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spatstat (version 1.12-6)

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

1.12-6

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.12-6)

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Poisson Point Process Model

Convert to Pixel Image

Nearest Neighbour Distance Function G

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

Estimate the J-function

Multitype K Function (i-to-any)

Coefficients of Fitted Point Process Model

Multitype J Function (i-to-j)

The Soft Core Point Process Model

Fitted Conditional Intensity for Point Process Model

spatstat-deprecated

Deprecated spatstat functions

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

Distance to Boundary of Window

Convert Data To Class psp

Reduced Second Moment Measure

Calculate four standard summary functions of a point pattern.

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

plot.hyperframe

Plot Entries in a Hyperframe

Apply Affine Transformation To Window

Pairwise distances between two different line segment patterns

Kernel Smoothed Intensity of Point Pattern

Extract Dummy Points Used to Fit a Point Process Model

Apply Affine Transformation To Line Segment Pattern

Simulate Matern Model I

Lansing Woods Point Pattern

Combine Two Line Segment Patterns

Calculate Statistic for All Types in a Multitype Point Pattern

Estimate the empty space function F

plot a Spatial Point Pattern

Diggle-Gratton model

Test Whether Two Function Objects Are Compatible

Apply Affine Transformation To Point Pattern

The Area Interaction Point Process Model

Distance to Boundary of Window

Generate a Default Pattern of Dummy Points

The Piecewise Constant Pairwise Interaction Point Process Model

Marked Nearest Neighbour Distance Function

Compute Quadrature Weights Based on Grid Counts

Saturated Pairwise Interaction model

Ord's Interaction model

The Lennard-Jones Potential

Diagnostic Plots for Fitted Point Process Model

Test Whether A Point Process Model is Marked

Midpoints of Line Segment Pattern

Generic Pairwise Interaction model

The Spatstat Package

Japanese Pines Point Pattern

Convex Hull of Points

Berman-Huntington points and lines data

Kernel Smoothing of Line Segment Pattern

Nearest neighbour distances between line segments

Estimate the I-function

Apply Function to Every Neighbourhood in a Point Pattern

Tropical rain forest trees

Evaluate Expression Involving Functions

Weighted Empirical Cumulative Distribution Function

Extract the Interaction from a Fitted Point Process Model

Harkness-Isham ants' nests data

Simulation envelopes of summary function

Contour plot of pixel image

Pairwise distances

Beadlet Anemones Data

Clark and Evans Aggregation Index

Convert Pixel Image to Matrix

Superimpose Several Point Patterns

Beta Ganglion Cells in Cat Retina

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Identify Points in a Point Pattern

Apply Affine Transformation

Expand Window By Factor

The Multitype Strauss Point Process Model

Convert Data To Class ppp

Biological Cells Point Pattern

Histogram of Pixel Values in an Image

ANOVA for Fitted Point Process Models

Evaluate Expression Involving Pixel Images

Nearest-Neighbour Correlation of Marked Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Quadrat counting for a point pattern

Exponential Energy Marks

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Evaluate an Expression in Each Row of a Hyperframe

complement.owin

Take Complement of a Window

Corners of a rectangle

Crossing Points of Two Line Segment Patterns

Area of a Window

Generic Ord Interaction model

Determine Duplicated Points in a Spatial Point Pattern

Multitype J Function (i-to-any)

Concatenate x,y Coordinate Vectors

Set Control Parameters for Metropolis-Hastings Algorithm.

