Interactive maps are indispensable tools for exploring spatial datasets because of their real-world context and intuitiveness. For a comprehensive understanding of the data, it is often necessary to switch between several map layers (such as states and counties) and to analyze multiple variables simultaneously - both of which are challenging. In this talk, I will show how we can overcome these challenges using the leafdown package, which allows us to create multi-layer maps embedded in Shiny apps.
Talk materials are available at https://github.com/rstudio/rstudio-conf/blob/master/2022/andreashofheinz/leafdown_presentation%20-%20Andreas%20H.pdf.
Andreas is a consultant at d-fine and maintainer of the leafdown R package. He is passionate about interactive data visualizations and interpretable machine learning. He holds a B.Sc. in Economics and an M.Sc. in Statistics from LMU Munich.
