1d:T788,# get_edge A function to get the WEGE index value for a provided polygon. ```r get_edge( target_area, input, x, y, species = "binomial", ed = "ED", category = "category", res = 1 ) ``` ## Arguments - `target_area`: Either a sp or sf object to which to calculate the WEGE index. - `input`: Species ranges, either from a shapefile or from a georeferenced species list with a column for species, two columns for coordinates and one for the IUCN category. - `x`: name of the longitude column. - `y`: name of the latitude column. - `species`: name of the species column. - `ed`: name of the evolutionary distinctiveness column. - `category`: name of IUCN the category column. Terminology must be as follows: DD for Data Deficient, LC for Least Concern, NT for Near Threatened, EN, for Endangered, CR for Critically Endangered, EW for Extinct in the wild and EX for Extinct. - `res`: grid-cell size to use to calculate the range of the species in case a georeferenced species list was provided. ## Returns a value corresponding to the EDGE score of the provided target_area ## Examples ```r library(WEGE) library(sp) library(sf) species <- letters[1:26] range_list <- list() for (i in seq_along(species)) { temp0 <- cbind(runif(3,1,50),runif(3,1,50)) temp <- Polygon(rbind(temp0,temp0[1,])) range_list[[i]] <- Polygons(list(temp), ID = c(species[i])) } input <- st_as_sf(SpatialPolygons(range_list)) categories <- c('LC','NT','VU','EN','CR') input$binomial <- species input$category <- sample(size = nrow(input),x = categories,replace = TRUE) input$ED <- runif(nrow(input),1,30) temp0 <- cbind(runif(3,1,50),runif(3,1,50)) target_area <- Polygon(rbind(temp0,temp0[1,])) target_area <- Polygons(list(target_area), ID = 'Target area') target_area <- st_as_sf(SpatialPolygons(list(target_area))) get_edge(target_area = target_area,input = input,species = 'binomial',category = 'category') ```

get_edge function