A new initiative launched by the label, called ‘Fashion Like’, allows shoppers to click the ‘like’ button on the brand’s Facebook page for certain items of clothing — and this real-time data is then collated and thrown into the physical world by being displayed on clothes racks in its stores. Certain stores around Brazil now possess these real-time ‘like’ hangers. Once a person likes an item on Facebook, that data simultaneously appears in the physical world. The idea behind the scheme is to help with purchasing decisions — but in reality, it will always come down to whether you appear like a beached whale in a shirt or an entrant in a beachwear contest, not if a bikini has gathered 673 likes through a social networking site. (vía Better business? Facebook ‘likes’ in real time for shoppers | SmartPlanet)
Vía @infosthetics llamadas en Suiza: Ville Vivante
Visualizing Taxis in Manhattan futurejournalismproject:
Visualizing Taxis in Manhattan
Via Digital Urban:
Taxi! is an analytical model that maps the trip data for 10,000 taxi rides over the course of 24 hours. Geographic location data for the origin and destination of each ride is combined with waypoint data collected from the Google Maps API in order to generate a geographically accurate representation of the trip.
The team used data from taxi rides originating or ending in the neighborhoods of Lincoln center or Bryant Park. The visualization recreates a ‘breathing’ map of Manhattan based on the migration of vehicles across the city over a period of 24 hours, displaying periods of intensity, density and decreased activity.
Created by Tom McKeogh, Eliza Montgomery and Juan F Saldarriaga.
H/T: Flowing Data.
(Source: futurejournalismproject, via humanscalecities)
