prep_general_inputs: Prepare input data that will be used in all scenarios

In tfullman/dia: Monte Carlo Development Simulation and Wildlife Impacts Analysis

Prepare input data that will be used in all scenarios

Description

prep_general_inputs loads and prepares input data that is common to all scenarios to be evaluated, like existing infrastructure layers, relative estimated undiscovered oil, and the land/water cost map.

Usage

prep_general_inputs(
  rd.exist.file,
  pad.exist.file,
  oil.av.file,
  cost.map.file,
  d2cpf = 35000,
  wd.loc,
  path.in,
  proj.info
)

Arguments

rd.exist.file	Character string specifying the file name for the shapefile depicting existing roads as lines.
pad.exist.file	Character string specifying the file name for the shapefile depicting existing central processing facility (CPF) and satellite pads as points.
oil.av.file	Character string specifying the file name for the relative estimated undiscovered oil raster.
cost.map.file	Character string specifying the file name for the cost map raster, which has all water areas coded as 0 and all land as 1.
d2cpf	Numeric value indicating the minimum allowed distance (m) between two central processing facilities (CPFs). Defaults to 35,000 m.
wd.loc	Character string identifying the base directory containing both input and output data folders.
path.in	Character string identifying the relative path from the base directory (wd.loc) to where input data are stored. Defaults to an Input_Data folder within the base folder.
proj.info	Desired projection string in EPSG code format ("EPSG:XXXX"), common to all spatial objects in the analysis.

Value

List containing input data used for infrastructure simulation across all scenarios. This includes the land/water RasterLayer (cost_map), road resistance RasterLayer that makes development across water possible (cost_water), RasterLayer indicating relative estimated undiscovered oil (oil_av), RasterLayer depicting the infrastructure exclusion zone around the Willow CPF (willow_cpf_ras), SpatialPolygonsDataFrame of existing CPF and satellite gravel pads (pad_exist), SpatialLinesDataFrame of existing roads (rd_exist), data.frame with xy coordinates of existing infrastructure (exist_coords), and SpatialPointsDataFrame depicting the Willow CPF location (willow_spdf). Many of these feed into prep_scenario_inputs.

tfullman/dia documentation built on Oct. 17, 2023, 6:31 p.m.