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spatstat (version 1.11-3)

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

18,534

Version

1.11-3

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.11-3)

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

bounding.box.xy

Convex Hull of Points

Nearest Neighbour Distance Function G

Ord's Interaction model

Centroid of a window

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Multitype J Function (i-to-j)

Pairwise distances between two different line segment patterns

Berman-Huntington points and lines data

Generate a Default Pattern of Dummy Points

Extract Dummy Points Used to Fit a Point Process Model

Circular Window

Weighted Empirical Cumulative Distribution Function

Kernel Smoothing of Line Segment Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Rectangular grid of points

Humberside Data on Childhood Leukaemia and Lymphoma

Determine Whether One Window is Contained In Another

Class of Line Segment Patterns

Kaplan-Meier and Reduced Sample Estimator using Histograms

Pairwise distances

Print Progress Reports

Quadrat counting for a point pattern

Class of Point Patterns

Convert Window to Another Unit of Length

Print a Quadrature Scheme

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

Convert dataset to another unit of length

Extract Subset of Function Values

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

Set Control Parameters for Metropolis-Hastings Algorithm.

Spokes pattern of dummy points

Generic Pairwise Interaction model

Convert Line Segment Pattern to Another Unit of Length

Beta Ganglion Cells in Cat Retina

The Strauss / Hard Core Point Process Model

Apply Affine Transformation To Window

Function Arrays for Spatial Patterns

K-function using FFT

Generic Ord Interaction model

Generate N Uniform Random Points

Interpolate a Pixel Image

The Multitype Strauss Point Process Model

Random Re-Labelling of Point Pattern

Tropical rain forest trees

The Piecewise Constant Pairwise Interaction Point Process Model

Poisson Point Process Model

Convert Pixel Image from Numeric to Factor

Apply Affine Transformation To Line Segment Pattern

Update a Fitted Point Process Model

Summary of a List of Things

Chorley-Ribble Cancer Data

Evaluate Expression Involving Functions

ANOVA for Fitted Point Process Models

Window in Shape of Letter R

Test Whether An Object Is A Window

Convert Point Pattern to Another Unit of Length

Print a Fitted Point Process Model

Test Whether An Object Is A Point Pattern

Expand Window By Factor

Diameter of a Window

Superimpose Several Point Patterns

Estimate the I-function

Concatenate x,y Coordinate Vectors

plot a Spatial Line Segment Pattern

Point Patterns of New Brunswick Forest Fires

Basis for Harmonic Functions

Lansing Woods Point Pattern

Beta Ganglion Cells in Cat Retina, Old Version

plot a Spatial Quadrature Scheme

Optimal Match Between Two Point Patterns

plot a Fitted Point Process Model

Q-Q Plot of Residuals from Fitted Point Process Model

Print Brief Details of a Point Pattern Dataset

plot a Spatial Point Pattern

Mark Correlation Function

Simulate Matern Model II

Sample Quantiles of Pixel Image

Define Point Process Model for Metropolis-Hastings Simulation.

Fit the Matern Cluster Point Process by Minimum Contrast

Plot a Pixel Image

Simulate Matern Cluster Process

Nearest-Neighbour Correlation of Marked Point Pattern

Simulate Baddeley-Silverman Cell Process

Print Brief Details of an Image

Class of Fitted Point Process Models

Simulate point patterns using the Metropolis-Hastings algorithm.

Nearest Neighbour in Another Point Pattern

Set Covariance of a Window

Create a Line Segment Pattern

Print Brief Details of a Spatial Window

Apply Vector Translation To Pixel Image

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Extract Subset of Line Segment Pattern

Convert Pixel Image to Matrix

Plot a Spatial Window

Generate Poisson Random Line Process

Summarizing a Quadrature Scheme

Random Thinning

Randomly Shift a Line Segment Pattern

Randomly Shift a Point Pattern

Vertices of a Window

summary.splitppp

Summary of a Split Point Pattern

Identify Points in a Point Pattern

Extract Unique Points from a Spatial Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Mean Pixel Value in an Image

Test Whether A Point Pattern is Marked

Apply Vector Translation To Point Pattern

Perspective Plot of Pixel Image

Corners of a rectangle

Crossing Points of Two Line Segment Patterns

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

rescue.rectangle

Convert Window Back To Rectangle

spatstat-internal

Internal spatstat functions

Saturated Pairwise Interaction model

Convert Data To Class psp

Simulate Stratified Random Point Pattern

Bounding Box of a Window or Point Pattern

Apply Vector Translation To Window

Remove Marks from a Marked Point Pattern

Estimate window from points alone

Determine Duplicated Points in a Spatial Point Pattern

Estimate the empty space function F

Endpoints of Line Segment Pattern

Artificial Data Point Pattern

Test Whether An Object Is A Pixel Image

Nearest neighbour distances

Pair Correlation Function of Point Pattern

Plot a plotppm Object Created by plot.ppm

Create a Point Pattern

Harkness-Isham ants' nests data

Convert Data To Class owin

Simulate Matern Model I

Hutchings' Bramble Canes data

Generate N Random Points

Test Whether Two Pixel Images Are Compatible

Reduced Second Moment Measure

Perfect Simulation of the Strauss Process

Distance to Boundary of Window

Rotate a Window

Divide Point Pattern into Sub-patterns

Profile Maximum Pseudolikelihood

Convert to Pixel Image

Diagnostic Plots for Fitted Point Process Model

Pairwise distances

Residuals for Fitted Point Process Model

Extract or Replace Subset of a List of Things

crossdist.default

Pairwise distances between two different sets of points

Distance Map of Point Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Simulation envelopes of summary function

