Description Usage Arguments See Also Examples
Global richness map data (i.e. number of different species per cell), optionally filtered for taxonomy and a preferred probability threshold
1 | am_species_per_csc(csc, min_prob = 0.5, keys = NULL)
|
csc |
a vector of strings with CsquareCodes (grid cell identifiers) |
min_prob |
a numeric with the threshold for probable occurrence, default 0.5 |
keys |
a vector of string with SpeciesID values |
Other spatial:
am_csc_from_extent()
,
am_map_leaflet()
,
am_raster()
,
am_species_in_csc()
,
csquare_from_dd()
,
csquare_to_dd()
,
rasterize_coords()
,
which_cells_in_raster()
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
# distinct number of species in a specific grid cell
am_species_per_csc("7516:236:1", 0.99)
# distinct species count per grid cells in LME 1
csc <- am_hcaf() %>% filter(LME == 1) %>% collect() %>% pull(CsquareCode)
am_species_per_csc(csc, 0.9)
# global richness map data based on taxonomy
keys <- am_search_exact(Family = "Carangidae")$SpeciesID
am_species_per_csc(keys = keys, min_prob = 0.9)
## End(Not run)
|
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