combine_records_extract: This function combines occurrence files from ALA and GBIF...
In HMB3/sdmgen: Rapidly estimate species ranges and habit sutiability

Description Usage Arguments Value

This function combines occurrence files from ALA and GBIF into one table, and extracts enviro values. It assumes that both files come from the previous GBIF/ALA combine function.

combine_records_extract(
  ala_df,
  gbif_df,
  urban_df,
  add_urban,
  species_list,
  template_raster,
  thin_records,
  world_raster,
  prj,
  biocl_vars,
  env_vars,
  worldclim_grids,
  save_data,
  data_path,
  save_run
)

`ala_df`	Data frame of ALA records
`gbif_df`	Data frame of GBIF records
`urban_df`	Data frame of Urban records (only used if you have urban data, e.g. I-naturalist)
`species_list`	List of species analysed, used to cut the dataframe down
`template_raster`	A global R Raster used to thin records to 1 record per 1km grid cell
`thin_records`	Do you want to thin the records out? If so, it will be 1 record per 1km*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 variable names (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`	A run name to append to the data frame (e.g. bat species, etc.). Useful for multiple runs.