Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2014 | 2013 | 2001
Number of items: 3.

2014

Lee, Duncan and Rushworth, Alastair and Sahu, Sujit K. (2014) A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution. Biometrics, 70 (2). pp. 419-429. ISSN 0006-341X

2013

Rushworth, Alastair M. and Bowman, Adrian W. and Brewer, Mark J. and Langan, Simon J. (2013) Distributed lag models for hydrological data. Biometrics, 69 (2). pp. 537-544. ISSN 0006-341X

2001

Inglis, Iain M. and Gray, Alison J. (2001) An evaluation of semi-automatic approaches to contour segmentation applied to fungal hyphae. Biometrics, 57 (1). pp. 232-239. ISSN 0006-341X

This list was generated on Sat Jul 4 07:28:55 2020 BST.