Reference

All functions
add_cover()	Generate best guess of cover for each taxa*context
add_height()	Generate best guess of height for each taxa*context
add_lifeform()	Generate best guess of lifeform for each taxa*context
aoi	Simple feature to define a geographic area of interest.
bin_taxa()	Add taxa column
cleaning_summary()	Describte change in taxa, records, visits and sites between cleaning steps
cleaning_text()	Write a sentence describing change in taxa, records, visits and sites between two cleaning steps
filter_counts()	Filter any context with less instances than a threshold value
filter_geo_range()	Filter a dataframe with e/n or lat/long to an area of interest polygon (sf)
filter_prop()	Filter taxa recorded at less than x percent of visits
filter_taxa()	Clean/Tidy to one row per taxa*Visit
filter_text_col()	Filter a dataframe column on character string(s)
find_outliers()	Find local outliers
find_taxa()	Find how taxa changed through the cleaning/filtering/tidying process
flor_all	Example of data combined from several data sources.
get_taxonomy()	Get GBIF backbone taxonomy
luclean	Dataframe of cleaning steps
lurank	Dataframe of taxonomic ranks
make_attribute()	Title
make_con_status()	Make conservation status from existing status codes
make_cover()	Make a single (numeric, proportion) cover column from different sorts of input cover
make_effort_mod()	Distribution of credible values for taxa richness.
make_effort_mod_pca()	Model the effect of principal components axes on taxa richness.
make_env_pca()	Principal components analysis and various outputs from environmental data
make_gbif_taxonomy()	Make taxonomy lookups
make_ind_status()	Make indigenous status lookup
make_lifeform()	Get unique lifeform across taxa, perhaps including further context
make_taxonomy()	Get taxonomy via galah::taxa_search()
rec_vis_sit_tax()	How many records, visits, sites and taxa in a dataframe
reduce_geo_rel()	Reduce data frame to a single spatial reliability within a context
taxonomy_overrides	Manual taxonomic overrides