Robin Lovelace is a Professor of Transport Data Science at the University of Leeds with 13 years of experience building open-source tools and data-driven solutions to improve mobility and sustainability. He leads development of influential projects such as the Department for Transport’s Propensity to Cycle Tool and contributes to widely used spatial data packages like sf and the geocomputation book geocompr. Robin blends academic research, teaching, and hands-on engineering—teaching a Transport Data Science module while developing reproducible R workflows, mapping tutorials, and animated spatial visualizations. He has led data teams in government (Active Travel England) and published practical code for reproducible spatial analysis, demonstrating both policy-facing impact and deep technical craftsmanship. Colleagues value his ability to turn complex GIS and big data problems into accessible tools and guides that help planners, researchers and the public make better decisions. An unassuming innovator, he often surfaces subtle reproducibility and documentation improvements that multiply the impact of open-source spatial software.
Introductory tutorial on graphical display of geographical information in R.
Role in this project:
Full-stack Developer
Contributions:3 releases, 509 commits, 28 PRs in 6 years 2 months
Contributions summary:Robin contributed to the introductory material of a spatial data tutorial, creating basic code examples and outlining the structure. They also updated the code snippets and added several vignettes to present different concepts, including using gganimate to animate plot generation. Further contributions involved the development of custom tile displays for the map interface using a variety of mapping and data wrangling tools.
Contributions:12 releases, 294 reviews, 3579 commits in 5 years 10 months
Contributions summary:Robin's primary contribution involved adding code to generate citations for R packages and bibliography entries for a book project. They also created and modified R scripts to generate a Venn diagram using the `sf` package and added comments, demonstrating the ability to create and document visualizations. The user was also involved in updating the project's documentation and build script, focusing on the project's overall structure and reproducibility.
geospatialgeocomputationgeorasterrspatial
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