Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series
CREEM is an inter-disciplinary research centre at the University of St Andrews, linking researchers from the schools of Mathematics and Statistics, Biology and Geography and Geosciences. Our remit is to develop and apply advanced mathematical and statistical methods to practical problems in biology, ecology and geography.
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Simulating cetacean responses to sonar exposure within a Bayesian hierarchical modelling framework : technical report (University of St Andrews, 2020-04-21) - ReportIn this report, we present a framework for simulating responses of cetaceans to various military sonar exposure contexts using Bayesian hierarchical modelling. This work was motivated by the need to assess the utility of ...
From here and now to there and then : practical recommendations for extrapolating cetacean density surface models to novel conditions (University of St Andrews, 2019-09-04) - ReportDensity surface models (DSMs) are clearly established as a method of choice for the analysis of cetacean line transect survey data, and are increasingly used to inform risk assessments in remote marine areas subject to ...
Statistical analysis of SAMBAH survey and associated data (University of St Andrews, 2016-03-01) - ReportSAMBAH (Static Acoustic Monitoring of the Baltic Sea Harbour Porpoise) was an international project involving all EU countries around the Baltic Sea, funded by those countries and by the EU Life program (Project Number ...
Evaluating the effect of measurement error in pairs of 3D bearings in point transect sampling estimates of density (University of St Andrews, 2018-03-27) - Report
Status and future of research on the behavioural responses of marine mammals to U.S. Navy sonar (University of St Andrews, 2015) - ReportA review of the status and future of research into behavioral responses of marine mammals to naval sonar exposure was undertaken to evaluate the return on investment of current US Navy funded programs, identify the data ...