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spatstat (version 1.15-0)

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

16,590

Version

1.15-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.15-0)

Expand Window By Factor

Lansing Woods Point Pattern

Diameter of a Window

Murchison gold deposits

Simulate Thomas Process

Convert Pixel Image from Numeric to Factor

plot.hyperframe

Plot Entries in a Hyperframe

Function Arrays for Spatial Patterns

Plot a Colour Map

Log Likelihood for Poisson Point Process Model

Method of Minimum Contrast

Intersection or Union of Two Windows

Plot a Spatial Window

Quadrature Scheme Based on Pixel Grid

Circular Window

Define Point Process Model for Metropolis-Hastings Simulation.

Summary of a Line Segment Pattern Dataset

Simulate Matern Model II

Extract Unique Points from a Spatial Point Pattern

Superimpose Several Point Patterns

Simulate point patterns using the Metropolis-Hastings algorithm.

Print Brief Details of a Spatial Window

Union of Data and Dummy Points

Convert Point Pattern to Another Unit of Length

Generic Ord Interaction model

California Redwoods Point Pattern (Ripley's Subset)

Rotate a Point Pattern

Spokes pattern of dummy points

Test Whether A Point Process Model is Marked

Perfect Simulation of the Strauss Process

Data and Code From JRSS Discussion Paper on Residuals

Identify Points in a Point Pattern

Create a Window

spatstat.options

Internal Options in Spatstat Package

Simulate Gauss-Poisson Process

Longleaf Pines Point Pattern

Rotate a Line Segment Pattern

Multitype pair correlation function

Concatenate x,y Coordinate Vectors

Generate a Default Pattern of Dummy Points

Mark Correlation Function

plot a Fitted Point Process Model

spatstat-deprecated

Deprecated spatstat functions

quadratresample

Resample a Point Pattern by Resampling Quadrats

Lengths of Line Segments

Corners of a rectangle

Create a Point Pattern

pairdist.default

Pairwise distances

project2segment

Move Point To Nearest Line

plot a Spatial Quadrature Scheme

nearest.raster.point

Find Pixel Nearest to a Given Point

Prediction from a Fitted Cluster Point Process Model

Spruces Point Pattern

Compute Quadrature Weights Based on Grid Counts

Reset Values in Subset of Image

plot a Spatial Line Segment Pattern

Dirichlet Tessellation of Point Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

rshift.splitppp

Randomly Shift a List of Point Patterns

Pair Correlation Function obtained from array of K functions

New Zealand Trees Point Pattern

Diagnostic Plots for Fitted Point Process Model

Summarizing a Quadrature Scheme

Evaluate Expression Involving Function Arrays

crossdist.default

Pairwise distances between two different sets of points

Randomly Shift a Line Segment Pattern

Estimate the J-function

Test Whether An Object Is A Window

Fit the Matern Cluster Point Process by Minimum Contrast

Q-Q Plot of Residuals from Fitted Point Process Model

Berman-Huntington points and lines data

Intersection of Two Tessellations

Pairwise distances

Evaluate Expression Involving Pixel Images

inforder.family

Infinite Order Interaction Family

Random Perturbation of a Point Pattern

Classify Points in a Point Pattern

Find Largest Circle Inside Window

Test Whether An Object Is A Point Pattern

Generic Pairwise Interaction model

Sufficient Statistic of Point Process Model

Weighted Empirical Cumulative Distribution Function

Convert Polygonal Region into Different Format

Class of Point Patterns

pppmatching.object

Class of Point Matchings

Humberside Data on Childhood Leukaemia and Lymphoma

Aherne's hamster tumour data

Nearest Neighbour in Another Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Kernel Smoothed Intensity of Point Pattern

Apply Vector Translation To Line Segment Pattern

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

Fit Point Process Model to Data

Summary of a Spatial Window

Generate N Random Points

Compute Fitted Effect of a Spatial Covariate in a Point Process Model

Artificial Data Point Pattern

Create a Tessellation

Simulate Baddeley-Silverman Cell Process

Fitted Conditional Intensity for Point Process Model

Morishita Index Plot

Hyper Data Frame

Simulated Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Plot a Pixel Image

Basis for Harmonic Functions

Plot a Function Array

Sample Quantiles of Pixel Image

Convert Point Pattern to Pixel Image

Distance Between Two Point Patterns

Window in Shape of Letter R

Neighbourhood density function

Convert dataset to another unit of length

Nearest-Neighbour Correlation of Marked Point Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Convex Hull of Points

Generate Multitype Poisson Point Pattern

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Test Whether Points Are Inside A Window

Ord Interaction Process Family

Extract Dummy Points Used to Fit a Point Process Model

Generate a Quadrature Scheme from a Point Pattern

Summarizing a Fitted Point Process Model

Generate Poisson Point Pattern

Kolmogorov-Smirnov Test for Point Process Model

Contour plot of pixel image

Plot a fitted cluster point process

Quadrat counting for a point pattern

Crossing Points of Two Line Segment Patterns

Histogram of Pixel Values in an Image

Name for Unit of Length

Plot a List of Point Patterns

Simulate Simple Sequential Inhibition

Fit cluster point process model

Summary of a List of Things

Print Progress Reports

Convert Pixel Image to Another Unit of Length

Simulate from a Fitted Point Process Model

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

Generate Poisson Random Line Process

Dilate a Window

Extract Subset of Line Segment Pattern

Pairwise distances

Reduced Sample Estimator using Histogram Data

Extract Subset of Function Values

Pairwise distances between two different point patterns

Plot a List of Things

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Compute Integral of Function Against Cumulative Distribution

Kernel Smoothing of Line Segment Pattern

Vertices of a Window

Interpret Fitted Model for Metropolis-Hastings Simulation.

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Fit the Thomas Point Process by Minimum Contrast

Extract or Replace Subset of Point Pattern

Summary of a Point Pattern Dataset

Determine Initial State for Metropolis-Hastings Simulation.

subset.splitppp

Extract or Replace Sub-Patterns

Simulate systematic random point pattern

Extract Subset of Function Array

Print Brief Details of a Point Pattern Dataset

Create a Pixel Image Object

Apply Affine Transformation To Point Pattern

Compute Images of Constructed Covariates

Print Brief Details of a Line Segment Pattern Dataset

Simulate Stratified Random Point Pattern

Apply Vector Translation To Point Pattern

Update a Fitted Cluster Point Process Model

Extract List of Tiles in a Tessellation

complement.owin

Take Complement of a Window

Ponderosa Pine Tree Point Pattern

Spatial smoothing of observations at irregular points

Apply Vector Translation

Pine saplings in Finland.

plot a Spatial Point Pattern

Update a Fitted Point Process Model

Apply Vector Translation To Window

Kaplan-Meier Estimator using Histogram Data

Pair Correlation Function obtained from K Function

Saturated Pairwise Interaction Point Process Family

pairwise.family

Pairwise Interaction Process Family

Swedish Pines Point Pattern

spatstat-internal

Internal spatstat functions

multiplicity.ppp

Count Multiplicity of Duplicate Points

California Redwoods Point Pattern (Entire Dataset)

Create a Line Segment Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Nearest neighbour distances

Extract the Interaction from a Fitted Point Process Model

Morphological Opening of a Window

Superimpose Several Line Segment Patterns

Inhomogeneous Cross K Function

Simulation envelopes of summary function

The Strauss Point Process Model

Divide Image Into Sub-images

Determine Duplicated Points in a Spatial Point Pattern

Set Covariance of a Window

Test Whether Two Function Objects Are Compatible

Point Patterns of New Brunswick Forest Fires

Extract Subset of Image

Test Whether Two Pixel Images Are Compatible

Extract Original Data from a Fitted Point Process Model

Japanese Pines Point Pattern

model.matrix.ppm

Extract Design Matrix from Point Process Model

Midpoints of Line Segment Pattern

Generate N Random Multitype Points

Estimate the I-function

Simulate a fitted cluster point process model.

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Convert to Pixel Image

Distance to Boundary of Window

Class of Quadrature Schemes

Determine Whether One Window is Contained In Another

Print Brief Details of an Image

Simulate Matern Model I

Subset of Quadrature Scheme

Interaction Distance of a Point Process

Hughes' Amacrine Cell Data

Bounding Box of a Window or Point Pattern

Endpoints of Line Segment Pattern

The Soft Core Point Process Model

Plot a plotppm Object Created by plot.ppm

Print a Quadrature Scheme

Class of Fitted Point Process Models

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Clark and Evans Aggregation Index

Area of a Window

Random Thinning

Estimate window from points alone

Divide Point Pattern into Sub-patterns

Pair Correlation Function of Point Pattern

Test whether Object is Multitype

The Multitype Strauss Point Process Model

Pairwise distances

summary.splitppp

Summary of a Split Point Pattern

Pair Correlation Function

Read Point Pattern From Data File

Interactively Define a Polygon

Exponential Energy Marks

Combine Two Line Segment Patterns

Distance for a Point Pattern Matching

Marked Nearest Neighbour Distance Function

Apply Affine Transformation

Cut margins from rectangle

Nearest neighbour distances between line segments

Lurking variable plot

Create a Point Matching

Randomly Shift a Point Pattern

Beadlet Anemones Data

Multitype K Function (Cross-type)

