Man pages for courtiol/rangeRinPA
Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations
| add_continents | Add continent to a table |
| add_Matern | Add Matern to formula |
| aggregate_metrics | Aggregate the accuracy metrics |
| build_training_data | Build the training datasets |
| check_losses | Count missing values and missing PA |
| clipout_polygon | Remove polygon at a given location from a set of polygons |
| compute_distance | Compute the distance (or inverse distance) between locations |
| compute_metrics | Compare predictions and observations using various metrics |
| compute_tally | Compute tally |
| data_rangers | Ranger data |
| data_rangers_with_geo | Ranger data with polygons |
| data_test | Test data |
| delog1p | Unstranform log1p variable |
| drop_logs | Drop logs from formula |
| extract_finetuning | Extract and format the finetuning results produced by the... |
| extract_PA_areas | Internal function used to extract PA_areas at the level of... |
| extract_polygon | Extract polygon at a given location from a set of polygons |
| extract_predictions_info | Extract info on predictions datasets |
| extract_results | Extract and format the results produced by the workflow |
| extract_training_info | Extract training data info |
| feature_selection_LMM | Perform feature selection on LMMs |
| feature_selection_RF | Perform feature selection on RFs |
| fetch_data | Fetch the data from the Google sheet |
| fill_PA_area | Impute missing personnel numbers proportionally to the known... |
| finetune_LMM | Fine tune LMM |
| finetune_RF | Fine tune the parameters of a random forest |
| formula_top_pred_LMM | Build formula from top predictors |
| formula_top_pred_RF | Build formula from top predictors |
| package_info | Provide some basic information about the code of the package |
| pipe | Pipe operator |
| plot_density_panel | Plot densities of rangers and all personnel |
| plot_density_staff | Plot densities of rangers or all personnel |
| plot_density_vs_PA | Plot densities of staff vs area PA |
| plot_density_vs_PA_panel | Plot densities of personnel and rangers vs area PA |
| plot_density_vs_sampling | Plot the density of staff against the sampling intensity |
| plot_features_selected | Plot the output of the selection of predictors fits |
| plot_features_selection | Plot the influence of the selection of predictors on the RMSE |
| plot_features_selection_panel | Plot the influence of the selection of predictors on the RMSE |
| plot_finetuning | Plot the influence of the fine tuning parameters for RF/ETs... |
| plot_map_reliability | Plot the map for the reliability score |
| plot_map_sampling | Plot the map of the sampling design |
| plot_PA_by_data_type | Plot details about estimations in terms of PA |
| plot_projections | Plot projections for required numbers |
| plot_reliability_vs_sampling | Plot the reliability score against the sampling intensity |
| plot_tallies_across_continents | Plot details about estimations |
| plot_tallies_across_methods | Plot tallies across methods |
| prepare_data | Create train and test datasets given a formula and data |
| prepare_grid_finetuning | Internal function used to prepare the grid of the parameters... |
| prepare_vars | Identify variables available for focal countries |
| rangeRinPA-package | Protected Area Personnel and Ranger Numbers are Insufficient... |
| rank_predictors_LMM | Extract top predictors |
| rank_predictors_RF | Extract top predictors |
| run_LMM_workflow | Run the full workflow for LMM |
| run_RF_workflow | Run the full workflow for RF |
| single_summary_internal | An internal function fetching the results at the country... |
| table_completeness_km2 | Create completeness table (km2) |
| table_completeness_obs | Create completeness table (observations) |
| table_completeness_vars | Create completeness table (variables) |
| table_core_data | Create core data table |
| table_correlates | Create table with correlations between variables |
| table_predictions_data | Create table with info on predictions datasets |
| table_predictions_per_continent | Create table with predictions (per continent) |
| table_predictions_per_country | Create table with predictions (per country) |
| table_predictions_per_method | Create table with predictions (per method) |
| table_predictions_summary | This function creates the table that shows the point... |
| table_projections | This function creates the table that shows the requirements... |
| table_training_final | Create table with info on final training datasets |
| table_training_initial | Create table with info on initial training datasets |
| table_tuning | Create table with info on fine tuning |
| totitle | Mixed case capitalizing |
| validate_LMM | Compute accuracy metrics on test set for LMM |
| validate_RF | Compute accuracy metrics on test set for RF |
