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spatstat (version 1.9-1)

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, 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

1.9-1

License

GPL version 2 or newer

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.9-1)

Geyer's Saturation Point Process Model

Beta Ganglion Cells in Cat Retina

Pixel Image Approximation of a Window

Calculate Statistic for All Types in a Multitype Point Pattern

Pairwise distances between two different line segment patterns

Kernel Smoothing of Line Segment Pattern

Generate a Default Pattern of Dummy Points

spatstat-deprecated

Deprecated spatstat functions

Diameter of a Window Frame

spatstat-internal

Internal spatstat functions

Evaluate Expression Involving Pixel Images

Basis for Harmonic Functions

Test Whether An Object Is A Window

Longleaf Pines Point Pattern

Class of Fitted Point Process Models

ANOVA for Fitted Point Process Models

Saturated Pairwise Interaction model

Nearest neighbour distances

Simulation envelopes of summary function

Random Re-Labelling of Point Pattern

Distance Map of Window

Convert to Pixel Image

Convert Pixel Image to Matrix

Test Whether Two Function Objects Are Compatible

Plot Function Valuesn

Method of Minimum Contrast

Aherne's hamster tumour data

Nearest neighbour

plot a Spatial Quadrature Scheme

Fit the Thomas Point Process by Minimum Contrast

crossdist.default

Pairwise distances between two different sets of points

Print Brief Details of a Spatial Window

Ord's Interaction model

Generic Pairwise Interaction model

Diagnostic Plots for Fitted Point Process Model

Data Frames of Function Values

Function Arrays for Spatial Patterns

Print a Fitted Point Process Model

Randomly Shift a Point Pattern

Plot a Spatial Window

Beta Ganglion Cells in Cat Retina, Old Version

Kaplan-Meier Estimator using Histogram Data

Generate Multitype Poisson Point Pattern

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Extract Subset of Function Values

Class of Point Patterns

Set Covariance of a Window

Mean Pixel Value in an Image

Create a Window

Stratified random point pattern

Apply Vector Translation To Line Segment Pattern

Pair Correlation Function obtained from array of K functions

Summarizing a Fitted Point Process Model

Prediction from a Fitted Point Process Model

Summary of a Spatial Window

Q-Q Plot of Residuals from Fitted Point Process Model

Multitype K Function (Cross-type)

The Soft Core Point Process Model

Interaction Distance of a Point Process

Harkness-Isham ants' nests data

Apply Vector Translation To Window

Apply Affine Transformation To Line Segment Pattern

Test Whether An Object Is A Point Pattern

pairwise.family

Pairwise Interaction Process Family

Reduced Sample Estimator using Histogram Data

Remove Marks from a Marked Point Pattern

Marked K-Function

Estimate the J-function

Multitype J Function (i-to-any)

Generic Ord Interaction model

Apply Affine Transformation

Convert Data To Class psp

Convert Data To Class ppp

Hughes' Amacrine Cell Data

Area of a Window

Endpoints of Line Segment Pattern

complement.owin

Take Complement of a Window

Extract Original Data from a Fitted Point Process Model

New Zealand Trees Point Pattern

Coefficients of Fitted Point Process Model

Evaluate Expression Involving Functions

Estimate the empty space function F

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

K-function using FFT

Bounding Box of a Window

Lurking variable plot

Dilate a Window

Simulate Matern Model II

Midpoints of Line Segment Pattern

Plot a plotppm Object Created by plot.ppm

Simulate Matern Cluster Process

Generate N Random Multitype Points

Mark Correlation Function

Class of Quadrature Schemes

Random Thinning

Saturated Pairwise Interaction Point Process Family

Identify Points in a Point Pattern

Simulated Point Pattern

Pairwise distances

Generate a Quadrature Scheme from a Point Pattern

Fit the Matern Cluster Point Process by Minimum Contrast

Lengths of Line Segments

Generate N Random Points

nearest.raster.point

Find Pixel Nearest to a Given Point

Test Whether An Object Is A Pixel Image

rshift.splitppp

Randomly Shift a List of Point Patterns

Extract or Replace Subset of Point Pattern

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

Data and Code From JRSS Discussion Paper on Residuals

Set or Reset the Marks in a Point Pattern

Poisson Point Process Model

Calculate four standard summary functions of a point pattern.

Marked J Function

Centroid of a window

Concatenate x,y Coordinate Vectors

Hutchings' Bramble Canes data

Superimpose Several Point Patterns

Nearest Neighbour Distance Function G

Reduced Second Moment Measure

Test Whether Two Pixel Images Are Compatible

Apply Affine Transformation To Window

Chorley-Ribble Cancer Data

Distance Map of Point Pattern

Determine Duplicated Points in a Spatial Point Pattern

Test Whether Points Are Inside A Window

Convert Point Pattern Marks from Numeric to Factor

Test Whether A Point Process Model is Marked

Nearest-Neighbour Correlation of Marked Point Pattern

Pairwise distances

Rotate a Point Pattern

Plot a Pixel Image

Areas of Morphological Erosions

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Fit Point Process Model to Data

Sufficient Statistic of Point Process Model

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

Print Brief Details of a Point Pattern Dataset

Simulate from a Fitted Point Process Model

Cartesian Coordinates for a Pixel Raster

Simulate point patterns using the Metropolis-Hastings algorithm.

