Library: | spatial |
See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPstrauss SPPPssi SPPPkenvl SPPPkaver |
Quantlet: | SPPPpsim | |
Description: | simulates a Binomial (Poisson) spatial point process. Note that SPPPinit or SPPPsetregion must have been called before to set the domain. To be able to reproduce results, reset the random number generator for point processes by calling SPPPinitrandom first. |
Usage: | res = SPPPpsim(nsim, n) | |
Input: | ||
nsim | scalar, number of simulations | |
n | scalar, number of points in the domain | |
Output: | ||
res | list, consisting of components xmat, ymat and type: | |
res.xmat | n x nsim matrix, consisting of x coordinates | |
res.ymat | n x nsim matrix, consisting of y coordinates | |
res.type | string, "PSIM" |
; loads the spatial statistics library library("spatial") ; reads a spatial data set pines = read("pines.dat") ; initializes a point process pinesobj = SPPPinit(pines, 0, 96, 0, 100, 10) ; resets random number generator SPPPinitrandom(0) ; simulates 100 Binomial point processes, each consisting ; of 72 points, in the previously determined domain ppsim = SPPPpsim(100, 72) ppsim.xmat[1:3,1:3] ppsim.ymat[1:3,1:3]
List ppsim consists of x and y coordinates of 100 Binomial point processes, each consisting of 72 points: Contents of _tmp [1,] 1.0709e-06 0.25397 1.0645 [2,] 1.1978 0.62259 4.04 [3,] 0.034049 4.4376 6.1577 Contents of _tmp [1,] 0.030269 7.9305 4.9191 [2,] 4.2072 6.0908 9.97 [3,] 2.3159 8.0506 1.1953