generate_cpf | R Documentation |
generate_cpf
simulates the location of central processing facilities
(CPFs) as a function of relative estimated undiscovered oil, development
restrictions, and the presence of waterbodies. CPFs are "the operational
center for long-term production" of an oilfield (BLM 2019a, p. B-6) so
infrastructure simulation starts with CPFs. CPF locations approximate the
locations of newly discovered oil accumulations suitable for development
(Wilson et al. 2013).
generate_cpf(
oil.im,
n.cpf = c(3, 7),
d2cpf = 35000,
debug.out = FALSE,
wd.loc,
path.out,
n.iter = 100,
proj.info = NULL,
scenario = NULL,
z = NULL,
i = NULL
)
oil.im |
Object of type " |
n.cpf |
Indicator of the desired number of CPFs to be generated. This
can either be a single integer value, indicating a fixed number of CPFs, or
a range |
d2cpf |
Numeric value indicating the minimum allowed distance (m) between two central processing facilities (CPFs). Defaults to 35,000 m. |
debug.out |
Logical indicator of whether intermediate infrastructure .csv
files should be written out for the purpose of debugging code. Defaults to
|
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 ( |
n.iter |
Integer indicating the desired number of iterations to be run for each scenario. Defaults to 100. |
proj.info |
Desired projection string in EPSG code format ( |
scenario |
Vector of character strings identifying the scenarios being run. |
z |
Iterator value used by |
i |
Iterator value used by |
List containing a data.frame of simulated CPF locations (cpf_df
),
SpatialPoints object of CPF locations (cpf_sp
), and integer indicating
the number of simulated CPFs in the current iteration (tmp_n_cpf
).
BLM [Bureau of Land Management] 2019a. National Petroleum Reserve in Alaska Draft Integrated Activity Plan and Environmental Impact Statement. Bureau of Land Management, U.S. Department of the Interior, Anchorage, AK, USA.
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.
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