PeskAAS
PeskAAS provides automated monitoring and analytics for small-scale fisheries to quantify catch, effort, and spatial-temporal patterns.
Key Features:
- Component-Based Integration: Modular design integrates vessel tracking data and catch records for combined analyses.
- Spatial and Temporal Filtering: Filters fishing productivity by fishing methods and habitats across time and space.
- FishBase Length–Weight Parameters: Incorporates species-specific length-weight parameters from FishBase to convert length data to biomass estimates.
- Automated Analytics: Produces metrics for fishing effort, catch rates, economic efficiency, and geographic patterns.
- Implementation in Shiny R: Built using the Shiny R package for interactive analytical workflows.
- Support for Sparse Data: Designed to operate with limited and sparse small-scale fisheries data.
Scientific Applications:
- Standardized monitoring: Enables systematic and standardized data collection and aggregation for small-scale fisheries.
- Catch and effort estimation: Quantifies catch rates and fishing effort for assessment of fisheries productivity.
- Biomass estimation: Uses FishBase length-weight parameters to estimate population biomass from length measurements.
- Spatio-temporal analysis: Identifies geographic preferences and temporal trends in fishing activity and habitat use.
- Fisheries management support: Provides evidence for management decisions, conservation planning, and livelihood investment prioritization.
Methodology:
Implemented in R using the Shiny R package, integrating vessel-tracking data and catch records, applying spatial and temporal filtering, incorporating species-specific length-weight parameters from FishBase, and automating analytics.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Tilley A, Lopes JDR, Wilkinson SP. PeskAAS: A near-real-time, open-source monitoring and analytics system for small-scale fisheries. Unknown Journal. 2020. doi:10.1101/2020.06.03.131656.