Uses a fitted tidymodels workflow (from h3sdm_fit_model or a standalone workflow)
to predict species presence probabilities on a new spatial H3 grid.
Automatically generates centroid coordinates (x and y) if missing.
The new_data must contain the same predictor variables as used in model training.
Usage
h3sdm_predict(fit_object, new_data)
Arguments
- fit_object
A fitted tidymodels workflow or the output list from h3sdm_fit_model.
- new_data
An sf object containing the spatial grid and the same predictor variables used for model training.
Value
An sf object with the original geometry and a new column prediction containing
the predicted probability of presence for each hexagon.
Examples
if (FALSE) { # \dontrun{
# Predict presence probabilities on a new hex grid
predictions_sf <- h3sdm_predict(
fit_object = fitted_model,
new_data = grid_sf
)
} # }