Difference of Disc Areas

Test whether Object is Multitype

Humberside Data on Childhood Leukaemia and Lymphoma

Test Whether Points Are Inside A Window

Class of Images

Inhomogeneous Multitype K Dot Function

Multitype K Function (Cross-type)

Profile Maximum Pseudolikelihood

Create a Pixel Image Object

Print Brief Details of an Image

Extract Original Data from a Fitted Point Process Model

Orientation Angles of Line Segments

The Strauss / Hard Core Point Process Model

pairdist.default

Pairwise distances

Test Whether An Object Is A Pixel Image

Distance for a Point Pattern Matching

Function Arrays for Spatial Patterns

Level Set of a Pixel Image

Plot a List of Point Patterns

Print Brief Details of a Spatial Window

Data Frames of Function Values

Chorley-Ribble Cancer Data

Sample Quantiles of Pixel Image

Ord Interaction Process Family

Generate N Uniform Random Points in a Disc

California Redwoods Point Pattern (Entire Dataset)

Diameter of a Window

crossdist.default

Pairwise distances between two different sets of points

nearest.raster.point

Find Pixel Nearest to a Given Point

Hyper Data Frame

Variance-Covariance Matrix for a Fitted Point Process Model

Print a Fitted Point Process Model

Pairwise distances between line segments

Rectangular grid of points

Fit the Matern Cluster Point Process by Minimum Contrast

Test Whether Two Pixel Images Are Compatible

inforder.family

Infinite Order Interaction Family

Pair Correlation Function obtained from array of K functions

Inhomogeneous K-function

Dilate a Window

Circular Window

Generate Multitype Poisson Point Pattern

Print a Quadrature Scheme

Interpolate a Pixel Image

rshift.splitppp

Randomly Shift a List of Point Patterns

Distance Map of Line Segment Pattern

Pair Correlation Function

Plot Function Valuesn

Convert Line Segment Pattern to Another Unit of Length

Create a Point Matching

plot a Fitted Point Process Model

Convert dataset to another unit of length

Set or Reset the Marks in a Point Pattern

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

Class of Quadrature Schemes

Pairwise distances

Generate grid of parallel lines with random displacement

Areas of Morphological Erosions

plot a Spatial Line Segment Pattern

New Zealand Trees Point Pattern

Class of Fitted Point Process Models

Create a Line Segment Pattern

Bounding Box of a Window or Point Pattern

Rotate a Point Pattern

Randomly Shift a Point Pattern

Log Likelihood for Poisson Point Process Model

Create a Point Pattern

Convert Data To Class owin

Generate N Random Points

Lurking variable plot

Pine saplings in Finland.

Nearest Neighbour in Another Point Pattern

Perspective Plot of Pixel Image

bounding.box.xy

Convex Hull of Points

multiplicity.ppp

Count Multiplicity of Duplicate Points

Centroid of a window

Sufficient Statistic of Point Process Model

Summarizing a Quadrature Scheme

Interaction Distance of a Point Process

Apply Vector Translation To Window

spatstat-internal

Internal spatstat functions

Cut margins from rectangle

Pair Correlation Function of Point Pattern

Plot a plotppm Object Created by plot.ppm

Neighbourhood density function

Interpret Fitted Model for Metropolis-Hastings Simulation.

Reset Values in Subset of Image

pairwise.family

Pairwise Interaction Process Family

Test Whether An Object Is A Point Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Create a Window

Plot a Spatial Window

Kaplan-Meier Estimator using Histogram Data

Saturated Pairwise Interaction Point Process Family

Plot a Pixel Image

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Rotate a Line Segment Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Estimate window from points alone

Nearest neighbour

Determine Whether One Window is Contained In Another

summary.splitppp

Summary of a Split Point Pattern

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Update a Fitted Point Process Model

Extract or Replace Subset of a List of Things

Extract or Replace Subset of Point Pattern

Simulate Baddeley-Silverman Cell Process

Random Re-Labelling of Point Pattern

Simulate Gauss-Poisson Process

Kaplan-Meier and Reduced Sample Estimator using Histograms

Simulate Stratified Random Point Pattern

Summarizing a Pixel Image

Simulate systematic random point pattern

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Extract Subset of Line Segment Pattern

