Psim: Simulate Binomial Spatial Point Process
In spatial: Functions for Kriging and Point Pattern Analysis
Psim R Documentation
Simulate Binomial Spatial Point Process
Description
Simulate Binomial spatial point process.
Usage
Psim(n)
Arguments
n
number of points
Details
relies on the region being set by ppinit or ppregion.
Value
list of vectors of x and y coordinates.
Side Effects
uses the random number generator.
References
Ripley, B. D. (1981) Spatial Statistics. Wiley.
Venables, W. N. and Ripley, B. D. (2002)
Modern Applied Statistics with S. Fourth edition. Springer.
See Also
SSI, Strauss
Examples
towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")
for(i in 1:10) lines(Kfn(Psim(69), 10))
spatial documentation built on April 12, 2025, 1:37 a.m.
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| Psim | R Documentation |
Simulate Binomial Spatial Point Process
Description
Simulate Binomial spatial point process.
Usage
Psim(n)
Arguments
n |
number of points |
Details
relies on the region being set by ppinit or ppregion.
Value
list of vectors of x and y coordinates.
Side Effects
uses the random number generator.
References
Ripley, B. D. (1981) Spatial Statistics. Wiley.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
SSI, Strauss
Examples
towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")
for(i in 1:10) lines(Kfn(Psim(69), 10))
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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