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spatstat (version 1.14-2)

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

17,668

Version

1.14-2

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 22nd, 2025

Functions in spatstat (1.14-2)

Perfect Simulation of the Strauss Process

Perspective Plot of Pixel Image

Rotate a Window

Plot a List of Point Patterns

Random Thinning

Randomly Shift a Point Pattern

Pairwise distances

Class of Quadrature Schemes

Pair Correlation Function obtained from array of K functions

Apply Vector Translation To Pixel Image

Plot a tessellation

Generate a Quadrature Scheme from a Point Pattern

Simulate Neyman-Scott Process

Extract Subset of Image

Convert Line Segment Pattern to Another Unit of Length

Generate grid of parallel lines with random displacement

plot a Spatial Line Segment Pattern

California Redwoods Point Pattern (Entire Dataset)

plot a Fitted Point Process Model

Pairwise distances between line segments

Ponderosa Pine Tree Point Pattern

Random Perturbation of a Point Pattern

Extract or Replace Subset of Tessellation

Quadrature Scheme Based on Pixel Grid

Spruces Point Pattern

Print a Quadrature Scheme

Generate N Uniform Random Points

Summarizing a Pixel Image

Print Progress Reports

Extract or Replace Subset of Point Pattern

Extract Unique Points from a Spatial Point Pattern

Create a Line Segment Pattern

Prediction from a Fitted Cluster Point Process Model

Print a Fitted Point Process Model

Simulate Matern Model II

Extract or Replace Subset of a List of Things

rescue.rectangle

Convert Window Back To Rectangle

Summary of a List of Things

Reduced Sample Estimator using Histogram Data

Estimate window from points alone

Convert Point Pattern to Another Unit of Length

plot a Spatial Quadrature Scheme

Convert Pixel Image to Another Unit of Length

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Plot a List of Things

Update a Fitted Point Process Model

Interpret Fitted Model for Metropolis-Hastings Simulation.

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Plot a plotppm Object Created by plot.ppm

summary.splitppp

Summary of a Split Point Pattern

Plot a Function Array

Plot a Spatial Window

Pair Correlation Function

Fit the Thomas Point Process by Minimum Contrast

Data and Code From JRSS Discussion Paper on Residuals

Class of Line Segment Patterns

Determine Initial State for Metropolis-Hastings Simulation.

Print Brief Details of a Line Segment Pattern Dataset

Subset of Quadrature Scheme

Apply Vector Translation To Line Segment Pattern

Generate N Random Points

Remove Marks from a Marked Point Pattern

Simulate Simple Sequential Inhibition

Simulate Matern Cluster Process

Pair Correlation Function obtained from K Function

pairwise.family

Pairwise Interaction Process Family

Apply Vector Translation To Point Pattern

Simulate Thomas Process

Convert dataset to another unit of length

Rotate a Point Pattern

Urkiola Woods Point Pattern

Reset Values in Subset of Image

plot a Spatial Point Pattern

Generate Poisson Point Pattern

plot.hyperframe

Plot Entries in a Hyperframe

Saturated Pairwise Interaction Point Process Family

Variance-Covariance Matrix for a Fitted Point Process Model

Class of Fitted Point Process Models

spatstat.options

Internal Options in Spatstat Package

Generate Multitype Poisson Point Pattern

Simulated Point Pattern

Pairwise distances

Plot a fitted cluster point process

Interaction Distance of a Point Process

Extract Subset of Line Segment Pattern

Summarizing a Fitted Point Process Model

Distance Between Two Point Patterns

Summary of a Line Segment Pattern Dataset

Superimpose Several Point Patterns

Convert Window to Another Unit of Length

Generate N Uniform Random Points in a Disc

Simulate a fitted cluster point process model.

Cut margins from rectangle

Print Brief Details of a Point Pattern Dataset

Class of Point Patterns

Read Point Pattern From Data File

Residuals for Fitted Point Process Model

Create a Point Matching

Plot Function Valuesn

Name for Unit of Length

rshift.splitppp

Randomly Shift a List of Point Patterns

Profile Maximum Pseudolikelihood

Define Point Process Model for Metropolis-Hastings Simulation.

