sdd_set_probs: Set short distance dispersal probabilities

In Sz-Tim/gbPopMod: Mechanistic species distribution model for glossy buckthorn (*Frangula alnus*)

Description

Assign base dispersal probabilities from each cell. Each layer k in [1:i, 1:j, k, source.id] is the SDD neighborhood for cell n. k=1 contains pr(SDD | source.id,i,j); k=2 contains the grid id for each cell in the neighborhood.

Usage

sdd_set_probs(ncell, lc.df, g.p, edges = "wall", lc.col = 4:9,
  verbose = F)

Arguments

ncell	Number of inbound grid cells
lc.df	Dataframe or tibble with xy coords, land cover proportions, and cell id info
g.p	Named list of global parameters
edges	"wall" Boundary behavior
lc.col	4:9 Column indexes for land cover proportions
verbose	FALSE Give updates for number of cells completed?

Value

List with full neighborhoods,i, sparse representation, sp, and sparse dataframe sp.df. The full array has dim(disp.rows, disp.cols, 2, ncell) where the third dimension contains grid id's for the neighborhood or probabilities to each target cell. The sparse representation contains a list with containing the cells dispersing into each cell and a list with the associated probabilities. The sparse dataframe is a dataframe with a row for each non-zero i-j pair with columns for i, j, and dispersal probability

Sz-Tim/gbPopMod documentation built on Dec. 7, 2020, 1:07 p.m.