Library: | spatial |
See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPpsim SPPPstrauss SPPPssi SPPPkenvl SPPPkaver |
Quantlet: | SPPPkfn | |
Description: | Computes K-fn of a point pattern. Actually, it computes L = sqrt(K / pi). Note that SPPPinit or SPPPsetregion must have been called before. |
Usage: | ppkfn = SPPPkfn (pp, fs, k) | |
Input: | ||
pp | list - (of type "PP") calculated by SPPPinit | |
fs | scalar - full scale of the plot | |
k | scalar - number of regularly spaced distances in (0, fs) | |
Output: | ||
res | list - consisting of components x, y, k, dmin, lm -- | |
x | n x 1 - vector of distances | |
y | n x 1 - vector of L-fn values | |
k | scalar - number of distances returned (which may be less than k if fs is too large) | |
dmin | scalar - minimum distance between pair of points | |
lm | scalar - maximum deviation from L(t) = t |
; 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) ; calculate K-fn in interval (0, 5), split into 100 segments ppkfn = SPPPkfn (pinesobj, 5, 100)
Returns the L-fn for a point pattern, including some of its major characteristics.
Library: | spatial |
See also: | SPPPinit SPPPinitrandom SPPPsetregion SPPPgetregion SPPPpsim SPPPstrauss SPPPssi SPPPkenvl SPPPkaver |