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More model informationPro-tip: do not hesitate to pause and scroll through the animation !
Still a WIP, but I’m making progress with OpenData (after some tests with NY), and decided to explore the dataset of the arrests in Los Angeles from 2010 to present.
I animated the data by regrouping the arrests according to the time of the day (each frame represents 15 min, and the animation starts at midnight), and regrouped them under 7 distinct categories (c.f. annotation).
Some interesting patterns might be related to:
- partying and fighting in Hollywood and Downtown LA (big bright spots)
- alcohol and drug consumption late at night (red roads)
- prostitution and gambling on the boulevards (bright blue lines)
- pick-pockets at touristic places? (turquoise spots)
- …
What I’d like to try next:
- Animated legends for readability
- “Time of day” system
- Better layering: is 3D really relevant for such datasets ?
CC AttributionCreative Commons Attribution
Jul 15th 2019
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