Centre for Research into Ecological & Environmental Modelling (CREEM)
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.
For more information please visit the Centre for Research into Ecological & Environmental Modelling (CREEM) home page.
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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 ...
(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 ...
Surveying abundance and stand type associations of Formica aquilonia and F. lugubris (Hymenoptera: Formicidae) nest mounds over an extensive area : Trialing a novel method (2012-01-03) - Journal articleRed wood ants are ecologically important members of woodland communities, and some species are of conservation concern. They occur commonly only in certain habitats in Britain, but there is limited knowledge of their numbers ...
Assessing the utility and limitations of accelerometers and machine learning approaches in classifying behaviour during lactation in a phocid seal (2018-10-16) - Journal articleBackground: Classifying behaviour with animal-borne accelerometers is quickly becoming a popular tool for remotely observing behavioural states in a variety of species. Most accelerometry work in pinnipeds has focused on ...