Nature in Data
My research interests
I find work most fulfilling when I can really delve into a research question and identify new tools to understand the natural world. Here are some examples of favourite pieces of work.
My masters project. Here I constructed a hierarchical generalised extreme value model to estimate future return levels for daily precipitation using the UKCP18 ensemble.
Gauss Markov random fields for global marine biogeochemical data
Here I tested different spatial random effects using R-INLA. I use an approach that enforces a hard-barrier constraint meaning that the spatial correlation between locations is dependent on the shortest path avoiding land.
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Functional data analysis of biogeochemical-Argo chlorophyll-a profiles
I conducted the first functional regression analysis on chlorophyll-a data from Bio-Argo floats. This helped identify distinct biogeographical regions as well as improve understanding of the mechanisms behind the formation of subsurface chlorophyll maxima.
Animal movement behaviour example
Introduction to analysing animal movements using a variety of packages in R. I use an example of blue whale tracks along the Pacific coast of North America.
