fsasN4 | R Documentation |
The function provided a easy flexible funciton body to analyze the forest saptial structure.
fsasN4(nnattri, match.fun, para = NULL)
nnattri |
attributies of nearest neighbour |
match.fun |
funcitons,such as "differ","dominance","ideal","uniform.angle","crowding","mingling",etc. |
para |
the parameter in the above match.fun |
result is the "nnmark" and,colum I is the sptial structre indices value Icount is the count distribution of I Ifreq is the frequency distribution of I meanI is the average value of I data is the final point pattern
Zongzheng Chai, chaizz@126.com
Gadow Kv, and Hui G. 2002. Characterizing forest spatial structure and diversity. Proc of the SUFOR international workshop: Sustainable forestry in temperate regions. p 20-30.
data(tree.ppp)
##Get the tree attributies of nearest neighbour for calculation
nnindices<-nnIndex(tree.ppp,N=4,
smark=c("sp.code","dbh.cm","storey","crownwid.m","group",
"biomass.kg","quality","x","y"),buffer=FALSE)
#Species mingling
M<-fsasN4(nnindices$nnsp.code,match.fun=mingling)
M
#Stand storey differation degree
H<-fsasN4(nnindices$nnstorey,match.fun=differ)
H
#Tree successional degree
S<-fsasN4(nnindices$nngroup,match.fun=ideal,para="Climax")
S
#Tree quality ideal state
Q<-fsasN4(nnindices$nnquality,match.fun=ideal,para=c("Excellent","Good"))
Q
#Tree corwding degree
C<-fsasN4(nnoverlap(nnindices$nncrownwid.m,nnindices$nndist),match.fun=crowding)
C
#Tree uniform angle index
W<-fsasN4(nnangle(nnindices$nndist,nnindices$nnx,nnindices$nny)$nnangle,
match.fun=uniform.angle,para=72)
W
#Tree dominance
U<-fsasN4(nnindices$nndbh.cm,match.fun=dominance)
U
#Tree biomass dominance
B<-fsasN4(nnindices$nnbiomass.kg,match.fun=dominance)
B
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