Description Usage Arguments Details Value Author(s)

The Jaccard coefficient measures similarity between sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets. The Jaccard coefficient can be calculated for a subset of rasters provided by using the threshold argument.

1 2 |

`x` |
raster object. |

`y` |
raster object. |

`x.min` |
Numeric minimum threshold value for |

`x.max` |
Numeric maximum threshold value for |

`y.min` |
Numeric minimum threshold value for |

`y.max` |
Numeric maximum threshold value for |

`warn.uneven` |
Logical indicating whether a warning is raised if the compared raster coverages are very (>20x) uneven. |

`limit.tolerance` |
integer values that defines to which precision x and y limits are rounded to. This helps e.g. with values that close to 0 but not quite 0 (default: 4, i.e. round(x, 4)). |

`disable.checks` |
logical indicating if the input limit values are
checked against the actual raster values in |

Min and max values must be provided for both RasterLayer objects `x`

and `y`

. Method can be used with RasterLayers of any value range, but
the defaults [0.0, 1.0] are geared towards comparing Zonation rank priority
rasters. Limits provided are inclusive.

A numeric value [0, 1]

Joona Lehtomaki <[email protected]>

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