Week 3 - Spatial Data

Slides

• html
• pdf

To do before class

• TED talk by Carlo Rati about MIT’s SENSEable City Lab projects: excellent set of examples
• New York Times piece on US buildings map
• GHSL Dataset, by the European Comission

Related readings

• The part of the lecture on new sources of data relies on (Arribas-Bel, 2014) and (Lazer & Radford, 2017).
• (Goodchild, 2007): a classic on the rise of volunteered geographic information.
• (Kitchin, 2014): recent book on the data revolution from a Social Science/Human geography perspective.

References

1. Arribas-Bel, D. (2014). Accidental, open and everywhere: Emerging data sources for the understanding of cities . Applied Geography , 49, 45–53. http://doi.org/http://dx.doi.org/10.1016/j.apgeog.2013.09.012 The New Urban World .
2. Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211–221.
3. Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. Sage.
4. Lazer, D., & Radford, J. (2017). Data ex Machina: Introduction to Big Data. Annual Review of Sociology, (0).