Create multiple tidymodels workflows for H3-based SDMs

Creates a list of tidymodels workflows from multiple model specifications and a prepared recipe. This is useful for comparing different modeling approaches in species distribution modeling using H3 hexagonal grids. The returned workflows can be used for model fitting and resampling.

Usage

h3sdm_workflows(model_specs, sdm_recipe)

Arguments

model_specs: A named list of tidymodels model specifications (e.g., logistic_reg(), rand_forest(), boost_tree()), where each element specifies a different modeling approach to be included in the workflow set.
sdm_recipe: A tidymodels recipe object, typically created with h3sdm_recipe(), which prepares and preprocesses the data for modeling.

Value

A named list of workflow objects, one per model specification.

Details

This function automates the creation of workflows for multiple model specifications. Each workflow combines the same preprocessing steps (recipe) with a different modeling method. This facilitates systematic comparison of models and is especially useful in ensemble and stacking approaches.

Examples

if (FALSE) { # \dontrun{
library(parsnip)

# Define model specifications
mod_log <- logistic_reg() %>%
  set_mode("classification") %>%
  set_engine("glm")

mod_rf <- rand_forest() %>%
  set_mode("classification") %>%
  set_engine("ranger")

# Named list of models
model_list <- list(logistic = mod_log, rf = mod_rf)

# Prepare recipe
my_recipe <- h3sdm_recipe(combined_data)

# Create workflows
workflows <- h3sdm_workflows(model_specs = model_list, sdm_recipe = my_recipe)
} # }