Statistical modelling of environmental trends over both time and space

Rincon, Francisco Andres (2010) Statistical modelling of environmental trends over both time and space. MSc(R) thesis, University of Glasgow.

Abstract

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.

• Item Type: Thesis (MSc(R))
• Qualification Level: Masters
• Keywords: additive models, nonparametric regression, environmental trends over time and space, river networks
• Subjects: Q Science > QA Mathematics
• Colleges/Schools: College of Science and Engineering > School of Mathematics and Statistics > Statistics
• Supervisor's Name: Bowman, Dr. Adrian W. and Scott, Dr. E. Marian
• Date of Award: 2010
• Depositing User: Mr Francisco Andres Rincon
• Unique ID: glathesis:2010-1450
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 18 Jan 2010
• Last Modified: 10 Dec 2012 13:40
• URI: https://theses.gla.ac.uk/id/eprint/1450