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spatstat (version 1.14-4)

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

1.14-4

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.14-4)

The Area Interaction Point Process Model

Pixel Image Approximation of a Window

Distance for a Point Pattern Matching

Chorley-Ribble Cancer Data

Create a Point Pattern

Plot a fitted cluster point process

Ord's Interaction model

Evaluate an Expression in Each Row of a Hyperframe

Murchison gold deposits

Saturated Pairwise Interaction model

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Difference of Disc Areas

Nearest Neighbour Distance Function G

Sample Quantiles of Pixel Image

Simulate Matern Cluster Process

Inhomogeneous K-function

Prediction from a Fitted Point Process Model

Test Whether Two Function Objects Are Compatible

Artificial Data Point Pattern

Perspective Plot of Pixel Image

Berman-Huntington points and lines data

pairwise.family

Pairwise Interaction Process Family

Determine Initial State for Metropolis-Hastings Simulation.

Convert Pixel Image to Another Unit of Length

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Distance Map of Line Segment Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Reduced Second Moment Measure

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

Class of Line Segment Patterns

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Kaplan-Meier and Reduced Sample Estimator using Histograms

Kernel Smoothed Intensity of Point Pattern

Lengths of Line Segments

Kernel Smoothing of Line Segment Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Estimate the J-function

Apply Affine Transformation

Apply a Function to a Point Pattern Broken Down by Factor

Convert to Pixel Image

Poisson Point Process Model

The Strauss / Hard Core Point Process Model

Interactively Define a Polygon

Convert Pixel Image from Numeric to Factor

Tropical rain forest trees

Marked K-Function

multiplicity.ppp

Count Multiplicity of Duplicate Points

ANOVA for Fitted Point Process Models

Evaluate an Expression in a Function Table

Window in Shape of Letter R

Random Re-Labelling of Point Pattern

The Soft Core Point Process Model

Point Patterns of New Brunswick Forest Fires

Calculate four standard summary functions of a point pattern.

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Apply Affine Transformation To Point Pattern

Harkness-Isham ants' nests data

Print Brief Details of an Image

Apply Gaussian Blur to a Pixel Image

K-function using FFT

Distance Map of Window

Convert Data To Class ppp

Pairwise distances

Geyer's Saturation Point Process Model

Function Arrays for Spatial Patterns

Beadlet Anemones Data

Classify Points in a Point Pattern

Rectangular grid of points

Inhomogeneous Cross K Function

spatstat-internal

Internal spatstat functions

Diagnostic Plots for Fitted Point Process Model

Convert Pixel Image to Matrix

plot a Spatial Point Pattern

Distance to Boundary of Window

Pine saplings in Finland.

Convex Hull of Points

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Delaunay Triangulation of Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Generate a Quadrature Scheme from a Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Test Whether A Point Pattern is Marked

Distance Map of Point Pattern

Ord Interaction Process Family

Print a Fitted Point Process Model

Test Whether An Object Is A Window

Convert dataset to another unit of length

Histogram of Pixel Values in an Image

Crossing Points of Two Line Segment Patterns

Corners of a rectangle

Reduced Sample Estimator using Histogram Data

Residuals for Fitted Point Process Model

Plot a Function Array

Concatenate x,y Coordinate Vectors

Diameter of a Window

Inhomogeneous Multitype K Dot Function

plot a Spatial Line Segment Pattern

Multitype L-function (cross-type)

Endpoints of Line Segment Pattern

The Piecewise Constant Pairwise Interaction Point Process Model

model.matrix.ppm

Extract Design Matrix from Point Process Model

Pair Correlation Function

Divide Region into Quadrats

Generate a Default Pattern of Dummy Points

Beta Ganglion Cells in Cat Retina, Old Version

Simulate Gauss-Poisson Process

Print Brief Details of a Point Pattern Dataset

Estimate the empty space function F

Distance Between Two Point Patterns

Multitype pair correlation function

Saturated Pairwise Interaction Point Process Family

Simulate systematic random point pattern

Test Whether An Object Is A Pixel Image

Interactively Add Points

Multitype K Function (i-to-any)

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

crossdist.default

Pairwise distances between two different sets of points

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Interpret Fitted Model for Metropolis-Hastings Simulation.

