R: Species Distribution Modeling with H3 Grids

# Species Distribution Modeling with H3 Grids

## Documentation for package ‘h3sdm’ version 0.1.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bioclim_current | Current bioclimatic raster
bioclim_future | Future bioclimatic raster
cr_outline | Costa Rica Full Outline (Continental + Islands)
cr_outline_c | Costa Rica Continental Outline
h3sdm_aoa | Area of Applicability (AOA) of spatial prediction models
h3sdm_calculate_it_metrics | Calculate Information Theory Landscape Metrics for Hexagonal Grid
h3sdm_classify | Classify predictions based on an optimal threshold
h3sdm_compare_models | Compare multiple H3SDM species distribution models
h3sdm_count_from_records | Generate species richness or abundance count dataset from records
h3sdm_data | Combine species and environmental data for SDMs using H3 grids
h3sdm_eval_metrics | Evaluate performance metrics for a fitted H3SDM model
h3sdm_explain | Create a DALEX explainer for h3sdm workflows
h3sdm_extract_cat | Calculate Area Proportions for Categorical Raster Classes
h3sdm_extract_num | Extract Area-Weighted Mean from Numeric Raster Stack
h3sdm_filter_outliers | Filter environmental outliers from presence records using Mahalanobis distance
h3sdm_filter_range | Filter predictions outside the univariate range of training data
h3sdm_fit_model | Fits an SDM workflow to data using resampling and prepares it for stacking.
h3sdm_fit_models | Fit and evaluate multiple H3SDM species distribution models
h3sdm_get_grid | Generar cuadrícula H3 para un área de interés
h3sdm_get_records | Query Species Occurrence Records within an H3 Area of Interest (AOI)
h3sdm_get_records_by_hexagon | Download Species Records and Count Occurrences per H3 Hexagon
h3sdm_pa | Generate presence/pseudo-absence dataset stratified in environmental space
h3sdm_pa_from_records | Generate presence/pseudo-absence dataset from user-provided records
h3sdm_predict | Predict species presence probability or counts using H3 hexagons
h3sdm_predictors | Combine Predictor Data from Multiple sf Objects
h3sdm_pres | Assign species presence records to H3 hexagons
h3sdm_pres_from_sf | Assign pre-downloaded species presence records to H3 hexagons
h3sdm_recipe | Create a tidymodels recipe for H3-based SDMs
h3sdm_recipe_gam | Creates a 'recipe' object for Generalized Additive Models (GAM) in SDM
h3sdm_spatial_cv | Create a spatial-aware cross-validation split for H3 data
h3sdm_stack_fit | Creates and fully fits an ensemble model (Stack).
h3sdm_workflow | Create a tidymodels workflow for H3-based SDMs
h3sdm_workflows | Create multiple tidymodels workflows for H3-based SDMs
h3sdm_workflow_gam | Creates a tidymodels workflow for Generalized Additive Models (GAM).
records | Presence/pseudo-absence records for Silverstoneia flotator