gear_params {mizer}

Gear parameters

Description

These functions allow you to get or set the gear parameters stored in a MizerParams object. These are used by setFishing() to set up the selectivity and catchability and thus together with the fishing effort determine the fishing mortality.

Usage

gear_params(params)

gear_params(params) <- value

Arguments

params

A MizerParams object

value

A data frame with the gear parameters.

Details

The gear_params data has one row for each gear-species pair and one column for each parameter that determines how that gear interacts with that species. The columns are:

• species The name of the species

• gear The name of the gear

• catchability A number specifying how strongly this gear selects this species.

• sel_func The name of the function that calculates the selectivity curve.

• One column for each selectivity parameter needed by the selectivity functions.

For the details see setFishing().

There can optionally also be a column yield_observed that allows you to specify for each gear and species the total annual fisheries yield. This is used by calibrateYield() and matchYields().

The fishing effort, which is also needed to determine the fishing mortality exerted by a gear is not set via the gear_params data frame but is set with initial_effort() or is specified when calling project().

If you change a gear parameter, this will be used to recalculate the selectivity and catchability arrays by calling setFishing(), unless you have previously set these by hand.

⁠gear_params<-⁠ automatically sets the row names to contain the species name and the gear name, separated by a comma and a space. The last example below illustrates how this facilitates changing an individual gear parameter.

Value

Data frame with gear parameters

See Also

validGearParams()

Other functions for setting parameters: setExtEncounter(), setExtMort(), setFishing(), setInitialValues(), setInteraction(), setMaxIntakeRate(), setMetabolicRate(), setParams(), setPredKernel(), setReproduction(), setSearchVolume(), species_params()

Examples

params <- NS_params

# gears set up in example
gear_params(params)

# setting totally different gears
gear_params(params) <- data.frame(
    gear = c("gear1", "gear2", "gear1"),
    species = c("Cod", "Cod", "Haddock"),
    catchability = c(0.5, 2, 1),
    sel_fun = c("sigmoid_weight", "knife_edge", "sigmoid_weight"),
    sigmoidal_weight = c(1000, NA, 800),
    sigmoidal_sigma = c(100, NA, 100),
    knife_edge_size = c(NA, 1000, NA)
    )
gear_params(params)

# changing an individual entry
gear_params(params)["Cod, gear1", "catchability"] <- 0.8