ki.fun {ads} | R Documentation |
Computes a set of K12-functions between all possible marks i and the other marks in a multivariate spatial point pattern defined in a simple (rectangular or circular) or complex sampling window (see Details).
ki.fun(p, upto, by)
p |
a "spp" object defining a multivariate spatial point pattern in a given sampling window (see spp ). |
upto |
maximum radius of the sample circles (see Details). |
by |
interval length between successive sample circles radii (see Details). |
Function ki.fun
is simply a wrapper to k12fun
, which computes K12(r) between each mark i of the pattern
and all other marks grouped together (the j points).
A list of class "fads"
with essentially the following components:
r |
a vector of regularly spaced distances (seq(by,upto,by) ). |
labi |
a vector containing the levels i of p$marks . |
gi. |
a data frame containing values of the pair density function g12(r). |
ni. |
a data frame containing values of the local neighbour density function n12(r). |
ki. |
a data frame containing values of the K12(r) function. |
li. |
a data frame containing values of the modified L12(r) function. |
|
Each component except r is a data frame with the following variables: |
obs |
a vector of estimated values for the observed point pattern. |
theo |
a vector of theoretical values expected under the null hypothesis of population independence (see k12fun ). |
There are printing and plotting methods for "fads"
objects.
plot.fads
,
spp
,
kfun
,
k12fun
,
kijfun
.
data(BPoirier) BP<-BPoirier # multivariate spatial point pattern in a rectangle sampling window swrm<-spp(BP$trees,win=BP$rect,marks=BP$species) ki.swrm<-ki.fun(swrm,25,1) plot(ki.swrm) # multivariate spatial point pattern in a circle with radius 50 centred on (55,45) swcm<-spp(BP$trees,win=c(55,45,45),marks=BP$species) ki.swcm<-ki.fun(swcm,25,1) plot(ki.swcm) # multivariate spatial point pattern in a complex sampling window swrtm<-spp(BP$trees,win=BP$rect,tri=BP$tri2,marks=BP$species) ki.swrtm<-ki.fun(swrtm,25,1) plot(ki.swrtm)