Multitype L-function (cross-type)

Prediction from a Fitted Point Process Model

Pixel Image Approximation of a Window

Harkness-Isham ants' nests data

Profile Maximum Pseudolikelihood

Test Whether Marks Are Present

Cartesian Coordinates for a Pixel Raster

Simulate Neyman-Scott Process

Reduced Second Moment Measure

Distance Map of Point Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Find Line Segment Nearest to Each Point

Variance-Covariance Matrix for a Fitted Point Process Model

Generate N Uniform Random Points

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Poisson Point Process Model

Rectangular grid of points

The Spatstat Package

Evaluate Expression Involving Functions

Multitype K Function (i-to-any)

Class of Line Segment Patterns

The Lennard-Jones Potential

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Place Points Evenly Along Specified Lines

Test Whether An Object Is A Fitted Point Process Model

Generate grid of parallel lines with random displacement

bounding.box.xy

Convex Hull of Points

Apply a Function to a Point Pattern Broken Down by Factor

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

Difference of Disc Areas

Convert Data To Tessellation

Biological Cells Point Pattern

Distance Map of Line Segment Pattern

Beta Ganglion Cells in Cat Retina

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Convert Line Segment Pattern to Another Unit of Length

Pairwise distances between two different line segment patterns

Generate N Uniform Random Points in a Disc

Nearest Neighbour Distance Function G

Pairwise distances between line segments

selfcrossing.psp

Crossing Points in a Line Segment Pattern

rescue.rectangle

Convert Window Back To Rectangle

Summarizing a Pixel Image

Morphological Closing of a Window

Test Whether A Point Pattern is Marked

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Residuals for Fitted Point Process Model

Generate Poisson Point Pattern on Line Segments

Evaluate an Expression in Each Row of a Hyperframe

Convert Data To Class ppp

Colour Lookup Tables

Urkiola Woods Point Pattern

Print a Fitted Point Process Model

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Level Set of a Pixel Image

Plot a tessellation

Mean, Median and Range of Pixel Values in an Image

Simulate Matern Cluster Process

Kaplan-Meier and Reduced Sample Estimator using Histograms

Calculate four standard summary functions of a point pattern.

Beta Ganglion Cells in Cat Retina, Old Version

Delaunay Triangulation of Point Pattern

Nearest neighbour

Evaluate an Expression in a Function Table

Multitype L-function (i-to-any)

Interactively Add Points

Random Re-Labelling of Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Plot Function Valuesn

Chorley-Ribble Cancer Data

Marked J Function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

The Strauss / Hard Core Point Process Model

Apply Affine Transformation To Window

Inhomogeneous Multitype K Dot Function

Marked K-Function

Apply Affine Transformation To Line Segment Pattern

The Area Interaction Point Process Model

Convert Data To Class owin

Rotate a Window

Geyer's Saturation Point Process Model

Apply Function to Every Neighbourhood in a Point Pattern

ANOVA for Fitted Point Process Models

Extract or Replace Subset of a List of Things

Ord's Interaction model

Saturated Pairwise Interaction model

Calculate Summary Statistic for All Types in a Multitype Point Pattern

K-function using FFT

Coefficients of Fitted Point Process Model

Multitype J Function (i-to-j)

Set or Reset the Marks in a Point Pattern

Diggle-Gratton model

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Convert Pixel Image to Matrix

Interpolate a Pixel Image

Multitype J Function (i-to-any)

Distance Map of Window

Apply Vector Translation To Pixel Image

Orientation Angles of Line Segments

Test Whether An Object Is A Pixel Image

Areas of Morphological Erosions

compatible.fasp

Test Whether Two Function Arrays Are Compatible

Fry Plot of Point Pattern

Perspective Plot of Pixel Image

Hybrid Geyer Point Process Model

Hutchings' Bramble Canes data

Tropical rain forest trees

Distance to Boundary of Window

Estimate the empty space function F

Apply Gaussian Blur to a Pixel Image

Inhomogeneous K-function

Convert Window to Another Unit of Length

Class of Images

Set Control Parameters for Metropolis-Hastings Algorithm.

Convert Data To Class psp

Divide Region into Quadrats

Apply Function to Image Broken Down by Factor

Extract or Replace Subset of Tessellation

Centroid of a window

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

The Piecewise Constant Pairwise Interaction Point Process Model

Data Frames of Function Values