For the computer lab, you will be given a Jupyter notebook about spatial point pattern analysis.
In this notebook, we will cover Ripley’s K curve testing, DBSCAN and Voronoi Tessellation, a notebook will be made available on the day of the lab.
Here are the references:
- Ripley K demo notebook
- DBSCAN demo in scikit-learn
- SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data
Colab Notebook Exercises
Please follow the instructions and finish the exercises in this notebook: 
After you have completed the exercises in the notebook:
- During the lab session, tell the lab teacher so he/she can go through what you have done together and maybe ask you a few questions.
- Export the notebook in Google Colab by using
File -> Download -> Download .ipynb, then submit the notebook file to the submission form.
Computer Lab Submission Deadline: Before Wednesday at 18:00 CET
NOTE: If you cannot join the lab session, please submit the notebook before the deadline, and find the lab teacher in a next lab session to go through what you have done together.
NOTE: For the seminar on Friday, please read the paper and submit the anwsers to the question sheet before the seminar, see here for more details.