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spatstat.linnet (version 2.1-1)

Linear Networks Functionality of the 'spatstat' Family

Description

Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the function lppm() similar to glm(). Only Poisson models are implemented so far. Models may involve dependence on covariates and dependence on marks. Models are fitted by maximum likelihood. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots. Random point patterns on a network can be generated using a variety of models.

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Version

Install

install.packages('spatstat.linnet')

Monthly Downloads

15,358

Version

2.1-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

March 28th, 2021

Functions in spatstat.linnet (2.1-1)

Extract Window of Spatial Object on a Network

Apply Geometrical Transformations to Point Pattern on a Linear Network

Reset Values in Subset of Image on Linear Network

Extract Subset of Pixel Image on Linear Network

Extract Subset of Point Pattern on Linear Network

Extract Subset of Linear Network

S3 Group Generic Methods for Images on a Linear Network

Apply Geometrical Transformations to a Linear Network

ANOVA for Fitted Point Process Models on Linear Network

Add New Vertices to a Linear Network

Convert to Pixel Image on Linear Network

as.linnet.linim

Extract Linear Network from Data on a Linear Network

Check Start of Character String

berman.test.lpp

Berman's Tests for Point Process Model on a Network

Area Under ROC Curve for Data on a Network

Convert Data on a Network to class owin

Convert Data to a Point Pattern on a Linear Network

Convert Line Segment Pattern to Linear Network

Convert Data to a Function on a Linear Network

Interactively join vertices on a plot

as.data.frame.lintess

Convert Network Tessellation to Data Frame

Tree Branch Membership Labelling Function

connected.linnet

Connected Components of a Linear Network

Divide a Linear Network into Tiles Using Infinite Lines

Spatial Distribution Test for Points on a Linear Network

Likelihood Cross Validation Bandwidth Selection for Kernel Density on a Linear Network

Cross Validated Bandwidth Selection for Voronoi Estimator of Intensity on a Network

Cross Validated Bandwidth Selection for Relative Risk Estimation on a Network

Connected Components of a Point Pattern on a Linear Network

densityEqualSplit

Equal-Split Algorithm for Kernel Density on a Network

Kernel Smoothing of Linear Network

Kernel Estimate of Intensity on a Linear Network

densityHeat.lpp

Kernel Density on a Network using Heat Equation

Classify Points in a Point Pattern on a Network

Interactively Add Points on a Linear Network

Extract Original Data from a Fitted Point Process Model on a Network

Pairwise distances between two point patterns on a linear network

delaunayNetwork

Linear Network of Delaunay Triangulation or Dirichlet Tessellation

crossing.linnet

Crossing Points between Linear Network and Other Lines

Delete or Extract a Branch of a Tree

diameter.linnet

Diameter and Bounding Radius of a Linear Network

Kernel Estimate of Intensity on a Linear Network as a Spatial Function

Divide Linear Network at Cut Points

Distance Map on Linear Network

Fitted Intensity for Point Process on Linear Network

heatkernelapprox

Approximation to Heat Kernel on Linear Network at Source Point

Empirical Intensity of Point Pattern on Linear Network

intersect.lintess

Intersection of Tessellations on a Linear Network

Evaluate Expression Involving Pixel Images on Linear Network

Envelope for Point Patterns on Linear Network

Identify Points in a Point Pattern on a Linear Network

Extract the Linear Network on which Spatial Data are Defined

Insert New Vertices in a Linear Network

densityVoronoi.lpp

Intensity Estimate of Point Pattern on Linear Network Using Voronoi-Dirichlet Tessellation

densityQuick.lpp

Kernel Estimation of Intensity on a Network using a 2D Kernel

is.connected.linnet

Determine Whether a Linear Network is Connected

Test Whether A Point Process Model is Marked

Inhomogeneous Linear K Function

linearKdot.inhom

Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern

Multitype K Function (Cross-type) for Linear Point Pattern

Linear K Function

Integral on a Linear Network

is.multitype.lpp

Test Whether A Point Pattern on a Network is Multitype

linearmarkequal

Mark Connection Function for Multitype Point Pattern on Linear Network

is.multitype.lppm

Test Whether A Point Process Model is Multitype

is.stationary.lppm

Recognise Stationary and Poisson Point Process Models on a Network

Join Vertices in a Network

linearmarkconnect

Mark Connection Function for Multitype Point Pattern on Linear Network

linearKcross.inhom

Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern

Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Multitype K Function (Dot-type) for Linear Point Pattern

Create a Linear Network

lineardirichlet

Dirichlet Tessellation on a Linear Network

Inhomogeneous Linear Pair Correlation Function

linearpcfdot.inhom

Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern

Function on a Linear Network

linearpcfcross.inhom

Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

Create Pixel Image on Linear Network

Create Point Pattern on Linear Network

Subdivide Segments of a Network

Tessellation on a Linear Network

Methods for Point Patterns on a Linear Network

Methods for Fitted Point Process Models on a Linear Network

Compute Disc of Given Radius in Linear Network

Linear Pair Correlation Function

Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern

Plot Pixel Image on Linear Network

Plot a linear network

Nearest neighbour distances on a linear network

Identify Nearest Neighbours on a Linear Network

Fit Point Process Model to Point Pattern on Linear Network

Nearest Data Point From Each Vertex in a Network

Nearest Neighbour Map on Linear Network

Pairwise shortest-path distances between points on a linear network

model.frame.lppm

Extract the Variables in a Point Process Model on a Network

model.images.lppm

Compute Images of Constructed Covariates

Scatterplot Matrix for Pixel Images on a Linear Network

model.matrix.lppm

Extract Design Matrix from Point Process Model on a Network

Plot a Fitted Point Process Model on a Linear Network

Marks of a Tessellation on a Network

Nearest Neighbours on a Linear Network

Receiver Operating Characteristic for Data on a Network

Random Points on a Linear Network

Nonparametric Estimate of Spatially-Varying Relative Risk on a Network

Nonparametric Estimate of Intensity as Function of a Covariate

Mean, Median, Quantiles of Pixel Values on a Linear Network

Switzer-type Point Process on Linear Network

Simulate Cell Process on Linear Network

lineartileindex

Determine Which Tile Contains Each Given Point on a Linear Network

Quadrature Scheme on a Linear Network

superimpose.lpp

Superimpose Several Point Patterns on Linear Network

Add Text Labels to Point Pattern on a Network

Methods for Functions on Linear Network

Methods for Linear Networks

Methods for Images on a Linear Network

Plot Point Pattern on Linear Network

Plot a Tessellation on a Linear Network

Simulate a Fitted Point Process Model on a Linear Network

spatstat.linnet-package

The spatstat.linnet Package

Repair Internal Data in a Linear Network

spatstat.linnet-internal

Internal spatstat.linnet functions

Draw Points on Existing Plot

Random Perturbation of a Point Pattern on a Network

Remove Vertices or Segments from a Linear Network

Compute Lengths of Tiles in a Tessellation on a Network

Calculate Pseudo-R-Squared for Point Process Model on Linear Network

Predict Point Process Model on Linear Network

tilenames.lintess

Names of Tiles in a Tessellation on a Network

treebranchlabels

Label Vertices of a Tree by Branch Membership

Uniform Random Points on a Linear Network

Poisson Point Process on a Linear Network

Separate Multiple Columns of Marks

Subset of Point Pattern Satisfying A Condition

Prune Tree to Given Level