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spatstat (version 1.12-2)

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

1.12-2

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.12-2)

Geyer's Saturation Point Process Model

Convert Data To Class ppp

Convert Point Pattern Marks from Numeric to Factor

Kolmogorov-Smirnov Test for Point Process Model

Midpoints of Line Segment Pattern

plot.hyperframe

Plot Entries in a Hyperframe

Plot a Function Array

Generate N Random Multitype Points

Apply Vector Translation To Point Pattern

Apply Affine Transformation To Point Pattern

Corners of a rectangle

Interactively Add Points

Spatial smoothing of observations at irregular points

Artificial Data Point Pattern

Estimate the empty space function F

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Convert Data To Class owin

Spruces Point Pattern

Update a Fitted Point Process Model

Bounding Box of a Window or Point Pattern

Distance to Boundary of Window

Apply Affine Transformation To Line Segment Pattern

Interactively Define a Polygon

Crossing Points of Two Line Segment Patterns

Create a Pixel Image Object

Contour plot of pixel image

Areas of Morphological Erosions

Mean Pixel Value in an Image

Simulation envelopes of summary function

Pairwise distances

Aherne's hamster tumour data

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Multitype K Function (i-to-any)

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Pairwise distances between line segments

Plot a Spatial Window

Fit the Matern Cluster Point Process by Minimum Contrast

Extract Dummy Points Used to Fit a Point Process Model

multiplicity.ppp

Count Multiplicity of Duplicate Points

Print Brief Details of an Image

plot a Spatial Point Pattern

Kernel Smoothing of Line Segment Pattern

spatstat-deprecated

Deprecated spatstat functions

Multitype J Function (i-to-j)

Multitype J Function (i-to-any)

Compute Quadrature Weights Based on Grid Counts

Plot a plotppm Object Created by plot.ppm

Evaluate an Expression in Each Row of a Hyperframe

Orientation Angles of Line Segments

Convert Pixel Image to Matrix

Saturated Pairwise Interaction Point Process Family

Extract the Interaction from a Fitted Point Process Model

Evaluate Expression Involving Functions

Diameter of a Window

Safely Convert Point Pattern Window to Binary Mask

Calculate Statistic for All Types in a Multitype Point Pattern

Plot a List of Point Patterns

Class of Quadrature Schemes

Exponential Energy Marks

Superimpose Several Point Patterns

Extract Subset of Image

Convert Data To Class psp

Test Whether A Point Process Model is Marked

Rectangular grid of points

Neighbourhood density function

Beadlet Anemones Data

Calculate four standard summary functions of a point pattern.

Estimate window from points alone

Pair Correlation Function obtained from array of K functions

Print Brief Details of a Point Pattern Dataset

Rotate a Window

Data Frames of Function Values

Randomly Shift a Line Segment Pattern

Random Thinning

Simulate Simple Sequential Inhibition

Sample Quantiles of Pixel Image

Basis for Harmonic Functions

Generic Ord Interaction model

California Redwoods Point Pattern (Ripley's Subset)

Convert Point Pattern to Another Unit of Length

Apply Vector Translation To Pixel Image

Marked K-Function

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

Reduced Second Moment Measure

Test Whether Two Function Objects Are Compatible

Humberside Data on Childhood Leukaemia and Lymphoma

Convert to Pixel Image

Inhomogeneous Multitype K Dot Function

Hutchings' Bramble Canes data

Clark and Evans Aggregation Index

Window in Shape of Letter R

pairwise.family

Pairwise Interaction Process Family

Class of Images

Define Point Process Model for Metropolis-Hastings Simulation.

