Library: | spatial |
See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPpsim SPPPstrauss SPPPssi SPPPkaver |
Quantlet: | SPPPkenvl | |
Description: | Computes envelope (upper and lower limits) and average of simulations of K-fns. |
Usage: | ppkenvl = SPPPkenvl (fs, k, obj) | |
Input: | ||
fs | scalar - full scale of the plot | |
k | scalar - number of regularly spaced distances in (0, fs) | |
obj | list - (of type "PSIM", "STRAUSS", or "SSI") consisting of xmat, ymat, and type, caculated by SPPPpsim, SPPPstrauss, or SPPPssi | |
Output: | ||
res | list - consisting of components hx, hl, hu, aver -- | |
hx | k x 1 - vector of distances | |
hl | k x 1 - vactor of min of K-fn | |
hu | k x 1 - vector of max of K-fn | |
aver | k x 1 - vector of averages of K-fn |
; 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) ; calculate the envelope in interval (0, 5), split ; into 100 segments ppkenvl = SPPPkenvl (5, 100, sppsim)
List, consisting of distances and min, max, and averages of K-fn.
Library: | spatial |
See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPkfn SPPPpsim SPPPstrauss SPPPssi SPPPkaver |