SRSin: Sampling representativeness score in situ

In GapAnalysis: Conservation Indicators using Spatial Information

Description

The SRSin process calculates the proportion of all occurrences of a taxon falling within the distribution model that also fall within a protected area

Usage

SRSin(
  Species_list,
  Occurrence_data,
  Raster_list,
  Pro_areas = NULL,
  Gap_Map = FALSE
)

Arguments

Species_list	A vector of characters with the species names to calculate the GRSex metrics.
Occurrence_data	A data frame object with the species name, geographical coordinates, and type of records (G or H) for a given species
Raster_list	A list of rasters representing the species distribution models for the species list provided in Species_list. The order of rasters in this list must match the same order as Species_list.
Pro_areas	A raster file representing protected areas information. If Pro_areas=NULL the function will use a protected area raster file provided for your use after run GetDatasets()
Gap_Map	logical, if TRUE the function will calculate gap maps for each species analyzed and will return a list with two slots SRSin and gap_maps

Value

This function returns a data frame with two columns:

species	Species name
SRSin	SRSin value calculated

References

Khoury et al. (2019) Diversity and Distributions 26(2):209-225. doi: 10.1111/DDI.13008.

Examples

##Obtaining occurrences from example
data(CucurbitaData)
##Obtaining species names from the data
Cucurbita_splist <- unique(CucurbitaData$species)
##Obtaining Raster_list
data(CucurbitaRasters)
CucurbitaRasters <- raster::unstack(CucurbitaRasters)
##Obtaining protected areas raster
data(ProtectedAreas)
#Running SRSin
SRSin_df <- SRSin(Species_list = Cucurbita_splist,
                    Occurrence_data = CucurbitaData,
                    Raster_list=CucurbitaRasters,
                    Pro_areas=ProtectedAreas,
                    Gap_Map=FALSE)

GapAnalysis documentation built on June 14, 2021, 9:07 a.m.