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spatstat (version 1.12-7)

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

1.12-7

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.12-7)

crossdist.default

Pairwise distances between two different sets of points

Evaluate Expression Involving Functions

Multitype K Function (i-to-any)

Fit the Matern Cluster Point Process by Minimum Contrast

Multitype K Function (Cross-type)

Simulate Baddeley-Silverman Cell Process

Saturated Pairwise Interaction model

The Piecewise Constant Pairwise Interaction Point Process Model

Convert to Pixel Image

Inhomogeneous Multitype K Dot Function

The Strauss / Hard Core Point Process Model

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

Pixel Image Approximation of a Window

Corners of a rectangle

Simulate point patterns using the Metropolis-Hastings algorithm.

Beadlet Anemones Data

Multitype J Function (i-to-j)

plot a Fitted Point Process Model

Nearest Neighbour Distance Function G

Estimate the empty space function F

The Area Interaction Point Process Model

Geyer's Saturation Point Process Model

Test Whether Points Are Inside A Window

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

Generate Poisson Random Line Process

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Harkness-Isham ants' nests data

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Distance Map of Line Segment Pattern

Plot a Spatial Window

plot.hyperframe

Plot Entries in a Hyperframe

Convert Pixel Image to Matrix

Concatenate x,y Coordinate Vectors

Inhomogeneous K-function

Biological Cells Point Pattern

Pairwise distances

Berman-Huntington points and lines data

Simulate Matern Model I

Beta Ganglion Cells in Cat Retina

Difference of Disc Areas

Mark Correlation Function

Weighted Empirical Cumulative Distribution Function

California Redwoods Point Pattern (Entire Dataset)

Areas of Morphological Erosions

Convert Point Pattern Marks from Numeric to Factor

Point Patterns of New Brunswick Forest Fires

Kolmogorov-Smirnov Test for Point Process Model

Generate a Quadrature Scheme from a Point Pattern

Coefficients of Fitted Point Process Model

Mean Pixel Value in an Image

Convert Data To Class owin

Apply Affine Transformation To Window

California Redwoods Point Pattern (Ripley's Subset)

The Lennard-Jones Potential

Convert Data To Class psp

Lansing Woods Point Pattern

bounding.box.xy

Convex Hull of Points

Centroid of a window

Compute Quadrature Weights Based on Grid Counts

Reduced Second Moment Measure

Hughes' Amacrine Cell Data

Multitype J Function (i-to-any)

Lurking variable plot

Simulated Point Pattern

Kernel Smoothing of Line Segment Pattern

Basis for Harmonic Functions

Pair Correlation Function obtained from array of K functions

Pairwise distances

Summarise Marks in Every Neighbourhood in a Point Pattern

Plot a Function Array

Kaplan-Meier Estimator using Histogram Data

Extract Quadrature Scheme Used to Fit a Point Process Model

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Test Whether Two Function Objects Are Compatible

