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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