Megan Morton

Student e-mail: 2191979L@student.gla.ac.uk

Staff e-mail: Megan.Laxton@glasgow.ac.uk

 

ResearchGate: https://www.researchgate.net/profile/Megan-Laxton 

Web of Science: https://www.webofscience.com/wos/author/record/M-7732-2015 

ORCID iDhttps://orcid.org/0000-0002-5017-7395

Research title: Developing a nested, multiscale framework for modelling animal movement processes from long-term tracking data

Research Summary

Thesis

My research is focused on developing a nested, multiscale framework for modelling animal movement processes from long-term tracking data.

Research Interests

I am interested in spatial and spatiotemporal modelling of ecological processes; particularly animal movement and species distribution modelling. Much of my work centers around point process and geostatistical modelling using Integrated Nested Laplace Approximation (INLA).

Publications

List by: Type | Date

Jump to: 2023
Number of items: 1.

2023

Laxton, M. R. , Nightingale, G., Lindgren, F., Sivakumaran, A. and Othieno, R. (2023) Extending the R number by applying hyperparameters of Log Gaussian Cox process models in an epidemiological context to provide insights into COVID-19 positivity in the City of Edinburgh and in students residing at Edinburgh University. PLoS ONE, 18(11), e0291348. (doi: 10.1371/journal.pone.0291348) (PMID:37988358) (PMCID:PMC10662770)

This list was generated on Sat Dec 21 05:37:05 2024 GMT.
Jump to: Articles
Number of items: 1.

Articles

Laxton, M. R. , Nightingale, G., Lindgren, F., Sivakumaran, A. and Othieno, R. (2023) Extending the R number by applying hyperparameters of Log Gaussian Cox process models in an epidemiological context to provide insights into COVID-19 positivity in the City of Edinburgh and in students residing at Edinburgh University. PLoS ONE, 18(11), e0291348. (doi: 10.1371/journal.pone.0291348) (PMID:37988358) (PMCID:PMC10662770)

This list was generated on Sat Dec 21 05:37:05 2024 GMT.

Supervisors

Grants

My PhD research is funded by the UKRI Engineering and Physical Sciences Research Council (EPSRC).