FSA (Fisheries Stock Assessment) package provides R functions to conduct typical introductory fisheries analyses.
Multi-species size-based ecological modelling in R
Stochastic surplus Production model in Continuous Time
This package helps fisheries scientists collect growth data from calcified structures and back-calculate estimated lengths at previous ages. The package is intended to replace much of the functionality provided by the now out-dated fishBC software.
A bundle of analytics tools for fisheries scientists
Expanding ocean food production under climate change
Slick Decision Analysis
Codebase for “Monitoring fishing activity on the edge" — an AI‑powered system using edge technologies and computer vision for near real‑time review of electronic monitoring footage.
Projection model for evaluating outcomes of catch control rules for Alaska groundfish
R package that houses at-sea functions for Alaska bottom trawl groundfish surveys.
A package for simulating marine mammal abundance and calculating reference points.
A spatial overlay tool in R for estimating EU fisheries activities inside or outside spatial restriction areas
September 2024 (appendix) and Final November SAFE report chapter for eastern Bering Sea pollock
Punjab Fisheries Department – Project Owner Lead Developer: Mian Salman (CTO, Teqtronis Systems) AI Model: KurmaAI/AQUA-7B | Open AI Framework: Laravel
Bayesian Yield-Per-Recruit Model in Stan
"Principles and applications of fisheries-independent surveys" is a 4-credit course (FISH 572) that delves into the importance of fisheries-independent surveys as a cornerstone for fisheries stock assessment and ecosystem research.
The National Information Management Facility (NIMF) is a centralised datamart design that is used to consolidate fisheries data from various operational systems.
Code repository for Kapur, M., Adams, G., Lapeylerolie, M., and Thorson, J. AI for Fisheries Science: Neural Network Tools for Forecasting, Spatial Standardization, and Policy Optimization. In review at ICES JMS.
BENTHIS WP2 Workflow revisited. Split in several parts: i) obtain a gridded swept area from interpolating bottom contacting gears tracks, and ii) obtain spatial origin of catches (landings) by dispatching landings back to interpolated VMS positions, iii) compute fuel use from VMS-derived or AIS-derived effort data and fuel use models, iv) score …
Computer code to accompany "An Introduction to Bayesian Modeling and Inference for Fisheries Scientists
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