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spatstat (version 1.9-6)

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. Contains functions for exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, and pixel images. Point process models can be fitted to point pattern data. Cluster type models are fitted by the method of minimum contrast. Very general Gibbs point process models can be fitted to point pattern data using a function ppm similar to lm or glm. Models may include dependence on covariates, interpoint interaction 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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Version

Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.9-6

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.9-6)

Inhomogeneous Cross K Function

Estimate the I-function

Convert Pixel Image to Matrix

Rectangular grid of points

Corners of a rectangle

The Piecewise Constant Pairwise Interaction Point Process Model

Beta Ganglion Cells in Cat Retina

Convert Data To Class ppp

Generic Pairwise Interaction model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Convert Data To Class owin

Marked Nearest Neighbour Distance Function

Longleaf Pines Point Pattern

Calculate Statistic for All Types in a Multitype Point Pattern

Data Frames of Function Values

The Lennard-Jones Potential

Test Whether Points Are Inside A Window

Distance Map of Point Pattern

Nearest neighbour

The Multitype Strauss Point Process Model

The Strauss Point Process Model

Kaplan-Meier and Reduced Sample Estimator using Histograms

Apply Function to Every Neighbourhood in a Point Pattern

Hughes' Amacrine Cell Data

Distance Map of Window

Poisson Point Process Model

plot a Fitted Point Process Model

Randomly Shift a Line Segment Pattern

Plot a List of Point Patterns

Summary of a Point Pattern Dataset

Test Whether An Object Is A Point Pattern

Hutchings' Bramble Canes data

Dilate a Window

Bounding Box of a Window

Harkness-Isham ants' nests data

Simulate Matern Cluster Process

Kernel Smoothed Intensity of Point Pattern

Nearest neighbour distances

Intersection or Union of Two Windows

Biological Cells Point Pattern

Class of Point Patterns

Fitted Conditional Intensity for Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Optimal Match Between Two Point Patterns

Humberside Data on Childhood Leukaemia and Lymphoma

Simulate Neyman-Scott Process

Reduced Sample Estimator using Histogram Data

Generate N Uniform Random Points

Generate a Quadrature Scheme from a Point Pattern

Set Control Parameters for Metropolis-Hastings Algorithm.

Window in Shape of Letter R

Pairwise distances between two different point patterns

Q-Q Plot of Residuals from Fitted Point Process Model

Perfect Simulation of the Strauss Process

Method of Minimum Contrast

Simulate Matern Model I

Compute Quadrature Weights Based on Grid Counts

spatstat-deprecated

Deprecated spatstat functions

Class of Quadrature Schemes

Pairwise distances

Expand Window By Factor

Generate Poisson Random Line Process

Simulated Point Pattern

Generate N Random Multitype Points

California Redwoods Point Pattern (Ripley's Subset)

Print a Fitted Point Process Model

Define Point Process Model for Metropolis-Hastings Simulation.

Extract Quadrature Scheme Used to Fit a Point Process Model

Summary of a Spatial Window

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Areas of Morphological Erosions

Random Re-Labelling of Point Pattern

Apply Vector Translation To Line Segment Pattern

Multitype J Function (i-to-any)

plot a Spatial Quadrature Scheme

Combine Two Line Segment Patterns

Evaluate Expression Involving Pixel Images

Aherne's hamster tumour data

Test Whether An Object Is A Window

Read Point Pattern From Data File

complement.owin

Take Complement of a Window

Extract Subset of Function Array

Saturated Pairwise Interaction Point Process Family

Nearest-Neighbour Correlation of Marked Point Pattern

Data and Code From JRSS Discussion Paper on Residuals

Pair Correlation Function

Divide Point Pattern into Sub-patterns

Generate Multitype Poisson Point Pattern

Simulate from a Fitted Point Process Model

Pair Correlation Function obtained from array of K functions

Plot a Pixel Image

plot a Spatial Line Segment Pattern

Print Brief Details of a Spatial Window

Plot Function Valuesn

Print a Quadrature Scheme

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

Class of Line Segment Patterns

Create a Line Segment Pattern

Class of Fitted Point Process Models

rescue.rectangle

Convert Window Back To Rectangle

Simulate point patterns using the Metropolis-Hastings algorithm.

New Zealand Trees Point Pattern

Extract Subset of Line Segment Pattern

Randomly Shift a Point Pattern

K-function using FFT

Rotate a Point Pattern

Plot a List of Things

Cartesian Coordinates for a Pixel Raster

Residuals for Fitted Point Process Model

Quadrat counting for a point pattern

Set or Reset the Marks in a Point Pattern

Multitype J Function (i-to-j)

