Description Usage Arguments Value See Also Examples

`kfold_disc`

creates a k-fold partitioning of geographical data for
cross-validation based on the distance between points. The n points nearest
to a selected point are put into a group. Returns a vector with fold numbers
ranging from 1 to k.

1 | ```
kfold_disc(data, k = 5, lonlat = TRUE)
``` |

`data` |
Matrix or dataframe. The first two columns should represent the
longitude and latitude (or x,y coordinates if |

`k` |
Integer. The number of folds (partitions) that have to be created. By default 5 folds are created. |

`lonlat` |
Logical. If |

A vector with fold numbers ranging from 1 to k.

`plot_folds`

, `kfold_grid`

,
`kfold`

, `kfold_occurrence_background`

1 2 3 4 5 6 7 8 9 | ```
set.seed(42)
lonlat_data <- cbind(runif(11, -180, 180), runif(11, -90, 90))
folds <- kfold_disc(lonlat_data, k = 5)
plot_folds(lonlat_data, folds)
# use the euclidean distance
xy_data <- cbind(runif(11, 0, 100), runif(11, 0, 100))
folds <- kfold_disc(xy_data, k = 5, lonlat = FALSE)
plot_folds(xy_data, folds)
``` |

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