For analysts and community planners working with crime incident data, get a hotspot summary, compare counts by area or time period, and generate Python code for a heat map. Share incident dates, locations, and the question you need answered; leave with a map-making script, a ranked list of hotspots, and notes on patterns worth checking against local context.
Heat Maps
Map crime hotspots from incident data and explain where patterns cluster.
Use Heat Maps
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What it writes
- Ranked list of crime hotspots
- Python script for a heat map
- Summary of time and location patterns
How to use it
In your first message, include a few sample incident rows, the date range, the location format, and the comparison you want. That lets the analysis and map code match your data.
What you bring
- Incident dates and locations
- Crime type and analysis period
- Area boundaries or coordinate system
- Incident data in text or table form
A good fit for
- Comparing burglary hotspots across neighborhoods over the last six months
- Checking whether late-night incidents cluster around transit stops
- Preparing a crime pattern summary for a community planning meeting
Ways to start
A few requests this Agent can handle.
I have 240 theft incidents with dates and latitude-longitude coordinates from January through June. Help me compare hotspots by month.
These are the robbery counts for five neighborhoods over the past year: North 42, East 31, Central 68, South 19, West 27. Which areas stand out?
I want a Python heat map of vehicle break-ins within a 3-mile radius of downtown. My records have dates and street addresses; what format should I use?
Good to know
This workspace provides text assistance.
- Don't treat hotspot estimates as proof of individual risk
- Cannot access crime databases or open uploaded files
- Cannot render or verify a map in chat
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Can I use the response in my work?
Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
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