Communication is a vital part of science, and visualisation of data and scientific results is a key part of that process. A visualisation should engage the audience, conveying the methods and results of the study and providing a conceptual link to real-world phenomena and processes. 3D printers are now cheap and widely available, including in schools and higher education institutions, and could potentially be used to create novel, engaging, physical representations of data.

The aim of this submission was to explore ways of transforming GBIF data into 3D-printed representations, as a novel approach to data visualisation. Two examples are provided: the spatial distributions of two closely-related deer species, and the re-establishment of the brown pelican in North America following population crashes in the 1970s.

Built With

  • blender
  • other-r-packages
  • pronterface
  • r
  • r2stl
  • rgbif
  • slic3r
  • worldclim
Share this project: