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spatstat (version 1.25-0)

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. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 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, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation 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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Install

install.packages('spatstat')

Monthly Downloads

16,590

Version

1.25-0

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

December 6th, 2011

Functions in spatstat (1.25-0)

Extract Subset of Function Values

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

Diagnostics for random marking

The Hard Core Point Process Model

Extract Subset of Image

Residual K Function

Estimate the empty space function F

Subset of Quadrature Scheme

Spherical Contact Distribution Function

Multitype J Function (i-to-j)

The Soft Core Point Process Model

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

The Area Interaction Point Process Model

K function of a model

Apply Affine Transformation

Nearest Neighbour Distance Function G

Extract Subset of Signed or Vector Measure

Convert Data to Hyperframe

Calculate four standard summary functions of a point pattern.

K-function of a Three-Dimensional Point Pattern

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Inhomogeneous Cross Type L Function

Marked K-Function

Residual G Function

Marked J Function

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Reset Values in Subset of Image

Test Whether Pixel Images Are Compatible

Saturated Pairwise Interaction model

Apply a Function to a Point Pattern Broken Down by Factor

Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern

Estimate the I-function

Inhomogeneous Cross K Function

Hybrid Geyer Point Process Model

Extract.splitppp

Extract or Replace Sub-Patterns

complement.owin

Take Complement of a Window

Marked Nearest Neighbour Distance Function

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Crossing Points of Two Line Segment Patterns

The Strauss Point Process Model

Residual Diagnostics for Multiple Fitted Models

Estimate the J-function

Evaluate Expression Involving Functions

Extract Interaction Structure

Interactively join vertices on a plot

Inhomogeneous K-function

Convert Line Segment Pattern to Binary Pixel Mask

Linear Pair Correlation Function

Fitted Conditional Intensity for Point Process Model

Classify Points in a Point Pattern

Distance to Boundary of Window

Reduced Second Moment Measure

Distance to Boundary of Window

Inhomogeneous Multitype L Dot Function

Fit the Neyman-Scott cluster process with Cauchy kernel

Generic Pairwise Interaction model

Distance to Boundary of Window

Chorley-Ribble Cancer Data

Multitype L-function (i-to-any)

Convert Data To Class ppp

Piecewise Constant Saturated Pairwise Interaction Point Process Model

Hutchings' Bramble Canes data

The Multitype Strauss Point Process Model

Convex Hull of Points

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Geometrical Calculations for Multi-Dimensional Box

Convert Data To Tessellation

Combine Function Value Tables

Multitype L-function (cross-type)

Distance Map of Window

Pixel Image Approximation of a Window

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Determine Duplicated Points in a Spatial Point Pattern

Apply Affine Transformation To Line Segment Pattern

Cross Validated Bandwidth Selection for Relative Risk Estimation

Fit the Neyman-Scott cluster process with Cauchy kernel

Pine saplings in Finland.

Create a Function Value Table

Harkness-Isham ants' nests data

Convert Data To Class owin

Pairwise distances between two different line segment patterns

Colour Lookup Tables

Influence Measure for Spatial Point Process Model

Cross Validated Bandwidth Selection for Spatial Smoothing

Area of Part of Disc

Identify Segments in a Line Segment Pattern

Create a Window

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Plot a three-dimensional point pattern

crossdist.default

Pairwise distances between two different sets of points

Test Whether Points Are Inside A Window

Test Whether An Object Is A Point Pattern

edges2triangles

List Triangles in a Graph

Morphological Erosion

Apply Gaussian Blur to a Pixel Image

Intersect Infinite Straight Lines with a Window

Bounding Box of a Window or Point Pattern

Interpolate a Pixel Image

Endpoints of Line Segment Pattern

Hughes' Amacrine Cell Data

Cross Validated Bandwidth Selection for Kernel Density

Difference of Disc Areas

Test Whether Function Objects Are Compatible

Convert a Window to a Polygonal Window

Fit Point Process Model to Point Pattern on Linear Network

Methods for Multidimensional Space-Time Point Patterns

Point and Click Interface for Exploratory Analysis of Point Pattern

Test Whether An Object Is A Fitted Point Process Model

Plot a List of Things

Test whether Object is Multitype

Apply Affine Transformation To Window

Dirichlet Tessellation of Point Pattern

Convert and Compare Colours in Different Formats

Poisson Point Process Model

Apply Function to Image Broken Down by Factor

Biological Cells Point Pattern

Extract Original Data from a Fitted Point Process Model

Pool Data from Several Ratio Objects

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Histogram of Pixel Values in an Image

Kolmogorov-Smirnov Test for Point Process Model

Envelope for Point Patterns on Linear Network

Distance Map as a Function

Artificial Data Point Pattern

Pairwise distances

Compute Quadrature Weights Based on Grid Counts

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Evaluate Expression Involving Pixel Images

Clark and Evans Aggregation Index

Beadlet Anemones Data

California Redwoods Point Pattern (Entire Dataset)

Exchange X and Y Coordinates

Circumradius and Diameter of a Linear Network

Level Set of a Pixel Image

Coefficients of Fitted Point Process Model

Berman-Huntington points and lines data

Model Formulae for Gibbs Point Process Models

Delaunay Triangulation of Point Pattern

Simulation Envelopes of Summary Function

Find Largest Circle Inside Window

Exponential Energy Marks

Methods for Point Patterns on a Linear Network

Longleaf Pines Point Pattern

Concatenate x,y Coordinate Vectors

Marks of a Point Pattern

Three-Dimensional Box

compatible.fasp

Test Whether Function Arrays Are Compatible

Contour plot of pixel image

Weighted Empirical Cumulative Distribution Function

spatstat-deprecated

Deprecated spatstat functions

Function Arrays for Spatial Patterns

rescue.rectangle

Convert Window Back To Rectangle

Hyper Data Frame

Methods for three-dimensional point patterns

Murchison gold deposits

Nearest Neighbour Clutter Removal

Compute Images of Constructed Covariates

Recognise Stationary and Poisson Point Process Models

Signed or Vector-Valued Measure

Window in Shape of Letter R

Nearest neighbour distances

Find Line Segment Nearest to Each Point

Subdivide a Window or Tessellation using a Set of Lines

nearest.raster.point

Find Pixel Nearest to a Given Point

Intersection of Two Tessellations

Chicago Street Crime Data

The Multitype Hard Core Point Process Model

Pairwise distances

Point Patterns of New Brunswick Forest Fires

Saturated Pairwise Interaction Point Process Family

Plot a List of Things

Pairwise Distances in Any Dimensions

Perfect Simulation of the Strauss Process

Basis for Harmonic Functions

Morphological Opening

Apply Function to Every Neighbourhood in a Point Pattern

Safely Convert Point Pattern Window to Binary Mask

Inhomogeneous Linear Pair Correlation Function

Nonparametric Estimate of Spatially-Varying Relative Risk

Pairwise distances

Test Whether An Object Is A Window

Combine Two Line Segment Patterns

Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)

Areas of Morphological Erosions

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Evaluate Expression Involving Function Arrays

Test Whether An Object Is Empty

Multitype pair correlation function (i-to-any)

Morphological Dilation

Plot Function Values

Border Region of a Window

Convert Spatial Object to Pixel Image

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Compute Disc of Given Radius in Linear Network

Inhomogeneous Linear K Function

Plot Pixel Image on Linear Network

Convert Window to Another Unit of Length

Convert Data to Numeric Values by Constructing Dummy Variables

Rotate a Point Pattern

Methods for Multi-Dimensional Box

Simulate Thomas Process

Beta Ganglion Cells in Cat Retina, Old Version

Extract or Replace Subset of Tessellation

Aherne's hamster tumour data

Data Sharpening of Point Pattern

Plot a Simulation Envelope

Summary of a List of Things

inforder.family

Infinite Order Interaction Family

Extract or Replace Subset of a List of Things

Apply Affine Transformation To Point Pattern

Identify Covariates Involved in each Model Term

Spatial Covariance of a Pixel Image

Make Pixel Images Compatible

Class of Images

Perimeter Length of Window

Bronze gradient filter data

pairdist.default

Pairwise distances

Point and Click Interface for Displaying a Point Pattern

Pair Correlation Function obtained from K Function

The Triplet Point Process Model

Convert to Pixel Image

Pair Correlation Function of a Three-Dimensional Point Pattern

Third order summary statistic

Centroid of a window

Profile Maximum Pseudolikelihood

plot.influence.ppm

Plot Influence Measure

Berman's Tests for Point Process Model

Beta Ganglion Cells in Cat Retina

Interactively Define a Polygon

Infinite Straight Lines

Distance Map of Line Segment Pattern

Summarise Marks in Every Neighbourhood in a Point Pattern

Japanese Pines Point Pattern

The Fiksel Interaction

Estimate window from points alone

Multitype K Function (Cross-type)

Multitype K Function (i-to-any)

Plot a tessellation

Create Colour-Valued Pixel Image

Kaplan-Meier and Reduced Sample Estimator using Histograms

Convert Window to Pixel Image

Multitype pair correlation function (cross-type)

Quadrature Scheme Based on Pixel Grid

Methods for Units

plot a Spatial Quadrature Scheme

Predict Point Process Model on Linear Network

Generate a Quadrature Scheme from a Point Pattern

Plot a Signed or Vector-Valued Measure

Plot a List of Point Patterns

Simulate Matern Cluster Process

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Poisson Point Process on a Linear Network

Simulate Simple Sequential Inhibition

Multi-Dimensional Box

Create a Line Segment Pattern

Diagnostic Plots for Fitted Point Process Model

Create a Point Matching

Generate N Random Points

Mosaic Random Set

pppmatching.object

Class of Point Matchings

Kernel Smoothing of Line Segment Pattern

Print News About Latest Version of Package

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Extract the Interaction from a Fitted Point Process Model

Extract Quadrature Scheme Used to Fit a Point Process Model

Connected components of an image or window

Fit the Matern Cluster Point Process by Minimum Contrast

Prediction from a Fitted Cluster Point Process Model

Interaction Distance of a Point Process

Test Whether An Object Is A Pixel Image

Distance Between Two Point Patterns

Simulate Matern Model I

Predicted or Fitted Values from Spatial Logistic Regression

Pairwise distances in Three Dimensions

Plot a Function Array

Linear K Function

Expand Window By Factor

Compute Expansion Window for Simulation

Plot a fitted cluster point process

Generate grid of parallel lines with random displacement

Print Brief Details of a Spatial Window

Geometrical Calculations for Three-Dimensional Box

Test Whether Marks Are Present

Loglikelihood of Spatial Logistic Regression

Simulation Envelopes of Summary Function for 3D Point Pattern

Print Brief Details of an Image

ANOVA for Fitted Point Process Models on Linear Network

Create Point Pattern on Linear Network

Print Progress Reports

Plot a plotppm Object Created by plot.ppm

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

Marks of a Line Segment Pattern

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

Generate N Uniform Random Points in Any Dimensions

Generate N Uniform Random Points

Simulate Neyman-Scott Process

Convert Pixel Image from Numeric to Factor

project2segment

Move Point To Nearest Line

Distance Map of Point Pattern

Plot a linear network

Inverse-distance weighted smoothing of observations at irregular points

Areas of Morphological Dilations

Extract Dummy Points Used to Fit a Point Process Model

Identify Pixelwise Maximum of Several Pixel Images

model.frame.ppm

Extract the Environment of a Point Process Model

Simple Example of Linear Network

matclust.estpcf

Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation

Simulate systematic random point pattern

Multidimensional Space-Time Point Pattern

Function Value Table

Plot a Spatial Window

Mosaic Random Field

Mark Correlation Integral

Log Likelihood and AIC for Point Process Model

Number of Line Segments in a Line Segment Pattern

Generate N Random Multitype Points

Class of Point Patterns

spatstat.options

Internal Options in Spatstat Package

Methods for Linear Networks

Nearest neighbours in three dimensions

Spruces Point Pattern

Summarizing a Fitted Point Process Model

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

Class of Quadrature Schemes

Distance for a Point Pattern Matching

Humberside Data on Childhood Leukaemia and Lymphoma

Generate Poisson Point Pattern in Any Dimensions

Simulate Baddeley-Silverman Cell Process

Apply Vector Translation To Line Segment Pattern

Methods for Cluster Point Process Models

Generate Poisson Point Pattern

Theoretical Distribution of Nearest Neighbour Distance

Leverage Measure for Spatial Point Process Model

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

model.matrix.ppm

Extract Design Matrix from Point Process Model

Mark Connection Function

Simulate Stratified Random Point Pattern

Swedish Pines Point Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Nearest neighbour distances in three dimensions

Rounding of Pixel Values

plot.leverage.ppm

Plot Leverage Function

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Random Thinning

rshift.splitppp

Randomly Shift a List of Point Patterns

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

Rectangular grid of points

Foxall's Distance Functions

Plot a Colour Map

plot.hyperframe

Plot Entries in a Hyperframe

Convert Polygonal Region into Different Format

Geyer's Saturation Point Process Model

Methods for Three-Dimensional Box

Spokes pattern of dummy points

Scatterplot Matrix for Pixel Images

Create a Linear Network

Cartesian Coordinates for a Pixel Raster

Prediction from a Fitted Point Process Model

Dummy Function Returns Number of Points

Divide Image Into Sub-images

Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image

Create a Tessellation

Create List of Plotting Layers

Apply Vector Translation

plot a Spatial Point Pattern

Morphological Closing

Create Pixel Image on Linear Network

Three Dimensional Point Pattern

The Strauss / Hard Core Point Process Model

Place Points Evenly Along Specified Lines

Convert Point Pattern to Pixel Image

Nearest Neighbours Between Two Patterns

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Pairwise distances between line segments

Print a Quadrature Scheme

Generic Ord Interaction model

Compute Quadratic Forms

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Vertices of a Window

Local pair correlation function

Rotate a Window

Summary of a Line Segment Pattern Dataset

plot a Fitted Point Process Model

Sample Quantiles of Pixel Image

Weighted Histogram

Create a Point Pattern

Morishita Index Plot

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Simulate Gauss-Poisson Process

Print a Fitted Point Process Model

Fit the Thomas Point Process by Minimum Contrast

Volume of an Object

Spatial Logistic Regression

Nearest Neighbour Distances in Any Dimensions

summary.splitppp

Summary of a Split Point Pattern

Fit Point Process Model to Data

Sufficient Statistic of Point Process Model

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Variance-Covariance Matrix for a Fitted Point Process Model

Q-Q Plot of Residuals from Fitted Point Process Model

plot.bermantest

Plot Result of Berman Test

pairwise.family

Pairwise Interaction Process Family

Number of Points in a Point Pattern

Residuals for Fitted Point Process Model

Simulate a Fitted Gibbs Point Process Model

Perspective Plot of Pixel Image

Inhomogeneous Neighbourhood Density Function

selfcrossing.psp

Crossing Points in a Line Segment Pattern

vargamma.estpcf

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Pair Correlation Function

Divide Region into Quadrats

Simulate point patterns using the Metropolis-Hastings algorithm.

Analysis of Deviance for Spatial Logistic Regression Models

Neighbourhood density function

Reduced Sample Estimator using Histogram Data

Define Point Process Model for Metropolis-Hastings Simulation.

Summary of a Point Pattern Dataset

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Spatial Scan Test

Extract Unique Points from a Spatial Point Pattern

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Apply Vector Translation To Pixel Image

Interpret Fitted Model for Metropolis-Hastings Simulation.

Pool Data from Several Function Arrays

Orientation Angles of Line Segments

Plot a Fitted Spatial Logistic Regression

plot a Spatial Line Segment Pattern

Summarizing a Quadrature Scheme

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Convert Point Pattern to Another Unit of Length

Generate Multitype Poisson Point Pattern

Convert Line Segment Pattern to Another Unit of Length

Convert dataset to another unit of length

Convert Data To Class psp

scaletointerval

Rescale Data to Lie Between Specified Limits

Randomly Shift a Line Segment Pattern

Compute Integral of Function Against Cumulative Distribution

Weighted kernel smoother

Union of Data and Dummy Points

Smooth a Signed or Vector-Valued Measure

Generate Poisson Point Pattern in Three Dimensions

Ponderosa Pine Tree Point Pattern

Convert Line Segment Pattern to Pixel Image

Estimate Variance of Summary Statistic by Subdivision

Generate a Default Pattern of Dummy Points

Cut margins from rectangle

Name for Unit of Length

Extract List of Tiles in a Tessellation

spatstat-internal

Internal spatstat functions

Simulate from a Fitted Point Process Model

Simulate a Fitted Cluster Point Process Model

Pair Correlation Function of Point Pattern

Summarizing a Pixel Image

bounding.box.xy

Convex Hull of Points

Inhomogeneous Multitype K Dot Function

Corners of a rectangle

Update a Fitted Point Process Model

Random Re-Labelling of Point Pattern

Integral of a Pixel Image

Stoyan's Rule of Thumb for Bandwidth Selection

Set Control Parameters for Metropolis-Hastings Algorithm.

Update a Fitted Cluster Point Process Model

Collapse Several Function Tables into One

Rotate a Line Segment Pattern

Parameter influence measure

Test Whether Objects Are Compatible

Evaluate an Expression in a Function Table

Pairwise distances between two different point patterns

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Determine Initial State for Metropolis-Hastings Simulation.

