This function sets up the core matrices for the matrix diagnostics and the simulation model.
1 2 3 4 | setup.matrices(K_g, spe, SpTraits, p, S, landscape, landscape.identifiers,
distances, B1.template, B2.template, P, M_sub, DispPath, vdb.data,
change.count, outpath.base, num.sim, run.times = NA, run.lbl = NA,
multi.species.K = 0, edge.type = "TORUS")
|
K_g |
Carrying capacity in grams |
spe |
Total number of species in the species pool |
SpTraits |
A dataframe containing species traits |
p |
The number of cells in a square landscape |
S |
The number of stages in the matrix model |
landscape |
a list of environmental layers, each with a value for each cell in the landscape |
landscape.identifiers |
A list of single-letter identifiers for each environmental layer |
distances |
Distances between each cell in the landscape |
B1.template |
A template for the B1 demography matrix |
B2.template |
A template for the B2 demography matrix |
P |
The vec-permutation matrix |
M_sub |
The M matrix template |
DispPath |
The path to the dispersal tables |
vdb.data |
An indicator for whether or not to create visual debugger data |
change.count |
The change step |
outpath.base |
The base output path. |
num.sim |
The number of simulations to use in creating dispersal probabilities |
run.times |
(optional, defaults to NA) For timing the function |
run.lbl |
= (optional, defaults to NA) For labeling the timing of the function |
multi.species.K |
(default is 0) An indicator for whether a multispecies carrying capacity is desired |
edge.type |
(default is "TORUS") An indicator for what type of landscape edge is desired. |
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