Revival 5/5: framework README, Natal example notebook and get_city_shape - #6
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- crime_mapping.get_city_shape(place_query): thin wrapper around osmnx.geocode_to_gdf returning the raw city shape (tests included) - PredictionPipeline.evaluate accepts a list of scorings and returns a DataFrame from a single time series CV pass - examples/natal.ipynb: end-to-end walkthrough on Natal with synthetic data (study area from OSM, synthetic events, grids, KDE vs QuadratCount, bandwidth comparison, features, pipeline evaluation, recursive forecasts, hotspot recovery check); examples/build_natal_notebook.py regenerates it - README reorganised: framework section summarising Chapter 3 of the thesis with Figures 7-12 (docs/assets/thesis), thesis linked in Resources, Status moved to the end - Documentation: the home page is now generated from the README (docs/hooks/readme.py) and the notebook is rendered via mkdocs-jupyter under "Examples" Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FtZdc2gGrDh4PGSLyT9yRE
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Summary
Stacked on #5.
crime_mapping.get_city_shape(place_query): thin wrapper aroundosmnx.geocode_to_gdfreturning the raw city shape (with tests)PredictionPipeline.evaluateaccepts a list of scorings (["r2", "mse"]) and returns a DataFrame from one time series CV passexamples/natal.ipynb: end-to-end walkthrough on Natal with synthetic data (study area from OSM, synthetic events, grids, KDE vs QuadratCount, bandwidth comparison, features, evaluation, recursive forecasts, hotspot recovery);examples/build_natal_notebook.pyregenerates itdocs/assets/thesis), thesis linked in Resources, Status moved to the enddocs/hooks/readme.py); notebook rendered under Examples via mkdocs-jupyterThe notebook is committed without outputs for now; it will be re-executed (outputs included) before merge.
🤖 Generated with Claude Code
https://claude.ai/code/session_01FtZdc2gGrDh4PGSLyT9yRE