Description Usage Arguments Value Author(s) References See Also Examples

Calculates spatially corrected, threshold-independent metrics for an observational data set and model predictions (AUC, ROC, max-TSS)

1 |

`data` |
A data frame or matrix with two columns. The first column should contain actual presence/absence data (binary, 0 or 1) and the second column should contain model predictions of probability of occurrence (numeric, between 0 and 1). |

`coord` |
A data frame or matrix with two columns containing x,y coordinates for each actual and predicted value. Coordinates must be integer and consecutively numbered. |

`spatial` |
A logical value indicating whether spatial corrected indices (rather than classical indices) should be computed. |

`plot.ROC` |
A logical indicating whether the ROC should be plotted. NOW DEPRECATED. |

`customize_plot` |
Additional plotting parameters passed to |

A list with the following components:

`AUC`

Area under curve

`opt.thresh`

optimal threshold for maximum TSS value

`TSS`

Maximum TSS value

`sensitivity`

Sensitivity

`Specificity`

Specificity

`AUC.plot`

A

`ggplot`

object

Gudrun Carl

Carl G, Kuehn I (2017) Spind: a package for computing spatially corrected accuracy measures. Ecography 40: 675-682. DOI: 10.1111/ecog.02593

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