Calculate Observed Species Richness Over Space

This function calculates observed species richness over a gridded map.

Usage

obs_richness_map(data, ...)

data

A data cube object (class 'processed_cube').

...

Arguments passed on to compute_indicator_workflow

cell_size: Length of grid cell sides, in km. (Default: 10 for country, 100 for continent or world)
level: Spatial level: 'continent', 'country', or 'world'. (Default: 'continent')
region: The region of interest (e.g., "Europe"). (Default: "Europe")
output_crs: The CRS you want for your calculated indicator. (Leave blank to let the function choose a default based on grid reference system)
first_year: Exclude data before this year. (Uses all data in the cube by default.)
last_year: Exclude data after this year. (Uses all data in the cube by default.)
spherical_geometry: If set to FALSE, will temporarily disable spherical geometry while the function runs. Should only be used to solve specific issues. (Default is TRUE)
make_valid: Calls st_make_valid() from the sf package. Increases processing time but may help if you are getting polygon errors. (Default is FALSE).

An S3 object with the classes 'indicator_map' and 'obs_richness' containing the calculated indicator values and metadata.

or_map <- obs_richness_map(example_cube_1, level = "country", region = "Denmark")
plot(or_map)