Diggle-Gratton model

Multitype J Function (i-to-j)

The Strauss / Hard Core Point Process Model

Marked Nearest Neighbour Distance Function

Distance to Boundary of Window

Inhomogeneous Cross K Function

The Piecewise Constant Pairwise Interaction Point Process Model

Test Whether Marks Are Present

Crossing Points of Two Line Segment Patterns

The Spatstat Package

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

Convert Pixel Image from Numeric to Factor

Apply Affine Transformation To Point Pattern

The Lennard-Jones Potential

Distance Map of Line Segment Pattern

Extract Dummy Points Used to Fit a Point Process Model

Distance to Boundary of Window

Orientation Angles of Line Segments

Compute Quadrature Weights Based on Grid Counts

Histogram of Pixel Values in an Image

Convert Data To Class owin

Summarise Marks in Every Neighbourhood in a Point Pattern

Simulate Neyman-Scott Process

Estimate the I-function

Kaplan-Meier and Reduced Sample Estimator using Histograms

Apply Function to Every Neighbourhood in a Point Pattern

Level Set of a Pixel Image

Inhomogeneous K-function

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Window in Shape of Letter R

Class of Line Segment Patterns

Pair Correlation Function obtained from K Function

Humberside Data on Childhood Leukaemia and Lymphoma

multiplicity.ppp

Count Multiplicity of Duplicate Points

Extract Subset of Function Array

Intersection or Union of Two Windows

Pine saplings in Finland.

Pair Correlation Function of Point Pattern

California Redwoods Point Pattern (Ripley's Subset)

Corners of a rectangle

Combine Two Line Segment Patterns

The Strauss Point Process Model

Determine Whether One Window is Contained In Another

Test Whether A Point Pattern is Marked

Generate Poisson Random Line Process

Ord Interaction Process Family

The Multitype Strauss Point Process Model

Biological Cells Point Pattern

Expand Window By Factor

Multitype K Function (i-to-any)

Apply Vector Translation To Point Pattern

Sample Quantiles of Pixel Image

plot a Fitted Point Process Model

Simple Sequential Inhibition

Inhomogeneous Multitype K Dot Function

Rotate a Window

Class of Images

Lansing Woods Point Pattern

Kernel Smoothed Intensity of Point Pattern

Pairwise distances between two different point patterns

Japanese Pines Point Pattern

Rectangular grid of points

Test Whether An Object Is A Fitted Point Process Model

Print Brief Details of an Image

rescue.rectangle

Convert Window Back To Rectangle

plot a Spatial Point Pattern

plot a Spatial Line Segment Pattern

Plot a List of Point Patterns

Extract Subset of Image

Generate Poisson Point Pattern

pairdist.default

Pairwise distances

Define Point Process Model for Metropolis-Hastings Simulation.

Apply Vector Translation

Spokes pattern of dummy points

Apply Vector Translation To Pixel Image

Divide Point Pattern into Sub-patterns

Create a Line Segment Pattern

Extract Quadrature Scheme Used to Fit a Point Process Model

Pair Correlation Function

Berman-Huntington points and lines data

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Summary of a Line Segment Pattern Dataset

Generate N Uniform Random Points

Simulate Thomas Process

Create a Point Pattern

Variance-Covariance Matrix for a Fitted Point Process Model

Set Control Parameters for Metropolis-Hastings Algorithm.

Print a Quadrature Scheme

Fitted Conditional Intensity for Point Process Model

California Redwoods Point Pattern (Entire Dataset)

Estimate window from points alone

Create a Pixel Image Object

Simulate Matern Model I

Pairwise distances

Read Point Pattern From Data File

Union of Data and Dummy Points

Extract Unique Points from a Spatial Point Pattern

Artificial Data Point Pattern

Extract Subset of Line Segment Pattern

Print Brief Details of a Line Segment Pattern Dataset

Spruces Point Pattern

Pairwise distances between line segments

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

Quadrat counting for a point pattern

Randomly Shift a Line Segment Pattern

Simulate Baddeley-Silverman Cell Process

Plot a Function Array

Residuals for Fitted Point Process Model

Exponential Energy Marks

Swedish Pines Point Pattern

Summary of a Point Pattern Dataset

Rotate a Line Segment Pattern

Summarizing a Quadrature Scheme

spatstat.options

Internal Options in Spatstat Package

Update a Fitted Point Process Model

Systematic random point pattern

Summarizing a Pixel Image