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Core gcube workflow functions

add_coordinate_uncertainty()
Add coordinate uncertainty to observations
filter_observations()
Filter detected occurrences
grid_designation()
Observations to grid designation to create a data cube
sample_observations()
Sample observations from a larger occurrence dataset
simulate_occurrences()
Simulate species occurrences within a spatiotemporal scope

Mapping core gcube workflow functions

generate_taxonomy()
Generate a taxonomic hierarchy
map_add_coordinate_uncertainty()
Map add_coordinate_uncertainty() over multiple species
map_filter_observations()
Map filter_observations() over multiple species
map_grid_designation()
Map grid_designation() over multiple species
map_sample_observations()
Map sample_observations() over multiple species
map_simulate_occurrences()
Map simulate_occurrences() over multiple species

Occurrence process supporting functions

create_spatial_pattern()
Create spatial pattern within a polygon
sample_occurrences_from_raster()
Sample occurrences from spatial random field
simulate_random_walk()
Simulate a random walk over time
simulate_timeseries()
Simulate timeseries for species occurrences

Detection process supporting functions

apply_manual_sampling_bias()
Apply manual sampling bias to occurrences via a grid
apply_polygon_sampling_bias()
Apply sampling bias to occurrences via a polygon

Grid designation process supporting functions

sample_from_binormal_circle()
Sample from a circle using the bivariate Normal distribution
sample_from_uniform_circle()
Sample from a circle using the Uniform distribution

Mapping functions supporting function

map_simulation_functions()
Map a cube simulation function over multiple rows of a dataframe