Re-create the Rosser et al. paper using the Chicago data. Notebooks in order they should be run / investigated:
- Input data : Collects and processes the data we need
- Hotspotting.ipynb : Demonstrates making hotspots on a network with the two prediction methods.
- Grid to network hotspotting.ipynb : Demonstrates how to take a grid based prediction and produce a network based hotspot map.
- Cross-Validation.ipynb : Perform cross-validation to find the "optimal" bandwidths, for the network prediction.
- Cross-Validation grid : Same, but using a grid based predictor.
- Grid Network Comparison.ipynb : Compare the network and grid based predictions using hit rate.