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spatstat (version 1.12-8)

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 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

16,015

Version

1.12-8

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.12-8)

Function Arrays for Spatial Patterns

Extract Dummy Points Used to Fit a Point Process Model

plot.hyperframe

Plot Entries in a Hyperframe

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Rotate a Line Segment Pattern

Areas of Morphological Erosions

Test Whether An Object Is A Pixel Image

Q-Q Plot of Residuals from Fitted Point Process Model

Profile Maximum Pseudolikelihood

Artificial Data Point Pattern

Distance for a Point Pattern Matching

pairdist.default

Pairwise distances

spatstat-deprecated

Deprecated spatstat functions

Hyper Data Frame

Plot a Spatial Window

California Redwoods Point Pattern (Entire Dataset)

inforder.family

Infinite Order Interaction Family

Summarizing a Fitted Point Process Model

Intersection or Union of Two Windows

Lansing Woods Point Pattern

Nearest Neighbour in Another Point Pattern

Pine saplings in Finland.

Remove Marks from a Marked Point Pattern

Dilate a Window

Summarise Marks in Every Neighbourhood in a Point Pattern

Histogram of Pixel Values in an Image

Identify Points in a Point Pattern

Distance Map of Point Pattern

Plot a Pixel Image

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Point Patterns of New Brunswick Forest Fires

Superimpose Several Point Patterns

spatstat-internal

Internal spatstat functions

Generate a Default Pattern of Dummy Points

Kaplan-Meier Estimator using Histogram Data

Log Likelihood for Poisson Point Process Model

Simulate Thomas Process

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Expand Window By Factor

Pairwise distances

Simulate from a Fitted Point Process Model

complement.owin

Take Complement of a Window

Sufficient Statistic of Point Process Model

Extract Subset of Line Segment Pattern

Perspective Plot of Pixel Image

Class of Point Patterns

Interpolate a Pixel Image

Compute Quadrature Weights Based on Grid Counts

Plot a List of Point Patterns

Generate Multitype Poisson Point Pattern

Simulate Gauss-Poisson Process

Test Whether Two Function Objects Are Compatible

Extract or Replace Subset of Point Pattern

Generate Poisson Random Line Process

Update a Fitted Point Process Model

Interpret Fitted Model for Metropolis-Hastings Simulation.

Extract the Interaction from a Fitted Point Process Model

pairwise.family

Pairwise Interaction Process Family

New Zealand Trees Point Pattern

Create a Window

Pairwise distances between two different line segment patterns

Create a Point Matching

Extract Quadrature Scheme Used to Fit a Point Process Model

Cartesian Coordinates for a Pixel Raster

Evaluate Expression Involving Functions

Method of Minimum Contrast

multiplicity.ppp

Count Multiplicity of Duplicate Points

Create a Line Segment Pattern

Simulate Matern Model II

Aherne's hamster tumour data

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Nearest neighbour

Convert Pixel Image from Numeric to Factor

Lurking variable plot

Corners of a rectangle

Extract Unique Points from a Spatial Point Pattern

Test Whether An Object Is A Window

Test Whether A Point Process Model is Marked

Print Brief Details of a Spatial Window

California Redwoods Point Pattern (Ripley's Subset)

Evaluate Expression Involving Pixel Images

Reset Values in Subset of Image

Beta Ganglion Cells in Cat Retina, Old Version

Data Frames of Function Values

Set Control Parameters for Metropolis-Hastings Algorithm.

