infrastructure_proximity_discounting: Discount raster values based on proximity to development and...

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

Discount raster values based on proximity to development and calculate remaining "high quality" habitat

Description

infrastructure_proximity_discounting is a helper function for the caribou impact analysis (impact_caribou) that discounts resource selection function (RSF) values that do not directly overlap the surface footprint of infrastructure based on their proximity to development. Then calculates the amount of remaining "high quality" habitat (sensu Johnson et al. 2005).

Usage

infrastructure_proximity_discounting(
  x,
  surf.disturb,
  quant,
  wah.hq.weight = NULL,
  zoi = 4000,
  wah = FALSE,
  caribou.out = FALSE,
  proj.info,
  wd.loc,
  path.out,
  scenario,
  n.iter = 100,
  z = NULL,
  i = NULL
)

Arguments

x	RasterLayer indicating the caribou calving RSF values, updated to set values overlapping the development footprint to zero. Created by infrastructure_overlap_to_zero.
surf.disturb	SpatialPolygonsDataFrame object representing the combined footprint of central processing facilities (CPFs), satellite pads, and roads. Created by footprint_generation.
quant	Numerical value identifying the upper quartile of the calving RSF raster. Calculated by calc_highquality.
wah.hq.weight	Western Arctic Herd (WAH) caribou habitat overlap RasterLayer object (optional, unless analyses are being run for the WAH, in which case it is required).
zoi	Numeric value indicating the zone of influence (m) in which habitat quality is discounted. Defaults to 4000 m, following Wilson et al. (2013) and Cameron et al. (2005).
wah	Logical indicator of whether the run is for the WAH. If so, runs the additional weighting analysis. Defaults to FALSE.
caribou.out	Logical indicator of whether the resulting discounted caribou RSF raster(s) should be written out. Defaults to FALSE.
proj.info	Desired projection string in EPSG code format ("EPSG:XXXX"), common to all spatial objects in the analysis.
wd.loc	Character string identifying the base directory containing both input and output data folders.
path.out	Character string identifying the relative path from the base directory (wd.loc) to where output data will be saved. Defaults to an "Output_Data" folder within the base folder.
scenario	Character vector of strings identifying the scenarios to be run.
n.iter	Integer indicating the desired number of iterations to be run for each scenario. Defaults to 100.
z	Iterator value used by dia to specify the development scenario being analyzed.
i	Iterator value used by dia to run development simulation and impacts analyses in parallel, indicating the specific iteration being run.

Value

Integer value specifying the number of high-quality habitat pixels (weighted value if wah = TRUE) remaining after discounting.

References

Cameron RD, Smith WT, White RG, Griffith B. 2005. Central Arctic caribou and petroleum development: Distributional, nutritional, and reproductive implications. Arctic 58:1-9.

Johnson CJ, Boyce MS, Ray CL, Cluff DH, Gau RJ, Gunn A, Mulders R. 2005. Cumulative effects of human developments on arctic wildlife. Wildlife Monographs 160:1-36.

Wilson RR, Liebezeit JR, Loya WM. 2013. Accounting for uncertainty in oil and gas development impacts to wildlife in Alaska. Conservation Letters 6:350-358.

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