pseudo.absent.points {NicheBarcoding} | R Documentation |
Generation of pseudo absent points for niche model building
Description
Randomly generate pseudo points outside the 95%CI of the ecological space of the present data when there is no absent data for building a niche model.
Usage
pseudo.absent.points(data, outputNum = 500, en.vir = NULL, map = TRUE)
Arguments
data |
Data frame, longitude and latitude of a single species. |
outputNum |
Numeric, the expected number of points. |
en.vir |
RasterBrick, the globle bioclimate data obtained from "raster::getData" function. |
map |
Logical. Should a map be drawn? |
Value
A data frame of simulated pseudo points.
A data frame of bioclimate variables of each pseudo points.
Author(s)
Cai-qing YANG (Email: yangcq_ivy(at)163.com) and Ai-bing ZHANG (Email:zhangab2008(at)cnu.edu.cn), Capital Normal University (CNU), Beijing, CHINA.
Examples
data(en.vir)
#envir<-raster::getData("worldclim",download=FALSE,var="bio",res=2.5)
#en.vir<-raster::brick(envir)
data<-data.frame(species=rep("Acosmeryx anceus",3),
Lon=c(145.380,145.270,135.461),
Lat=c(-16.4800,-5.2500,-16.0810))
absent.points<-pseudo.absent.points(data,en.vir=en.vir,outputNum=100)
head(absent.points$lonlat)
head(absent.points$envir)
[Package NicheBarcoding version 1.0 Index]