum Contrast

Simulate Log-Gaussian Cox Process

Convert dataset to another unit of length

Simulated Point Pattern

Beta Ganglion Cells in Cat Retina, Old Version

Quadrature Scheme Based on Pixel Grid

Predicted or Fitted Values from Spatial Logistic Regression

Linear Pair Correlation Function

Subset of Quadrature Scheme

Kolmogorov-Smirnov Test for Point Process Model

The Hard Core Point Process Model

Define Point Process Model for Metropolis-Hastings Simulation.

Generate N Uniform Random Points

Fit Point Process Model to Point Pattern on Linear Network

The Triplet Point Process Model

Generic Pairwise Interaction model

Model Compensator of Nearest Neighbour Function

Analysis of Deviance for Spatial Logistic Regression Models

Plot a plotppm Object Created by plot.ppm

Poisson Line Tessellation

Fit the Neyman-Scott cluster process with Cauchy kernel

Spatial Logistic Regression

Randomly Shift a Point Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Data and Code From JRSS Discussion Paper on Residuals

Convert Pixel Image to Matrix

pairdist.default

Pairwise distances

Compute Integral of Function Against Cumulative Distribution

clarkevans.test

Clark and Evans Test

Calculate four standard summary functions of a point pattern.

Identify Pixelwise Maximum of Several Pixel Images

Plot a tessellation

Convert Window to Another Unit of Length

Superimpose Several Geometric Patterns

Geyer's Saturation Point Process Model

Ponderosa Pine Tree Point Pattern

Identify Points in a Point Pattern

Smooth a Signed or Vector-Valued Measure

Test Whether An Object Is A Point Pattern

Test Whether An Object Is A Window

rshift.splitppp

Randomly Shift a List of Point Patterns

Data Sharpening of Point Pattern

methods.distfun

Methods for Distance Functions

Spatial Covariance of a Pixel Image

Methods for Cluster Point Process Models

Convert Spatial Object to Pixel Image

Number of Points in a Point Pattern

Compute Quadratic Forms

Simulate systematic random point pattern

Divide Image Into Sub-images

Estimate Variance of Summary Statistic by Subdivision

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

Compute Images of Constructed Covariates

Q-Q Plot of Residuals from Fitted Point Process Model

Residual K Function

Create a Linear Network

Mark Connection Function

Lansing Woods Point Pattern

Areas of Morphological Erosions

Prediction from a Fitted Cluster Point Process Model

Convert Pixel Image from Numeric to Factor

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Rotate a Window

Locally Scaled K-function

Summary of a Point Pattern Dataset

Summary of a Line Segment Pattern Dataset

Ord's Interaction model

Orientation Angles of Line Segments

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Model Formulae for Gibbs Point Process Models

Hughes' Amacrine Cell Data

Methods for Multi-Dimensional Box

multiplicity.ppp

Count Multiplicity of Duplicate Points

Three Dimensional Point Pattern

Point Patterns of New Brunswick Forest Fires

Simulate Thomas Process

Histogram of Pixel Values in an Image

California Redwoods Point Pattern (Entire Dataset)

Distance Between Two Point Patterns

Reduced Second Moment Measure

Simulate Baddeley-Silverman Cell Process

Diagnostics for random marking

Perfect Simulation of the Hardcore Process

Clark and Evans Aggregation Index

Generate a Quadrature Scheme from a Point Pattern

plot a Spatial Quadrature Scheme

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Chicago Street Crime Data

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Simulate a Fitted Cluster Point Process Model

Extract List of Tiles in a Tessellation

Random Thinning

The Fiksel Interaction

Marked Nearest Neighbour Distance Function

Multitype J Function (i-to-any)

Inhomogeneous Cross K Function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Contour plot of pixel image

Artificial Data Point Pattern

Intersection of Two Tessellations

Local pair correlation function

Apply Affine Transformation To Point Pattern

inforder.family

Infinite Order Interaction Family

Convert Data to Three-Dimensional Box

Cross Validated Bandwidth Selection for Spatial Smoothing

Test Whether Objects Are Compatible

New Zealand Trees Point Pattern

Multidimensional Space-Time Point Pattern

Determine A Common Spatial Domain And Pixel Resolution

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Pair Correlation Function of Point Pattern

Simulate Matern Model II

Signed or Vector-Valued Measure

scaletointerval

Rescale Data to Lie Between Specified Limits

Apply Vector Translation

Compute Areas of Tiles in a Tessellation

Spruces Point Pattern

Generate N Uniform Random Points in a Disc

Plot a three-dimensional point pattern

Plot a Spatial Kolmogorov-Smirnov Test

Fit Point Process Model to Data

Inhomogeneous Pair Correlation Function

Create Colour-Valued Pixel Image

California Redwoods Point Pattern (Ripley's Subset)

Print a Quadrature Scheme

Apply Vector Translation To Point Pattern

Spatial Scan Test

Urkiola Woods Point Pattern

Place Points Evenly Along Specified Lines

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Mosaic Random Set

Set Control Parameters for Metropolis-Hastings Algorithm.

Rounding of Pixel Values

Determine Initial State for Metropolis-Hastings Simulation.

Weighted Histogram

Simulate from a Fitted Point Process Model

Predict Point Process Model on Linear Network

Plot a Pixel Image

Simulate Gauss-Poisson Process

Plot a List of Things

Generate Poisson Point Pattern in Three Dimensions

plot.hyperframe

Plot Entries in a Hyperframe

Border Region of a Window

Swedish Pines Point Pattern

Determine Duplicated Points in a Spatial Point Pattern

Marked J Function

Apply Affine Transformation To Line Segment Pattern

Apply Gaussian Blur to a Pixel Image

Convert a Window to a Polygonal Window

Influence Measure for Spatial Point Process Model

Fitted Probabilities for Spatial Logistic Regression

Rotate a Line Segment Pattern

Estimate the empty space function F

Morphological Closing

edges2triangles

List Triangles in a Graph

Test Whether A Point Pattern is Marked

Convert Line Segment Pattern to Binary Pixel Mask

Pairwise distances between two different point patterns

Compute Expansion Window for Simulation

Estimate the J-function

Centroid of a window

Window in Shape of Letter R

Cross Validated Bandwidth Selection for Relative Risk Estimation

Stoyan's Rule of Thumb for Bandwidth Selection

Fitted Conditional Intensity for Point Process Model

Multitype K Function (i-to-any)

Name for Unit of Length

Humberside Data on Childhood Leukaemia and Lymphoma

Coefficients of Fitted Spatial Logistic Regression Model