Man pages for obrl-soil/dsmartr
dsmartr: An R implementation of the DSMART algorithm
| calc_probabilities | Soil class probabilities |
| check_attributes | Check dsmartr input map attributes |
| class_maps | Produce soil class probability surfaces |
| collate | Collate dsmartr iterations |
| count_predictions | Soil class prediction counts |
| dsmartr-package | dsmartr: An R implementation of the DSMART algorithm |
| eval_npred | Calculate soil classes per pixel |
| eval_pgap | Calculate probability gap |
| eval_ties | Detect ties for most-probable soil |
| get_classes | Get all soil classes |
| heronvale_covariates | Data: Demonstration covariates for dsmartr |
| heronvale_known_sites | Data: Points where soil class is known |
| heronvale_soilmap | Data: Broadscale soil map of the Heronvale area |
| heronvale_soilnames | Data: Decoded soil class names |
| in_range | in range |
| iterate | Generate disaggregated soil maps |
| iter_sample_poly | Sample covariates under a polygon |
| most_likely | Extract most-likely-soil maps |
| n_predicted | Number of classes predicted |
| n_things | get items |
| order_counts | Order soil class counts |
| prediction_masks | generate masks from samples |
| prep_points | Prepare dsmartr points |
| prep_polygons | Prepare dsmartr polygons |
| sort_probabilities | Sort soil class probabilities |
| strict_cfp | get a list of cell numbers intersecting a polygon |
| tie_finder | Number of tied soil classes |
