## ----------------------------------------------------------------------------- library(phyloregion) ## ----fig.align="left", fig.cap="__Figure 2.__ Phylogenetic tree of the woody plants of southern Africa inferred from DNA barcodes using a maximum likelihood approach and transforming branch lengths to millions of years ago by enforcing a relaxed molecular clock and multiple calibrations [@Daru2015ddi]."---- library(ape) library(Matrix) library(terra) data(africa) sparse_comm <- africa$comm tree <- africa$phylo tree <- keep.tip(tree, intersect(tree$tip.label, colnames(sparse_comm))) par(mar=c(2,2,2,2)) plot(tree, show.tip.label=FALSE) ## ----------------------------------------------------------------------------- s <- vect(system.file("ex/nigeria.json", package="phyloregion")) set.seed(1) m <- as.data.frame(spatSample(s, 1000, method = "random"), geom = "XY")[-1] names(m) <- c("lon", "lat") species <- paste0("sp", sample(1:100)) m$taxon <- sample(species, size = nrow(m), replace = TRUE) pt <- points2comm(dat = m, res = 0.5, lon = "lon", lat = "lat", species = "taxon") # This generates a list of two objects head(pt[[1]][1:5, 1:5]) ## ----------------------------------------------------------------------------- s <- vect(system.file("ex/nigeria.json", package="phyloregion")) sp <- random_species(100, species=5, pol=s) pol <- polys2comm(dat = sp) head(pol[[1]][1:5, 1:5]) ## ----------------------------------------------------------------------------- fdir <- system.file("NGAplants", package="phyloregion") files <- file.path(fdir, dir(fdir)) ras <- rast2comm(files) head(ras[[1]][1:5, 1:5]) ## ----fig.align="left", fig.cap="__Figure 3.__ Species richness of plants in Nigeria across equal area grid cells. This is to demonstrate how the function `plot` works.", out.width = '50%'---- s <- vect(system.file("ex/SR_Naija.json", package="phyloregion")) par(mar=rep(0,4)) plot(s, "SR", border=NA, type = "continuous", col = hcl.colors(20, palette = "Blue-Red 3", rev=FALSE)) ## ----eval=TRUE---------------------------------------------------------------- library(Matrix) data(africa) sparse_comm <- africa$comm dense_comm <- as.matrix(sparse_comm) object.size(dense_comm) object.size(sparse_comm) ## ----fig.align="left", fig.cap="__Figure 4.__ Geographic distributions of weighted endemism for woody plants of southern Africa.", out.width = '50%'---- library(terra) data(africa) p <- vect(system.file("ex/sa.json", package = "phyloregion")) Endm <- weighted_endemism(africa$comm) m <- merge(p, data.frame(grids=names(Endm), WE=Endm), by="grids") m <- m[!is.na(m$WE),] par(mar=rep(0,4)) plot(m, "WE", col = hcl.colors(20, "Blue-Red 3"), type="continuous", border = NA) ## ----fig.align="left", fig.cap="__Figure 5.__ Geographic distributions of phylogenetic diversity for woody plants of southern Africa.", out.width = '50%'---- data(africa) comm <- africa$comm tree <- africa$phylo poly <- vect(system.file("ex/sa.json", package = "phyloregion")) mypd <- PD(comm, tree) head(mypd) M <- merge(poly, data.frame(grids=names(mypd), pd=mypd), by="grids") M <- M[!is.na(M$pd),] head(M) par(mar=rep(0,4)) plot(M, "pd", border=NA, type="continuous", col = hcl.colors(20, "Blue-Red 3")) ## ----fig.align="left", fig.cap="__Figure 6.__ Geographic distributions of phylogenetic endemism for woody plants of southern Africa.", out.width = '50%'---- library(terra) data(africa) comm <- africa$comm tree <- africa$phylo poly <- vect(system.file("ex/sa.json", package = "phyloregion")) pe <- phylo_endemism(comm, tree) head(pe) mx <- merge(poly, data.frame(grids=names(pe), pe=pe), by="grids") mx <- mx[!is.na(mx$pe),] head(mx) par(mar=rep(0,4)) plot(mx, "pe", border=NA, type="continuous", col = hcl.colors(n=20, palette = "Blue-Red 3", rev=FALSE)) ## ----fig.align="left", fig.cap="__Figure 7.__ Geographic distributions of evolutionary distinctiveness and global endangerment for woody plants of southern Africa.", out.width = '50%'---- data(africa) comm <- africa$comm threat <- africa$IUCN tree <- africa$phylo poly <- vect(system.file("ex/sa.json", package = "phyloregion")) x <- EDGE(threat, tree, Redlist = "IUCN", species="Species") head(x) y <- map_trait(comm, x, FUN = sd, pol=poly) par(mar=rep(0,4)) plot(y, "traits", border=NA, type="continuous", col = hcl.colors(n=20, palette = "Blue-Red 3", rev=FALSE)) ## ----------------------------------------------------------------------------- data(africa) p <- vect(system.file("ex/sa.json", package = "phyloregion")) sparse_comm <- africa$comm tree <- africa$phylo tree <- keep.tip(tree, intersect(tree$tip.label, colnames(sparse_comm))) pb <- phylobeta(sparse_comm, tree) ## ----message=FALSE, results='hide', warning=FALSE----------------------------- y <- phyloregion(pb[[1]], pol=p) ## ----------------------------------------------------------------------------- plot_NMDS(y, cex=3) text_NMDS(y) par(mar=rep(0,4)) plot(y, palette="NMDS") ## ----eval=TRUE---------------------------------------------------------------- sessionInfo()