#' Spatial thinning for biodiversity records
#'
#' @ indat = input dataframe containing biodiversity records
#' @ sp= colunm name for species
#' @ thindist = thinning distance i.e. spacing between records
#' @nrep = number of replicates
#'
thin_wrap<-function(indat,sp,thindist,nrep){
sp.l<-unique(indat[,sp])
finalresults<-NULL
for (i in 1:length(sp.l)){
cat(paste("Thinning -", sp.l[i]))
cat("\n")
spdat<-indat[indat[,sp] %in% sp.l[i],]
th1<-thin(loc.data = spdat,lat.col = "lat", long.col = "lon",
spec.col = sp, thin.par = thindist, reps = nrep,
locs.thinned.list.return = TRUE, write.files = FALSE,
write.log.file = FALSE)
result<-NULL
for (b in 1:length(th1)){
df<-data.frame(veclen=dim(th1[[b]])[1],elem=b)
result<-rbind(df,result)
}
maxdf<-subset(result,veclen==max(result$veclen))
thilatlon<-th1[[maxdf[1,]$elem]]
colnames(thilatlon)<-c("lon","lat")
spdat1<-merge(spdat,thilatlon)
finalresults<-rbind(spdat1,finalresults)
}
return(finalresults)
}
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