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 a polygon for [iterate()] |

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 |

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