MarinaGolivets

# GP Oekologie 2022
# Ingolf Kühn & Marina Golivets


# install & load R packages ------------------------------------------------------------------------

rm(list = ls())

# packages that we need for analyses
pkgs <- c(

MarinaGolivets

# load packages
library(rvest)
library(here)

# create a new forder for storing data
folder_name <- here(paste0("leda_", lubridate::today()))
dir.create(folder_name)

# extract URLs and download files
read_html("https://uol.de/en/landeco/research/leda/data-files") %>%

MarinaGolivets

# as input, provide a vector of verbatim taxon names (preferably with authorship)
#               and a vector of existing local identifiers for those names

# load R packages
library(dplyr)
library(tidyr)

match_to_gbif.fn <- function(taxon_name, taxon_id, include_genus = FALSE) {
  
  # perform initial matching in parallel