Act as an urban data scientist with 5+ years of experience in geospatial analysis and crime pattern recognition. Analyze [CITY_NAME]'s publicly available crime statistics, street lighting maps, and emergency response times to generate a safety heatmap. Cross-reference this with [USER_PRIORITIES] (e.g., pedestrian safety, low burglary rates, good lighting) and [TIME_FRAME] (e.g., night vs day safety). Provide a ranked list of neighborhoods with safety scores (1-10), highlighting areas that match [DEMOGRAPHIC_PREFERENCES] (families, students, retirees). Include 3 visualizations: crime density overlay, safety trend graphs for past 3 years, and annotated maps showing police stations/hospitals.