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spatstat (version 1.9-2)

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 exploratory data analysis, model-fitting, simulation, 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

1.9-2

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.9-2)

Beta Ganglion Cells in Cat Retina

Combine Two Line Segment Patterns

Midpoints of Line Segment Pattern

Saturated Pairwise Interaction model

Corners of a rectangle

Diagnostic Plots for Fitted Point Process Model

Marked Nearest Neighbour Distance Function

pairwise.family

Pairwise Interaction Process Family

The Piecewise Constant Pairwise Interaction Point Process Model

Exponential Energy Marks

Test Whether A Point Pattern is Marked

Centroid of a window

Generate Multitype Poisson Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Convert Point Pattern Marks from Numeric to Factor

Distance Map of Point Pattern

Mark Correlation Function

Estimate the I-function

Pair Correlation Function obtained from array of K functions

The Strauss Point Process Model

Multitype K Function (i-to-any)

Evaluate Expression Involving Functions

Kaplan-Meier Estimator using Histogram Data

Cartesian Coordinates for a Pixel Raster

Prediction from a Fitted Point Process Model

Apply Vector Translation To Line Segment Pattern

Class of Fitted Point Process Models

Create a Window

Extract Quadrature Scheme Used to Fit a Point Process Model

Rotate a Line Segment Pattern

Nearest Neighbour Distance Function G

Pixel Image Approximation of a Window

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Berman-Huntington points and lines data

Sufficient Statistic of Point Process Model

Kaplan-Meier and Reduced Sample Estimator using Histograms

Orientation Angles of Line Segments

Mean Pixel Value in an Image

Plot a plotppm Object Created by plot.ppm

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

Estimate the J-function

Convert to Pixel Image

Distance to Boundary of Window

complement.owin

Take Complement of a Window

Determine Whether One Window is Contained In Another

Crossing Points of Two Line Segment Patterns

Print Brief Details of a Spatial Window

Diameter of a Window Frame

Class of Point Patterns

Random Re-Labelling of Point Pattern

Generic Ord Interaction model

Set or Reset the Marks in a Point Pattern

Test Whether Two Function Objects Are Compatible

Rotate a Window

Biological Cells Point Pattern

Longleaf Pines Point Pattern

Generate N Uniform Random Points

Pine saplings in Finland.

The Spatstat Package

Apply Function to Every Neighbourhood in a Point Pattern

Pairwise distances

Kernel Smoothing of Line Segment Pattern

Convert Pixel Image from Numeric to Factor

Profile Maximum Pseudolikelihood

Distance Map of Line Segment Pattern

Pairwise distances between line segments

Level Set of a Pixel Image

Simulate Matern Model II

Interaction Distance of a Point Process

Update a Fitted Point Process Model

Estimate the empty space function F

Simulate point patterns using the Metropolis-Hastings algorithm.

The Lennard-Jones Potential

Summarise Marks in Every Neighbourhood in a Point Pattern

Create a Line Segment Pattern

Stratified random point pattern

Data and Code From JRSS Discussion Paper on Residuals

Diggle-Gratton model

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

Generic Pairwise Interaction model

Reduced Second Moment Measure

Expand Window By Factor

Poisson Point Process Model

Dilate a Window

Method of Minimum Contrast

Area of a Window

Test Whether An Object Is A Pixel Image

Print Brief Details of an Image

Saturated Pairwise Interaction Point Process Family

Print a Quadrature Scheme

Convert Data To Class psp

Pairwise distances between two different point patterns

Simple Sequential Inhibition

Simulate Matern Model I

Union of Data and Dummy Points

Plot a Function Array

Swedish Pines Point Pattern

California Redwoods Point Pattern (Ripley's Subset)

Summarizing a Quadrature Scheme

Data Frames of Function Values

Multitype J Function (i-to-j)

Basis for Harmonic Functions

Compute Quadrature Weights Based on Grid Counts

Extract Subset of Function Values

Estimate window from points alone

The Strauss / Hard Core Point Process Model

Create a Pixel Image Object

Nearest neighbour distances

Reduced Sample Estimator using Histogram Data

Ord's Interaction model

Artificial Data Point Pattern

Class of Quadrature Schemes

Test Whether Two Pixel Images Are Compatible

pairdist.default

Pairwise distances

Randomly Shift a Line Segment Pattern

Set Covariance of a Window

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

Set Control Parameters for Metropolis-Hastings Algorithm.

Simulation envelopes of summary function

Create a Point Pattern

Fit Point Process Model to Data

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

Spruces Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Kernel Smoothed Intensity of Point Pattern

Generate N Random Points

Geyer's Saturation Point Process Model

Extract Unique Points from a Spatial Point Pattern

Multitype J Function (i-to-any)

Extract Original Data from a Fitted Point Process Model

Inhomogeneous Multitype K Dot Function

Extract Subset of Image

Multitype K Function (Cross-type)

The Multitype Strauss Point Process Model

Simulate Thomas Process

Inhomogeneous K-function

Determine Initial State for Metropolis-Hastings Simulation.

