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Geographic Data Science

"Good Old" Spatial Data [Dani Arribas-Bel](http://darribas.org)

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

Examples

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

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