Philip Savoy

Interdisciplinary aquatic and terrestrial scientist

Model development

For nearly a decade, I have been trying to better understand the natural world through developing and interpreting models. Models allow us to encapsulate our current understanding of a process and test it against observations. Through this iterative process we can both gain new insights and improve model accuracy.

Data harmonization

My work relies on compiling large multi-source public datasets of climate data, remote sensing, land use, site conditions, and field measurements. In turn, I make these harmonized datasets, along with outputs from models I develop, publicly available and have created multiple public datasets totalling over 80 million records.

Programmatic workflows

To facilitate this work I build robust and well documented code. I extensively use R to pull in and harmonize data, develop models, create data visualizations, author packages, and communicate results with collaborators and stakeholders. Programmatic workflows allow for transparency, reproducibility, and customized solutions.