Pairwise distances

complement.owin

Take Complement of a Window

Point Patterns of New Brunswick Forest Fires

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

Estimate the J-function

Nearest-Neighbour Correlation of Marked Point Pattern

bounding.box.xy

Convex Hull of Points

Create a Window

The Multitype Strauss Point Process Model

Plot a List of Things

Profile Maximum Pseudolikelihood

Function Arrays for Spatial Patterns

Harkness-Isham ants' nests data

Convert Pixel Image from Numeric to Factor

Test Whether Points Are Inside A Window

Set Covariance of a Window

Extract or Replace Subset of Point Pattern

Inhomogeneous Cross K Function

Sufficient Statistic of Point Process Model

Histogram of Pixel Values in an Image

Reset Values in Subset of Image

Nearest neighbour distances between line segments

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

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

Remove Marks from a Marked Point Pattern

Inhomogeneous K-function

Expand Window By Factor

The Strauss Point Process Model

subset.splitppp

Extract or Replace Sub-Patterns

Vertices of a Window

Berman-Huntington points and lines data

Marked J Function

Identify Points in a Point Pattern

Simulated Point Pattern

Dilate a Window

Endpoints of Line Segment Pattern

Hughes' Amacrine Cell Data

Summarise Marks in Every Neighbourhood in a Point Pattern

Weighted Empirical Cumulative Distribution Function

Diggle-Gratton model

The Spatstat Package

Summary of a Point Pattern Dataset

Japanese Pines Point Pattern

Estimate the I-function

Interpolate a Pixel Image

Beta Ganglion Cells in Cat Retina, Old Version

Lansing Woods Point Pattern

Ord's Interaction model

Extract Original Data from a Fitted Point Process Model

Concatenate x,y Coordinate Vectors

Nearest neighbour

Hyper Data Frame

Extract Subset of Line Segment Pattern

Create a Point Pattern

spatstat-internal

Internal spatstat functions

Summary of a List of Things

Ord Interaction Process Family

Summary of a Line Segment Pattern Dataset

Create a Line Segment Pattern

Pair Correlation Function

Class of Point Patterns

Pair Correlation Function obtained from K Function

The Strauss / Hard Core Point Process Model

Distance Between Two Point Patterns

Simulate Thomas Process

Combine Two Line Segment Patterns

Print a Quadrature Scheme

crossdist.default

Pairwise distances between two different sets of points

California Redwoods Point Pattern (Entire Dataset)

Variance-Covariance Matrix for a Fitted Point Process Model

Test Whether An Object Is A Pixel Image

Fitted Conditional Intensity for Point Process Model

Test whether Object is Multitype

Prediction from a Fitted Point Process Model

Kaplan-Meier Estimator using Histogram Data

Level Set of a Pixel Image

Determine Whether One Window is Contained In Another

Swedish Pines Point Pattern

Distance for a Point Pattern Matching

Method of Minimum Contrast

Nearest neighbour distances

Pair Correlation Function of Point Pattern

Log Likelihood for Poisson Point Process Model

Simulate Neyman-Scott Process

Simulate Matern Model II

New Zealand Trees Point Pattern

plot a Spatial Quadrature Scheme

nearest.raster.point

Find Pixel Nearest to a Given Point

Ponderosa Pine Tree Point Pattern

Plot a Pixel Image

Apply Affine Transformation

Residuals for Fitted Point Process Model

Simulate Stratified Random Point Pattern

Perfect Simulation of the Strauss Process

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Set or Reset the Marks in a Point Pattern

Chorley-Ribble Cancer Data

Reduced Sample Estimator using Histogram Data

Convex Hull of Points

Generate N Uniform Random Points in a Disc

Summarizing a Pixel Image

Extract Subset of Function Array

Test Whether Marks Are Present

Convert Window to Another Unit of Length

Fit the Thomas Point Process by Minimum Contrast

Interaction Distance of a Point Process

Quadrat counting for a point pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Print Brief Details of a Spatial Window

Print Brief Details of a Line Segment Pattern Dataset

The Soft Core Point Process Model

Determine Duplicated Points in a Spatial Point Pattern

Print a Fitted Point Process Model

Simulate Baddeley-Silverman Cell Process

Generate a Quadrature Scheme from a Point Pattern

Interpret Fitted Model for Metropolis-Hastings Simulation.

