SF Spatial-Temporal Crime Prediction (2020–2024): Capstone Project Presentation

Описание: This video presents the BDA 600 Capstone Project, which analyzes spatial–temporal crime patterns in San Francisco using SFPD incident data from 2020–2024. The project integrates machine learning classification, Prophet forecasting, and ArcGIS Online visualization to identify district-level crime trends and short-term risk predictions.

The dashboard demonstrates:

Daily crime patterns across police districts
Predicted high-incident days using an interpretable Decision Tree model
Citywide 30-day forecasts generated by Prophet
Interactive spatial visualizations for situational awareness

This project was completed by the SF Terabytes team for the San Diego State University M.S. Big Data Analytics program.

Project Team & Contact

Swikriti Joshi - [email protected]
Eddie Rosas - [email protected]