Simulate Neyman-Scott Process

Level Set of a Pixel Image

Hyper Data Frame

Extract the Interaction from a Fitted Point Process Model

Marked Nearest Neighbour Distance Function

Simulation envelopes of summary function

Dirichlet Tessellation of Point Pattern

Marked J Function

Test Whether Marks Are Present

Circular Window

Identify Points in a Point Pattern

Interpolate a Pixel Image

Longleaf Pines Point Pattern

Quadrat counting for a point pattern

Mark Correlation Function

Multitype L-function (i-to-any)

Midpoints of Line Segment Pattern

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

quadratresample

Resample a Point Pattern by Resampling Quadrats

Randomly Shift a Point Pattern

Diggle-Gratton model

nearest.raster.point

Find Pixel Nearest to a Given Point

Generate Poisson Point Pattern

Apply Function to Image Broken Down by Factor

Multitype K Function (Cross-type)

Determine Whether One Window is Contained In Another

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

Determine Duplicated Points in a Spatial Point Pattern

Orientation Angles of Line Segments

Pair Correlation Function obtained from K Function

Nearest neighbour

Extract Original Data from a Fitted Point Process Model

Lurking variable plot

Distance to Boundary of Window

Compute Images of Constructed Covariates

Apply Vector Translation

Divide Image Into Sub-images

Evaluate Expression Involving Function Arrays

Biological Cells Point Pattern

Summary of a Line Segment Pattern Dataset

Generate N Uniform Random Points in a Disc

Pairwise distances between two different point patterns

The Multitype Strauss Point Process Model

Ponderosa Pine Tree Point Pattern

Log Likelihood for Poisson Point Process Model

Generic Pairwise Interaction model

Dilate a Window

Generic Ord Interaction model

Evaluate Expression Involving Functions

Apply Affine Transformation To Line Segment Pattern

Intersection or Union of Two Windows

The Strauss Point Process Model

pppmatching.object

Class of Point Matchings

Generate Multitype Poisson Point Pattern

Extract Subset of Image

Extract Subset of Line Segment Pattern

subset.splitppp

Extract or Replace Sub-Patterns

Convert Point Pattern to Another Unit of Length

Nearest-Neighbour Correlation of Marked Point Pattern

Class of Images

Data Frames of Function Values

Plot a plotppm Object Created by plot.ppm

summary.splitppp

Summary of a Split Point Pattern

Clark and Evans Aggregation Index

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

Hutchings' Bramble Canes data

Aherne's hamster tumour data

Extract Quadrature Scheme Used to Fit a Point Process Model

Nearest neighbour distances between line segments

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

Test Whether An Object Is A Point Pattern

Quadrature Scheme Based on Pixel Grid

Plot a Pixel Image

Area of a Window

Plot a List of Point Patterns

Remove Marks from a Marked Point Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Basis for Harmonic Functions

Multitype J Function (i-to-any)

Class of Quadrature Schemes

Test Whether An Object Is A Fitted Point Process Model

Convert Data To Class owin

Print Progress Reports

Lansing Woods Point Pattern

Hybrid Geyer Point Process Model

Randomly Shift a Line Segment Pattern

Rotate a Point Pattern

Bounding Box of a Window or Point Pattern

Fit Point Process Model to Data

Estimate window from points alone

Random Perturbation of a Point Pattern

Test Whether Points Are Inside A Window

Convert Polygonal Region into Different Format

Variance-Covariance Matrix for a Fitted Point Process Model

The Spatstat Package

Expand Window By Factor

Nearest Neighbour in Another Point Pattern

Neighbourhood density function

Simulate Simple Sequential Inhibition

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Vertices of a Window

Estimate the I-function

Mean, Median and Range of Pixel Values in an Image

Multitype J Function (i-to-j)

The Lennard-Jones Potential

New Zealand Trees Point Pattern

Nearest neighbour distances

Simulate from a Fitted Point Process Model

Combine Two Line Segment Patterns

Beta Ganglion Cells in Cat Retina

Find Largest Circle Inside Window

bounding.box.xy

Convex Hull of Points

Set Control Parameters for Metropolis-Hastings Algorithm.

Convert Data To Class psp

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Generate N Random Multitype Points

Class of Point Patterns

Areas of Morphological Erosions

Print Brief Details of a Line Segment Pattern Dataset

Summarise Marks in Every Neighbourhood in a Point Pattern

Hughes' Amacrine Cell Data

Centroid of a window

Generate N Random Points

compatible.fasp

Test Whether Two Function Arrays Are Compatible

Test Whether Two Pixel Images Are Compatible

Japanese Pines Point Pattern

Contour plot of pixel image

Random Thinning

Pair Correlation Function of Point Pattern

Interaction Distance of a Point Process

Plot a List of Things

Coefficients of Fitted Point Process Model

Generate Poisson Random Line Process

Weighted Empirical Cumulative Distribution Function

Define Point Process Model for Metropolis-Hastings Simulation.

