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spatstat (version 1.11-0)

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

17,668

Version

1.11-0

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.11-0)

Geyer's Saturation Point Process Model

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

Marked K-Function

The Soft Core Point Process Model

Generate a Default Pattern of Dummy Points

Multitype K Function (Cross-type)

Inhomogeneous Multitype K Dot Function

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Calculate Statistic for All Types in a Multitype Point Pattern

Apply Affine Transformation To Window

Combine Two Line Segment Patterns

Convert to Pixel Image

Convert Pixel Image to Matrix

Test Whether Marks Are Present

Distance Map of Line Segment Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Interactively Add Points

Extract Dummy Points Used to Fit a Point Process Model

Test Whether Two Function Objects Are Compatible

Test Whether A Point Process Model is Marked

Test whether Object is Multitype

Orientation Angles of Line Segments

Apply Affine Transformation

plot a Fitted Point Process Model

Centroid of a window

Convert Data To Class owin

Create a Point Pattern

Optimal Match Between Two Point Patterns

Inhomogeneous Cross K Function

Ord's Interaction model

The Piecewise Constant Pairwise Interaction Point Process Model

Determine Duplicated Points in a Spatial Point Pattern

Class of Quadrature Schemes

Plot a List of Point Patterns

Generate a Quadrature Scheme from a Point Pattern

Class of Images

Mean Pixel Value in an Image

Set Control Parameters for Metropolis-Hastings Algorithm.

Summary of a Line Segment Pattern Dataset

Generate N Uniform Random Points in a Disc

spatstat-internal

Internal spatstat functions

Harkness-Isham ants' nests data

Perspective Plot of Pixel Image

multiplicity.ppp

Count Multiplicity of Duplicate Points

Coefficients of Fitted Point Process Model

Rotate a Window

Plot a Pixel Image

Test Whether Points Are Inside A Window

Extract Subset of Line Segment Pattern

Dilate a Window

Plot a plotppm Object Created by plot.ppm

Rotate a Line Segment Pattern

Hughes' Amacrine Cell Data

Hutchings' Bramble Canes data

subset.splitppp

Extract or Replace Sub-Patterns

Exponential Energy Marks

Pairwise distances between two different point patterns

Kaplan-Meier Estimator using Histogram Data

Set or Reset the Marks in a Point Pattern

Create a Pixel Image Object

Test Whether An Object Is A Window

Summarise Marks in Every Neighbourhood in a Point Pattern

Lurking variable plot

Profile Maximum Pseudolikelihood

Diggle-Gratton model

Pairwise distances between line segments

Reduced Sample Estimator using Histogram Data

Multitype K Function (i-to-any)

Simulate point patterns using the Metropolis-Hastings algorithm.

Fit Point Process Model to Data

Rectangular grid of points

Generate N Random Multitype Points

Humberside Data on Childhood Leukaemia and Lymphoma

rshift.splitppp

Randomly Shift a List of Point Patterns

Pair Correlation Function obtained from array of K functions

Pairwise distances

Longleaf Pines Point Pattern

Method of Minimum Contrast

Saturated Pairwise Interaction model

Interaction Distance of a Point Process

Plot a Spatial Window

Random Re-Labelling of Point Pattern

Multitype J Function (i-to-j)

Diameter of a Window Frame

Kernel Smoothing of Line Segment Pattern

Plot Function Valuesn

Simulate Neyman-Scott Process

Simulate Stratified Random Point Pattern

Berman-Huntington points and lines data

Crossing Points of Two Line Segment Patterns

Apply Vector Translation To Point Pattern

Pairwise distances

Data and Code From JRSS Discussion Paper on Residuals

Kernel Smoothed Intensity of Point Pattern

summary.splitppp

Summary of a Split Point Pattern

Summarizing a Pixel Image

Define Point Process Model for Metropolis-Hastings Simulation.

Extract or Replace Subset of a List of Things

Update a Fitted Point Process Model

Pairwise distances

Saturated Pairwise Interaction Point Process Family

Ord Interaction Process Family

Test Whether Two Pixel Images Are Compatible

Extract Subset of Function Array

Class of Line Segment Patterns

spatstat-deprecated

Deprecated spatstat functions

Estimate the empty space function F

Summary of a Point Pattern Dataset

The Strauss Point Process Model

Marked Nearest Neighbour Distance Function

Test Whether An Object Is A Fitted Point Process Model

Evaluate Expression Involving Functions

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Endpoints of Line Segment Pattern

Multitype J Function (i-to-any)

Extract Original Data from a Fitted Point Process Model

Test Whether A Point Pattern is Marked

Test Whether An Object Is A Point Pattern

Simulate Baddeley-Silverman Cell Process

Expand Window By Factor

Level Set of a Pixel Image

Fit the Matern Cluster Point Process by Minimum Contrast

Estimate window from points alone

Apply Vector Translation To Window

Plot a Function Array

Beta Ganglion Cells in Cat Retina, Old Version

Reduced Second Moment Measure

Calculate four standard summary functions of a point pattern.