Saturated Pairwise Interaction model

Summarizing a Pixel Image

Apply Affine Transformation To Point Pattern

Histogram of Pixel Values in an Image

Pair Correlation Function of Point Pattern

Apply Vector Translation To Pixel Image

Generic Ord Interaction model

Generate N Random Points

Pairwise distances

Orientation Angles of Line Segments

Marked K-Function

ANOVA for Fitted Point Process Models

Tropical rain forest trees

Test Whether A Point Pattern is Marked

Apply Vector Translation To Point Pattern

Superimpose Several Point Patterns

Pixel Image Approximation of a Window

Area of a Window

Diagnostic Plots for Fitted Point Process Model

Distance Map of Line Segment Pattern

Create a Pixel Image Object

Beta Ganglion Cells in Cat Retina, Old Version

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

Nearest Neighbour Distance Function G

Pairwise distances between two different line segment patterns

Apply Affine Transformation To Window

Function Arrays for Spatial Patterns

Lengths of Line Segments

Lurking variable plot

Evaluate Expression Involving Functions

Create a Window

Lansing Woods Point Pattern

Ord Interaction Process Family

Spruces Point Pattern

Pair Correlation Function obtained from K Function

Test Whether Marks Are Present

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

plot a Spatial Point Pattern

Rotate a Line Segment Pattern

Set Covariance of a Window

Spokes pattern of dummy points

Simulate systematic random point pattern

Apply Vector Translation To Window

Simulate Matern Model II

Print Brief Details of a Line Segment Pattern Dataset

The Strauss / Hard Core Point Process Model

Apply Affine Transformation

Diameter of a Window Frame

Kernel Smoothing of Line Segment Pattern

Identify Points in a Point Pattern

Determine Whether One Window is Contained In Another

Simulation envelopes of summary function

Japanese Pines Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Fit the Matern Cluster Point Process by Minimum Contrast

Sample Quantiles of Pixel Image

California Redwoods Point Pattern (Entire Dataset)

The Spatstat Package

Summary of a Line Segment Pattern Dataset

Multitype K Function (i-to-any)

Convert to Pixel Image

Convert Point Pattern Marks from Numeric to Factor

Centroid of a window

Estimate the J-function

Level Set of a Pixel Image

Exponential Energy Marks

pairdist.default

Pairwise distances

Coefficients of Fitted Point Process Model

Swedish Pines Point Pattern

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

pairwise.family

Pairwise Interaction Process Family

Reduced Second Moment Measure

Extract Subset of Function Values

Crossing Points of Two Line Segment Patterns

Print Brief Details of a Point Pattern Dataset

Chorley-Ribble Cancer Data

Pairwise distances

rshift.splitppp

Randomly Shift a List of Point Patterns

Extract or Replace Subset of Point Pattern

Nearest Neighbour in Another Point Pattern

Print Brief Details of an Image

Simulate Baddeley-Silverman Cell Process

Inhomogeneous Multitype K Dot Function

Inhomogeneous K-function

Apply Affine Transformation To Line Segment Pattern

The Soft Core Point Process Model

Concatenate x,y Coordinate Vectors

Artificial Data Point Pattern

spatstat-internal

Internal spatstat functions

Extract Original Data from a Fitted Point Process Model

Apply Vector Translation

Simulate Stratified Random Point Pattern

Summarizing a Quadrature Scheme

Geyer's Saturation Point Process Model

Multitype K Function (Cross-type)

Convert Data To Class psp

Contour plot of pixel image

Generate a Default Pattern of Dummy Points

Determine Duplicated Points in a Spatial Point Pattern

Test Whether An Object Is A Pixel Image

multiplicity.ppp

Count Multiplicity of Duplicate Points

Kaplan-Meier Estimator using Histogram Data

Summarise Marks in Every Neighbourhood in a Point Pattern

Simulate Thomas Process

Extract Subset of Image

Plot a Spatial Window

Cut margins from rectangle

Summarizing a Fitted Point Process Model

Test Whether A Point Process Model is Marked

Random Thinning

Test Whether Two Pixel Images Are Compatible

Diggle-Gratton model

Calculate four standard summary functions of a point pattern.

Berman-Huntington points and lines data

Create a Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Test Whether Two Function Objects Are Compatible

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Mean Pixel Value in an Image

Ord's Interaction model

Estimate the empty space function F

Distance to Boundary of Window

Convert Pixel Image from Numeric to Factor

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Test Whether An Object Is A Fitted Point Process Model

Sufficient Statistic of Point Process Model

Class of Images

Pine saplings in Finland.

Fit the Thomas Point Process by Minimum Contrast

Simulate Simple Sequential Inhibition

Marked J Function

Interactively Add Points

Interaction Distance of a Point Process

Midpoints of Line Segment Pattern

crossdist.default

Pairwise distances between two different sets of points

Distance to Boundary of Window

Fit Point Process Model to Data

Estimate window from points alone

Plot a Function Array

Basis for Harmonic Functions

Endpoints of Line Segment Pattern

Prediction from a Fitted Point Process Model

Union of Data and Dummy Points

Update a Fitted Point Process Model

Profile Maximum Pseudolikelihood

Plot a plotppm Object Created by plot.ppm

Mark Correlation Function

Generate Poisson Point Pattern

nearest.raster.point

Find Pixel Nearest to a Given Point

Determine Initial State for Metropolis-Hastings Simulation.

Extract Unique Points from a Spatial Point Pattern

Pairwise distances between line segments

Perspective Plot of Pixel Image

Rotate a Window

Remove Marks from a Marked Point Pattern

spatstat.options

Internal Options in Spatstat Package