Areas of Morphological Erosions

Convert Pixel Image to Matrix

plot a Fitted Point Process Model

Extract Dummy Points Used to Fit a Point Process Model

Marked K-Function

Hutchings' Bramble Canes data

Extract Subset of Function Array

Apply Affine Transformation To Line Segment Pattern

Convert Data To Class owin

Pairwise distances

Lurking variable plot

Apply Affine Transformation

plot a Spatial Point Pattern

crossdist.default

Pairwise distances between two different sets of points

Pair Correlation Function

Concatenate x,y Coordinate Vectors

Print Brief Details of a Line Segment Pattern Dataset

Coefficients of Fitted Point Process Model

Pairwise distances between two different line segment patterns

spatstat-deprecated

Deprecated spatstat functions

Aherne's hamster tumour data

Extract Subset of Line Segment Pattern

Calculate Statistic for All Types in a Multitype Point Pattern

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Apply Vector Translation To Pixel Image

Simulate Neyman-Scott Process

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Apply Affine Transformation To Window

plot a Spatial Line Segment Pattern

Lengths of Line Segments

Generate Poisson Random Line Process

Summarizing a Fitted Point Process Model

ANOVA for Fitted Point Process Models

Calculate four standard summary functions of a point pattern.

Apply Vector Translation To Point Pattern

nearest.raster.point

Find Pixel Nearest to a Given Point

multiplicity.ppp

Count Multiplicity of Duplicate Points

Simulate Baddeley-Silverman Cell Process

Residuals for Fitted Point Process Model

Identify Points in a Point Pattern

Summary of a Line Segment Pattern Dataset

K-function using FFT

Rectangular grid of points

Distance Map of Window

Endpoints of Line Segment Pattern

Test Whether Points Are Inside A Window

Test Whether An Object Is A Point Pattern

Test Whether Marks Are Present

Test Whether An Object Is A Fitted Point Process Model

Intersection or Union of Two Windows

Generate a Default Pattern of Dummy Points

Summarizing a Pixel Image

Plot a Pixel Image

Japanese Pines Point Pattern

Inhomogeneous Cross K Function

Simulated Point Pattern

Fit the Matern Cluster Point Process by Minimum Contrast

Q-Q Plot of Residuals from Fitted Point Process Model

Pairwise distances

Spokes pattern of dummy points

Convert Data To Class ppp

plot a Spatial Quadrature Scheme

Bounding Box of a Window

Quadrat counting for a point pattern

Summary of a Spatial Window

Class of Images

spatstat-internal

Internal spatstat functions

New Zealand Trees Point Pattern

Lansing Woods Point Pattern

Nearest-Neighbour Correlation of Marked Point Pattern

Window in Shape of Letter R

Chorley-Ribble Cancer Data

Remove Marks from a Marked Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Determine Duplicated Points in a Spatial Point Pattern

Randomly Shift a Point Pattern

Plot a Spatial Window

Generate Poisson Point Pattern

Nearest neighbour

Superimpose Several Point Patterns

Evaluate Expression Involving Pixel Images

Simulate from a Fitted Point Process Model

Marked J Function

Test Whether An Object Is A Window

Plot a List of Point Patterns

Beta Ganglion Cells in Cat Retina, Old Version

Generate N Random Multitype Points

Apply Vector Translation

Apply Vector Translation To Window

Divide Point Pattern into Sub-patterns

Hughes' Amacrine Cell Data

Simulate Matern Cluster Process

rshift.splitppp

Randomly Shift a List of Point Patterns

Histogram of Pixel Values in an Image

Random Thinning

spatstat.options

Internal Options in Spatstat Package

Systematic random point pattern

Extract or Replace Subset of Point Pattern

Fit the Thomas Point Process by Minimum Contrast

Perspective Plot of Pixel Image

Plot Function Valuesn

Pair Correlation Function obtained from K Function

Pair Correlation Function of Point Pattern

selfcrossing.psp

Crossing Points in a Line Segment Pattern

California Redwoods Point Pattern (Entire Dataset)

Print Brief Details of a Point Pattern Dataset

The Soft Core Point Process Model

Read Point Pattern From Data File

Generate a Quadrature Scheme from a Point Pattern

Sample Quantiles of Pixel Image

Apply Affine Transformation To Point Pattern

Harkness-Isham ants' nests data

rescue.rectangle

Convert Window Back To Rectangle

Distance to Boundary of Window

Fitted Conditional Intensity for Point Process Model

Rotate a Point Pattern

Function Arrays for Spatial Patterns

Humberside Data on Childhood Leukaemia and Lymphoma

Test Whether A Point Process Model is Marked

Ord Interaction Process Family

Print a Fitted Point Process Model

Class of Line Segment Patterns

Summary of a Point Pattern Dataset