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spatstat (version 1.11-8)

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).

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Version

Install

install.packages('spatstat')

Monthly Downloads

16,015

Version

1.11-8

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.11-8)

Apply Affine Transformation To Line Segment Pattern

Beadlet Anemones Data

Chorley-Ribble Cancer Data

Hutchings' Bramble Canes data

Generate a Default Pattern of Dummy Points

Saturated Pairwise Interaction model

Area of a Window

Pixel Image Approximation of a Window

Diggle-Gratton model

Reduced Second Moment Measure

bounding.box.xy

Convex Hull of Points

Apply Affine Transformation

Convert Point Pattern Marks from Numeric to Factor

Data Frames of Function Values

Test Whether An Object Is A Fitted Point Process Model

The Piecewise Constant Pairwise Interaction Point Process Model

Marked K-Function

The Soft Core Point Process Model

Nearest-Neighbour Correlation of Marked Point Pattern

complement.owin

Take Complement of a Window

K-function using FFT

Create a Pixel Image Object

Convert Data To Class owin

Poisson Point Process Model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

The Strauss / Hard Core Point Process Model

Multitype K Function (Cross-type)

Diagnostic Plots for Fitted Point Process Model

crossdist.default

Pairwise distances between two different sets of points

Basis for Harmonic Functions

spatstat-internal

Internal spatstat functions

Bounding Box of a Window or Point Pattern

Multitype K Function (i-to-any)

Extract Original Data from a Fitted Point Process Model

Circular Window

Pine saplings in Finland.

Inhomogeneous Cross K Function

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Combine Two Line Segment Patterns

ANOVA for Fitted Point Process Models

Calculate four standard summary functions of a point pattern.

Pairwise distances

Pair Correlation Function

Test Whether An Object Is A Pixel Image

Orientation Angles of Line Segments

Harkness-Isham ants' nests data

Pairwise distances between line segments

Japanese Pines Point Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Pair Correlation Function obtained from K Function

Plot a List of Things

spatstat-deprecated

Deprecated spatstat functions

Test Whether An Object Is A Point Pattern

Clark and Evans Aggregation Index

Log Likelihood for Poisson Point Process Model

Random Re-Labelling of Point Pattern

Print Brief Details of an Image

Artificial Data Point Pattern

Distance Map of Window

Kolmogorov-Smirnov Test for Point Process Model

Midpoints of Line Segment Pattern

Class of Images

Perfect Simulation of the Strauss Process

Weighted Empirical Cumulative Distribution Function

Fitted Conditional Intensity for Point Process Model

Determine Duplicated Points in a Spatial Point Pattern

Interactively Define a Polygon

Test Whether Two Pixel Images Are Compatible

Extract Subset of Function Values

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

New Zealand Trees Point Pattern

Estimate the empty space function F

Test whether Object is Multitype

Interpolate a Pixel Image

Simulate Matern Cluster Process

Convert Pixel Image from Numeric to Factor

plot a Spatial Quadrature Scheme

Kernel Smoothed Intensity of Point Pattern

Nearest neighbour distances

Generate N Random Multitype Points

Simulate Simple Sequential Inhibition

multiplicity.ppp

Count Multiplicity of Duplicate Points

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Apply Vector Translation

Window in Shape of Letter R

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

Level Set of a Pixel Image

pairwise.family

Pairwise Interaction Process Family

Class of Fitted Point Process Models

Extract the Interaction from a Fitted Point Process Model

Pairwise distances between two different line segment patterns

Print Brief Details of a Line Segment Pattern Dataset

Lansing Woods Point Pattern

Multitype J Function (i-to-any)

Test Whether An Object Is A Window

Cartesian Coordinates for a Pixel Raster

Histogram of Pixel Values in an Image

Safely Convert Point Pattern Window to Binary Mask

pairdist.default

Pairwise distances

Estimate the J-function

Extract Unique Points from a Spatial Point Pattern

Quadrat counting for a point pattern

plot a Fitted Point Process Model

Mark Correlation Function

Pairwise distances

Pairwise distances

Multitype J Function (i-to-j)

Generate N Random Points

Evaluate Expression Involving Functions

Extract Subset of Image

Print Brief Details of a Point Pattern Dataset

Lengths of Line Segments

Generic Ord Interaction model

Apply Affine Transformation To Window

Saturated Pairwise Interaction Point Process Family

Plot a plotppm Object Created by plot.ppm

Fit the Matern Cluster Point Process by Minimum Contrast

Print a Quadrature Scheme

Kernel Smoothing of Line Segment Pattern

Estimate the I-function

Geyer's Saturation Point Process Model

Perspective Plot of Pixel Image

Profile Maximum Pseudolikelihood

Extract Quadrature Scheme Used to Fit a Point Process Model

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

Ord Interaction Process Family

Class of Quadrature Schemes

Hughes' Amacrine Cell Data

Convert dataset to another unit of length

Simulate from a Fitted Point Process Model

Summary of a List of Things

Beta Ganglion Cells in Cat Retina, Old Version

Update a Fitted Point Process Model

Create a Line Segment Pattern

California Redwoods Point Pattern (Entire Dataset)

Interaction Distance of a Point Process

Crossing Points of Two Line Segment Patterns

Simulated Point Pattern

Simulate Thomas Process

Set or Reset the Marks in a Point Pattern

The Spatstat Package

Convex Hull of Points

Reduced Sample Estimator using Histogram Data

Corners of a rectangle

Remove Marks from a Marked Point Pattern

Randomly Shift a Point Pattern

The Strauss Point Process Model

Generate N Uniform Random Points

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Convert Pixel Image to Matrix

summary.splitppp

Summary of a Split Point Pattern

Interactively Add Points

Prediction from a Fitted Point Process Model

Identify Points in a Point Pattern

Apply Vector Translation To Point Pattern

Simulation envelopes of summary function

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Areas of Morphological Erosions

Coefficients of Fitted Point Process Model

Residuals for Fitted Point Process Model

Simulate Baddeley-Silverman Cell Process

Read Point Pattern From Data File

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

Generate Poisson Point Pattern

Marked Nearest Neighbour Distance Function

Apply Vector Translation To Pixel Image

Fit Point Process Model to Data

Distance Map of Point Pattern

Expand Window By Factor

Define Point Process Model for Metropolis-Hastings Simulation.

