Run a SeabORD simulation — seabord • seabORD

A model to estimate the population consequences of displacement from proposed offshore renewable energy developments for key seabird species. The function performs one or more stochastic simulation replicates and returns summaries of adult, chick, flight and survival metrics.

Usage

seabord(
  Par,
  modPar,
  ordPar,
  switches,
  seamask,
  spadat1,
  spadat2,
  spdat,
  BrdData,
  FrgCompData,
  fltdist_base,
  FlightGridcorrection,
  ORDpoly
)

Arguments

Par: List - The main parameters controlling/defining this run
modPar: List - Parameters relating to the model mode and computer environment
ordPar: List - Input parameters relating to the ORDs
switches: List - A set of switches/flags used to control optional features of the run
seamask: Raster - land/sea grid, 1km expected.
spadat1: Tibble - Information relating to the colony/SPA
spadat2: Tibble - Information relating to the colony/SPA
spdat: Dataframe - Species-specific parameters
BrdData: Raster - Bird distribution map - derived from GPS data or failing that, a distance-decay model
FrgCompData: Raster - Competition distribution map - derived from GPS data or failing that, a distance-decay model
fltdist_base: Raster - Flight distance by sea, without ORDs. See user guide for details.
FlightGridcorrection: Raster - Flight distance transition layer (gdistance) corrected for distortions relating to the CRS
ORDpoly: Multipolygon (simple features) - The ORD footprints

Value

A list containing tibbles

Details

Before running this function, all model inputs must be prepared. A complete description of the required input objects is provided in: vignette("C_KI_inputs", package = "seabORD")