View source: R/create_survey_env.R
| create_survey_env | R Documentation |
Create a subset of the physical environment observations for an Atlantis scenario.
Uses data provided by an Atlantis scenario and adds observation error and/or bias, along with subsetting, to provide an environmental index for use in subsequent model fitting.
create_survey_env(true_env, survdepth, survboxes, survtimes)
true_env |
A |
time |
The timing of the survey (a vector indicating specific time steps, which are typically associated with years) i.e., seq(365,10*3650,365) would be an annual survey for 10 years |
layer |
Which layer to sample, surface or bottom? or numeric model layer |
boxes |
A vector of box numbers |
The function takes physical data from an Atlantis scenario
where the data was read in from Atlantis output using load_nc_physics.
One does not need to use these functions to create dat, rather you must only
ensure that the structure of dat is the same.
Currently, the function subsets the data by polygon and time, with the user defining
a single layer, either "bottom" or "surface", to sample. Possible environmental variables
from load_nc_physics include "salt", "NO3", "NH3", "Temp", "Oxygen", "Si",
"Det_Si", "DON", "Chl_a", "Denitrifiction", "Nitrification".
Only one variable is loaded with a call to load_nc_physics, so this
function also takes one environmental variable at a time and subsets to specific
defined polygons, and specific defined time representing a survey.
The function returns a subsetted matrix with the same columns as the input data, i.e.,:
variable
polygon
layer
time
atoutput
Kelli Faye Johnson, Sarah Gaichas
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