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spatstat (version 1.11-5)

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

16,015

Version

1.11-5

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.11-5)

Marked J Function

Multitype K Function (Cross-type)

Convert to Pixel Image

Crossing Points of Two Line Segment Patterns

Ord's Interaction model

Diagnostic Plots for Fitted Point Process Model

Nearest Neighbour Distance Function G

Nearest neighbour distances between line segments

The Piecewise Constant Pairwise Interaction Point Process Model

Convert Pixel Image from Numeric to Factor

Convert Pixel Image to Matrix

Marked Nearest Neighbour Distance Function

Method of Minimum Contrast

Convert Data To Class psp

Circular Window

Kernel Smoothed Intensity of Point Pattern

Test Whether Points Are Inside A Window

Test Whether Two Function Objects Are Compatible

Intersection or Union of Two Windows

Determine Duplicated Points in a Spatial Point Pattern

Calculate four standard summary functions of a point pattern.

Estimate window from points alone

The Soft Core Point Process Model

Class of Point Patterns

Corners of a rectangle

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Interactively Add Points

Centroid of a window

Plot a plotppm Object Created by plot.ppm

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

Determine Whether One Window is Contained In Another

Plot a Function Array

Extract Quadrature Scheme Used to Fit a Point Process Model

Distance Map of Line Segment Pattern

Hughes' Amacrine Cell Data

Interaction Distance of a Point Process

Combine Two Line Segment Patterns

Generate N Random Points

Area of a Window

Generate a Default Pattern of Dummy Points

Poisson Point Process Model

Convex Hull of Points

Print Brief Details of an Image

Test Whether Two Pixel Images Are Compatible

bounding.box.xy

Convex Hull of Points

Estimate the J-function

Pairwise distances between two different point patterns

Distance Map of Window

Extract Subset of Function Array

Fitted Conditional Intensity for Point Process Model

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Compute Quadrature Weights Based on Grid Counts

Expand Window By Factor

Artificial Data Point Pattern

Identify Points in a Point Pattern

Areas of Morphological Erosions

Extract the Interaction from a Fitted Point Process Model

Inhomogeneous K-function

Estimate the empty space function F

Saturated Pairwise Interaction model

Apply Affine Transformation

Hutchings' Bramble Canes data

Marked K-Function

Kaplan-Meier and Reduced Sample Estimator using Histograms

nearest.raster.point

Find Pixel Nearest to a Given Point

Multitype K Function (i-to-any)

Randomly Shift a Line Segment Pattern

The Spatstat Package

Pixel Image Approximation of a Window

crossdist.default

Pairwise distances between two different sets of points

Harkness-Isham ants' nests data

Apply Affine Transformation To Line Segment Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

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

spatstat-deprecated

Deprecated spatstat functions

Test Whether An Object Is A Pixel Image

Pairwise distances between two different line segment patterns

complement.owin

Take Complement of a Window

Test Whether Marks Are Present

Convert Data To Class ppp

Longleaf Pines Point Pattern

Simulate systematic random point pattern

Diggle-Gratton model

Test whether Object is Multitype

Apply Function to Every Neighbourhood in a Point Pattern

Test Whether An Object Is A Fitted Point Process Model

Create a Point Pattern

The Strauss / Hard Core Point Process Model

The Lennard-Jones Potential

Print Brief Details of a Spatial Window

Beta Ganglion Cells in Cat Retina

Distance to Boundary of Window

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Dilate a Window

Point Patterns of New Brunswick Forest Fires

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Create a Window

spatstat-internal

Internal spatstat functions

Extract or Replace Subset of a List of Things

Nearest neighbour

Profile Maximum Pseudolikelihood

Japanese Pines Point Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Extract Subset of Line Segment Pattern

Test Whether An Object Is A Window

Pair Correlation Function obtained from array of K functions

Kolmogorov-Smirnov Test for Point Process Model

Pair Correlation Function of Point Pattern

Multitype J Function (i-to-j)

plot a Fitted Point Process Model

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

plot a Spatial Point Pattern

Simulate Simple Sequential Inhibition

Apply Vector Translation To Pixel Image

Plot a List of Point Patterns

Fit the Matern Cluster Point Process by Minimum Contrast

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Bounding Box of a Window or Point Pattern

Prediction from a Fitted Point Process Model

Set or Reset the Marks in a Point Pattern

Plot Function Valuesn

Data and Code From JRSS Discussion Paper on Residuals

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

Fit Point Process Model to Data

Convert Line Segment Pattern to Another Unit of Length

Define Point Process Model for Metropolis-Hastings Simulation.

Reduced Second Moment Measure

Extract Original Data from a Fitted Point Process Model

Apply Vector Translation

Create a Line Segment Pattern

Q-Q Plot of Residuals from Fitted Point Process Model

Generic Pairwise Interaction model

Simulate Matern Model I

Simulate Matern Model II

plot a Spatial Line Segment Pattern

Distance Map of Point Pattern

Pairwise distances

Test Whether A Point Pattern is Marked

Residuals for Fitted Point Process Model

Pair Correlation Function obtained from K Function

Random Re-Labelling of Point Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Calculate Statistic for All Types in a Multitype Point Pattern

Set Covariance of a Window

Endpoints of Line Segment Pattern

Simulation envelopes of summary function

Convert Point Pattern Marks from Numeric to Factor

Print Brief Details of a Point Pattern Dataset

Summarizing a Quadrature Scheme

Simulate from a Fitted Point Process Model

Class of Line Segment Patterns

Inhomogeneous Multitype K Dot Function

Reset Values in Subset of Image

Plot a List of Things

Name for Unit of Length

Weighted Empirical Cumulative Distribution Function

Function Arrays for Spatial Patterns

Summarizing a Fitted Point Process Model

K-function using FFT

Inhomogeneous Cross K Function

Pairwise distances

Berman-Huntington points and lines data

Summary of a Point Pattern Dataset

Print Progress Reports

Generate a Quadrature Scheme from a Point Pattern

Extract Unique Points from a Spatial Point Pattern

Plot a Pixel Image

Reduced Sample Estimator using Histogram Data

plot a Spatial Quadrature Scheme

Chorley-Ribble Cancer Data

Set Control Parameters for Metropolis-Hastings Algorithm.