Exponential Energy Marks

Contour plot of pixel image

Test Whether An Object Is A Point Pattern

Prediction from a Fitted Point Process Model

plot a Fitted Point Process Model

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

Class of Fitted Point Process Models

Kernel Smoothed Intensity of Point Pattern

Residuals for Fitted Point Process Model

Weighted Empirical Cumulative Distribution Function

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Nearest-Neighbour Correlation of Marked Point Pattern

Rectangular grid of points

Distance Between Two Point Patterns

Print Brief Details of a Line Segment Pattern Dataset

Mark Correlation Function

Simulate Stratified Random Point Pattern

Diagnostic Plots for Fitted Point Process Model

Safely Convert Point Pattern Window to Binary Mask

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Generate N Uniform Random Points in a Disc

Pairwise distances between two different point patterns

Simulate Baddeley-Silverman Cell Process

Pair Correlation Function obtained from K Function

Apply Vector Translation To Pixel Image

nearest.raster.point

Find Pixel Nearest to a Given Point

Neighbourhood density function

Level Set of a Pixel Image

Midpoints of Line Segment Pattern

Concatenate x,y Coordinate Vectors

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Distance Map of Window

Diameter of a Window

Data and Code From JRSS Discussion Paper on Residuals

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Quadrat counting for a point pattern

plot a Spatial Point Pattern

Simulated Point Pattern

Reduced Sample Estimator using Histogram Data

Class of Images

Crossing Points of Two Line Segment Patterns

Mean Pixel Value in an Image

Convex Hull of Points

Pairwise distances

Pairwise distances between line segments

Window in Shape of Letter R

Rotate a Point Pattern

Summarizing a Pixel Image

Distance Map of Line Segment Pattern

rshift.splitppp

Randomly Shift a List of Point Patterns

Pair Correlation Function obtained from array of K functions

Japanese Pines Point Pattern

Test Whether A Point Pattern is Marked

Set Covariance of a Window

Print Brief Details of an Image

Test Whether An Object Is A Fitted Point Process Model

Plot a Function Array

rescue.rectangle

Convert Window Back To Rectangle

Determine Whether One Window is Contained In Another

Convert Point Pattern to Another Unit of Length

plot a Spatial Quadrature Scheme

Generate N Random Multitype Points

Endpoints of Line Segment Pattern

Rotate a Window

Print a Quadrature Scheme

Summary of a Point Pattern Dataset

Generate Poisson Point Pattern

Pairwise distances

Spruces Point Pattern

Class of Quadrature Schemes

Extract Original Data from a Fitted Point Process Model

Convert dataset to another unit of length

Apply Vector Translation To Window

Create a Point Pattern

Random Re-Labelling of Point Pattern

Basis for Harmonic Functions

Print a Fitted Point Process Model

Read Point Pattern From Data File

Test whether Object is Multitype

Convert Window to Another Unit of Length

Kolmogorov-Smirnov Test for Point Process Model

Simulate Matern Model I

Test Whether Points Are Inside A Window

pppmatching.object

Class of Point Matchings

Simulate Neyman-Scott Process

Print Brief Details of a Point Pattern Dataset

Simulation envelopes of summary function

Random Thinning

Extract Subset of Function Array

Simulate point patterns using the Metropolis-Hastings algorithm.

Berman-Huntington points and lines data

subset.splitppp

Extract or Replace Sub-Patterns

Nearest neighbour distances between line segments

Generate N Uniform Random Points

Fit the Thomas Point Process by Minimum Contrast

Define Point Process Model for Metropolis-Hastings Simulation.

Apply Vector Translation To Line Segment Pattern

Simulate systematic random point pattern

Sample Quantiles of Pixel Image

Fitted Conditional Intensity for Point Process Model

Variance-Covariance Matrix for a Fitted Point Process Model

Nearest neighbour distances

Generate N Random Points

Define Point Process Model for Metropolis-Hastings Simulation.

Plot a List of Things

Name for Unit of Length

Extract Subset of Image

Class of Line Segment Patterns

Randomly Shift a Line Segment Pattern

Convert Data To Class owin

Randomly Shift a Point Pattern

Ord's Interaction model

Determine Initial State for Metropolis-Hastings Simulation.

