Lab 9 - Points

Notebook

• ipynb
• html
• pdf

Data

This lab uses a sample of geo-referenced tweets for the city of Liverpool. Go to the Datasets tab and check the “Geo-referenced tweets” section to find out more information about the data as well as instructions to download it.

Required before the practical

Watch the section on points of the SciPy’16 tutorial on Geographic Data Science with PySAL.

[YouTube - Min 1:50:00 to 2:30:00] [Online materials]

Additional materials

• A very good resource for kernel density estimation in Python is provided in this blog post by Jake Vanderplas.
• The R package spatstat provides extensive functionality to statistically describe and model point patterns.