Randomly Shift a Point Pattern

Generate N Uniform Random Points in a Disc

Uniform Random Points on a Linear Network

Circular Window

Create a Pixel Image Object

Fitted Probabilities for Spatial Logistic Regression

Kaplan-Meier Estimator using Histogram Data

Compute Areas of Tiles in a Tessellation

Mark Correlation Function

Triplet Interaction Family

Superimpose Several Geometric Patterns

Pool Data from Several Envelopes

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Inhomogeneous Pair Correlation Function

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Convert Pixel Image to Another Unit of Length

Generate N Uniform Random Points in Three Dimensions

Generate Poisson Random Line Process

Fit the Thomas Point Process by Minimum Contrast

Diameter of an Object

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Diggle-Gratton model

Extract Subset of Function Array

Extract or Replace Subset of Point Pattern

Model Compensator of K Function

Locally Scaled K-function

Convert Data to Three-Dimensional Box

Convert Function Value Table to Function

Extract Subset of Line Segment Pattern

Convert Pixel Image to Matrix or Array

Multitype J Function (i-to-any)

Diggle's Heather Data

Determine Whether One Window is Contained In Another

The Lennard-Jones Potential

Test Whether a Window is Convex

K-function using FFT

ANOVA for Fitted Point Process Models

Test Whether A Point Pattern is Marked

Methods for Intensity Functions of Spatial Covariate

Midpoints of Line Segment Pattern

Nearest neighbour distances between line segments

Area of a Window

as.data.frame.im

Convert Pixel Image to Data Frame

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Tropical rain forest trees

Pair Correlation Function obtained from array of K functions

Nearest neighbour

Pseudoscore Diagnostic For Fitted Model against General Alternative

Print Brief Details of a Point Pattern Dataset

Pairwise distances between two different three-dimensional point patterns

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

Kernel Smoothed Intensity of Point Pattern

Influenza Virus Proteins

Optimise Irregular Trend Parameters in Point Process Model

Quadrat counting for a point pattern

Apply Smoothing to Function Values

Galaxies in the Shapley Supercluster

Apply Vector Translation To Window

Lansing Woods Point Pattern

Lengths of Line Segments

Test Whether A Point Process Model is Marked

Urkiola Woods Point Pattern

Identify Points in a Point Pattern

Method of Minimum Contrast

Nearest Neighbours in Any Dimensions

Ord Interaction Process Family

New Zealand Trees Point Pattern

Make Periodic Copies of a Spatial Pattern

Class of Fitted Point Process Models

Print Brief Details of a Line Segment Pattern Dataset

Class of Line Segment Patterns

quadratresample

Resample a Point Pattern by Resampling Quadrats

Simulate Matern Model II

California Redwoods Point Pattern (Ripley's Subset)

Data and Code From JRSS Discussion Paper on Residuals

Random Perturbation of a Point Pattern

Generate Poisson Point Pattern on Line Segments

Read Point Pattern From Data File

Set Covariance of a Window

Simulated Point Pattern

Approximate a Polygon by a Simpler Polygon

Empty Space Function of a Three-Dimensional Point Pattern

Model Compensator of Nearest Neighbour Function

Ord's Interaction model

The Piecewise Constant Pairwise Interaction Point Process Model

Difference of Disc Areas

Coefficients of Fitted Spatial Logistic Regression Model

Interactively Add Points

clarkevans.test

Clark and Evans Test

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Diameter of a Window

envelope.envelope

Recompute Envelopes

Fry Plot of Point Pattern

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Intersection, Union or Set Subtraction of Two Windows

Fit Cluster or Cox Point Process Model

Lurking variable plot

methods.distfun

Methods for Distance Functions

Methods for Fitted Point Process Models on a Linear Network

multiplicity.ppp

Count Multiplicity of Duplicate Points

Pairwise shortest-path distances between points on a linear network

Plot a Pixel Image

Plot a Spatial Kolmogorov-Smirnov Test

rPoissonCluster

Simulate Poisson Cluster Process

Simulate Log-Gaussian Cox Process

Smoothing Estimate of Covariate Transformation

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

Poisson Line Tessellation

Spatial smoothing of observations at irregular points

spatstat-package

The Spatstat Package

Divide Point Pattern into Sub-patterns

Summary of a Spatial Window

Apply Vector Translation To Point Pattern