Converts species occurrence/abundance data into multi-resolution H3 hexagonal
bins with aggregated statistics and geometries for mapping.
Usage
prep_sp_hex(df_sp, res_range)
Arguments
- df_sp
dbplyr lazy table with columns: hex_h3res*, std_tally
- res_range
Integer vector of H3 resolution levels to generate (e.g., 3:5)
Value
List of sf objects, one per resolution level, each with columns:
resolution - H3 resolution level
hexid - H3 hexagon identifier
sp.value - mean standardized tally
tooltip - rounded value for display
geometry - sf geometry (hexagon polygon)
Details
This function uses dbplyr lazy evaluation to efficiently aggregate data
across multiple H3 resolutions via union_all. Geometries are joined
from a pre-computed sf object (sf_hex).
Examples
if (FALSE) { # \dontrun{
df_sp <- get_sp("Anchovy (Engraulis mordax)", qtr = 1:4, date_range = c("2000-01-01", "2020-12-31"))
sp_hex <- prep_sp_hex(df_sp, res_range = 3:5)
} # }
