Centre for Research into Ecological & Environmental Modelling (CREEM) Theses

 

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.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Recent Submissions

  • Estimating wildlife distribution and abundance from line transect surveys conducted from platforms of opportunity 

    Marques, Fernanda F. C. (University of St Andrews, 2001) - Thesis
    Line transect data obtained from 'platforms of opportunity' are useful for the monitoring of long term trends in dolphin populations which occur over vast areas, yet analyses of such data axe problematic due to violation ...

  • Bayesian point process modelling of ecological communities 

    Nightingale, Glenna Faith (University of St Andrews, 2013-06-28) - Thesis
    The modelling of biological communities is important to further the understanding of species coexistence and the mechanisms involved in maintaining biodiversity. This involves considering not only interactions between ...

  • Estimating whale abundance using sparse hydrophone arrays 

    Harris, Danielle Veronica (University of St Andrews, 2012-06-20) - Thesis
    Passive acoustic monitoring has been used to investigate many aspects of marine mammal ecology, although methods to estimate absolute abundance and density using acoustic data have only been developed in recent years. The ...

  • Quantifying biodiversity trends in time and space 

    Studeny, Angelika C. (University of St Andrews, 2012-11-30) - Thesis
    The global loss of biodiversity calls for robust large-scale diversity assessment. Biological diversity is a multi-faceted concept; defined as the “variety of life”, answering questions such as “How much is there?” or more ...

  • Bayesian modelling of integrated data and its application to seabird populations 

    Reynolds, Toby J. (University of St Andrews, 2010-11-30) - Thesis
    Integrated data analyses are becoming increasingly popular in studies of wild animal populations where two or more separate sources of data contain information about common parameters. Here we develop an integrated population ...

View more