| 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: | ppsim = 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, type -- | |
| xmat | n x nsim - matrix consisting of x coordinates | |
| ymat | n x nsim - matrix consisting of y coordinates | |
| type | string - "PSIM" | |
; load the spatial statistics library
library ("spatial")
; read a spatial data set
pines = read ("pines.dat")
; initialize a point process
pinesobj = SPPPinit (pines, 0, 96, 0, 100, 10)
; reset random number generator
SPPPinitrandom (0)
; simulate 100 Binomial point processes, each consisting
; of 72 points, in the previously determined domain
ppsim = SPPPpsim (100, 72)
List, consisting of x and y coordinates of 100 Binomial point processes, each consisting of 72 points.
| Library: | spatial |
| See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPstrauss SPPPssi SPPPkenvl SPPPkaver |