RMpoissonpoly: RMpolygon
In RandomFields: Simulation and Analysis of Random Fields
Description
Usage
Arguments
Author(s)
References
See Also
Examples
Description
RMpolygon refers to the indicator function of
a typical Poisson polygon, used for instance in the
(mixed) Storm process.
Usage
1
RMpolygon(lambda)
Arguments
lambda
intensity of the hyperplane process creating the random shape function.
The default value is 1.
Author(s)
Felix Ballani,
https://tu-freiberg.de/fakult1/sto/ballani
\martin
References
Poisson polygons / Poisson hyperplane tessellation
Lantuejoul, C. (2002)
Geostatistical Simulation: Models and Algorithms.
Springer.
Poisson storm process
Lantuejoul, C., Bacro, J.N., Bel L. (2011)
Storm processes and stochastic geometry. Extremes,
14(4), 413-428.
Mixed Poisson storm process
Strokorb, K., Ballani, F., and Schlather, M. (2014)
Tail correlation functions of max-stable processes: Construction
principles, recovery and diversity of some mixing max-stable
processes with identical TCF.
Extremes, Submitted.
See Also
RMball,
RMspheric,
RFsimulate,
RMmodel.
Examples
1
2
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
RandomFields documentation built on Jan. 19, 2022, 1:06 a.m.
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Description Usage Arguments Author(s) References See Also Examples
Description
RMpolygon refers to the indicator function of
a typical Poisson polygon, used for instance in the
(mixed) Storm process.
Usage
1 | RMpolygon(lambda)
|
Arguments
lambda |
intensity of the hyperplane process creating the random shape function. The default value is |
Author(s)
Felix Ballani, https://tu-freiberg.de/fakult1/sto/ballani
\martinReferences
Poisson polygons / Poisson hyperplane tessellation
Lantuejoul, C. (2002) Geostatistical Simulation: Models and Algorithms. Springer.
Poisson storm process
Lantuejoul, C., Bacro, J.N., Bel L. (2011) Storm processes and stochastic geometry. Extremes, 14(4), 413-428.
Mixed Poisson storm process
Strokorb, K., Ballani, F., and Schlather, M. (2014) Tail correlation functions of max-stable processes: Construction principles, recovery and diversity of some mixing max-stable processes with identical TCF. Extremes, Submitted.
See Also
RMball,
RMspheric,
RFsimulate,
RMmodel.
Examples
1 2 | RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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