spatstat.linnet (version 3.1-0)

spatstat.linnet-package: The spatstat.linnet Package

Description

The spatstat.linnet package belongs to the spatstat family of packages. It contains the functionality for analysing spatial data on a linear network.

Structure of the spatstat family

The orginal spatstat package grew to be very large. It has now been divided into several sub-packages:

• spatstat.utils containing basic utilities

• spatstat.sparse containing linear algebra utilities

• spatstat.data containing datasets

• spatstat.geom containing geometrical objects and geometrical operations

• spatstat.explore containing the main functionality for exploratory and non-parametric analysis of spatial data

• spatstat.model containing the main functionality for statistical modelling and inference for spatial data

• spatstat.linnet containing functions for spatial data on a linear network

• spatstat, which simply loads the other sub-packages listed above, and provides documentation.

When you install spatstat, these sub-packages are also installed. Then if you load the spatstat package by typing library(spatstat), the other sub-packages listed above will automatically be loaded or imported. For an overview of all the functions available in these sub-packages, see the help file for spatstat in the spatstat package,

Additionally there are several extension packages:

• spatstat.gui for interactive graphics

• spatstat.local for local likelihood (including geographically weighted regression)

• spatstat.Knet for additional, computationally efficient code for linear networks

• spatstat.sphere (under development) for spatial data on a sphere, including spatial data on the earth's surface

The extension packages must be installed separately and loaded explicitly if needed. They also have separate documentation.

Overview of functionality

Here is a list of the main functionality in spatstat.linnet.

Point patterns on a linear network

An object of class "linnet" represents a linear network (for example, a road network).

linnet	create a linear network
clickjoin	interactively join vertices in network
spatstat.gui::iplot.linnet	interactively plot network
simplenet	simple example of network
lineardisc	disc in a linear network
delaunayNetwork	network of Delaunay triangulation
dirichletNetwork	network of Dirichlet edges
methods.linnet	methods for linnet objects
vertices.linnet	nodes of network
joinVertices	join existing vertices in a network
insertVertices	insert new vertices at positions along a network
addVertices	add new vertices, extending a network
thinNetwork	remove vertices or lines from a network
repairNetwork	repair internal format
pixellate.linnet	approximate by pixel image

An object of class "lpp" represents a point pattern on a linear network (for example, road accidents on a road network).

lpp	create a point pattern on a linear network
methods.lpp	methods for lpp objects
subset.lpp	method for subset
rpoislpp	simulate Poisson points on linear network
runiflpp	simulate random points on a linear network
chicago	Chicago crime data
dendrite	Dendritic spines data
spiders	Spider webs on mortar lines of brick wall

Summary statistics for a point pattern on a linear network:

These are for point patterns on a linear network (class lpp). For unmarked patterns:

linearK	\(K\) function on linear network
linearKinhom	inhomogeneous \(K\) function on linear network
linearpcf	pair correlation function on linear network
linearpcfinhom	inhomogeneous pair correlation on linear network

For multitype patterns:

linearKcross	\(K\) function between two types of points
linearKdot	\(K\) function from one type to any type
linearKcross.inhom	Inhomogeneous version of linearKcross
linearKdot.inhom	Inhomogeneous version of linearKdot
linearmarkconnect	Mark connection function on linear network
linearmarkequal	Mark equality function on linear network
linearpcfcross	Pair correlation between two types of points
linearpcfdot	Pair correlation from one type to any type
linearpcfcross.inhom	Inhomogeneous version of linearpcfcross
linearpcfdot.inhom	Inhomogeneous version of linearpcfdot

Related facilities:

pairdist.lpp	distances between pairs
crossdist.lpp	distances between pairs
nndist.lpp	nearest neighbour distances
nncross.lpp	nearest neighbour distances
nnwhich.lpp	find nearest neighbours
nnfun.lpp	find nearest data point
density.lpp	kernel smoothing estimator of intensity
distfun.lpp	distance transform
envelope.lpp	simulation envelopes
rpoislpp	simulate Poisson points on linear network
runiflpp	simulate random points on a linear network

It is also possible to fit point process models to lpp objects.

Point process models on a linear network:

An object of class "lpp" represents a pattern of points on a linear network. Point process models can also be fitted to these objects. Currently only Poisson models can be fitted.

lppm	point process model on linear network
anova.lppm	analysis of deviance for
	point process model on linear network
envelope.lppm	simulation envelopes for
	point process model on linear network
fitted.lppm	fitted intensity values
predict.lppm	model prediction on linear network
linim	pixel image on linear network
plot.linim	plot a pixel image on linear network
eval.linim	evaluate expression involving images
linfun	function defined on linear network
methods.linfun	conversion facilities

Licence

This library and its documentation are usable under the terms of the "GNU General Public License", a copy of which is distributed with the package.

Author

Adrian Baddeley , Rolf Turner and Ege Rubak .

Acknowledgements

Ottmar Cronie, Tilman Davies, Greg McSwiggan and Suman Rakshit made substantial contributions of code.

Details

spatstat is a family of R packages for the statistical analysis of spatial data. Its main focus is the analysis of spatial patterns of points in two-dimensional space.

The original spatstat package has now been split into several sub-packages.

This sub-package spatstat.linnet contains the user-level functions from spatstat that are concerned with spatial data on a linear network.