Geographic Data Science

New Forms of (Spatial) Data
Dani Arribas-Bel

New Forms of (Spatial) Data

New Forms of (Spatial) Data

Tied into the (geo-)data revolution, new sources are appearing that are:

  • Accidental –> created for different purposes but available for analysis as a side effect
  • Very diverse in nature, resolution, and quality but, potentially, much more detailed in both space and time

Different ways to categorise them…

Lazer & Radford (2017)

  • Digital life: digital actions (Twitter, Facebook, WikiPedia…)
  • Digital traces: record of digital actions (CDRs, metadata…)
  • Digitalised life: nonintrinsically digital life in digital form (Government records, web…)

Arribas-Bel (2014)

Three levels, based on how they originate:

  • Bottom up: “Citizens as sensors”
  • Intermediate: Digital businesses/businesses going digital
  • Top down: Open Government Data

Opportunities (Lazer & Radford, 2017)

  • Massive, passive
  • Nowcasting
  • Data on social systems
  • Natural and field experiments (“always-on” observatory of human behaviour)
  • Making big data small

Challenges (Arribas-Bel, 2014)

  • Bias
  • Technical barriers
  • Methodological “mismatch”

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.