Statistical modelling of environmental trends over both time and space

The analysis of environmental data represents an opportunity to use statistical tools to provide a better understanding of changes over time and space, making it easier to tackle problems such as pollution, water quality or climate change. The analysis of environmental data requires methodologies that allow us to fit models capable of explaining seasonal patterns and changes observed over time and space. The work developed in this thesis is centred on the modelling of trends over time and space simultaneously. The analysis of this information could be carried out in a marginal manner over time and space; however the main ob jective of this thesis is to fit a model using both time and space simultaneously to be able to provide a closer representation of environmental data.

Level dc:type.qualificationlevel

MSc(R)

Grantor dc:publisher.institution

University of Glasgow

Year dc:date.issued

2010

Author dc:creator

• Rincon, Francisco Andres

• QA Mathematics

Language dc:language

en