disppool: Create a probabilistic dispersal pool.
In ChrKoenig/probpool: An implementation of probabilistic species pools

Description Usage Arguments Details Value References See Also Examples

Creates a RasterBrick of dispersal probabilities that can be used as argument in probpool.

1 2	disppool(disp_ability, occurrences, conductance, method = c("negexp", "fattail"), longlat = TRUE)

`disp_ability`	A numeric vector of dispersal abilities. [WHAT IS THE UNIT HERE?]
`conductance`	Optional. A Raster* object representing landscape conductance for dispersal. Takes values between 0 and 1, where 0 indicates complete resistance (P(dispersal to raster cell) = 0) and 1 indicates complete conductance (P(dispersal to raster cell) = p). If a single RasterLayer is provided, the conductance matrix will be recycled for each species.
`method`	A number specifying the kernel used for estimating dispersal distance. (see details)
`longlat`	Logical. Should calculations be based on long/lat?
`occurences`	A Raster* object containing occurrence data for individual species. Each species is represented by a binary RasterLayer, where cell values of 0 indicate absence and 1 indicates presence.

[DETAILS GO HERE]

A raster stack containing species-specific probabilities of dispersal from areas of occurrence to a certain raster cell within a given time frame.

Tamme, R., Götzenberger, L., Zobel, M., Bullock, J. M., Hooftman, D. A. P., Kaasik, A. and Pärtel, M. (2014), Predicting species' maximum dispersal distances from simple plant traits. Ecology, 95: 505–513. doi:10.1890/13-1000.1

probpool