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spatstat (version 1.14-9)

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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Install

install.packages('spatstat')

Monthly Downloads

18,534

Version

1.14-9

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.14-9)

Geyer's Saturation Point Process Model

Generic Pairwise Interaction model

Simulate Neyman-Scott Process

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Print Brief Details of a Spatial Window

Generate N Uniform Random Points

Class of Quadrature Schemes

Convert Pixel Image from Numeric to Factor

Hybrid Geyer Point Process Model

Convert Data To Class owin

Multitype J Function (i-to-j)

The Area Interaction Point Process Model

Inhomogeneous Multitype K Dot Function

Marked Nearest Neighbour Distance Function

Distance to Boundary of Window

Multitype K Function (Cross-type)

Difference of Disc Areas

Generate a Default Pattern of Dummy Points

Orientation Angles of Line Segments

Pixel Image Approximation of a Window

Combine Two Line Segment Patterns

Reduced Second Moment Measure

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Test Whether Marks Are Present

Pairwise distances

Aherne's hamster tumour data

Intersection of Two Tessellations

Apply Affine Transformation To Point Pattern

Divide Region into Quadrats

Simulate systematic random point pattern

Area of a Window

Biological Cells Point Pattern

Estimate the I-function

Pairwise distances between two different point patterns

rescue.rectangle

Convert Window Back To Rectangle

K-function using FFT

Test Whether An Object Is A Window

Apply Affine Transformation To Window

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Multitype L-function (cross-type)

Apply Function to Every Neighbourhood in a Point Pattern

Plot a fitted cluster point process

Level Set of a Pixel Image

Areas of Morphological Erosions

Morishita Index Plot

Simulated Point Pattern

Convert Data To Class ppp

Hughes' Amacrine Cell Data

Test Whether Two Function Objects Are Compatible

Dirichlet Tessellation of Point Pattern

Longleaf Pines Point Pattern

Test Whether Two Pixel Images Are Compatible

Determine Whether One Window is Contained In Another

Marked K-Function

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Harkness-Isham ants' nests data

Saturated Pairwise Interaction model

Convert to Pixel Image

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

Extract Dummy Points Used to Fit a Point Process Model

Multitype J Function (i-to-any)

bounding.box.xy

Convex Hull of Points

Find Line Segment Nearest to Each Point

Set Control Parameters for Metropolis-Hastings Algorithm.

Function Arrays for Spatial Patterns

pppmatching.object

Class of Point Matchings

Interactively Add Points

spatstat-deprecated

Deprecated spatstat functions

Fit Point Process Model to Data

Murchison gold deposits

Plot a Function Array

Basis for Harmonic Functions

Test Whether An Object Is A Pixel Image

Corners of a rectangle

Pairwise distances between two different line segment patterns

The Lennard-Jones Potential

The Piecewise Constant Pairwise Interaction Point Process Model

Nearest Neighbour in Another Point Pattern

Convert Pixel Image to Another Unit of Length

Clark and Evans Aggregation Index

Create a Pixel Image Object

The Strauss / Hard Core Point Process Model

Contour plot of pixel image

Apply Function to Image Broken Down by Factor

Identify Points in a Point Pattern

Weighted Empirical Cumulative Distribution Function

Kernel Smoothed Intensity of Point Pattern

Exponential Energy Marks

Concatenate x,y Coordinate Vectors

Apply Vector Translation To Pixel Image

Convert Pixel Image to Matrix

Sample Quantiles of Pixel Image

complement.owin

Take Complement of a Window

Pairwise distances

Apply Gaussian Blur to a Pixel Image

Intersection or Union of Two Windows

Print Brief Details of an Image

Simulation envelopes of summary function

Set or Reset the Marks in a Point Pattern

Evaluate Expression Involving Functions

Diameter of a Window

Fry Plot of Point Pattern

spatstat-internal

Internal spatstat functions

Q-Q Plot of Residuals from Fitted Point Process Model

Random Perturbation of a Point Pattern

Estimate the empty space function F

Coefficients of Fitted Point Process Model

Profile Maximum Pseudolikelihood

Simulate from a Fitted Point Process Model

Poisson Point Process Model

Distance for a Point Pattern Matching

Distance Map of Point Pattern

Evaluate Expression Involving Pixel Images

Inhomogeneous Cross K Function

Residuals for Fitted Point Process Model

Kaplan-Meier and Reduced Sample Estimator using Histograms

Test Whether A Point Process Model is Marked

Test Whether An Object Is A Point Pattern

Simulate Matern Model I

multiplicity.ppp

Count Multiplicity of Duplicate Points

Convert Point Pattern to Pixel Image

The Strauss Point Process Model

Interpret Fitted Model for Metropolis-Hastings Simulation.

