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Helpful resources

🔵 Data 🗺

You can use what ever data you want. But here are a few sources which could help you to get started or give you new ideas 👇

🔵 Tools 🔨🔧

Because the challenge is aimed to be open for everyone, the tools listed here will be open source tools. Still, the challenge can be done with any kind of software (or even without any software). Programming skills are not a requirement to do the maps.

  • QGIS
    • A Free and Open Source Geographic Information System. A desktop software that allows you to read/write multiple data formats and output (mainly static) maps.
  • Kepler
    • Open source geospatial analysis tool for large-scale data sets and for interactive maps.
  • Aerialod
    • Not really a GIS tool, but can be used to create some stunning 3D visualizations
  • Blender
    • Free and open source 3D creation suite. Check out the BlenderGIS extension.
  • R packages for geospatial
  • Mapshaper
    • Useful for geospatial data processing in the browser such as file format conversion, map projection, feature simplification, filtering, clipping, merging etc. Can also be run locally from the command line.
  • Vega-Lite
  • Vega
    • More flexible but lower-level declarative visualization specification including cartographic output. Specifications can be written directly in JSON or via program language interfaces such elm-vega.
  • Litvis
    • Literate Visualization notebook environment optimised for specifying visualizations and documenting the design process. While not specific to cartography, can be a useful environment for exploring cartographic design.
  • Observable
    • Reactive notebook environment for generation of visualization and cartographic output embedded in a textual narrative. Focus is on using d3 for specifying visual output.

🔵 Tutorials + helpful resources 📚