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spatstat (version 1.12-3)

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 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, 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

1.12-3

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.12-3)

Ord's Interaction model

Generic Pairwise Interaction model

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Test Whether An Object Is A Pixel Image

Class of Images

Marked Nearest Neighbour Distance Function

Ord Interaction Process Family

Apply Affine Transformation To Point Pattern

California Redwoods Point Pattern (Entire Dataset)

Print Progress Reports

K-function using FFT

Bounding Box of a Window or Point Pattern

Inhomogeneous K-function

Evaluate Expression Involving Functions

Extract Original Data from a Fitted Point Process Model

Pairwise distances

Saturated Pairwise Interaction model

Distance Map of Point Pattern

Diggle-Gratton model

Rotate a Point Pattern

Simulate systematic random point pattern

Union of Data and Dummy Points

The Multitype Strauss Point Process Model

Convert Data To Class owin

Harkness-Isham ants' nests data

Variance-Covariance Matrix for a Fitted Point Process Model

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

Estimate the empty space function F

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Pairwise distances

Multitype J Function (i-to-any)

Kaplan-Meier Estimator using Histogram Data

Pairwise distances between line segments

Interactively Add Points

Rectangular grid of points

Plot a List of Point Patterns

The Strauss / Hard Core Point Process Model

Pair Correlation Function of Point Pattern

Poisson Point Process Model

Plot a plotppm Object Created by plot.ppm

plot.hyperframe

Plot Entries in a Hyperframe

Print Brief Details of a Spatial Window

Nearest Neighbour Distance Function G

Convert Pixel Image to Matrix

Chorley-Ribble Cancer Data

Profile Maximum Pseudolikelihood

Dilate a Window

bounding.box.xy

Convex Hull of Points

Hutchings' Bramble Canes data

Concatenate x,y Coordinate Vectors

The Spatstat Package

Simulation envelopes of summary function

Endpoints of Line Segment Pattern

Distance Map of Window

Distance Map of Line Segment Pattern

ANOVA for Fitted Point Process Models

The Piecewise Constant Pairwise Interaction Point Process Model

Distance to Boundary of Window

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Clark and Evans Aggregation Index

Calculate four standard summary functions of a point pattern.

