persp.linfun {spatstat.linnet} | R Documentation |
Perspective View of Function on a Linear Network
Description
Given a function on a linear network, generate a perspective view.
Usage
## S3 method for class 'linfun'
persp(x, ..., main, eps = NULL, dimyx = NULL, xy = NULL)
Arguments
x |
The function to be plotted. An object of class |
... |
Arguments passed to |
main |
Main title for the plot. |
eps , dimyx , xy |
Arguments passed to |
Details
The function x
is converted to a pixel image on the linear
network using as.linim
. Then
persp.linim
is invoked to generate the perspective plot.
This style of plot is often attributed to Okabe and Sugihara (2012).
Value
(Invisibly) the perspective transformation matrix,
as described in the help for persp.default
.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Greg McSwiggan.
References
Okabe, A. and Sugihara, K. (2012) Spatial Analysis Along Networks. John Wiley and Sons, New York.
See Also
Examples
f <- linfun(function(x,y,seg,tp) { abs(sin(25*x)) + abs(sin(15*y)) }, simplenet)
persp(f, phi=20)