Generic Ord Interaction model

Diameter of a Window

Rotate a Point Pattern

Beadlet Anemones Data

summary.splitppp

Summary of a Split Point Pattern

Evaluate Expression Involving Functions

Geyer's Saturation Point Process Model

Exponential Energy Marks

Orientation Angles of Line Segments

Convert Data To Class owin

The Strauss Point Process Model

Generate Multitype Poisson Point Pattern

Coefficients of Fitted Point Process Model

Class of Images

Concatenate x,y Coordinate Vectors

Pine saplings in Finland.

Union of Data and Dummy Points

Spokes pattern of dummy points

Ord Interaction Process Family

Simulate Baddeley-Silverman Cell Process

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

Convert Window to Another Unit of Length

Vertices of a Window

Pairwise distances between line segments

Rectangular grid of points

Histogram of Pixel Values in an Image

Multitype J Function (i-to-any)

Apply Affine Transformation To Window

rescue.rectangle

Convert Window Back To Rectangle

Pair Correlation Function

Generate N Random Multitype Points

Print Brief Details of a Line Segment Pattern Dataset

Simulate Thomas Process

Beta Ganglion Cells in Cat Retina, Old Version

Evaluate Expression Involving Pixel Images

multiplicity.ppp

Count Multiplicity of Duplicate Points

Level Set of a Pixel Image

Rotate a Line Segment Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Nearest neighbour distances

Rotate a Window

Distance to Boundary of Window

Aherne's hamster tumour data

Create a Pixel Image Object

Saturated Pairwise Interaction Point Process Family

Pairwise distances

Data Frames of Function Values

Mark Correlation Function

Lurking variable plot

Extract Subset of Image

Midpoints of Line Segment Pattern

Nearest-Neighbour Correlation of Marked Point Pattern

Contour plot of pixel image

pairwise.family

Pairwise Interaction Process Family

Generate N Uniform Random Points in a Disc

Tropical rain forest trees

Humberside Data on Childhood Leukaemia and Lymphoma

Sample Quantiles of Pixel Image

Basis for Harmonic Functions

pairdist.default

Pairwise distances

Random Thinning

Extract Subset of Function Values

Summary of a Line Segment Pattern Dataset

Window in Shape of Letter R

Nearest Neighbour in Another Point Pattern

Sufficient Statistic of Point Process Model

Swedish Pines Point Pattern

Test Whether An Object Is A Point Pattern

Quadrat counting for a point pattern

Plot a Spatial Window

California Redwoods Point Pattern (Ripley's Subset)

Define Point Process Model for Metropolis-Hastings Simulation.

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Print a Fitted Point Process Model

Generate Poisson Point Pattern

Apply Vector Translation To Line Segment Pattern

Cartesian Coordinates for a Pixel Raster

Test Whether A Point Process Model is Marked

Interpret Fitted Model for Metropolis-Hastings Simulation.

Convert Point Pattern to Another Unit of Length

Summarizing a Pixel Image

Cut margins from rectangle

Determine Initial State for Metropolis-Hastings Simulation.

Lansing Woods Point Pattern

Perfect Simulation of the Strauss Process

Randomly Shift a Point Pattern

Spruces Point Pattern

Generate N Uniform Random Points

Superimpose Several Point Patterns

Simulate Neyman-Scott Process

Apply Vector Translation To Window

Lengths of Line Segments

New Zealand Trees Point Pattern

California Redwoods Point Pattern (Entire Dataset)

Estimate the I-function

Apply Affine Transformation To Point Pattern

Simulate Stratified Random Point Pattern

The Multitype Strauss Point Process Model

Remove Marks from a Marked Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Extract Dummy Points Used to Fit a Point Process Model

Apply Vector Translation To Point Pattern

Mean Pixel Value in an Image

Class of Fitted Point Process Models

Perspective Plot of Pixel Image

Optimal Match Between Two Point Patterns

Print a Quadrature Scheme

Simulate Matern Cluster Process

Class of Quadrature Schemes

Read Point Pattern From Data File

Simulated Point Pattern

Summary of a List of Things

Extract or Replace Subset of Point Pattern

Fit the Thomas Point Process by Minimum Contrast

Update a Fitted Point Process Model

ANOVA for Fitted Point Process Models

Biological Cells Point Pattern

Interactively Define a Polygon

Kernel Smoothing of Line Segment Pattern

Interpolate a Pixel Image

Kaplan-Meier Estimator using Histogram Data

Convert dataset to another unit of length

rshift.splitppp

Randomly Shift a List of Point Patterns

Generate Poisson Random Line Process

Divide Point Pattern into Sub-patterns

subset.splitppp

Extract or Replace Sub-Patterns

spatstat.options

Internal Options in Spatstat Package

Summary of a Spatial Window