Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: spatial
See also: SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPpsim SPPPssi SPPPkenvl SPPPkaver

Quantlet: SPPPstrauss
Description: Simulates a Strauss spatial point process. It uses a spatial birth-and-death process for (4 n) steps (or for (40 n) steps when starting from a binomial pattern on the first call from another function). 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.

Reference(s):

Link:
Usage: ppstrauss = SPPPstrauss (nsim, n, c, r)
Input:
nsim scalar - number of simulations
n scalar - number of points in the domain
c scalar - in [0, 1]; c = 0 corresponds to complete inhibition at distances up to r
r scalar - inhibition distance
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 - "STRAUSS"

Note:

Example:

; 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 Strauss point processes (with c = 0.15

; and r = 0.7), each consisting of 72 points, 

; in the previously determined domain

ppstrauss = SPPPstrauss (100, 72, 0.15, 0.7)

Result:

List, consisting of x and y coordinates of 100 Strauss

point processes, each consisting of 72 points.


Library: spatial
See also: SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPpsim SPPPssi SPPPkenvl SPPPkaver

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Juergen Symanzik, 000725
(C) MD*TECH Method and Data Technologies, 21.9.2000