GRSin: Geographical representativeness score in situ

In GapAnalysis: Conservation Indicators Using Spatial Information

Geographical representativeness score in situ

Description

The GRSin process provides a geographic measurement of the proportion of a species’ range that can be considered to be conserved in protected areas. The GRSin compares the area of the distribution model located within protected areas versus the total area of the model, considering comprehensive conservation to have been accomplished only when the entire distribution occurs within protected areas.

Usage

GRSin(taxon, sdm, protectedAreas)

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
protectedAreas	A terra rast object the contian spatial location of protected areas.

Value

A list object containing 1. results : a data frames of values summarizing the results of the function 2. protectAreaMask : a terra rast object showing all the protected areas within the distribution 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 Raster_list
data(CucurbitaRasts)
##Obtaining protected areas raster
data(ProtectedAreas)

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

#Running GRSin
grs_insitu <- GRSin(taxon = taxon,
                    sdm = sdm,
                    protectedAreas = protectedAreas
                    )

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