Occurence data
Completion requirements
In this first module we will see where to find occurrence data (if you don’t have your own), how to download them. Furthermore we will focus of cleaning and validation procedures in order to have a suitable dataset to be use in module 2.
Visual check and filtering of data with IUCN EOOs Step 3/4
Many records fall outside the native range. We will refine the dataset removing those records:
> krameri_sp<-SpatialPoints(xy)
> ov<-over(krameri_sp, krameri_EOO)
> krameri<-krameri[!is.na(ov[,1]),]
And we plot again the occurrences on the map:
> plot(wrld_simpl)
> plot(krameri_EOO, col="cyan", add=T)
> xy<-cbind(krameri$lon,krameri$lat)
> points(xy, pch=21, bg="red",cex=0.5)
Figure 1.3: The occurences of P. krameri after the removal of occurrences falling outside the native range