Plot a tessellation or division of a linear network into tiles.

plot.lintess

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.

Adrian Baddeley

spatstat.linnet

Linear Networks Functionality of the 'spatstat' Family

Rolf Turner

Ege Rubak

Greg McSwiggan

Tilman Davies

Mehdi Moradi

Suman Rakshit

Ottmar Cronie

plot.lintess function

Plot a Tessellation on a Linear Network — plot.lintess

<dl>

 <dt>x</dt>
<dd>Tessellation on a linear network
 (object of class <code>"lintess"</code>).</dd>

 <dt>...</dt>
<dd>Arguments passed to <code><a href='https://rdrr.io/r/graphics/segments.html'>segments</a></code> (if
 <code>style="segments"</code>)
 or to <code>plot.im</code> (if <code>style="image"</code>)
 to control the plot.</dd>

 <dt>main</dt>
<dd>Optional main title for the plot.</dd>

 <dt>add</dt>
<dd>Logical value indicating whether the plot is to be added to an
 existing plot.</dd>

 <dt>style</dt>
<dd>Character string (partially matched) specifying the type of plot.
 If <code>style="colour"</code> (the default), tiles are plotted
 using <code><a href='https://rdrr.io/r/graphics/segments.html'>segments</a></code> using colours to distinguish
 the different tiles or values. If <code>style="width"</code>,
 tiles are plotted using <code><a href='https://rdrr.io/r/graphics/segments.html'>segments</a></code>
 using different segment widths to distinguish
 the different tiles or values. If <code>style="image"</code>, the
 tessellation is converted to a pixel image and plotted by
 <code>plot.im</code>.</dd>

 <dt>col</dt>
<dd>Vector of colours, or colour map, determining the colours used
 to plot the different tiles of the tessellation.</dd>

 <dt>values</dt>
<dd>Values associated with each tile of the tessellation,
 used to determine the colours or widths.
 A vector with one entry for each tile, or a data frame
 with one row for each tile.
 The default is <code>marks(x)</code>, or if that is null, then
 <code>tilenames(x)</code>.</dd>

 <dt>ribbon</dt>
<dd>Logical value specifying whether to print an explanatory legend
 for the colour map or width map.</dd>

 <dt>ribargs</dt>
<dd>Arguments passed to <code>plot.colourmap</code> controlling the
 display of the colour map legend.</dd>

 <dt>multiplot</dt>
<dd>Logical value determining what should happen if <code>marks(x)</code>
 has more than one column. If <code>multiplot=TRUE</code> (the default),
 several plot panels will be generated, one panel for each column
 of marks. If <code>multiplot=FALSE</code>, the first column of marks will
 be selected.</dd>

 <dt>do.plot</dt>
<dd>Logical value specifying whether to actually generate the plot
 (<code>do.plot=TRUE</code>, the default) or just to compute the colour map
 and return it (<code>do.plot=FALSE</code>).</dd>

</dl>

Arguments

Adrian Baddeley <a href='mailto:Adrian.Baddeley@curtin.edu.au'>Adrian.Baddeley@curtin.edu.au</a>

Author

Plot a Tessellation on a Linear Network

plot.lintess: Plot a Tessellation on a Linear Network

Description

Usage

Arguments

Value

Details

See Also

Examples