Class of Images

rshift.splitppp

Randomly Shift a List of Point Patterns

Hughes' Amacrine Cell Data

Summarizing a Pixel Image

Union of Data and Dummy Points

Extract Subset of Function Array

Compute Quadrature Weights Based on Grid Counts

Combine Two Line Segment Patterns

Simulate systematic random point pattern

Cut margins from rectangle

Sufficient Statistic of Point Process Model

Test Whether Two Function Objects Are Compatible

Evaluate Expression Involving Pixel Images

Convex Hull of Points

Test Whether Points Are Inside A Window

Test Whether Marks Are Present

Pair Correlation Function obtained from array of K functions

Test Whether A Point Process Model is Marked

Saturated Pairwise Interaction Point Process Family

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Level Set of a Pixel Image

Kernel Smoothed Intensity of Point Pattern

Fitted Conditional Intensity for Point Process Model

Extract Quadrature Scheme Used to Fit a Point Process Model

Pair Correlation Function obtained from K Function

Data and Code From JRSS Discussion Paper on Residuals

Interaction Distance of a Point Process

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Summarizing a Fitted Point Process Model

Fit the Thomas Point Process by Minimum Contrast

California Redwoods Point Pattern (Ripley's Subset)

Apply Vector Translation To Line Segment Pattern

Reset Values in Subset of Image

Multitype K Function (i-to-any)

Geyer's Saturation Point Process Model

Apply Affine Transformation To Point Pattern

Orientation Angles of Line Segments

Beadlet Anemones Data

Convert Data To Class ppp

Contour plot of pixel image

Histogram of Pixel Values in an Image

Create a Pixel Image Object

Test whether Object is Multitype

Japanese Pines Point Pattern

Kolmogorov-Smirnov Test for Point Process Model

Plot a Function Array

Ord Interaction Process Family

Generate a Quadrature Scheme from a Point Pattern

Class of Quadrature Schemes

Generate Multitype Poisson Point Pattern

Extract or Replace Subset of Point Pattern

Marked Nearest Neighbour Distance Function

Inhomogeneous Multitype K Dot Function

The Strauss Point Process Model

The Soft Core Point Process Model

Area of a Window

Diggle-Gratton model

complement.owin

Take Complement of a Window

Areas of Morphological Erosions

Marked J Function

Kaplan-Meier Estimator using Histogram Data

Nearest neighbour

Summarise Marks in Every Neighbourhood in a Point Pattern

pairwise.family

Pairwise Interaction Process Family

California Redwoods Point Pattern (Entire Dataset)

Reduced Sample Estimator using Histogram Data

Simulate Simple Sequential Inhibition

Summary of a Spatial Window

Define Point Process Model for Metropolis-Hastings Simulation.

Coefficients of Fitted Point Process Model

Dilate a Window

Pine saplings in Finland.

Read Point Pattern From Data File

Intersection or Union of Two Windows

Set or Reset the Marks in a Point Pattern

Aherne's hamster tumour data

Spruces Point Pattern

Apply Vector Translation

Test Whether An Object Is A Fitted Point Process Model

Longleaf Pines Point Pattern

Method of Minimum Contrast

Plot Function Valuesn

Interpret Fitted Model for Metropolis-Hastings Simulation.

Rotate a Point Pattern

Name for Unit of Length

Multitype J Function (i-to-any)

Inhomogeneous Cross K Function

Marked K-Function

Calculate four standard summary functions of a point pattern.

Distance to Boundary of Window

Extract Original Data from a Fitted Point Process Model

Midpoints of Line Segment Pattern

New Zealand Trees Point Pattern

Pair Correlation Function

Plot a List of Things

Prediction from a Fitted Point Process Model

Print Brief Details of a Line Segment Pattern Dataset

Simulate Neyman-Scott Process

Simulate Thomas Process

Generate N Uniform Random Points in a Disc

Simulated Point Pattern

Inhomogeneous K-function

Multitype K Function (Cross-type)

The Lennard-Jones Potential

Interactively Define a Polygon

Exponential Energy Marks

Distance Map of Window

multiplicity.ppp

Count Multiplicity of Duplicate Points

Generate Poisson Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Swedish Pines Point Pattern

Estimate the J-function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Apply Affine Transformation

Calculate Statistic for All Types in a Multitype Point Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Pairwise distances between two different point patterns

Biological Cells Point Pattern

Convert Point Pattern Marks from Numeric to Factor

Interactively Add Points

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Lengths of Line Segments

Lurking variable plot

Plot a List of Point Patterns

Simulate from a Fitted Point Process Model

Generate N Random Multitype Points

Rotate a Line Segment Pattern

subset.splitppp

Extract or Replace Sub-Patterns

Summary of a Point Pattern Dataset

The Spatstat Package

Pixel Image Approximation of a Window

spatstat-deprecated

Deprecated spatstat functions

Distance Map of Line Segment Pattern

Data Frames of Function Values

is.multitype.ppm

Test Whether A Point Process Model is Multitype

pairdist.default

Pairwise distances

Create a Window

Pairwise distances between line segments

Pairwise distances

Fit Point Process Model to Data

nearest.raster.point

Find Pixel Nearest to a Given Point

Cartesian Coordinates for a Pixel Raster

Extract Subset of Image

spatstat.options

Internal Options in Spatstat Package

Summary of a Line Segment Pattern Dataset