plot.lintess | R Documentation |
Plot a tessellation or division of a linear network into tiles.
## S3 method for class 'lintess'
plot(x, ...,
main, add = FALSE,
style = c("colour", "width", "image"),
col = NULL, values=marks(x),
ribbon=TRUE, ribargs=list(), multiplot=TRUE, do.plot=TRUE)
x |
Tessellation on a linear network
(object of class |
... |
Arguments passed to |
main |
Optional main title for the plot. |
add |
Logical value indicating whether the plot is to be added to an existing plot. |
style |
Character string (partially matched) specifying the type of plot.
If |
col |
Vector of colours, or colour map, determining the colours used to plot the different tiles of the tessellation. |
values |
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 |
ribbon |
Logical value specifying whether to print an explanatory legend for the colour map or width map. |
ribargs |
Arguments passed to |
multiplot |
Logical value determining what should happen if |
do.plot |
Logical value specifying whether to actually generate the plot
( |
A tessellation on a linear network L
is a partition of the
network into non-overlapping pieces (tiles). Each tile consists of one
or more line segments which are subsets of the line segments making up
the network. A tile can consist of several disjoint pieces.
This function plots the tessellation on the current device.
It is a method for the generic plot
.
If style="colour"
, each tile is plotted using
segments
, drawing segments of different colours.
If style="width"
, each tile is plotted using
segments
, drawing segments of different widths.
If style="image"
, the tessellation is converted to a pixel
image, and plotted as a colour image using plot.im
.
The colours or widths are determined by the values
associated with each tile of the tessellation. If values
is
missing, the default is to use the marks of the tessellation, or if
there are no marks, the names of the tiles.
(Invisible) colour map.
lintess
X <- runiflpp(7, simplenet)
Z <- divide.linnet(X)
plot(Z, main="tessellation on network")
points(as.ppp(X))
plot(Z, main="tessellation on network",
values=1:nobjects(Z), style="w")
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