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Calculate Individual Fisher Performance Metrics by Gear Type

get_individual_gear_metrics.Rd

Calculates key fishery performance metrics at the individual fisher level from validated catch data, stratified by gear type. This function provides the same metrics as get_individual_metrics but includes gear type as an additional grouping variable, allowing for analysis of gear-specific performance patterns.

Usage

get_individual_gear_metrics(validated_data = NULL)

Arguments

validated_data

A data frame containing validated fishery data with columns:

  • landing_site: Name of the landing site (will be renamed to BMU)

  • landing_date: Date of landing

  • fisher_id: Unique identifier for each fisher

  • gear: Type of fishing gear used

  • no_of_fishers: Number of fishers

  • total_catch_kg: Total catch in kilograms

  • total_catch_price: Total catch value in currency

  • trip_cost: Cost of fishing trip in currency

Value

A data frame with monthly aggregated metrics by BMU, gear type, and individual fisher:

  • BMU: Name of the Beach Management Unit (title case)

  • date: First day of the month

  • fisher_id: Unique identifier for each fisher

  • gear: Type of fishing gear used

  • mean_cpue: Average catch (kg) per fisher

  • mean_rpue: Average revenue per fisher

  • mean_price_kg: Average price per kg

  • mean_costs: Average trip costs per fisher

  • mean_profit: Average profit per fisher (revenue minus costs)

Details

This function extends the individual fisher analysis by incorporating gear type as an additional stratification variable. Individual fisher metrics are calculated as follows:

  • CPUE = Aggregated catch (kg) / Total fishers

  • RPUE = Aggregated revenue / Total fishers

  • Price per kg = Total revenue / Total catch (median across trips)

  • Costs = Median trip cost

  • Profit = RPUE - Costs

The function filters for records with non-missing landing dates and fisher IDs, then aggregates data by landing date, BMU, gear type, and fisher ID before calculating monthly averages. This allows for comparison of performance across different gear types for the same fisher, as well as gear-specific benchmarking across fishers. Only fishers with individual identification are included in the analysis.

See also

get_individual_metrics for metrics without gear stratification