qHAe/Crime-Hotspot-Detection-and-Mapping ? reverse-engineered prompt

Build me a notebook that analyzes a city crime dataset and shows where crime hotspots are forming on a map.

I want it to load the included crime files, clean the data, and then find clusters of incidents using K Means and DBSCAN. It should also create a density heatmap so the busiest areas are easy to spot, and include a simple forecast of future crime patterns using time based modeling. Please make the results visual and easy to understand, with charts and an interactive map view if possible.

Keep the workflow in one clear notebook, with comments that explain what each step is doing. Use the provided CSV and spatial files, and make sure the output includes readable summaries of the hotspots, not just raw numbers. If you need current docs or a small library detail, look it up online.