Distance Map of Point Pattern

Kaplan-Meier and Reduced Sample Estimator using Histograms

Simulate point patterns using the Metropolis-Hastings algorithm.

Cut margins from rectangle

Determine Initial State for Metropolis-Hastings Simulation.

rescue.rectangle

Convert Window Back To Rectangle

Generate Poisson Point Pattern

Extract or Replace Subset of a List of Things

Pairwise distances

pairdist.default

Pairwise distances

Generate Multitype Poisson Point Pattern

Generate grid of parallel lines with random displacement

Simulate systematic random point pattern

Apply Vector Translation To Line Segment Pattern

Generate N Random Points

Rotate a Point Pattern

plot a Spatial Line Segment Pattern

Q-Q Plot of Residuals from Fitted Point Process Model

Union of Data and Dummy Points

Simulate Matern Cluster Process

Extract Unique Points from a Spatial Point Pattern

Cartesian Coordinates for a Pixel Raster

Random Re-Labelling of Point Pattern

Centroid of a window

Distance to Boundary of Window

Pairwise distances between two different line segment patterns

Apply Vector Translation

summary.splitppp

Summary of a Split Point Pattern

Kernel Smoothed Intensity of Point Pattern

Evaluate Expression Involving Pixel Images

Test Whether An Object Is A Fitted Point Process Model

Mark Correlation Function

Fit Point Process Model to Data

pppmatching.object

Class of Point Matchings

Define Point Process Model for Metropolis-Hastings Simulation.

Generate Poisson Random Line Process

Divide Point Pattern into Sub-patterns

spatstat.options

Internal Options in Spatstat Package

Nearest Neighbour Distance Function G

The Lennard-Jones Potential

The Piecewise Constant Pairwise Interaction Point Process Model

Saturated Pairwise Interaction model

Apply Affine Transformation To Window

Pairwise distances between two different point patterns

Generate a Default Pattern of Dummy Points

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Distance Map of Line Segment Pattern

Print Progress Reports

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

Data and Code From JRSS Discussion Paper on Residuals

Simulate from a Fitted Point Process Model

rshift.splitppp

Randomly Shift a List of Point Patterns

Generate N Uniform Random Points

Extract Subset of Function Values

Summary of a Spatial Window

Area of a Window

Tropical rain forest trees

Circular Window

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Test Whether An Object Is A Point Pattern

Perspective Plot of Pixel Image

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Convert Line Segment Pattern to Another Unit of Length

Convert dataset to another unit of length

Apply Vector Translation To Window

Rotate a Line Segment Pattern

Summarizing a Quadrature Scheme

Pixel Image Approximation of a Window

Generic Pairwise Interaction model

Biological Cells Point Pattern

Test Whether Two Pixel Images Are Compatible

Diagnostic Plots for Fitted Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Pine saplings in Finland.

Test Whether A Point Pattern is Marked

Lurking variable plot

Set Control Parameters for Metropolis-Hastings Algorithm.

Class of Fitted Point Process Models

Summarizing a Fitted Point Process Model

Name for Unit of Length

Marked Nearest Neighbour Distance Function

K-function using FFT

Beta Ganglion Cells in Cat Retina

Poisson Point Process Model

Coefficients of Fitted Point Process Model

Distance Map of Window

Nearest Neighbour in Another Point Pattern

Longleaf Pines Point Pattern

plot a Fitted Point Process Model

Simulate Matern Model I

Spokes pattern of dummy points

Multitype K Function (Cross-type)

ANOVA for Fitted Point Process Models

Apply Function to Every Neighbourhood in a Point Pattern

Intersection or Union of Two Windows

Test Whether An Object Is A Window

Create a Point Matching

Plot Function Valuesn

Lengths of Line Segments

Class of Line Segment Patterns

Randomly Shift a Point Pattern

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Read Point Pattern From Data File