Switzer-type Point Process on Linear Network
Generate a realisation of the Switzer-type point process on a linear network.
rSwitzerlpp(L, lambdacut, rintens = rexp, ..., cuts=c("points", "lines"))
L |
Linear network (object of class |
lambdacut |
Intensity of Poisson process of breakpoints. |
rintens |
Optional. Random variable generator used to generate the random intensity in each component. |
... |
Additional arguments to |
cuts |
String (partially matched) specifying the type of random cuts to be generated. |
This function generates simulated realisations of the Switzer-type point process on a network, as described in Baddeley et al (2017).
The linear network is first divided into pieces by a random mechanism:
if cuts="points"
,
a Poisson process of breakpoints with intensity lambdacut
is generated on the network, and these breakpoints separate the
network into connected pieces.
if cuts="lines"
, a Poisson line process in the plane
with intensity lambdacut
is generated; these lines divide
space into tiles; the network is divided into subsets associated
with the tiles. Each subset may not be a connected sub-network.
In each piece of the network, a random intensity is generated
using the random variable generator rintens
(the default is
a negative exponential random variable with rate 1). Given the
intensity value, a Poisson process is generated with the specified
intensity.
The intensity of the final process is determined by the mean
of the values generated by rintens
. If rintens=rexp
(the
default), then the parameter rate
specifies the inverse of the
intensity.
Point pattern on a linear network (object of class "lpp"
)
with an attribute "breaks"
containing the breakpoints (if
cuts="points"
) or the random lines (if cuts="lines"
).
Adrian Baddeley Adrian.Baddeley@curtin.edu.au.
Baddeley, A., Nair, G., Rakshit, S. and McSwiggan, G. (2017) ‘Stationary’ point processes are uncommon on linear networks. STAT 6, 68–78.
plot(rSwitzerlpp(domain(spiders), 0.01, rate=100)) plot(rSwitzerlpp(domain(spiders), 0.0005, rate=100, cuts="l"))
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