Japanese Pines Point Pattern

Pair Correlation Function of Point Pattern

Convert Point Pattern Marks from Numeric to Factor

New Zealand Trees Point Pattern

Create a Window

Create a Line Segment Pattern

Simulate from a Fitted Point Process Model

Print Brief Details of a Point Pattern Dataset

Histogram of Pixel Values in an Image

pairwise.family

Pairwise Interaction Process Family

Print Brief Details of a Line Segment Pattern Dataset

Areas of Morphological Erosions

Generate N Uniform Random Points

Distance to Boundary of Window

Extract Subset of Image

Summarizing a Quadrature Scheme

Summary of a List of Things

plot a Spatial Line Segment Pattern

Pine saplings in Finland.

Class of Point Patterns

Basis for Harmonic Functions

Superimpose Several Point Patterns

Tropical rain forest trees

Distance to Boundary of Window

Identify Points in a Point Pattern

Convert dataset to another unit of length

Convert Line Segment Pattern to Another Unit of Length

Nearest Neighbour Distance Function G

Window in Shape of Letter R

Evaluate Expression Involving Pixel Images

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

Apply Vector Translation To Pixel Image

Estimate the I-function

Marked J Function

Print a Quadrature Scheme

Apply Vector Translation

Pair Correlation Function obtained from K Function

Extract Quadrature Scheme Used to Fit a Point Process Model

Simulate Matern Cluster Process

Print a Fitted Point Process Model

Biological Cells Point Pattern

Simulate Simple Sequential Inhibition

Inhomogeneous K-function

Cartesian Coordinates for a Pixel Raster

The Lennard-Jones Potential

The Multitype Strauss Point Process Model

Residuals for Fitted Point Process Model

Print Brief Details of a Spatial Window

Apply Affine Transformation To Line Segment Pattern

California Redwoods Point Pattern (Ripley's Subset)

Poisson Point Process Model

rescue.rectangle

Convert Window Back To Rectangle

Convert Data To Class ppp

Chorley-Ribble Cancer Data

Simulate systematic random point pattern

Name for Unit of Length

spatstat.options

Internal Options in Spatstat Package

Summary of a Spatial Window

Beta Ganglion Cells in Cat Retina

Pairwise distances between two different line segment patterns

Determine Whether One Window is Contained In Another

Nearest-Neighbour Correlation of Marked Point Pattern

Pair Correlation Function

Nearest neighbour distances

Mark Correlation Function

Prediction from a Fitted Point Process Model

Sample Quantiles of Pixel Image

Divide Point Pattern into Sub-patterns

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

Simulated Point Pattern

Spruces Point Pattern

Read Point Pattern From Data File

Perfect Simulation of the Strauss Process

Area of a Window

Sufficient Statistic of Point Process Model

Generate Poisson Random Line Process

Bounding Box of a Window

Variance-Covariance Matrix for a Fitted Point Process Model

plot a Spatial Quadrature Scheme

Quadrat counting for a point pattern

Q-Q Plot of Residuals from Fitted Point Process Model

Generate Multitype Poisson Point Pattern

Generate N Random Points

Randomly Shift a Point Pattern

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

Convert Pixel Image from Numeric to Factor

Artificial Data Point Pattern

Distance Map of Point Pattern

Function Arrays for Spatial Patterns

Diagnostic Plots for Fitted Point Process Model

Class of Fitted Point Process Models

Determine Initial State for Metropolis-Hastings Simulation.

Rotate a Point Pattern

Extract or Replace Subset of Point Pattern

K-function using FFT

Apply Affine Transformation To Point Pattern

crossdist.default

Pairwise distances between two different sets of points

The Spatstat Package

Estimate the J-function

Generic Pairwise Interaction model

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Fitted Conditional Intensity for Point Process Model

California Redwoods Point Pattern (Entire Dataset)

plot a Spatial Point Pattern

Summarizing a Fitted Point Process Model

Generate Poisson Point Pattern

Aherne's hamster tumour data

Intersection or Union of Two Windows

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Union of Data and Dummy Points

Nearest Neighbour in Another Point Pattern

Plot a List of Things

Kaplan-Meier and Reduced Sample Estimator using Histograms

Simulate Thomas Process

Apply Vector Translation To Line Segment Pattern

Cut margins from rectangle

Generic Ord Interaction model

Circular Window

The Strauss / Hard Core Point Process Model

Random Thinning

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Extract Subset of Function Values

Spokes pattern of dummy points

Swedish Pines Point Pattern

Simulate Matern Model II

Pixel Image Approximation of a Window

Apply Function to Every Neighbourhood in a Point Pattern

complement.owin

Take Complement of a Window

Contour plot of pixel image

Midpoints of Line Segment Pattern

Lengths of Line Segments

Convert Point Pattern to Another Unit of Length

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Extract Unique Points from a Spatial Point Pattern

Remove Marks from a Marked Point Pattern

ANOVA for Fitted Point Process Models

Corners of a rectangle

Distance Map of Window

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Lansing Woods Point Pattern

Nearest neighbour

nearest.raster.point

Find Pixel Nearest to a Given Point

Print Brief Details of an Image

Simulate Matern Model I

Convert Window to Another Unit of Length

Randomly Shift a Line Segment Pattern

Fit the Thomas Point Process by Minimum Contrast

Convert Data To Class psp

Concatenate x,y Coordinate Vectors

Data Frames of Function Values

Compute Quadrature Weights Based on Grid Counts

Simulation envelopes of summary function

pairdist.default

Pairwise distances

Test Whether An Object Is A Pixel Image

Set Covariance of a Window