Geographic Data Science

“Good Old” Spatial Data
Dani Arribas-Bel

Good old spatial data

Good old spatial data (+)

Traditionally, datasets used in the (social) sciences are:

  • Collected for the purpose –> carefully designed
  • Detailed in information (“…rich profiles and portraits of the country…”)
  • High quality

Good old spatial data (-)

But also:

  • Massive enterprises ("…every single person…) –> costly
  • But coarse in resolution (to preserve pricacy they need to be aggregated)
  • Slow: the more detailed, the less frequent they are available


  • Decenial census (and census geographies)
  • Longitudinal surveys
  • Customly collected surveys, interviews, etc.
  • Economic indicators

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A Course on Geographic Data Science by Dani Arribas-Bel is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.