Class of Line Segment Patterns

New Zealand Trees Point Pattern

Intersection or Union of Two Windows

Test Whether An Object Is A Window

Print Brief Details of a Spatial Window

Simulate Simple Sequential Inhibition

pairwise.family

Pairwise Interaction Process Family

Nearest-Neighbour Correlation of Marked Point Pattern

spatstat-internal

Internal spatstat functions

Saturated Pairwise Interaction Point Process Family

Class of Fitted Point Process Models

Print Brief Details of an Image

Class of Images

Simulate systematic random point pattern

Area of a Window

multiplicity.ppp

Count Multiplicity of Duplicate Points

Estimate window from points alone

Exponential Energy Marks

Create a Point Matching

Histogram of Pixel Values in an Image

Kaplan-Meier and Reduced Sample Estimator using Histograms

Estimate the J-function

Create a Window

Random Re-Labelling of Point Pattern

Interaction Distance of a Point Process

Pairwise distances between two different line segment patterns

Poisson Point Process Model

Simulate Gauss-Poisson Process

Tropical rain forest trees

Estimate the I-function

Dilate a Window

Perfect Simulation of the Strauss Process

Quadrat counting for a point pattern

Generate Poisson Point Pattern

Lengths of Line Segments

Print a Fitted Point Process Model

Sample Quantiles of Pixel Image

Summary of a List of Things

Evaluate Expression Involving Pixel Images

Plot Function Valuesn

Simulate from a Fitted Point Process Model

Summarizing a Pixel Image

Function Arrays for Spatial Patterns

Summary of a Point Pattern Dataset

Plot a List of Things

Randomly Shift a Point Pattern

Determine Duplicated Points in a Spatial Point Pattern

Interpolate a Pixel Image

Summary of a Line Segment Pattern Dataset

Extract Subset of Function Values

spatstat.options

Internal Options in Spatstat Package

Distance Map of Window

Divide Point Pattern into Sub-patterns

Class of Point Patterns

Ord's Interaction model

Summarizing a Quadrature Scheme

Generate a Default Pattern of Dummy Points

Generate Multitype Poisson Point Pattern

Convex Hull of Points

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Kernel Smoothed Intensity of Point Pattern

Expand Window By Factor

Distance to Boundary of Window

Diagnostic Plots for Fitted Point Process Model

Fit the Thomas Point Process by Minimum Contrast

Beta Ganglion Cells in Cat Retina, Old Version

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

inforder.family

Infinite Order Interaction Family

Generate grid of parallel lines with random displacement

Pair Correlation Function

Ponderosa Pine Tree Point Pattern

Simulate Matern Model II

Set Covariance of a Window

Test Whether An Object Is A Point Pattern

Superimpose Several Point Patterns

Method of Minimum Contrast

Test Whether A Point Process Model is Marked

Hyper Data Frame

Apply Affine Transformation To Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Humberside Data on Childhood Leukaemia and Lymphoma

Convert Line Segment Pattern to Another Unit of Length

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Aherne's hamster tumour data

Randomly Shift a Line Segment Pattern

Calculate Statistic for All Types in a Multitype Point Pattern

Residuals for Fitted Point Process Model

Diggle-Gratton model

selfcrossing.psp

Crossing Points in a Line Segment Pattern

pppmatching.object

Class of Point Matchings

Artificial Data Point Pattern

Window in Shape of Letter R

Neighbourhood density function

Apply Vector Translation To Point Pattern

Create a Line Segment Pattern

complement.owin

Take Complement of a Window

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Distance Map of Point Pattern

Distance to Boundary of Window

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Create a Point Pattern

Union of Data and Dummy Points

Distance Between Two Point Patterns

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

The Spatstat Package

Print Progress Reports

Interactively Add Points

Test Whether Marks Are Present

Apply Function to Every Neighbourhood in a Point Pattern

Simulate Neyman-Scott Process

Longleaf Pines Point Pattern

Nearest neighbour distances between line segments

Test Whether An Object Is A Pixel Image

Apply Affine Transformation

Class of Quadrature Schemes

Convert Window to Another Unit of Length

Define Point Process Model for Metropolis-Hastings Simulation.

Generic Ord Interaction model

rescue.rectangle

Convert Window Back To Rectangle

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

plot a Spatial Point Pattern

Orientation Angles of Line Segments

Contour plot of pixel image

Extract Subset of Image

Crossing Points of Two Line Segment Patterns

Convert Data To Class ppp

Prediction from a Fitted Point Process Model

Swedish Pines Point Pattern

The Multitype Strauss Point Process Model

Print Brief Details of a Line Segment Pattern Dataset

Cut margins from rectangle

Rotate a Window

Japanese Pines Point Pattern

summary.splitppp

Summary of a Split Point Pattern

Evaluate an Expression in Each Row of a Hyperframe

Set Control Parameters for Metropolis-Hastings Algorithm.

