Waterborne Search Waterborne Navigation

ServiceProbabilistic Analysis


Probabilistic analysis is increasingly recognized as the standard for ecological risk assessment. Unlike deterministic approaches where a model outcome is always the same, probabilistic analysis incorporates real-world uncertainty into a model, due to estimated variability in model inputs, as well as random variability (stochasticity). We use techniques such as distribution-fitting and Monte Carlo analysis to evaluate uncertainties of numerical models brought about by uncertainty in input data, model parameters, spatio-temporal scale, model assumptions and model structure. Samples of model inputs are drawn from probability distributions either locally (one-at-at-time sampling), or globally, to create a matrix of scenarios or possibilities that model outputs can take. The full spectrum of model realization becomes the basis for risk assessment and managerial options.

For more detailed information visit our site on a desktop browser.