Simulation Modelling and Statistical Analysis

MRAG has a core team of specialists with strong quantitative skills that can develop simulation models and conduct statistical analysis to help better understand natural resource system dynamics. This includes use of advanced multivariate statistical techniques such as exploratory generalised additive models (GAMs) and generalised linear models (GLMs) to help describe and interpret complex data patterns. MRAG has routinely applied GLMs to standardise fisheries catch-per-unit-effort data for resource assessments.

At MRAG we have developed considerable experience in a wide range of modelling techniques to aid decision-making, such as stochastic management strategy evaluation (MSE) simulation models, in addition to bio-economic and socio-economic models.

Projects include use of MSE techniques to investigate the impact of different tropical fish life-history strategies on fisheries management in addition to optimal management of Control of Foreign Fisheries.

MRAG has developed a suite of computer software packages to aid fisheries management under the UK DFID-funded Fisheries Management Science Programme (FMSP). These include Catch-effort-data-analysis (CEDA), length-frequency-data-analysis (LFDA), Yield and ParFish.

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