Learn R Programming

⚠️There's a newer version (3.3-1) of this package.Take me there.

spatstat (version 1.11-2)

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. 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).

Copy Link

Version

Install

install.packages('spatstat')

Monthly Downloads

16,015

Version

1.11-2

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.11-2)

Sufficient Statistic of Point Process Model

Convert Point Pattern to Another Unit of Length

Simulate Baddeley-Silverman Cell Process

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

The Multitype Strauss Point Process Model

The Piecewise Constant Pairwise Interaction Point Process Model

Create a Pixel Image Object

Kaplan-Meier and Reduced Sample Estimator using Histograms

The Spatstat Package

Simulate Neyman-Scott Process

multiplicity.ppp

Count Multiplicity of Duplicate Points

Marked J Function

Lengths of Line Segments

Interaction Distance of a Point Process

Nearest Neighbour in Another Point Pattern

Japanese Pines Point Pattern

Endpoints of Line Segment Pattern

Test Whether An Object Is A Point Pattern

Test Whether Two Pixel Images Are Compatible

Rectangular grid of points

Diameter of a Window

Harkness-Isham ants' nests data

Determine Duplicated Points in a Spatial Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Compute Quadrature Weights Based on Grid Counts

Generic Pairwise Interaction model

Class of Images

Exponential Energy Marks

Interactively Add Points

Test Whether An Object Is A Window

Test Whether An Object Is A Pixel Image

complement.owin

Take Complement of a Window

Plot a Pixel Image

Bounding Box of a Window or Point Pattern

Determine Whether One Window is Contained In Another

Pixel Image Approximation of a Window

Convert Window to Another Unit of Length

Superimpose Several Point Patterns

Profile Maximum Pseudolikelihood

Quadrat counting for a point pattern

Ord Interaction Process Family

Marked K-Function

Multitype J Function (i-to-j)

Level Set of a Pixel Image

Convert Data To Class psp

Centroid of a window

Berman-Huntington points and lines data

Print Brief Details of a Line Segment Pattern Dataset

crossdist.default

Pairwise distances between two different sets of points

spatstat-internal

Internal spatstat functions

Estimate the J-function

Divide Point Pattern into Sub-patterns

Saturated Pairwise Interaction model

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

plot a Spatial Point Pattern

Apply Affine Transformation

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

Random Thinning

Areas of Morphological Erosions

Apply Vector Translation To Pixel Image

Pairwise distances

Print Brief Details of a Point Pattern Dataset

The Strauss Point Process Model

Simulate from a Fitted Point Process Model

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Print Brief Details of an Image

ANOVA for Fitted Point Process Models

Lansing Woods Point Pattern

Extract Subset of Line Segment Pattern

Humberside Data on Childhood Leukaemia and Lymphoma

Simulate point patterns using the Metropolis-Hastings algorithm.

Distance Map of Point Pattern

Summary of a Line Segment Pattern Dataset

Rotate a Line Segment Pattern

Kernel Smoothing of Line Segment Pattern

Data Frames of Function Values

Convert Data To Class ppp

Aherne's hamster tumour data

Convex Hull of Points

Class of Point Patterns

Distance Map of Window

New Zealand Trees Point Pattern

Beadlet Anemones Data

California Redwoods Point Pattern (Ripley's Subset)

Point Patterns of New Brunswick Forest Fires

Generate Poisson Random Line Process

Coefficients of Fitted Point Process Model

Mean Pixel Value in an Image

Estimate window from points alone

Interactively Define a Polygon

Combine Two Line Segment Patterns

Summary of a Point Pattern Dataset

Randomly Shift a Line Segment Pattern

plot a Spatial Line Segment Pattern

Longleaf Pines Point Pattern

summary.splitppp

Summary of a Split Point Pattern

Optimal Match Between Two Point Patterns

Set or Reset the Marks in a Point Pattern

Simulated Point Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Simulate Matern Model I

Cut margins from rectangle

Distance Map of Line Segment Pattern

Midpoints of Line Segment Pattern

Class of Line Segment Patterns

Spokes pattern of dummy points

Class of Fitted Point Process Models

Convert dataset to another unit of length

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

Create a Line Segment Pattern

Multitype K Function (Cross-type)

Multitype J Function (i-to-any)

Nearest Neighbour Distance Function G

K-function using FFT

Convert Data To Class owin

Biological Cells Point Pattern

Print a Quadrature Scheme

Apply Vector Translation To Window

Extract Subset of Function Values

Evaluate Expression Involving Functions

Convert to Pixel Image

Generate N Random Points

Pair Correlation Function of Point Pattern

Diggle-Gratton model

Summarizing a Quadrature Scheme

The Soft Core Point Process Model

Area of a Window

Read Point Pattern From Data File

Cartesian Coordinates for a Pixel Raster

Convert Point Pattern Marks from Numeric to Factor

Concatenate x,y Coordinate Vectors

Pairwise distances between two different line segment patterns

Nearest-Neighbour Correlation of Marked Point Pattern

Window in Shape of Letter R

Convert Pixel Image to Matrix

Chorley-Ribble Cancer Data

Function Arrays for Spatial Patterns

Histogram of Pixel Values in an Image

Test Whether Points Are Inside A Window

Reduced Second Moment Measure

Hughes' Amacrine Cell Data

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Test Whether Two Function Objects Are Compatible

Test whether Object is Multitype

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Plot a List of Point Patterns

Fit the Thomas Point Process by Minimum Contrast

Apply Vector Translation

Test Whether A Point Pattern is Marked

Fit Point Process Model to Data

Plot a List of Things

pairdist.default

Pairwise distances

nearest.raster.point

Find Pixel Nearest to a Given Point

Test Whether An Object Is A Fitted Point Process Model

Print a Fitted Point Process Model

Print Progress Reports

Contour plot of pixel image

Apply Affine Transformation To Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Update a Fitted Point Process Model

Generate N Uniform Random Points in a Disc

Generate Poisson Point Pattern

Set Covariance of a Window

Calculate Statistic for All Types in a Multitype Point Pattern

Pair Correlation Function obtained from K Function

Apply Vector Translation To Point Pattern

Set Control Parameters for Metropolis-Hastings Algorithm.

