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spatstat (version 1.10-1)

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

18,534

Version

1.10-1

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.10-1)

Reduced Second Moment Measure

Combine Two Line Segment Patterns

Generic Ord Interaction model

Marked J Function

ANOVA for Fitted Point Process Models

Extract Dummy Points Used to Fit a Point Process Model

Determine Duplicated Points in a Spatial Point Pattern

Exponential Energy Marks

Diameter of a Window Frame

Aherne's hamster tumour data

The Piecewise Constant Pairwise Interaction Point Process Model

Test Whether An Object Is A Fitted Point Process Model

Pairwise distances between line segments

Test Whether Two Pixel Images Are Compatible

Test Whether An Object Is A Window

Humberside Data on Childhood Leukaemia and Lymphoma

Saturated Pairwise Interaction Point Process Family

Convert Pixel Image from Numeric to Factor

Dilate a Window

Profile Maximum Pseudolikelihood

crossdist.default

Pairwise distances between two different sets of points

Apply Affine Transformation To Line Segment Pattern

Create a Line Segment Pattern

Calculate Statistic for All Types in a Multitype Point Pattern

Pair Correlation Function

Create a Window

Simulate Simple Sequential Inhibition

Generate Multitype Poisson Point Pattern

Test Whether Marks Are Present

Mark Correlation Function

Q-Q Plot of Residuals from Fitted Point Process Model

Pairwise distances

rshift.splitppp

Randomly Shift a List of Point Patterns

Define Point Process Model for Metropolis-Hastings Simulation.

Estimate window from points alone

The Spatstat Package

Apply Vector Translation To Pixel Image

Generate N Random Multitype Points

Sufficient Statistic of Point Process Model

Class of Fitted Point Process Models

Simulate Neyman-Scott Process

Simulate Baddeley-Silverman Cell Process

Extract Quadrature Scheme Used to Fit a Point Process Model

Cartesian Coordinates for a Pixel Raster

spatstat.options

Internal Options in Spatstat Package

Inhomogeneous Cross K Function

Estimate the J-function

Simulate from a Fitted Point Process Model

Divide Point Pattern into Sub-patterns

Simulate Stratified Random Point Pattern

Areas of Morphological Erosions

Lengths of Line Segments

Print a Fitted Point Process Model

Ord's Interaction model

Marked K-Function

Optimal Match Between Two Point Patterns

Apply Affine Transformation

The Lennard-Jones Potential

Create a Point Pattern

Simulate Matern Model II

The Strauss / Hard Core Point Process Model

California Redwoods Point Pattern (Entire Dataset)

Harkness-Isham ants' nests data

Calculate four standard summary functions of a point pattern.

Kernel Smoothed Intensity of Point Pattern

Centroid of a window

Corners of a rectangle

K-function using FFT

Apply Function to Every Neighbourhood in a Point Pattern

Tropical rain forest trees

Orientation Angles of Line Segments

Hutchings' Bramble Canes data

Distance Map of Point Pattern

Multitype J Function (i-to-j)

Intersection or Union of Two Windows

Estimate the empty space function F

Beta Ganglion Cells in Cat Retina

Pixel Image Approximation of a Window

Coefficients of Fitted Point Process Model

Pair Correlation Function obtained from K Function

Biological Cells Point Pattern

Class of Images

plot a Fitted Point Process Model

Kernel Smoothing of Line Segment Pattern

Generate a Quadrature Scheme from a Point Pattern

Concatenate x,y Coordinate Vectors

Distance Map of Window

Test Whether A Point Pattern is Marked

Fit the Matern Cluster Point Process by Minimum Contrast

Ord Interaction Process Family

Diagnostic Plots for Fitted Point Process Model

The Strauss Point Process Model

Pine saplings in Finland.

Pairwise distances between two different line segment patterns

Extract Original Data from a Fitted Point Process Model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Random Thinning

Histogram of Pixel Values in an Image

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Plot a List of Point Patterns

multiplicity.ppp

Count Multiplicity of Duplicate Points

Longleaf Pines Point Pattern

Japanese Pines Point Pattern

Pair Correlation Function obtained from array of K functions

Print a Quadrature Scheme

The Multitype Strauss Point Process Model

Rectangular grid of points

Test whether Object is Multitype

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

nearest.raster.point

Find Pixel Nearest to a Given Point

Chorley-Ribble Cancer Data

Nearest neighbour distances

Nearest neighbour

Rotate a Point Pattern

complement.owin

Take Complement of a Window

Print Brief Details of a Spatial Window

Quadrat counting for a point pattern

Residuals for Fitted Point Process Model

Diggle-Gratton model

Data and Code From JRSS Discussion Paper on Residuals

Read Point Pattern From Data File

Rotate a Window

Generate a Default Pattern of Dummy Points

Simulate systematic random point pattern

Apply Vector Translation To Line Segment Pattern

Generate N Random Points

Apply Vector Translation To Window

Plot a plotppm Object Created by plot.ppm

Prediction from a Fitted Point Process Model

spatstat-deprecated

Deprecated spatstat functions

Circular Window

Print Brief Details of an Image

Set Covariance of a Window

Perfect Simulation of the Strauss Process

Beta Ganglion Cells in Cat Retina, Old Version

rescue.rectangle

Convert Window Back To Rectangle

Apply Vector Translation To Point Pattern

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

Superimpose Several Point Patterns

The Soft Core Point Process Model

Contour plot of pixel image

Spruces Point Pattern

Test Whether An Object Is A Point Pattern

Swedish Pines Point Pattern

Pairwise distances

Plot Function Valuesn

plot a Spatial Quadrature Scheme

Geyer's Saturation Point Process Model

Marked Nearest Neighbour Distance Function

Multitype K Function (Cross-type)

