data(treecloud_vox)
#-projection in "xy" plan
proj <- project(treecloud_vox,dim="xy")
#-creating vectors with interests variables
npts <- c(proj[,4])
nvox <- c(proj[,3])
ratio <- c(proj[,5])
#-discretisation level
# by quantiles (20% quantiles or 25% quantiles)
lev_vox <- level(nvox,by="quantiles",levels=c(0.2))
lev_ratio <- level(ratio,by="quantiles",levels=c(0.25))
# by percents
lev_pts <- level(npts,by="percents",levels=c(0.2,0.4,0.6,0.8))
#- computing surfaces
# surface in proportion
surf_nvox <- surface(proj,method="nvox",levels=lev_vox,res=0.02,proportion=TRUE)
# surface in absolute
surf_ratio <- surface(proj,method="ratio",levels=lev_ratio,res=1,proportion=FALSE)
# surface in absolute
surf_npts <- surface(proj,method="npts",levels=lev_pts,res=0.02,proportion=FALSE)
#- ploting raster images
par(mfrow=c(1,1),mai=c(1,0,1,0),omi=c(0,1,0,0))
raster.proj(proj,title="nvox",res=0.02,method="nvox",levels=lev_vox,
colors=c("lightblue","green","yellow","red","purple"),
contour=TRUE,surf=surf_nvox,dim="xy")
raster.proj(proj,title="npts",res=0.02,method="npts",levels=lev_pts,
colors=c("lightblue","green","yellow","red","purple"),
contour=TRUE,surf=surf_npts,dim="xy")
raster.proj(proj,title="ratio",res=0.02,method="ratio",levels=lev_ratio,
colors=c("lightblue","green","yellow","red"),
contour=TRUE,surf=surf_ratio,dim="xy")
####################################################################################
#>>>>> Easy way : define level using the 99 percentile help to stabilize the results
npts_perc <- quantile(npts,probs=seq(0,1,0.01))[100]
npts_norm_perc <- subset(npts,npts<npts_perc)
lev_perc <- level(npts_norm_perc,by="quantiles",levels=c(0.2))
lev_perc[5] <- lev_pts[5]
surf_npts_perc <- surface(proj,method="npts",levels=lev_perc,res=0.02,proportion=FALSE)
raster.proj(proj,title="npts 99perc",res=0.02,method="npts",levels=lev_perc,
colors=c("lightblue","green","yellow","red","purple"),
contour=TRUE,surf=surf_npts_perc,dim="xy")
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