Pairwise distances between two different line segment patterns

Pixel Image Approximation of a Window

crossdist.default

Pairwise distances between two different sets of points

Class of Line Segment Patterns

Class of Quadrature Schemes

Convert to Pixel Image

plot a Spatial Line Segment Pattern

Convert dataset to another unit of length

Fit Point Process Model to Data

Beadlet Anemones Data

Simulate Thomas Process

Hyper Data Frame

spatstat-deprecated

Deprecated spatstat functions

Random Re-Labelling of Point Pattern

Japanese Pines Point Pattern

Generate Poisson Point Pattern

Geyer's Saturation Point Process Model

Apply Function to Every Neighbourhood in a Point Pattern

Set Covariance of a Window

Ponderosa Pine Tree Point Pattern

Marked K-Function

Histogram of Pixel Values in an Image

Inhomogeneous Multitype K Dot Function

The Soft Core Point Process Model

Spokes pattern of dummy points

Create a Line Segment Pattern

Cartesian Coordinates for a Pixel Raster

Test Whether Points Are Inside A Window

Coefficients of Fitted Point Process Model

Extract the Interaction from a Fitted Point Process Model

Mark Correlation Function

Print a Fitted Point Process Model

Identify Points in a Point Pattern

Print Brief Details of an Image

multiplicity.ppp

Count Multiplicity of Duplicate Points

Generate grid of parallel lines with random displacement

Simulate Neyman-Scott Process

Kolmogorov-Smirnov Test for Point Process Model

Residuals for Fitted Point Process Model

Intersection or Union of Two Windows

Perfect Simulation of the Strauss Process

nearest.raster.point

Find Pixel Nearest to a Given Point

Simulated Point Pattern

Convert Line Segment Pattern to Another Unit of Length

Estimate the I-function

Create a Window

Calculate Statistic for All Types in a Multitype Point Pattern

Summary of a Point Pattern Dataset

Convex Hull of Points

Diameter of a Window

Combine Two Line Segment Patterns

Test Whether Marks Are Present

Nearest neighbour

Generic Ord Interaction model

Beta Ganglion Cells in Cat Retina

Pair Correlation Function obtained from K Function

Pairwise distances between two different point patterns

Apply Affine Transformation To Window

pppmatching.object

Class of Point Matchings

Hughes' Amacrine Cell Data

Interactively Define a Polygon

Apply Vector Translation

Lurking variable plot

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Kernel Smoothed Intensity of Point Pattern

Class of Point Patterns

Plot a List of Things

Centroid of a window

Evaluate an Expression in Each Row of a Hyperframe

Q-Q Plot of Residuals from Fitted Point Process Model

Print Brief Details of a Line Segment Pattern Dataset

Spatial smoothing of observations at irregular points

Cut margins from rectangle

Vertices of a Window

Define Point Process Model for Metropolis-Hastings Simulation.

Test Whether An Object Is A Point Pattern

Simulate Simple Sequential Inhibition

Generate Multitype Poisson Point Pattern

Generate a Default Pattern of Dummy Points

Safely Convert Point Pattern Window to Binary Mask

Simulate from a Fitted Point Process Model

Extract or Replace Subset of Point Pattern

Create a Point Pattern

Nearest neighbour distances between line segments

Superimpose Several Point Patterns

rescue.rectangle

Convert Window Back To Rectangle

Determine Initial State for Metropolis-Hastings Simulation.

Summarizing a Fitted Point Process Model

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

Aherne's hamster tumour data

Define Point Process Model for Metropolis-Hastings Simulation.

Remove Marks from a Marked Point Pattern

plot a Spatial Quadrature Scheme

Humberside Data on Childhood Leukaemia and Lymphoma

Nearest Neighbour in Another Point Pattern

The Strauss Point Process Model

Pair Correlation Function obtained from array of K functions

Extract Quadrature Scheme Used to Fit a Point Process Model

Create a Pixel Image Object

Reduced Sample Estimator using Histogram Data

Inhomogeneous Cross K Function

Determine Duplicated Points in a Spatial Point Pattern

Determine Whether One Window is Contained In Another

Level Set of a Pixel Image

Basis for Harmonic Functions

Extract Subset of Image

Generate N Uniform Random Points

Simulate Stratified Random Point Pattern

Reset Values in Subset of Image

Convert Point Pattern to Another Unit of Length

Data and Code From JRSS Discussion Paper on Residuals

Midpoints of Line Segment Pattern

Apply Vector Translation To Window

Test Whether Two Pixel Images Are Compatible

Convert Data To Class psp

Convert Data To Class ppp

Point Patterns of New Brunswick Forest Fires

Method of Minimum Contrast

Kaplan-Meier and Reduced Sample Estimator using Histograms

rshift.splitppp

Randomly Shift a List of Point Patterns

Apply Vector Translation To Line Segment Pattern

Circular Window

The Lennard-Jones Potential

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Perspective Plot of Pixel Image

Area of a Window

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Extract Subset of Function Values

Extract or Replace Subset of a List of Things

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Distance for a Point Pattern Matching

Contour plot of pixel image

Apply Affine Transformation

Test Whether Two Function Objects Are Compatible

Evaluate Expression Involving Pixel Images

Summarizing a Pixel Image

Randomly Shift a Point Pattern

Convert Point Pattern Marks from Numeric to Factor

Generate N Uniform Random Points in a Disc

Log Likelihood for Poisson Point Process Model

Fitted Conditional Intensity for Point Process Model

Extract Subset of Line Segment Pattern

Summarizing a Quadrature Scheme

Areas of Morphological Erosions

Summarise Marks in Every Neighbourhood in a Point Pattern

Saturated Pairwise Interaction Point Process Family

Extract Dummy Points Used to Fit a Point Process Model

Nearest-Neighbour Correlation of Marked Point Pattern

Multitype K Function (i-to-any)

