subpop.comp: Subpopulations computation following Circular buffer method

Description Usage Arguments Details Value Author(s) References Examples

View source: R/IUCNeval.functionv11.R

Description

Compute subpopulations follwing the Circular buffer method (see reference)

Usage

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subpop.comp(XY,Resol_sub_pop)

Arguments

XY

Dataframe, coordinates in decimal degrees of one species, latitude in first colum,, longitude in second column

Resol_sub_pop

Numeric, radius of circles in kilometres

Details

Circular buffer method of Rivers et al. 2010 Each unique occurrence is buffered with a circle of a radius of Resol_sub_pop km. Overlapping circles are merged to form a single subpopulation, while non-overlapping circles are considered as separate subpopulations.

Value

A list, two elements:

  1. first element The number of subpopulation

  2. second element A shapefile of the subpopulations

Author(s)

Gilles Dauby

References

Rivers CM, Bachman SP & Meagher TR, 2010, Subpopulations, locations and fragmentation: applying IUCN red list criteria to herbarium specimen data, Biodiversity Conservation 19:2071-2085

Examples

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## Not run: 
data(dataset.ex)
data(land)

SUB <- subpop.comp(dataset.ex, Resol_sub_pop=25)
plot(SUB[["Platycoryne guingangae"]][["subpop.poly"]], col="red")
plot(land, add=TRUE)

## End(Not run)

ConR documentation built on Oct. 30, 2019, 11:30 a.m.