GRSex: Geographical representativeness score ex situ

In GapAnalysis: Conservation Indicators Using Spatial Information

Geographical representativeness score ex situ

Description

The GRSex process provides a geographic measurement of the proportion of a species’ range that can be considered to be conserved in ex situ repositories. The GRSex uses buffers (default 50 km radius) created around each G coordinate point to estimate geographic areas already well collected within the distribution models of each taxon, and then calculates the proportion of the distribution model covered by these buffers.

Usage

GRSex(taxon, sdm, gBuffer)

Arguments

taxon	A character object that defines the name of the species as listed in the occurrence dataset
sdm	a terra rast object that represented the expected distribution of the species
gBuffer	A terra vect which encompases a specific buffer distance around all G points

Value

A list object containing 1. results : a data frames of values summarizing the results of the function 2. gGaps : a terra vect object showing buffered area about g points 3. map : a leaflet object showing the spatial results of the function

References

Khoury et al. (2019) Ecological Indicators 98:420-429. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ecolind.2018.11.016")} Carver et al. (2021) GapAnalysis: an R package to calculate conservation indicators using spatial information

Examples

##Obtaining occurrences from example
data(CucurbitaData)
##Obtaining Raster_list
data(CucurbitaRasts)
##Obtaining protected areas raster
data(ProtectedAreas)
## ecoregion features
data(ecoregions)

# convert the dataset for function
taxon <- "Cucurbita_cordata"
sdm <- terra::unwrap(CucurbitaRasts)$cordata
occurrenceData <- CucurbitaData

# generate the g buffer object
gBuffer <- generateGBuffers(taxon = taxon,
                            occurrenceData = occurrenceData,
                            bufferDistM = 50000)

#Running GRSex
grs_exsitu <- GRSex(taxon = taxon,
                    sdm = sdm,
                    gBuffer = gBuffer
                    )

GapAnalysis documentation built on May 12, 2026, 5:07 p.m.