Simulate Matern Cluster Process

crossdist.default

Pairwise distances between two different sets of points

Simulate Simple Sequential Inhibition

Ord Interaction Process Family

Apply Vector Translation

Cut margins from rectangle

The Soft Core Point Process Model

Print Progress Reports

Spatial smoothing of observations at irregular points

Inhomogeneous Multitype K Dot Function

Vertices of a Window

Apply Function to Every Neighbourhood in a Point Pattern

Extract or Replace Subset of a List of Things

Estimate the empty space function F

Diggle-Gratton model

Poisson Point Process Model

Spokes pattern of dummy points

Summary of a Spatial Window

Generate a Quadrature Scheme from a Point Pattern

Geyer's Saturation Point Process Model

Coefficients of Fitted Point Process Model

Convert Data To Class ppp

Extract Subset of Function Values

Beta Ganglion Cells in Cat Retina

Convert Data To Class psp

The Area Interaction Point Process Model

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

Generic Ord Interaction model

bounding.box.xy

Convex Hull of Points

Beadlet Anemones Data

Apply Affine Transformation

Pair Correlation Function of Point Pattern

Divide Point Pattern into Sub-patterns

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Hutchings' Bramble Canes data

Interactively Define a Polygon

Summarizing a Quadrature Scheme

Estimate the J-function

Orientation Angles of Line Segments

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

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

Marked Nearest Neighbour Distance Function

ANOVA for Fitted Point Process Models

The Multitype Strauss Point Process Model

Apply Affine Transformation To Point Pattern

Convert to Pixel Image

Combine Two Line Segment Patterns

The Lennard-Jones Potential

Marked K-Function

Bounding Box of a Window or Point Pattern

Fit Point Process Model to Data

Set or Reset the Marks in a Point Pattern

Reduced Second Moment Measure

Difference of Disc Areas

Apply Affine Transformation To Window

Multitype J Function (i-to-j)

Pixel Image Approximation of a Window

Multitype K Function (i-to-any)

Centroid of a window

Hughes' Amacrine Cell Data

Biological Cells Point Pattern

Area of a Window

Swedish Pines Point Pattern

Summary of a Line Segment Pattern Dataset

Nearest Neighbour Distance Function G

Multitype K Function (Cross-type)

The Strauss / Hard Core Point Process Model

Generic Pairwise Interaction model

Union of Data and Dummy Points

Convert Pixel Image to Matrix

Chorley-Ribble Cancer Data

K-function using FFT

Calculate four standard summary functions of a point pattern.

Distance to Boundary of Window

Inhomogeneous Cross K Function

The Piecewise Constant Pairwise Interaction Point Process Model

Clark and Evans Aggregation Index

Calculate Statistic for All Types in a Multitype Point Pattern

Tropical rain forest trees

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

The Strauss Point Process Model

Inhomogeneous K-function

Determine Duplicated Points in a Spatial Point Pattern

Kernel Smoothing of Line Segment Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Circular Window

Ponderosa Pine Tree Point Pattern

Longleaf Pines Point Pattern

Create a Pixel Image Object

plot a Spatial Line Segment Pattern

Test Whether Marks Are Present

Plot Function Valuesn

Interaction Distance of a Point Process

Generate grid of parallel lines with random displacement

Estimate window from points alone

Humberside Data on Childhood Leukaemia and Lymphoma

Fit the Matern Cluster Point Process by Minimum Contrast

Convert Line Segment Pattern to Another Unit of Length

Saturated Pairwise Interaction model

Marked J Function

Estimate the I-function

Saturated Pairwise Interaction Point Process Family

Summary of a List of Things

Perfect Simulation of the Strauss Process

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

summary.splitppp

Summary of a Split Point Pattern

Multitype J Function (i-to-any)

Harkness-Isham ants' nests data

Distance to Boundary of Window

Interactively Add Points

Test Whether Two Pixel Images Are Compatible

Evaluate an Expression in Each Row of a Hyperframe

Convert Point Pattern Marks from Numeric to Factor

Plot a plotppm Object Created by plot.ppm

Lengths of Line Segments

Pair Correlation Function

spatstat.options

Internal Options in Spatstat Package

Apply Vector Translation To Point Pattern

The Spatstat Package

Apply Affine Transformation To Line Segment Pattern