👤 Who I Am & Where I’m From

I’m Gavin L. Simpson — an applied statistician and ecologist based in Denmark (and currently affiliated with Aarhus University). Over two decades of my academic work have focused on ecology, environmental science, palaeoecology and — more recently — animal and veterinary science.

🔧 What I’m Working On

On GitHub I maintain and develop R-packages and tools for ecological and environmental data analysis. Some of my main projects include:

• gratia — providing ggplot2-based graphics and utilities for flexible modelling with generalized additive models (GAMs).

• permute — implements restricted permutation designs, which are used in the vegan to perform permutation tests on constrained ordinations.

• analogue — a package for fitting analogue methods and the Modern Analogue Technique to palaeoecological data.

• ggvegan — integrating ggplot2 graphics into ecological methods from the “vegan” package, to make community/ecology analyses more accessible.

• Several other packages and projects (e.g. ecological simulation via coenocliner) — which together support researchers in dealing with complex ecological and environmental data in reproducible, open-source ways.

• Educational and training resources — I run courses and workshops (e.g. on GAMs and multivariate ecological data analysis) to help biologists and environmental scientists make sense of data using R and modern statistical methods.

❤️ Why Your Sponsorship Matters & What It Enables

Sponsorship directly supports this work: it gives me time to fix issues, add features, improve documentation, write tutorials, and keep these tools moving forward. It also helps me create teaching materials and workshops that make complex modelling concepts easier to understand. If my work has helped your research or your learning, your support genuinely makes a difference and is incredibly appreciated.

Your sponsorship will also provide that all important coffee ☕ or beer 🍻 money to help with the coding sessions or relaxing after squashing a pesky bug in the code.