Inhomogeneous Multitype K Dot Function

Poisson Point Process Model

Inhomogeneous K-function

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Area of a Window

Convert Data To Class psp

Convert to Pixel Image

Summary of a Point Pattern Dataset

Test Whether Two Function Objects Are Compatible

Kaplan-Meier and Reduced Sample Estimator using Histograms

Spokes pattern of dummy points

Lurking variable plot

Generate N Uniform Random Points

Interaction Distance of a Point Process

Data Frames of Function Values

Plot a Pixel Image

Level Set of a Pixel Image

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Method of Minimum Contrast

California Redwoods Point Pattern (Ripley's Subset)

plot a Spatial Line Segment Pattern

Nearest Neighbour in Another Point Pattern

Nearest-Neighbour Correlation of Marked Point Pattern

Saturated Pairwise Interaction model

Plot a Function Array

Bounding Box of a Window

Pairwise distances

Plot a List of Things

Pairwise distances between two different point patterns

Endpoints of Line Segment Pattern

Cut margins from rectangle

Remove Marks from a Marked Point Pattern

Evaluate Expression Involving Pixel Images

Kaplan-Meier Estimator using Histogram Data

Simulate Matern Model I

pairdist.default

Pairwise distances

Print Brief Details of a Point Pattern Dataset

Sample Quantiles of Pixel Image

Random Re-Labelling of Point Pattern

Simulate point patterns using the Metropolis-Hastings algorithm.

Set Control Parameters for Metropolis-Hastings Algorithm.

Determine Initial State for Metropolis-Hastings Simulation.

Set or Reset the Marks in a Point Pattern

Union of Data and Dummy Points

Estimate the I-function

Convert Pixel Image to Matrix

Apply Affine Transformation To Point Pattern

Berman-Huntington points and lines data

Distance to Boundary of Window

Test Whether Points Are Inside A Window

Determine Whether One Window is Contained In Another

Mean Pixel Value in an Image

Extract Subset of Image

Convert Data To Class ppp

Summary of a Line Segment Pattern Dataset

Test Whether A Point Process Model is Marked

Distance Map of Line Segment Pattern

Pair Correlation Function of Point Pattern

Fit Point Process Model to Data

Window in Shape of Letter R

Class of Line Segment Patterns

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Midpoints of Line Segment Pattern

Class of Point Patterns

Simulate Matern Cluster Process

Test Whether An Object Is A Pixel Image

Randomly Shift a Line Segment Pattern

Generate N Uniform Random Points in a Disc

Evaluate Expression Involving Functions

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

Extract Subset of Function Values

Basis for Harmonic Functions

Extract Subset of Function Array

Extract Subset of Line Segment Pattern

Summarizing a Pixel Image

Identify Points in a Point Pattern

Fit the Thomas Point Process by Minimum Contrast

Fitted Conditional Intensity for Point Process Model

New Zealand Trees Point Pattern

Update a Fitted Point Process Model

Simulate Thomas Process

Randomly Shift a Point Pattern

Summary of a Spatial Window

Summarizing a Fitted Point Process Model

Extract Unique Points from a Spatial Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

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

Apply Affine Transformation To Window

Hughes' Amacrine Cell Data

Artificial Data Point Pattern

Perspective Plot of Pixel Image

Class of Quadrature Schemes

Apply Vector Translation

Simulated Point Pattern

Nearest Neighbour Distance Function G

Multitype J Function (i-to-any)

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Convert Point Pattern Marks from Numeric to Factor

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Summarise Marks in Every Neighbourhood in a Point Pattern

Lansing Woods Point Pattern

Reduced Sample Estimator using Histogram Data

pairwise.family

Pairwise Interaction Process Family

Generate Poisson Random Line Process

Rotate a Line Segment Pattern

Summarizing a Quadrature Scheme

Name for Unit of Length

Extract or Replace Subset of Point Pattern

Multitype K Function (i-to-any)

Convert Data To Class owin

Simulation envelopes of summary function

Crossing Points of Two Line Segment Patterns

Plot a Spatial Window

Print Brief Details of a Line Segment Pattern Dataset

Generate Poisson Point Pattern

Generic Pairwise Interaction model

Distance to Boundary of Window

Interactively Add Points

Function Arrays for Spatial Patterns

Expand Window By Factor

Compute Quadrature Weights Based on Grid Counts

Create a Pixel Image Object

plot a Spatial Point Pattern

selfcrossing.psp

Crossing Points in a Line Segment Pattern

spatstat-internal

Internal spatstat functions