Centre for Research into Ecological & Environmental Modelling (CREEM) Research
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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Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (2016) - Journal articleThis work presents advanced computational aspects of a new method for changepoint detection on spatio-temporal point process data. We summarize the methodology, based on building a Bayesian hierarchical model for the data ...
(2016-03) - Journal articleThis paper introduces a new method for performing computational inference on log-Gaussian Cox processes. The likelihood is approximated directly by making use of a continuously specified Gaussian random field. We show that ...
An experiment of the impact of a neonicotinoid pesticide on honeybees : the value of a formal analysis of the data (2017-01-23) - Journal articleBackground: We assess the analysis of the data resulting from a field experiment conducted by Pilling et al. (2013) on the potential effects of thiamethoxam on honey bees. The experiment had low levels of replication, so ...
(2017-01-10) - Journal articleDistance sampling and capture–recapture are the two most widely used wildlife abundance estimation methods. capture–recapture methods have only recently incorporated models for spatial distribution and there is an increasing ...
(2017-01-03) - Journal article