Explore space!

Slides from the talk about the concept of exploratory spatial data analysis and spatial autocorrelation.

Related reading

Chapters Global Spatial Autocorrelation and Local Spatial Autocorrelation from the Geographic Data Science with Python by Rey, Arribas-Bel, and Wolf (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.

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