Saturated Pairwise Interaction Point Process Family

quadratresample

Resample a Point Pattern by Resampling Quadrats

Centroid of a window

Distance Map of Line Segment Pattern

Extract Original Data from a Fitted Point Process Model

Generate Poisson Random Line Process

Data Frames of Function Values

Generate Poisson Point Pattern

Cut margins from rectangle

Kaplan-Meier Estimator using Histogram Data

Print a Quadrature Scheme

Plot Function Valuesn

Extract Subset of Function Array

Print Brief Details of a Line Segment Pattern Dataset

Convert Window to Another Unit of Length

Extract Subset of Line Segment Pattern

Test Whether Points Are Inside A Window

California Redwoods Point Pattern (Entire Dataset)

Distance Map of Window

Chorley-Ribble Cancer Data

Nearest Neighbour Distance Function G

Create a Tessellation

Fit cluster point process model

Perfect Simulation of the Strauss Process

plot a Spatial Point Pattern

Rotate a Window

pairdist.default

Pairwise distances

Ord's Interaction model

Rectangular grid of points

Endpoints of Line Segment Pattern

Quadrat counting for a point pattern

Prediction from a Fitted Point Process Model

Spruces Point Pattern

Random Re-Labelling of Point Pattern

model.matrix.ppm

Extract Design Matrix from Point Process Model

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Variance-Covariance Matrix for a Fitted Point Process Model

Perspective Plot of Pixel Image

Distance Between Two Point Patterns

Berman-Huntington points and lines data

Summarizing a Pixel Image

Calculate four standard summary functions of a point pattern.

Class of Line Segment Patterns

pairwise.family

Pairwise Interaction Process Family

Interactively Define a Polygon

Generate N Random Points

Safely Convert Point Pattern Window to Binary Mask

Nearest-Neighbour Correlation of Marked Point Pattern

Hutchings' Bramble Canes data

spatstat.options

Internal Options in Spatstat Package

compatible.fasp

Test Whether Two Function Arrays Are Compatible

Generic Ord Interaction model

Evaluate an Expression in a Function Table

Tropical rain forest trees

Diggle-Gratton model

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Expand Window By Factor

Convert Data To Tessellation

Convert dataset to another unit of length

Classify Points in a Point Pattern

summary.splitppp

Summary of a Split Point Pattern

Class of Fitted Point Process Models

Bounding Box of a Window or Point Pattern

Neighbourhood density function

Simulate Stratified Random Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Pair Correlation Function obtained from array of K functions

Cartesian Coordinates for a Pixel Raster

Beadlet Anemones Data

Method of Minimum Contrast

crossdist.default

Pairwise distances between two different sets of points

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Extract Subset of Function Values

Class of Images

Summarise Marks in Every Neighbourhood in a Point Pattern

Fit the Thomas Point Process by Minimum Contrast

Simulate point patterns using the Metropolis-Hastings algorithm.

Apply Affine Transformation

Rotate a Point Pattern

Nearest neighbour

Pairwise distances between line segments

The Multitype Strauss Point Process Model

The Spatstat Package

Data and Code From JRSS Discussion Paper on Residuals

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

Extract Quadrature Scheme Used to Fit a Point Process Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Convert Data To Class psp

New Zealand Trees Point Pattern

Beta Ganglion Cells in Cat Retina

Mean, Median and Range of Pixel Values in an Image

Estimate the J-function

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Apply a Function to a Point Pattern Broken Down by Factor

Generate a Quadrature Scheme from a Point Pattern

Hyper Data Frame

Apply Vector Translation To Window

The Soft Core Point Process Model

Interpolate a Pixel Image

Divide Point Pattern into Sub-patterns

plot a Spatial Quadrature Scheme

Dilate a Window

Crossing Points of Two Line Segment Patterns

Morphological Opening of a Window

Lengths of Line Segments

Pair Correlation Function obtained from K Function

Convert Polygonal Region into Different Format

Compute Integral of Function Against Cumulative Distribution

Print Progress Reports

Randomly Shift a Line Segment Pattern

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Plot a List of Point Patterns

Randomly Shift a Point Pattern

Create a Line Segment Pattern

Apply Affine Transformation To Line Segment Pattern

Compute Images of Constructed Covariates

Test Whether An Object Is A Fitted Point Process Model

Circular Window

Create a Point Matching

Name for Unit of Length

Window in Shape of Letter R

Japanese Pines Point Pattern

Generate N Uniform Random Points in a Disc

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Extract Unique Points from a Spatial Point Pattern

