Releases: afsc-gap-products/akfishcondition
Releases · afsc-gap-products/akfishcondition
4.1.2
4.1.1
Changes for 2024 ESR:
- New length cut-off for Pacific cod based on EFH cut-offs
- New queries that use gap_products tables
- Split make_plots.R into multiple files with one function in each
- Revert AI .Rmd to stratum biomass weighted residual method
v4.0.1
NEW DATA
- Stratum-biomass weighted groundfish morphometric condition indicator data product for the EBS, NBS, and Gulf of Alaska updated through 2023.
4.0.0
This is a preliminary update for the 2023 ESR and ESP.
NEW FUNCTIONALITY
This package update includes two new internal functions (run_sbw_condition_multimodel() and calc_lw_residuals_multimodel()) for fitting and comparing length-weight regression models. The functions calculate morphometric condition for each species as follows:
- Fit multiple candidate linear regression models to log(length)-log(weight) with covariates for sex, stratum, and/or day of year. All possible combinations of models are fitted.
- The most parsimonious model based on AIC is selected as the best length-weight regression model.
- Stratum-biomass weighted residuals are calculated for each species and region.
ADDITIONAL CHANGES
- Removed VAST condition indicator from built-in data sets.
- Modified data processing procedures to no longer process data using VAST with the aim of reducing run-times.
- Added preliminary GOA data for 2023.
3.1.0 - VAST Condition Indicator
Updates:
- Calculates VAST condition indicator using the run_vast_condition() function, where condition is the allometric intercept of the length-weight equation.
- Condition is calculated using model settings provided in built-in data sets (ESR_SETTINGS, ESP_SETTINGS).
- Condition indicators for the eastern Bering Sea shelf, northern Bering Sea, and Aleutian Islands are provided as built-in data sets (EBS_INDICATOR, AI_INDICATOR) through 2022.
- Condition indicator for the Pacific cod ESP is provided as a built-in data set (PCOD_ESP) through 2022.