California Redwoods Point Pattern (Ripley's Subset)

Apply Vector Translation To Line Segment Pattern

Extract or Replace Subset of Tessellation

Set Covariance of a Window

Simulate point patterns using the Metropolis-Hastings algorithm.

Plot a tessellation

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Evaluate Expression Involving Pixel Images

Pairwise distances

Create a Window

Fit the Matern Cluster Point Process by Minimum Contrast

Print a Quadrature Scheme

Pairwise distances between line segments

Superimpose Several Point Patterns

Plot a Spatial Window

Test whether Object is Multitype

Simulate Matern Model II

Spruces Point Pattern

Rotate a Window

Apply Vector Translation To Pixel Image

California Redwoods Point Pattern (Entire Dataset)

Profile Maximum Pseudolikelihood

Subset of Quadrature Scheme

Set or Reset the Marks in a Point Pattern

Create a Point Matching

Simulate Thomas Process

Fitted Conditional Intensity for Point Process Model

inforder.family

Infinite Order Interaction Family

Convert Line Segment Pattern to Another Unit of Length

pairdist.default

Pairwise distances

Pair Correlation Function obtained from array of K functions

Cut margins from rectangle

Kaplan-Meier Estimator using Histogram Data

Simulate Stratified Random Point Pattern

rescue.rectangle

Convert Window Back To Rectangle

Convert Window to Another Unit of Length

plot a Fitted Point Process Model

Generate N Uniform Random Points

Method of Minimum Contrast

plot a Spatial Quadrature Scheme

Exponential Energy Marks

Apply Affine Transformation To Window

Create a Line Segment Pattern

Apply Vector Translation To Window

Print Brief Details of a Spatial Window

Compute Quadrature Weights Based on Grid Counts

Test Whether A Point Process Model is Marked

spatstat.options

Internal Options in Spatstat Package

Fit cluster point process model

Update a Fitted Cluster Point Process Model

Summary of a Spatial Window

Extract Subset of Function Values

Create a Pixel Image Object

Sufficient Statistic of Point Process Model

Summarizing a Fitted Point Process Model

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

complement.owin

Take Complement of a Window

Update a Fitted Point Process Model

Name for Unit of Length

Pairwise distances between two different line segment patterns

Urkiola Woods Point Pattern

Plot Function Valuesn

Divide Point Pattern into Sub-patterns

Extract or Replace Subset of a List of Things

spatstat-deprecated

Deprecated spatstat functions

Define Point Process Model for Metropolis-Hastings Simulation.

Class of Fitted Point Process Models

Generate grid of parallel lines with random displacement

Simulate Matern Model I

Summary of a List of Things

Extract Subset of Function Array

Apply Vector Translation To Point Pattern

Swedish Pines Point Pattern

Perfect Simulation of the Strauss Process

Cartesian Coordinates for a Pixel Raster

Spatial smoothing of observations at irregular points

Humberside Data on Childhood Leukaemia and Lymphoma

Extract Unique Points from a Spatial Point Pattern

Union of Data and Dummy Points

Data and Code From JRSS Discussion Paper on Residuals

Kolmogorov-Smirnov Test for Point Process Model

Pairwise distances

Rotate a Line Segment Pattern

Compute Integral of Function Against Cumulative Distribution

Prediction from a Fitted Cluster Point Process Model

Q-Q Plot of Residuals from Fitted Point Process Model

plot.hyperframe

Plot Entries in a Hyperframe

Simulate a fitted cluster point process model.

Summary of a Point Pattern Dataset

Spokes pattern of dummy points

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

Create a Tessellation

Simulate Baddeley-Silverman Cell Process

Read Point Pattern From Data File

rshift.splitppp

Randomly Shift a List of Point Patterns

Simulated Point Pattern

Extract or Replace Subset of Point Pattern

Summarizing a Pixel Image

Fit the Thomas Point Process by Minimum Contrast

Reset Values in Subset of Image

Extract List of Tiles in a Tessellation

Summarizing a Quadrature Scheme