Inhomogeneous K-function

Superimpose Several Point Patterns

Summary of a List of Things

Extract the Interaction from a Fitted Point Process Model

Pairwise distances

Swedish Pines Point Pattern

Spokes pattern of dummy points

Multitype K Function (i-to-any)

Artificial Data Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Diagnostic Plots for Fitted Point Process Model

inforder.family

Infinite Order Interaction Family

Print a Fitted Point Process Model

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

Humberside Data on Childhood Leukaemia and Lymphoma

Test whether Object is Multitype

Pair Correlation Function of Point Pattern

Prediction from a Fitted Cluster Point Process Model

Nearest neighbour distances between line segments

Midpoints of Line Segment Pattern

Superimpose Several Line Segment Patterns

Fit the Matern Cluster Point Process by Minimum Contrast

Plot a List of Things

Convex Hull of Points

ANOVA for Fitted Point Process Models

Vertices of a Window

Lansing Woods Point Pattern

Divide Image Into Sub-images

plot.hyperframe

Plot Entries in a Hyperframe

Urkiola Woods Point Pattern

Extract Subset of Image

Simulate Matern Cluster Process

Simulate Simple Sequential Inhibition

Plot a tessellation

Lurking variable plot

Distance to Boundary of Window

Evaluate Expression Involving Function Arrays

Log Likelihood for Poisson Point Process Model

Extract or Replace Subset of Tessellation

Generate Multitype Poisson Point Pattern

Rotate a Line Segment Pattern

Compute Quadrature Weights Based on Grid Counts

Determine Duplicated Points in a Spatial Point Pattern

Fitted Conditional Intensity for Point Process Model

Apply Vector Translation To Point Pattern

nearest.raster.point

Find Pixel Nearest to a Given Point

Nearest neighbour distances

Histogram of Pixel Values in an Image

Find Largest Circle Inside Window

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

Interaction Distance of a Point Process

Beta Ganglion Cells in Cat Retina, Old Version

Simulate Thomas Process

Mark Correlation Function

Estimate window from points alone

Marked J Function

Extract or Replace Subset of Point Pattern

Reduced Sample Estimator using Histogram Data

Apply Vector Translation To Line Segment Pattern

Spatial smoothing of observations at irregular points

Generate grid of parallel lines with random displacement

Summary of a Spatial Window

Define Point Process Model for Metropolis-Hastings Simulation.

Simulate a fitted cluster point process model.

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Extract or Replace Subset of a List of Things

Convert Line Segment Pattern to Another Unit of Length

Morphological Closing of a Window

plot a Spatial Line Segment Pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

plot a Fitted Point Process Model

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Summary of a Line Segment Pattern Dataset

Subset of Quadrature Scheme

Simulate Matern Model II

Plot a Pixel Image

Delaunay Triangulation of Point Pattern

Simulate Baddeley-Silverman Cell Process

Kolmogorov-Smirnov Test for Point Process Model

Pair Correlation Function

Quadrature Scheme Based on Pixel Grid

Summarizing a Fitted Point Process Model

Pine saplings in Finland.

Union of Data and Dummy Points

Generate N Random Multitype Points

Point Patterns of New Brunswick Forest Fires

Apply Vector Translation

subset.splitppp

Extract or Replace Sub-Patterns

project2segment

Move Point To Nearest Line

Simulate Gauss-Poisson Process

Reset Values in Subset of Image

Class of Point Patterns

Define Point Process Model for Metropolis-Hastings Simulation.

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Summarizing a Quadrature Scheme

California Redwoods Point Pattern (Ripley's Subset)

Read Point Pattern From Data File

Plot a plotppm Object Created by plot.ppm

Kernel Smoothing of Line Segment Pattern

Print Brief Details of a Point Pattern Dataset

Update a Fitted Cluster Point Process Model

Create a Window

Summary of a Point Pattern Dataset

Extract List of Tiles in a Tessellation

Ponderosa Pine Tree Point Pattern

Set Covariance of a Window

Random Thinning

Convert Point Pattern to Another Unit of Length

Sufficient Statistic of Point Process Model

Multitype L-function (i-to-any)

Create a Point Pattern

Plot a Spatial Window

Multitype pair correlation function

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

Ord Interaction Process Family

Test Whether A Point Pattern is Marked

Evaluate an Expression in Each Row of a Hyperframe

Update a Fitted Point Process Model