GAMstd_dataset: GAMstd_dataset

In FESta: Fishing Effort Standardization

GAMstd_dataset

Description

A simulated fisheries dataset for demonstrating Generalized Additive Model (GAM) standardization of Catch Per Unit Effort (CPUE).

Usage

GAMstd_dataset

Format

A data frame with 4200 observations and 6 variables:

Year

Fishing year.

Gear

Fishing gear used during the fishing operation.

SST

Sea surface temperature (°C).

Depth

Fishing depth (m).

Effort

Fishing effort expended during the fishing operation.

Catch

Observed catch. Catch values were simulated so that the resulting CPUE values are generally greater than one, producing positive log-transformed CPUE values.

Details

The dataset contains fishing catch and effort observations collected over multiple years together with environmental covariates. The catch values were generated to produce positive log-transformed CPUE values, making the dataset particularly suitable for illustrating the log_transform = TRUE option in GAMstd().

The dataset includes temporal, operational, and environmental variables commonly used in fisheries standardization studies. Fishing year and gear type can be treated as fixed effects, while sea surface temperature and fishing depth can be incorporated as smooth terms in the GAM.

See Also

GAMstd

Examples

## Not run: 
library(FESta)
data("GAMstd_dataset")
result<-GAMstd(data=GAMstd_dataset,year_col='Year',catch_col='Catch',
effort_col='Effort',fixed_effects = c("Year", "Gear"),
smooth_terms = c("SST", "Depth"), k=10,log_transform = TRUE)
print(result)

## End(Not run)

FESta documentation built on Aug. 20, 2026, 5:10 p.m.