Homicide aggregated by 5-years
@routineactivity
Geo/Data professional. Public Safety and Policing. Create and share resources for crime analysts: https://sites.google.com/view/routineactivity/home Blog sometimes on Medium: https://medium.com/@routineactivity85
Homicide aggregated by 5-years
Simple Streamlit app to view crime rates across London Parliamentary Constitencies for years between 2011 and 2025
ltcrimerateapp-ta3g7dc2n8ca3yn8d2lphf.streamlit.app
One visual in here for longer term teen homicide www.thelancet.com/journals/lan...
Finally gotten around to picking these up this week, Cop in the Hood and Back from the Brink.
Finished Cop in the Hood โ
๏ธ
Thanks, Matt. This recent article may also be of interest (which you have probably already shared on LinkedIn :)) link.springer.com/article/10.1...
London long-term homicide trends.
Comparison with NY. The UK media recently headlined that London was now safer than NY on this measure.
Data suggests that has always been the case.
I tested a Databricks workflow to turn raw OSINT into a strategic summary (Volumes + model endpoint).
Great for processing speed; accuracy, provenance, and bias remain uncertain - use with analyst oversight and clear evaluation criteria.
medium.com/@routineacti...
Not strictly methods, but I have a shelf close by for geospatial methods combined with software and programming guides
Example, Cleveland UK: scoring high crime harm hexagons, including spatial lags, within districts
Example, Brooklyn/NYPD: finding high crime contiguous clusters of street, or individual high crime streets
Not something I usually do, but excited to share a first attempt at creating a Python package, hexseg.
It assists in streamlining two popular count-based crime analysis methods by creating hexagonal grids or street-segment analyses across geographic study areas.
github.com/routineactiv...
Nice. I've been trying to find time to do something similar with geo data
Police stops and naive denominators
link.springer.com/article/10.1...
Love this picture #middlesbrough
New paper led by Mia Puur at Lund Uni out โ
In the paper we show that combining spatial and temporal patterns is important to understand violent crime. Patterns differ a lot across weekdays vs weekends, mornings vs evenings etc.
link.springer.com/article/10.1...
London weapon homicide and gang mapping. Interactive leaflet map using open source data.
routineactivity.github.io/maps/2025-04...
Nice simple way for visualising density as elevation along street networks.
routineactivity.github.io/maps/2025-05...
Just caught up watching Game 2 NYK BOS. Woah! Was not expecting Knicks to take a 2-0 lead playing back-to-back at TD Garden.
Using Open Data to Explore Crime in Boston MA - example for how open data, combined with a few open accessible tools โ Python, PostgreSQL, and Power BI โ can help deliver timely insights from almost real-time data feeds.
medium.com/@routineacti...
Napoli ๐ฎ๐นโฅ๏ธ
The first one in that list was the most memorable, whilst 6-7 primed me for a career in public safety.
..sure there we're more..
8. Methods in Human Geography, Robin Flowerdrew
www.amazon.co.uk/Methods-Huma...
7. Defensible Space, Oscar Newman
www.amazon.co.uk/Defensible-S...
6. The Death and Life of Great American Cities, Jane Jacobs
www.amazon.co.uk/Death-Life-G...
5. Statistics in Geography, David Ebdon
www.amazon.co.uk/Statistics-G...
4. The Global City, Saskia Sassen
www.amazon.co.uk/Global-City-...
3. City of Quartz, Mike Davis
www.amazon.co.uk/City-Quartz-...
2. Progress and Poverty: An Economic and Social History of Britain 1700-1850, MJ Daunton
www.amazon.co.uk/Progress-Pov...