Set Covariance of a Window

Print Brief Details of a Spatial Window

Set or Reset the Marks in a Point Pattern

Simulate Stratified Random Point Pattern

Plot a Pixel Image

Simulate systematic random point pattern

Simulate Gauss-Poisson Process

Q-Q Plot of Residuals from Fitted Point Process Model

Print Brief Details of an Image

Evaluate an Expression in a Function Table

Sufficient Statistic of Point Process Model

Fit Point Process Model to Data

Swedish Pines Point Pattern

Sample Quantiles of Pixel Image

Apply Vector Translation To Window

Simulate Matern Model I

Generate N Random Multitype Points

Union of Data and Dummy Points

Extract List of Tiles in a Tessellation

California Redwoods Point Pattern (Ripley's Subset)

Spatial smoothing of observations at irregular points

Compute Integral of Function Against Cumulative Distribution

Define Point Process Model for Metropolis-Hastings Simulation.

Extract Subset of Function Values

Randomly Shift a Line Segment Pattern

Simulate Baddeley-Silverman Cell Process

Prediction from a Fitted Point Process Model

Set Control Parameters for Metropolis-Hastings Algorithm.

Quadrat counting for a point pattern

Random Re-Labelling of Point Pattern

Rotate a Line Segment Pattern

Generate Poisson Random Line Process

Geyer's Saturation Point Process Model

Summarizing a Quadrature Scheme

Apply Vector Translation

Update a Fitted Cluster Point Process Model

Spokes pattern of dummy points

Summary of a Point Pattern Dataset

Pair Correlation Function of Point Pattern

Vertices of a Window

selfcrossing.psp

Crossing Points in a Line Segment Pattern

subset.splitppp

Extract or Replace Sub-Patterns

Marked K-Function

Cartesian Coordinates for a Pixel Raster

The Strauss Point Process Model

Multitype J Function (i-to-any)

Simulate from a Fitted Point Process Model

Create a Point Pattern

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

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

Apply Gaussian Blur to a Pixel Image

Extract Subset of Function Array

Dilate a Window

Distance to Boundary of Window

Distance to Boundary of Window

Multitype J Function (i-to-j)

Basis for Harmonic Functions

Fit cluster point process model

Multitype pair correlation function

Test whether Object is Multitype

Test Whether An Object Is A Window

Nearest neighbour

Estimate the empty space function F

Interactively Add Points

The Area Interaction Point Process Model

pppmatching.object

Class of Point Matchings

Extract Quadrature Scheme Used to Fit a Point Process Model

Kolmogorov-Smirnov Test for Point Process Model

Convert to Pixel Image

The Piecewise Constant Pairwise Interaction Point Process Model

Circular Window

Distance Map of Line Segment Pattern

Reduced Second Moment Measure

Lansing Woods Point Pattern

Weighted Empirical Cumulative Distribution Function

Convert Pixel Image to Matrix

Apply Affine Transformation To Window

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

Generate a Default Pattern of Dummy Points

Poisson Point Process Model

Longleaf Pines Point Pattern

Calculate four standard summary functions of a point pattern.

Ord's Interaction model

nearest.raster.point

Find Pixel Nearest to a Given Point

Inhomogeneous K-function

Areas of Morphological Erosions

Apply Affine Transformation To Point Pattern

compatible.fasp

Test Whether Two Function Arrays Are Compatible

Apply a Function to a Point Pattern Broken Down by Factor

Convert Data To Class ppp

Corners of a rectangle

Point Patterns of New Brunswick Forest Fires

Marked J Function

Hutchings' Bramble Canes data

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Nearest neighbour distances

Generic Ord Interaction model

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

Simulate point patterns using the Metropolis-Hastings algorithm.

Saturated Pairwise Interaction model

Concatenate x,y Coordinate Vectors

spatstat-deprecated

Deprecated spatstat functions

Beadlet Anemones Data

Convert Pixel Image from Numeric to Factor

Classify Points in a Point Pattern

Level Set of a Pixel Image

Extract Original Data from a Fitted Point Process Model

Ord Interaction Process Family

Divide Point Pattern into Sub-patterns

Evaluate Expression Involving Function Arrays

Diameter of a Window

Summarise Marks in Every Neighbourhood in a Point Pattern

Evaluate an Expression in Each Row of a Hyperframe

Aherne's hamster tumour data

inforder.family

Infinite Order Interaction Family

Apply Affine Transformation

Test Whether A Point Pattern is Marked

Nearest neighbour distances between line segments

Kernel Smoothing of Line Segment Pattern

Bounding Box of a Window or Point Pattern

Summary of a Spatial Window

Biological Cells Point Pattern

Create a Tessellation

Exponential Energy Marks

K-function using FFT

Test Whether Marks Are Present

The Strauss / Hard Core Point Process Model

Tropical rain forest trees

Extract Dummy Points Used to Fit a Point Process Model

Coefficients of Fitted Point Process Model

Estimate the J-function

Expand Window By Factor

Beta Ganglion Cells in Cat Retina, Old Version

Data Frames of Function Values

spatstat-internal

Internal spatstat functions

Log Likelihood for Poisson Point Process Model

Pine saplings in Finland.