Inhomogeneous K-function

Longleaf Pines Point Pattern

Simulate Neyman-Scott Process

Convert Window to Another Unit of Length

Randomly Shift a Line Segment Pattern

Sample Quantiles of Pixel Image

Random Thinning

Determine Whether One Window is Contained In Another

Rotate a Line Segment Pattern

Ord's Interaction model

Spokes pattern of dummy points

Spruces Point Pattern

Test Whether Two Function Objects Are Compatible

Extract or Replace Subset of Point Pattern

plot a Spatial Point Pattern

Apply Function to Every Neighbourhood in a Point Pattern

Apply Affine Transformation To Point Pattern

Set Covariance of a Window

Test Whether A Point Process Model is Marked

Apply Vector Translation To Window

Union of Data and Dummy Points

Lurking variable plot

Compute Quadrature Weights Based on Grid Counts

Optimal Match Between Two Point Patterns

Rectangular grid of points

Summary of a Spatial Window

Apply Vector Translation To Line Segment Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Test Whether Points Are Inside A Window

Summarizing a Fitted Point Process Model

Convert Data To Class ppp

Plot a Function Array

Plot a Spatial Window

Beta Ganglion Cells in Cat Retina

Test Whether Marks Are Present

Create a Point Pattern

Test Whether A Point Pattern is Marked

Point Patterns of New Brunswick Forest Fires

Plot a List of Point Patterns

Determine Initial State for Metropolis-Hastings Simulation.

Pair Correlation Function of Point Pattern

Summarizing a Pixel Image

Berman-Huntington points and lines data

Aherne's hamster tumour data

Print Progress Reports

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Nearest Neighbour Distance Function G

California Redwoods Point Pattern (Ripley's Subset)

Data and Code From JRSS Discussion Paper on Residuals

Pairwise distances between two different point patterns

The Multitype Strauss Point Process Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Marked J Function

Distance Map of Line Segment Pattern

Convert Data To Class psp

Generate grid of parallel lines with random displacement

plot a Spatial Line Segment Pattern

Nearest Neighbour in Another Point Pattern

Convert Line Segment Pattern to Another Unit of Length

Plot Function Valuesn

Centroid of a window

rescue.rectangle

Convert Window Back To Rectangle

Rotate a Point Pattern

Extract Subset of Line Segment Pattern

Evaluate Expression Involving Pixel Images

Convert Point Pattern to Another Unit of Length

Method of Minimum Contrast

Simulate Stratified Random Point Pattern

Interpret Fitted Model for Metropolis-Hastings Simulation.

Calculate Statistic for All Types in a Multitype Point Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Concatenate x,y Coordinate Vectors

Mean Pixel Value in an Image

Intersection or Union of Two Windows

Endpoints of Line Segment Pattern

Plot a Pixel Image

Nearest neighbour distances between line segments

subset.splitppp

Extract or Replace Sub-Patterns

Q-Q Plot of Residuals from Fitted Point Process Model

Divide Point Pattern into Sub-patterns

Nearest neighbour

Generic Pairwise Interaction model

Summary of a Point Pattern Dataset

nearest.raster.point

Find Pixel Nearest to a Given Point

Generate N Uniform Random Points in a Disc

Vertices of a Window

Cut margins from rectangle

Simulate Matern Model II

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Estimate window from points alone

Name for Unit of Length

Convert to Pixel Image

Fit the Thomas Point Process by Minimum Contrast

Superimpose Several Point Patterns

Variance-Covariance Matrix for a Fitted Point Process Model

Function Arrays for Spatial Patterns

Biological Cells Point Pattern

Generate a Quadrature Scheme from a Point Pattern

Extract Subset of Function Array

Rotate a Window

Simulate systematic random point pattern

Summarizing a Quadrature Scheme

spatstat.options

Internal Options in Spatstat Package

Generate Multitype Poisson Point Pattern

Extract or Replace Subset of a List of Things

Swedish Pines Point Pattern

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

Summary of a Line Segment Pattern Dataset

Kaplan-Meier Estimator using Histogram Data

Inhomogeneous Multitype K Dot Function

Extract Dummy Points Used to Fit a Point Process Model

Reset Values in Subset of Image

Distance to Boundary of Window

The Lennard-Jones Potential

Tropical rain forest trees

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Print Brief Details of a Spatial Window

Class of Line Segment Patterns

Distance to Boundary of Window

Print a Fitted Point Process Model

Contour plot of pixel image

Diameter of a Window

Dilate a Window

Simulate Matern Model I

Exponential Energy Marks

Set Control Parameters for Metropolis-Hastings Algorithm.

Summarise Marks in Every Neighbourhood in a Point Pattern

Create a Window

Pair Correlation Function obtained from array of K functions

Humberside Data on Childhood Leukaemia and Lymphoma

Class of Point Patterns

Define Point Process Model for Metropolis-Hastings Simulation.

Generate Poisson Random Line Process

Sufficient Statistic of Point Process Model