Set Covariance of a Window

Read Point Pattern From Data File

Vertices of a Window

plot a Spatial Quadrature Scheme

Perfect Simulation of the Strauss Process

Random Thinning

Simulate Neyman-Scott Process

Summary of a Spatial Window

Point Patterns of New Brunswick Forest Fires

Method of Minimum Contrast

Extract Subset of Function Values

Swedish Pines Point Pattern

Data and Code From JRSS Discussion Paper on Residuals

Pairwise distances

Remove Marks from a Marked Point Pattern

Apply Vector Translation To Pixel Image

Plot a List of Things

Summarizing a Fitted Point Process Model

Nearest neighbour distances

Generate Poisson Point Pattern

Randomly Shift a Line Segment Pattern

Distance Between Two Point Patterns

Mean Pixel Value in an Image

Mark Correlation Function

Summary of a Point Pattern Dataset

Spruces Point Pattern

Window in Shape of Letter R

Simulate Matern Model II

Class of Line Segment Patterns

California Redwoods Point Pattern (Ripley's Subset)

Print Brief Details of a Point Pattern Dataset

Ponderosa Pine Tree Point Pattern

Summary of a Line Segment Pattern Dataset

Prediction from a Fitted Point Process Model

Test Whether An Object Is A Window

Print Progress Reports

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Apply Vector Translation To Point Pattern

subset.splitppp

Extract or Replace Sub-Patterns

Convert Window to Another Unit of Length

Simulate Matern Cluster Process

spatstat.options

Internal Options in Spatstat Package

Determine Initial State for Metropolis-Hastings Simulation.

Generate N Random Multitype Points

Spokes pattern of dummy points

Print Brief Details of a Line Segment Pattern Dataset

Fit the Thomas Point Process by Minimum Contrast

Residuals for Fitted Point Process Model

Extract Subset of Image

Cartesian Coordinates for a Pixel Raster

Fit Point Process Model to Data

Extract Unique Points from a Spatial Point Pattern

Test Whether Marks Are Present

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

Reduced Sample Estimator using Histogram Data

Aherne's hamster tumour data

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Convert Pixel Image from Numeric to Factor

Simulated Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Define Point Process Model for Metropolis-Hastings Simulation.

Generate N Uniform Random Points

Apply Vector Translation

Divide Point Pattern into Sub-patterns

rescue.rectangle

Convert Window Back To Rectangle

Extract Subset of Function Array

Basis for Harmonic Functions

Simulate Simple Sequential Inhibition

Distance Map of Point Pattern

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Apply Vector Translation To Line Segment Pattern

Intersection or Union of Two Windows

Name for Unit of Length

Interactively Add Points

Convert Point Pattern Marks from Numeric to Factor

Beta Ganglion Cells in Cat Retina, Old Version

Distance Map of Window

Class of Point Patterns

Lengths of Line Segments

Spatial smoothing of observations at irregular points

pppmatching.object

Class of Point Matchings

Q-Q Plot of Residuals from Fitted Point Process Model

Simulate Thomas Process

Union of Data and Dummy Points

Simulate from a Fitted Point Process Model

Inhomogeneous Cross K Function

Interactively Define a Polygon

Hughes' Amacrine Cell Data

K-function using FFT

Pairwise distances between two different point patterns

Artificial Data Point Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Pixel Image Approximation of a Window

Test Whether An Object Is A Fitted Point Process Model

Pair Correlation Function obtained from K Function

Convert Point Pattern to Another Unit of Length

Geyer's Saturation Point Process Model

Marked K-Function

Endpoints of Line Segment Pattern

Hutchings' Bramble Canes data

Marked J Function

Test Whether A Point Pattern is Marked

Kolmogorov-Smirnov Test for Point Process Model

Summarise Marks in Every Neighbourhood in a Point Pattern

Plot a Function Array

Longleaf Pines Point Pattern

Rotate a Window

Generate Poisson Random Line Process

Generate a Quadrature Scheme from a Point Pattern

Summary of a List of Things

The Strauss Point Process Model