Find dispersal jumps after having applied find_thresholds(). Prune points selected due to sector limits and secondary diffusion.
Usage
find_jumps_wrapper(
dataset = grid_data,
nb_sectors = 12,
centroid = c(-75.67534, 40.41524),
gap_size = 15,
negatives = T
)Arguments
- dataset
A data frame of unique points to be processed, ideally the dataset_unique resulting from find_thresholds()
- nb_sectors
Number of sectors in which the invasion range is divided
- centroid
long,lat coordinates of the introduction point
- gap_size
Distance between the invasion front and the positive point necessary for it to be considered a jump, in kilometers (default: 15)
- negatives
Should negative surveys be considered? (default: TRUE)
Value
Four data frames: Jumps containing all jumps, Dist containing the
limits of the diffusive spread, diffusion containing all diffusion points, and secDiff containing secondary diffusion cells
Examples
if (FALSE) { # \dontrun{
jumps <- find_jumps(dataset)
} # }