h3sdm_pa_from_records(): generates a
presence/pseudo-absence dataset from user-provided records. Accepts a
data.frame or sf object with coordinates in
WGS84 (EPSG:4326). Supports optional filtering by a
geospatialKosher column to remove records with questionable
spatial quality.
h3sdm_count_from_records(): generates a hexagonal
grid with count-based response variables (species richness, total
detections, or individual abundance) from user-provided records. Accepts
a data.frame or sf object. Supports optional
filtering by presence column, confidence threshold, and date
range.
h3sdm_recipe(): added response_col
parameter (default "presence") to support count-based
response variables. Use response_col = "count" when working
with data generated by h3sdm_count_from_records().
h3sdm_recipe_gam(): added response_col
parameter (default "presence") with the same behavior as
h3sdm_recipe(). Also added documentation examples for both
presence/absence and count-based models.
h3sdm_workflow_gam(): updated documentation to
clarify the use of set_mode("classification") for
presence/absence models and set_mode("regression") with
family = poisson() for count-based models.
h3sdm_workflow(): updated documentation to clarify
model mode selection for presence/absence and count-based
models.
h3sdm_workflows(): updated documentation to clarify
model mode selection for presence/absence and count-based
models.