# tools:::Rd_package_title("forestSAS") tools:::Rd_package_description("forestSAS") package ## Details Forest structure commonly refers to a distribution pattern of tree attributes within a forest ecosystem. Similarly, tree population structure describes the distribution characteristics of individuals of conspecifics within a community, and the spatial structure of a tree population is largely determined by the relationships among neighboring groups of trees. ## Author(s) Zongzheng Chai, chaizz@126.com ## References None ## Examples ```r library(spatstat) data(tree.ppp) ##Get the tree attributies of nearest neighbour 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 ##Compute the structrue heterogeneity of index M.pv<-pv(M$result$index,optm=1) M.pv H.pv<-pv(H$result$index,optm=1) H.pv S.pv<-pv(S$result$index,optm=1) S.pv Q.pv<-pv(Q$result$index,optm=1) Q.pv C.pv<-pv(C$result$index,optm=0.5) C.pv W.pv<-pv(W$result$index,optm=0.5) W.pv U.pv<-pv(U$result$index,optm=0) U.pv B.pv<-pv(B$result$index,optm=0) B.pv ##Compute total forest saptial structrue heterogeneity #based on the average of indices preference value IAVE<-pv(index=c(M$meanI,H$meanI,S$meanI,Q$meanI, C$meanI,W$meanI,U$meanI,B$meanI), optm=c(1,1,1,1,0.5,0.5,0,0)) IAVE ##Compute total forest saptial structrue heterogeneity #based on the preference value of indices average IPVE=mean(M.pv,H.pv,S.pv,Q.pv,C.pv,W.pv,U.pv,B.pv) IPVE ```

forestSAS-package