Rotate a Window

Create a Window

Convert Line Segment Pattern to Another Unit of Length

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Pairwise distances between line segments

Weighted Empirical Cumulative Distribution Function

Plot a plotppm Object Created by plot.ppm

Summarizing a Pixel Image

Estimate the empty space function F

Generate N Random Multitype Points

Plot a Spatial Window

Ord's Interaction model

Generate a Default Pattern of Dummy Points

Summary of a Spatial Window

Spruces Point Pattern

Residuals for Fitted Point Process Model

Apply Affine Transformation To Line Segment Pattern

California Redwoods Point Pattern (Entire Dataset)

Extract Unique Points from a Spatial Point Pattern

Tropical rain forest trees

Apply Vector Translation To Line Segment Pattern

Rotate a Point Pattern

Saturated Pairwise Interaction Point Process Family

Data and Code From JRSS Discussion Paper on Residuals

Hutchings' Bramble Canes data

Basis for Harmonic Functions

rshift.splitppp

Randomly Shift a List of Point Patterns

Simulate Simple Sequential Inhibition

Artificial Data Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

subset.splitppp

Extract or Replace Sub-Patterns

The Lennard-Jones Potential

Remove Marks from a Marked Point Pattern

Expand Window By Factor

Define Point Process Model for Metropolis-Hastings Simulation.

Perspective Plot of Pixel Image

spatstat.options

Internal Options in Spatstat Package

Pairwise distances between two different point patterns

Evaluate Expression Involving Pixel Images

Lurking variable plot

Method of Minimum Contrast

Circular Window

Convert Pixel Image from Numeric to Factor

plot a Spatial Quadrature Scheme

bounding.box.xy

Convex Hull of Points

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Distance to Boundary of Window

Pine saplings in Finland.

Intersection or Union of Two Windows

Print Brief Details of a Spatial Window

Random Re-Labelling of Point Pattern

Swedish Pines Point Pattern

rescue.rectangle

Convert Window Back To Rectangle

Class of Quadrature Schemes

Reset Values in Subset of Image

Extract Original Data from a Fitted Point Process Model

Calculate four standard summary functions of a point pattern.

Marked Nearest Neighbour Distance Function

Estimate the I-function

Distance to Boundary of Window

Fitted Conditional Intensity for Point Process Model

Beta Ganglion Cells in Cat Retina, Old Version

Test Whether Marks Are Present

Simulation envelopes of summary function

Identify Points in a Point Pattern

Sample Quantiles of Pixel Image

spatstat-deprecated

Deprecated spatstat functions

Multitype K Function (i-to-any)

Mark Correlation Function

Create a Point Pattern

pairwise.family

Pairwise Interaction Process Family

Extract Quadrature Scheme Used to Fit a Point Process Model

Generate a Quadrature Scheme from a Point Pattern

Test Whether A Point Process Model is Marked

Randomly Shift a Point Pattern

Summarizing a Fitted Point Process Model

Apply Affine Transformation To Window

Corners of a rectangle

Kaplan-Meier Estimator using Histogram Data

Kolmogorov-Smirnov Test for Point Process Model

Nearest neighbour distances

Geyer's Saturation Point Process Model

Nearest neighbour

Diagnostic Plots for Fitted Point Process Model

Pair Correlation Function obtained from array of K functions

Extract Subset of Function Array

Summary of a List of Things

Inhomogeneous Cross K Function

The Strauss / Hard Core Point Process Model

Inhomogeneous K-function

Crossing Points of Two Line Segment Patterns

Apply Function to Every Neighbourhood in a Point Pattern

Plot Function Valuesn

Perfect Simulation of the Strauss Process

Generate N Uniform Random Points

Generate Multitype Poisson Point Pattern

Reduced Sample Estimator using Histogram Data

plot a Fitted Point Process Model

Simulate Matern Cluster Process

Inhomogeneous Multitype K Dot Function

Simulate Thomas Process

Beta Ganglion Cells in Cat Retina

Poisson Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Prediction from a Fitted Point Process Model

Pairwise distances

Pair Correlation Function

Simulate systematic random point pattern

Plot a Function Array

Extract Subset of Image

Simulate Stratified Random Point Pattern

Vertices of a Window

Simulate Matern Model II

Dilate a Window

Extract or Replace Subset of Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Orientation Angles of Line Segments

Kernel Smoothed Intensity of Point Pattern

Pairwise distances

Q-Q Plot of Residuals from Fitted Point Process Model

Generic Ord Interaction model

Fit the Matern Cluster Point Process by Minimum Contrast

Union of Data and Dummy Points

Name for Unit of Length

Extract or Replace Subset of a List of Things