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: 2018 | 2016 | 2005 | 2004
Number of items: 4.

2018

McCartan, Rebecca and Elliott, Mark A. (2018) Bi-dimensional attitudes, attitude accessibility and speeding behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 58. pp. 581-593. ISSN 1369-8478

2016

Durkin, Kevin and Toseeb, Umar and Pickles, Andrew and Botting, Nicola and Conti-Ramsden, Gina (2016) Learning to drive in young adults with language impairment. Transportation Research Part F: Traffic Psychology and Behaviour, 42. pp. 195-204. ISSN 1369-8478

2005

Elliott, Mark A. and Armitage, Christopher J. and Baughan, Christopher J. (2005) Exploring the beliefs underpinning drivers' intentions to comply with speed limits. Transportation Research Part F: Traffic Psychology and Behaviour, 8 (6). pp. 459-79. ISSN 1369-8478

2004

Elliott, Mark A. and Baughan, Christopher J. (2004) Developing a self-report method of investigating adolescent road user behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 7 (6). pp. 373-393. ISSN 1369-8478

This list was generated on Thu Jul 2 08:22:09 2020 BST.