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

Calculates spatially corrected, threshold-dependent metrics for an observational data set and model predictions (Kappa and confusion matrix)

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`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. |

`thresh` |
A cutoff value for classifying predictions as modeled presences or modeled absences. Default is 0.5. |

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

A list with the following components:

`kappa`

Kappa statistic

`cm`

Confusion matrix

`sensitivity`

Sensitivity

`specificity`

Specificity

`actuals`

Actual occurrence data or adjusted actual occurrence data

`splitlevel.pred`

Level splitting of predicted values

`splitlevel.act`

Level splitting of actuals or adjusted actuals

`splitposition.pred`

Position splitting of predicted values

`splitposition.act`

Position splitting of actuals or adjusted actuals

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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