urban_records_extract: This function takes a data frame from Ubran sources (e.g....
In HMB3/sdmgen: Rapidly estimate species ranges and habit sutiability

Description Usage Arguments Value

This function takes a data frame from Ubran sources (e.g. I-naturalist), and extracts enviro values. It assumes that the urban dataframe has these columns : species, lat, lon, Country, INVENTORY, SOURCE

urban_records_extract(
  urban_df,
  species_list,
  thin_records,
  template_raster,
  world_raster,
  prj,
  biocl_vars,
  env_vars,
  worldclim_grids,
  save_data,
  data_path,
  save_run
)

`urban_df`	Data.frame of Urban records (only used if you have urban data, e.g. I-naturalist)
`species_list`	Character string - List of species analysed, used to cut the dataframe down
`thin_records`	Do you want to thin the records out? If so, it will be 1 record per 1km*1km grid cell
`template_raster`	A global R Raster used to thin records to 1 record per 1km grid cell
`world_raster`	An global R Raster of the enviro conditions used to extract values for all records
`prj`	The projection system used. Currently, needs to be WGS84
`biocl_vars`	The variables used - eg the standard bioclim names (https://www.worldclim.org/).
`env_vars`	The actual anmes of the variables (e.g. bio1 = rainfall, etc.) Only needed for worldlcim
`worldclim_grids`	Are you using worldclim stored as long intergers? If so, divide by 10.
`save_data`	Do you want to save the data frame?
`data_path`	The file path used for saving the data frame
`save_run`	Character string - run name to append to the data frame (e.g. bat species, etc.). Useful for multiple runs.