Plot a Pixel Image

Berman-Huntington points and lines data

Fit the Matern Cluster Point Process by Minimum Contrast

Pair Correlation Function

Artificial Data Point Pattern

plot a Fitted Point Process Model

Window in Shape of Letter R

plot a Spatial Point Pattern

Plot a Spatial Window

Test Whether A Point Pattern is Marked

Interpolate a Pixel Image

Distance Between Two Point Patterns

Pairwise distances

Weighted Empirical Cumulative Distribution Function

Class of Fitted Point Process Models

Plot Function Valuesn

Interpret Fitted Model for Metropolis-Hastings Simulation.

Quadrat counting for a point pattern

Set Control Parameters for Metropolis-Hastings Algorithm.

Neighbourhood density function

Convert Window to Another Unit of Length

Test Whether An Object Is A Window

Biological Cells Point Pattern

Interaction Distance of a Point Process

Convert Pixel Image from Numeric to Factor

Random Thinning

Kernel Smoothing of Line Segment Pattern

Generate N Random Points

Apply Vector Translation To Pixel Image

Randomly Shift a Line Segment Pattern

Fit the Thomas Point Process by Minimum Contrast

Update a Fitted Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Estimate window from points alone

Nearest neighbour distances

Set or Reset the Marks in a Point Pattern

Read Point Pattern From Data File

Summary of a List of Things

Function Arrays for Spatial Patterns

Sufficient Statistic of Point Process Model

summary.splitppp

Summary of a Split Point Pattern

Prediction from a Fitted Point Process Model

Extract Unique Points from a Spatial Point Pattern

Data Frames of Function Values

Simulate Matern Model I

Spruces Point Pattern

Rotate a Line Segment Pattern

Rotate a Window

complement.owin

Take Complement of a Window

Corners of a rectangle

Plot a Function Array

Create a Point Matching

Crossing Points of Two Line Segment Patterns

Test Whether A Point Process Model is Marked

Divide Point Pattern into Sub-patterns

Longleaf Pines Point Pattern

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Simulate Baddeley-Silverman Cell Process

Apply Vector Translation To Point Pattern

subset.splitppp

Extract or Replace Sub-Patterns

Simulate point patterns using the Metropolis-Hastings algorithm.

Distance to Boundary of Window

Reduced Second Moment Measure

Pine saplings in Finland.

Mean Pixel Value in an Image

pairwise.family

Pairwise Interaction Process Family

Print a Quadrature Scheme

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

California Redwoods Point Pattern (Ripley's Subset)

Generate a Quadrature Scheme from a Point Pattern

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

Multitype K Function (Cross-type)

Orientation Angles of Line Segments

Beta Ganglion Cells in Cat Retina, Old Version

Apply Affine Transformation To Line Segment Pattern

Compute Quadrature Weights Based on Grid Counts

spatstat-internal

Internal spatstat functions

Exponential Energy Marks

Test whether Object is Multitype

Expand Window By Factor

Test Whether An Object Is A Fitted Point Process Model

Lansing Woods Point Pattern

pairdist.default

Pairwise distances

Print Brief Details of a Point Pattern Dataset

Sample Quantiles of Pixel Image

Generate N Random Multitype Points

spatstat.options

Internal Options in Spatstat Package

Summary of a Spatial Window

Name for Unit of Length

Summary of a Line Segment Pattern Dataset

Estimate the J-function

Marked J Function

Multitype J Function (i-to-j)

Tropical rain forest trees

Diagnostic Plots for Fitted Point Process Model

Lengths of Line Segments

New Zealand Trees Point Pattern

Simulate Matern Cluster Process

Simulate Matern Model II

Generate Poisson Random Line Process

Extract Subset of Function Array

Swedish Pines Point Pattern