Spatial data old and new

Slides from the talk about the nature of old spatial data and new spatial data, adapted from Arribas-Bel (2019), drawing from the work of Lazer and Radford (2017) and Arribas-Bel (2014).

TipRelated reading

Parts of the chapter Spatial Data dealing with tabular data from the Geographic Data Science with Python by Rey et al. (2023).

Acknowledgements

This section is derived from A Course on Geographic Data Science by Arribas-Bel (2019), licensed under CC-BY-SA 4.0.

References

Arribas-Bel, Dani. 2019. “A Course on Geographic Data Science.” The Journal of Open Source Education 2 (14). https://doi.org/10.21105/jose.00042.

Arribas-Bel, Daniel. 2014. “Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities.” Applied Geography 49: 45–53. https://doi.org/10.1016/j.apgeog.2013.09.012.

Lazer, David, and Jason Radford. 2017. “Data Ex Machina: Introduction to Big Data.” Annual Review of Sociology 43 (1): 19–39.

Rey, Sergio, Dani Arribas-Bel, and Levi John Wolf. 2023. Geographic Data Science with Python. Chapman & Hall/CRC Texts in Statistical Science. Taylor & Francis.