sim_sets: Simulate survey sets

In PaulRegular/SimSurvey: Test Surveys by Simulating Spatially-Correlated Populations

Simulate survey sets

Description

Simulate survey sets

Usage

sim_sets(
  sim,
  subset_cells,
  n_sims = 1,
  trawl_dim = c(1.5, 0.02),
  min_sets = 2,
  set_den = 2/1000,
  resample_cells = FALSE
)

Arguments

sim	Simulation object from sim_distribution
subset_cells	Logical expression indicating the elements (x, y, depth, cell, division, strat, year) of the survey grid to keep (e.g., cell < 100)
n_sims	Number of simulations to produce
trawl_dim	Trawl width and distance (same units as grid)
min_sets	Minimum number of sets per strat
set_den	Set density (number of sets per grid unit squared)
resample_cells	Allow resampling of sampling units (grid cells)? (Note: allowing resampling may create bias because depletion is imposed at the cell level)

Value

Returns a data.table including details of each set location.

Examples

sim <- sim_abundance(ages = 1:5, years = 1:5) %>%
          sim_distribution(grid = make_grid(res = c(20, 20)))

## Multiple calls can be useful for defining a custom series of sets
standard_sets <- sim_sets(sim, year <= 2, set_den = 2 / 1000)
reduced_sets <- sim_sets(sim, year > 2 & !cell %in% 1:100, set_den = 1 / 1000)
sets <- rbind(standard_sets, reduced_sets)
sets$set <- seq(nrow(sets)) # Important - make sure set has a unique ID.

survey <- sim_survey(sim, custom_sets = sets)

plot_survey(survey, which_year = 3, which_sim = 1)

PaulRegular/SimSurvey documentation built on Sept. 21, 2023, 7:42 p.m.