# h3sdm 0.1.1

## New functions

* `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.

## Changes to existing functions

* `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.

# h3sdm 0.1.0

* Initial CRAN submission.


