diseaseSIM_helper: Run energy-dynamic based model for one replicate

In bgoch5/abmr: Agent-Based Models in R (Development Version)

Run energy-dynamic based model for one replicate

Description

Runs agent based modeling for one replicate of a single species.

Usage

diseaseSIM_helper(
  sp,
  env_orig,
  env_subtract,
  days,
  sigma,
  dest_x,
  dest_y,
  mot_x,
  mot_y,
  search_radius,
  optimum_lo,
  optimum_hi,
  init_energy,
  direction,
  single_rast,
  mortality,
  energy_adj,
  disease_loc,
  disease_radius,
  disease_mortality,
  disease_energy_interact
)

Arguments

sp	A species object
days	Integer, how many days (timesteps), would you like to model
sigma	Numeric, amount of random error
dest_x	Numeric, destination x coordinate (longitude)
dest_y	Numeric, destination y coordinate (latitude)
mot_x	Numeric, movement motivation in x direction
mot_y	Numeric, movement motivation in y direction
search_radius	Radius of semicircle to South of current location to search for next timestep (in km)
optimum_lo	come back
optimum_hi	come back
init_energy	come back
direction	come back
mortality	Logical, should low energy levels result in death?
disease_loc	Dataframe of x,y coordinates specifying the location of disease clusters.
disease_radius	Numeric (0,Infty), what is the maximum distance from the source point is capable capable of causing disease?
disease_mortality	Numeric (0,1] What proportion of agents who pass directly over disease source (maximum disease load) will experience mortality? Assume mortality rate then linearly decreases to 0 at disease_radius.
disease_energy_interact	Numeric (0,100] Below what energy level should all agents exposed to disease die?
env	Raster, should represent NDVI or your environmental variable of interest
sp_poly	Come back to this

Value

A nx3 dataset containing longitude and latitude and energy points for all n timesteps

bgoch5/abmr documentation built on Sept. 1, 2023, 9:27 a.m.