Identify Points in a Point Pattern

multiplicity.ppp

Count Multiplicity of Duplicate Points

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Area of a Window

Compute Quadrature Weights Based on Grid Counts

Apply Function to Every Neighbourhood in a Point Pattern

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

Orientation Angles of Line Segments

Multitype K Function (i-to-any)

Test Whether A Point Process Model is Marked

The Spatstat Package

Test Whether Two Function Objects Are Compatible

Contour plot of pixel image

Simulation envelopes of summary function

Artificial Data Point Pattern

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Evaluate Expression Involving Functions

Multitype L-function (cross-type)

Lurking variable plot

Window in Shape of Letter R

Determine Duplicated Points in a Spatial Point Pattern

Dirichlet Tessellation of Point Pattern

The Multitype Strauss Point Process Model

Diggle-Gratton model

Apply Affine Transformation To Line Segment Pattern

Test Whether An Object Is A Pixel Image

Rectangular grid of points

Convert Data To Class psp

Calculate Summary Statistic for All Types in a Multitype Point Pattern

model.matrix.ppm

Extract Design Matrix from Point Process Model

ANOVA for Fitted Point Process Models

crossdist.default

Pairwise distances between two different sets of points

Hughes' Amacrine Cell Data

Pixel Image Approximation of a Window

Harkness-Isham ants' nests data

Humberside Data on Childhood Leukaemia and Lymphoma

pairdist.default

Pairwise distances

Convert Polygonal Region into Different Format

Combine Two Line Segment Patterns

The Soft Core Point Process Model

Difference of Disc Areas

Endpoints of Line Segment Pattern

Estimate the I-function

Interactively Define a Polygon

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Clark and Evans Aggregation Index

Generic Pairwise Interaction model

Determine Whether One Window is Contained In Another

Fitted Conditional Intensity for Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Beta Ganglion Cells in Cat Retina

Convex Hull of Points

bounding.box.xy

Convex Hull of Points

Function Arrays for Spatial Patterns

Berman-Huntington points and lines data

Pairwise distances

Interpolate a Pixel Image

New Zealand Trees Point Pattern

Fit the Matern Cluster Point Process by Minimum Contrast

Hybrid Geyer Point Process Model

Chorley-Ribble Cancer Data

Safely Convert Point Pattern Window to Binary Mask

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Diagnostic Plots for Fitted Point Process Model

Create a Pixel Image Object

Hyper Data Frame

Test Whether Two Pixel Images Are Compatible

Histogram of Pixel Values in an Image

Distance Map of Point Pattern

Distance Map of Window

Kaplan-Meier and Reduced Sample Estimator using Histograms

Pairwise distances between two different point patterns

Kernel Smoothed Intensity of Point Pattern

Intersection or Union of Two Windows

Nearest Neighbour Distance Function G

Test Whether Points Are Inside A Window

Inhomogeneous Multitype K Dot Function

Midpoints of Line Segment Pattern

Multitype L-function (i-to-any)

complement.owin

Take Complement of a Window

Kaplan-Meier Estimator using Histogram Data

Lengths of Line Segments

Compute Fitted Effect of a Spatial Covariate in a Point Process Model

Create a Window

Class of Images

The Lennard-Jones Potential

Crossing Points of Two Line Segment Patterns

Nearest-Neighbour Correlation of Marked Point Pattern

Mark Correlation Function

Nearest Neighbour in Another Point Pattern

Marked Nearest Neighbour Distance Function

Mean Pixel Value in an Image

Convert Data To Class owin

Inhomogeneous Cross K Function

Multitype K Function (Cross-type)

Centroid of a window

Compute Images of Constructed Covariates

Pairwise distances between two different line segment patterns

Evaluate Expression Involving Pixel Images

Delaunay Triangulation of Point Pattern

Test Whether An Object Is A Point Pattern

Neighbourhood density function

Extract the Interaction from a Fitted Point Process Model

Distance for a Point Pattern Matching

Test Whether An Object Is A Fitted Point Process Model

Japanese Pines Point Pattern

Murchison gold deposits

Method of Minimum Contrast