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Validate Wild Fisheries Survey Data

validate_landings.Rd

This function validates preprocessed fisheries survey data using a comprehensive approach adapted from the Peskas Zanzibar pipeline. It performs both basic data quality checks and composite economic indicator validation to ensure data integrity.

Usage

validate_landings(log_threshold = logger::DEBUG)

Arguments

log_threshold

Logging threshold level (default: logger::DEBUG)

Value

This function does not return a value. Instead, it processes the data and uploads both the validated results and validation flags to cloud storage.

Details

The validation process follows a two-stage approach:

Stage 1: Basic Data Quality Checks (Flags 1-7)

  1. Form completeness: Catch outcome is "1" but catch_taxon is missing

  2. Catch info completeness: Catch taxon exists but no weight or individuals

  3. Length validation: Fish length below species minimum

  4. Length validation: Fish length above species 75th percentile maximum

  5. Bucket weight: Weight per bucket exceeds 50kg

  6. Bucket count: Number of buckets exceeds 300

  7. Individual count: Number of individuals exceeds 200 per record

Stage 2: Composite Economic Indicators (Flags 8-10)

  1. Price per kg: Exceeds 1875 MZN/kg (~30 EUR/kg, following Zanzibar thresholds)

  2. CPUE: Catch per unit effort exceeds 30 kg/fisher/day

  3. RPUE: Revenue per unit effort exceeds 1875 MZN/fisher/day

Submissions with any validation flags are excluded from the final validated dataset but the flags are preserved for data quality monitoring.

Note

This function requires a configuration file accessible via read_config() providing cloud storage connection details.

Examples

if (FALSE) { # \dontrun{
validate_landings()
} # }