run_sim_lambda: Run lambda simulation

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

Description

Run the simulation. Currently, it runs all time steps, but for the economic model, the structure will need to be slightly adjusted to run a single time step. The initialization is separated from this function for that reason.

Usage

run_sim_lambda(ngrid, ncell, g.p, lambda, lc.df, sdd.pr, N.init,
  method = "wt.mn", verbose = F)

Arguments

ngrid	Number of grid cells in entire map
ncell	Number of inbound grid cells
g.p	Named list of global parameters set with set_g_p
lambda	Vector of length n.lc with lambdas for each land cover type
lc.df	Dataframe or tibble with xy coords, land cover proportions, and cell id info
sdd.pr	Array with sdd probabilities and neighborhoods created by sdd_set_probs
N.init	Matrix or array with initial population sizes created by pop_init
method	"wt.mn" Method for calculating cell expectations, taking values of "wt.mn" or "lm". If "wt.mn", the expectation for each parameter is the weighted mean across land cover types proportional to their coverage, with the land cover specific values stored in the parameter vectors. If "lm", the expectation is calculated in a regression with the slopes contained in each parameter vector. Individuals cannot be assigned to specific land cover categories with "lm", so "m" must be scalar.
verbose	TRUE Show progress bar?

Value

Matrix N of abundances for each cell and time step and vector lambda.E of predicted lambda value for each cell

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