Q-Q Plot of Residuals from Fitted Point Process Model

Test Whether An Object Is A Fitted Point Process Model

Plot a Pixel Image

Plot a List of Point Patterns

Extract the Interaction from a Fitted Point Process Model

Apply Vector Translation

Remove Marks from a Marked Point Pattern

Endpoints of Line Segment Pattern

Apply Vector Translation To Window

ANOVA for Fitted Point Process Models

Vertices of a Window

Set or Reset the Marks in a Point Pattern

Name for Unit of Length

Variance-Covariance Matrix for a Fitted Point Process Model

Extract Subset of Function Array

Interpret Fitted Model for Metropolis-Hastings Simulation.

Define Point Process Model for Metropolis-Hastings Simulation.

Interactively Define a Polygon

Pairwise distances between two different point patterns

K-function using FFT

Distance for a Point Pattern Matching

Extract Dummy Points Used to Fit a Point Process Model

Rotate a Line Segment Pattern

Print a Quadrature Scheme

Random Thinning

Apply Vector Translation To Pixel Image

Extract or Replace Subset of Point Pattern

Calculate four standard summary functions of a point pattern.

Bounding Box of a Window or Point Pattern

Read Point Pattern From Data File

Determine Whether One Window is Contained In Another

Safely Convert Point Pattern Window to Binary Mask

Marked J Function

Sufficient Statistic of Point Process Model

Simulate Thomas Process

Fitted Conditional Intensity for Point Process Model

Extract Unique Points from a Spatial Point Pattern

Pine saplings in Finland.

Generate N Random Multitype Points

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

subset.splitppp

Extract or Replace Sub-Patterns

Perspective Plot of Pixel Image

rshift.splitppp

Randomly Shift a List of Point Patterns

Generic Pairwise Interaction model

Spruces Point Pattern

Convert Pixel Image from Numeric to Factor

spatstat-deprecated

Deprecated spatstat functions

Marked Nearest Neighbour Distance Function

Combine Two Line Segment Patterns

Test Whether A Point Pattern is Marked

Data and Code From JRSS Discussion Paper on Residuals

Generate N Random Points

plot a Spatial Line Segment Pattern

Plot a plotppm Object Created by plot.ppm

Profile Maximum Pseudolikelihood

Extract Original Data from a Fitted Point Process Model

Diameter of a Window

The Soft Core Point Process Model

The Strauss Point Process Model

Update a Fitted Point Process Model

Data Frames of Function Values

Hutchings' Bramble Canes data

Chorley-Ribble Cancer Data

Extract Subset of Line Segment Pattern

Print Brief Details of a Point Pattern Dataset

Reset Values in Subset of Image

nearest.raster.point

Find Pixel Nearest to a Given Point

Cartesian Coordinates for a Pixel Raster

Nearest neighbour

Simulation envelopes of summary function

Summary of a Spatial Window

Simulate Stratified Random Point Pattern

Simulate Matern Cluster Process

Convert Point Pattern to Another Unit of Length

Apply Vector Translation To Line Segment Pattern

Extract or Replace Subset of a List of Things

Spokes pattern of dummy points

Nearest Neighbour in Another Point Pattern

Clark and Evans Aggregation Index

Log Likelihood for Poisson Point Process Model

Pair Correlation Function of Point Pattern

Nearest neighbour distances

Pairwise distances between line segments

Midpoints of Line Segment Pattern

Test whether Object is Multitype

Pair Correlation Function obtained from K Function

Pairwise distances

plot a Spatial Quadrature Scheme

Fit Point Process Model to Data

Apply Affine Transformation To Line Segment Pattern

Spatial smoothing of observations at irregular points

Generate N Uniform Random Points

Summarizing a Fitted Point Process Model

Convert dataset to another unit of length

Generate N Uniform Random Points in a Disc

Rotate a Point Pattern

Inhomogeneous Cross K Function

Marked K-Function

Circular Window

Create a Pixel Image Object

Identify Points in a Point Pattern

Test Whether Two Pixel Images Are Compatible

Level Set of a Pixel Image

Ord Interaction Process Family

pairdist.default

Pairwise distances

Reduced Sample Estimator using Histogram Data

Rectangular grid of points