scalable_spatial_analytics
Grad Course, CE 263N – Scalable Spatial Analytics
Course Description: Learned techniques for analyzing human dynamics (daily activities and travels) and their interactions with the built and the natural environments.
File Descriptions:
- hw1.ipynb – composed and analyzed three empirical networks, examining for small world network properties
- hw2.ipynb – modeled trip distributions of US commuter data with singly constrained gravity and radiation models, as well as analyzed network properties
- hw3.ipynb – analyzed human mobility trajectories
- hw4.ipynb – decomposed eigenbehaviors and energy consumption with PCA
- project.ipynb – analyzed the vulnerability of the Bay Area water supply network
- Final Presentation.pdf – ppt presentation on project.ipynb
- final_paper.pdf – written report analyzing the vulnerability of the Bay Area water supply network